{
 "title": "UK BUSINESS AI UNIVERSE: Labs",
 "built": "2026-10-31 17:13 UTC",
 "last_checked": "2026-10-29",
 "checked_range": [
  "2026-10-29",
  "2026-10-29"
 ],
 "as_of": "2026-10-29",
 "buckets": [
  {
   "key": "co",
   "label": "Companies",
   "color": "#d1495b",
   "count": 88
  },
  {
   "key": "inv",
   "label": "Investors and funds",
   "color": "#2e86de",
   "count": 0
  },
  {
   "key": "deal",
   "label": "Deals",
   "color": "#10ac84",
   "count": 0
  },
  {
   "key": "prog",
   "label": "Schemes, programmes and AI lines",
   "color": "#f39c12",
   "count": 4
  },
  {
   "key": "site",
   "label": "Data centres and compute sites",
   "color": "#8e44ad",
   "count": 11
  },
  {
   "key": "org",
   "label": "Networks, bodies, events and media",
   "color": "#34495e",
   "count": 16
  },
  {
   "key": "part",
   "label": "Partnerships and contracts",
   "color": "#e67e22",
   "count": 1
  },
  {
   "key": "prod",
   "label": "Chips, models and products",
   "color": "#e84393",
   "count": 319
  },
  {
   "key": "person",
   "label": "People",
   "color": "#9bbf00",
   "count": 0
  }
 ],
 "divisions": [
  {
   "key": "companies",
   "label": "Companies",
   "count": 376,
   "depts": [
    {
     "dept": "general-purpose AI models",
     "count": 76
    },
    {
     "dept": "speech and audio AI",
     "count": 43
    },
    {
     "dept": "generative image",
     "count": 33
    },
    {
     "dept": "biology",
     "count": 25
    },
    {
     "dept": "generative video",
     "count": 21
    },
    {
     "dept": "autonomous driving",
     "count": 19
    },
    {
     "dept": "materials science",
     "count": 16
    },
    {
     "dept": "general AI agents",
     "count": 16
    },
    {
     "dept": "AI safety research",
     "count": 15
    },
    {
     "dept": "AI video",
     "count": 14
    },
    {
     "dept": "forecasting",
     "count": 14
    },
    {
     "dept": "protein design",
     "count": 13
    },
    {
     "dept": "drug discovery",
     "count": 12
    },
    {
     "dept": "engineering simulation",
     "count": 11
    },
    {
     "dept": "energy",
     "count": 8
    },
    {
     "dept": "voice agents",
     "count": 8
    },
    {
     "dept": "AI reasoning",
     "count": 8
    },
    {
     "dept": "algorithm discovery",
     "count": 7
    },
    {
     "dept": "neuroscience",
     "count": 7
    },
    {
     "dept": "decision AI",
     "count": 6
    },
    {
     "dept": "frontier AI research",
     "count": 4
    }
   ]
  },
  {
   "key": "corporate-research-labs",
   "label": "Corporate research labs",
   "count": 18,
   "depts": [
    {
     "dept": "Corporate research labs",
     "count": 17
    },
    {
     "dept": "corporate research labs",
     "count": 1
    }
   ]
  },
  {
   "key": "frontier-and-foundation-models",
   "label": "Frontier and foundation models",
   "count": 15,
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "count": 10
    },
    {
     "dept": "frontier and foundation models",
     "count": 5
    }
   ]
  },
  {
   "key": "ai-for-science",
   "label": "AI for science",
   "count": 15,
   "depts": [
    {
     "dept": "AI for science",
     "count": 15
    }
   ]
  },
  {
   "key": "non-profit-and-independent-research-labs",
   "label": "Non-profit and independent research labs",
   "count": 12,
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "count": 12
    }
   ]
  },
  {
   "key": "new-labs-2025-26",
   "label": "New labs 2025–26",
   "count": 3,
   "depts": [
    {
     "dept": "New labs 2025–26",
     "count": 3
    }
   ]
  }
 ],
 "colleges": [],
 "nodes": [
  {
   "id": "BIZ-BIG-010",
   "name": "Microsoft AI London hub",
   "bucket": "co",
   "status": "active",
   "status_date": "2024-04-07",
   "status_detail": "Announced on 7 April 2024 by Microsoft AI, led by Jordan Hoffmann; no later page on its size was opened.",
   "one_line": "A Microsoft research and engineering team in London that works on large language models and the infrastructure behind them.",
   "description": "Microsoft announced a new Microsoft AI hub in London on 7 April 2024, to work on language models and supporting infrastructure and to build tooling for foundation models with Microsoft's AI teams and partners, including OpenAI. It is led by Jordan Hoffmann, who previously worked at Inflection and DeepMind in London. Microsoft said it would hire AI scientists and engineers for the hub. GOV.UK cited it in May 2024 among new AI investments in the UK. [Round 4, 30 Oct 2026] announced; head: Announced 7 April 2024 by Mustafa Suleyman; led by Jordan Hoffmann; works on language models and their infrastructure [Labs Round 7, 30 Oct 2026] Listed on Labs (Corporate research labs): (tile could be General-purpose AI models). Opened at Microsoft's Paddington office to work on tools for foundation models and language models; led by Jordan Hoffmann (8 Apr 2024) [Labs Round 8, 31 Oct 2026] research_focus: Large language models and their supporting infrastructure; tooling for foundation models; works with other Microsoft AI teams and OpenAI; Paddington office [Labs Round 8, 31 Oct 2026] news: 2026-10-15 — Microsoft AI completes pre-training of MAI-Base-2 (80bn active, 2.8tn total parameters, 16k GB200 GPUs over 38 days); training location not stated — https://microsoft.ai/news/frontier-pre-training-at-microsoft-ai/ [Labs Round 8, 31 Oct 2026] news: 2026-06-02 — Microsoft AI launches seven in-house MAI models (MAI-Thinking-1, MAI-Code-1-Flash, MAI-Image-2.5, MAI-Image-2.5-Flash, MAI-Transcribe-1.5, MAI-Voice-2, MAI-Voice-2-Flash); page does not mention London — https://microsoft.ai/news/building-a-hillclimbing-machine-launching-seven-new-mai-models/ [Labs Round 8, 31 Oct 2026] Listed on Labs (General-purpose AI models): reason: hub set up to advance state-of-the-art language models and foundation-model tooling, led by Jordan Hoffmann (ex-Inflection, DeepMind); NOTE parent Microsoft AI's in-house MAI models (MAI-Thinking-1, MAI-Base-2) pages do not say where they were trained",
   "uk_status": "foreign_with_uk_base",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": "Microsoft Corporation (United States)",
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "London (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Jordan Hoffmann",
     "role": "Leads Microsoft AI London hub",
     "from": "2024-04-07",
     "source": "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/"
    },
    {
     "name": "Jordan Hoffmann",
     "role": "Leads the Microsoft AI London hub",
     "from": "2024-04-07",
     "source": "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/",
     "round4": true
    },
    {
     "name": "Jordan Hoffmann",
     "role": "Leads the Microsoft AI London hub",
     "from": "2024-04-08",
     "source": "https://www.uktech.news/ai/microsoft-ai-hub-london-20240408",
     "round4": true
    },
    {
     "name": "Jordan Hoffmann",
     "role": "Leads Microsoft AI London",
     "from": "2024-04",
     "source": "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/",
     "round4": true
    },
    {
     "name": "Jordan Hoffmann",
     "role": "Lead, Microsoft AI London",
     "from": "2024-04-07 (announcement; not re-confirmed in 2026)",
     "source": "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/",
     "round4": true
    },
    {
     "name": "Mustafa Suleyman",
     "role": "EVP and CEO, Microsoft AI; leads the MAI Superintelligence Team",
     "from": "2024",
     "source": "https://microsoft.ai/news/towards-humanist-superintelligence/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Natural language applications"
   ],
   "sectors": [
    "language models",
    "AI research"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "language models",
   "function": "A Microsoft research and engineering team in London that works on large language models and the infrastructure behind them.",
   "affiliation": "Big tech in the UK",
   "sources": [
    "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/",
    "https://www.gov.uk/government/news/leading-tech-firms-invest-over-2-billion-in-the-uk-in-one-week",
    "https://www.uktech.news/ai/microsoft-ai-hub-london-20240408",
    "https://microsoft.ai/news/frontier-pre-training-at-microsoft-ai/",
    "https://microsoft.ai/news/building-a-hillclimbing-machine-launching-seven-new-mai-models/",
    "https://microsoft.ai/job-region/london-united-kingdom/",
    "https://microsoft.ai/news/introducing-mai-thinking-1/"
   ],
   "source_quotes": [
    {
     "url": "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/",
     "quotes": [
      "drive pioneering work to advance state-of-the-art language models and their supporting infrastructure\" (dated April 7, 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/leading-tech-firms-invest-over-2-billion-in-the-uk-in-one-week",
     "quotes": [
      "Microsoft recently announced a new AI hub in London\" (dated 10 May 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/microsoft-ai-hub-london-20240408",
     "quotes": [
      "as we begin hiring the best AI scientists and engineers into this new AI hub."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://microsoft.ai/news/frontier-pre-training-at-microsoft-ai/",
     "quotes": [
      "MAI-Base-2 outperforms every open-weight model we tested on our held-out evaluations."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://microsoft.ai/news/building-a-hillclimbing-machine-launching-seven-new-mai-models/",
     "quotes": [
      "Today we are announcing a family of seven new models developed in-house at Microsoft AI."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://microsoft.ai/job-region/london-united-kingdom/",
     "quotes": [
      "Research Scientist, Frontier Risk & Alignment, Futures team"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://microsoft.ai/news/introducing-mai-thinking-1/",
     "quotes": [
      "MAI-Thinking-1 is a 35B-active, ~1T-total parameters, sparse Mixture of Experts model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Natural language applications"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "London (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-009",
     "name": "Microsoft (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-009",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-001",
     "name": "OpenAI (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-001",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-049",
     "name": "Mustafa Suleyman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-049",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-050",
     "name": "Jordan Hoffmann",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-050",
     "page_label": "Talent"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Big tech in the UK"
  },
  {
   "id": "BIZ-BIG-029",
   "name": "xAI (UK) — X.AI London Ltd",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-08-25",
   "status_detail": "Companies House shows Richard Jinu Lee appointed a director of X.AI London Ltd on 25 August 2026; Jared Birchall and Adeeb Sahar have resigned as directors.",
   "one_line": "The London operation of xAI, the US company founded by Elon Musk that builds the Grok chatbot; it began hiring engineers in London in January 2025.",
   "description": "UKTN reported on 8 January 2025 that xAI was hiring software and site-reliability engineers in London, working from X's office in Piccadilly, after incorporating a UK company in December 2024 with Elon Musk listed as holding 75% or more of the shares; Toby Pohlen, a founding member of xAI, was thought to lead the London team. Companies House shows X.AI London Ltd, incorporated 12 December 2024 with a registered address at 20 Air Street, London; its directors have all been US-resident xAI-linked appointees, the latest from 25 August 2026. Its company status and number were taken from the search listing; the company page itself was not opened. [Labs Round 8, 31 Oct 2026] Merged with BIZ-LAB-2024 (xAI London, LABS) as the Labs Round 8 file asks (Part 1.3 item 26); its facts and sources now sit here.",
   "uk_status": "foreign_with_uk_base",
   "company": {
    "ch_number": "16131916",
    "registered_office": "20 Air Street, London, United Kingdom, W1B 5AN",
    "incorporated": "2024-12-12",
    "legal_form": "ltd",
    "owner_or_acquirer": "xAI (United States)",
    "headcount": null,
    "ch_number_clean": "16131916",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/16131916",
    "ch_note": null
   },
   "place": {
    "text": "20 Air Street, London (W1B 5AN)",
    "postcode": "W1B 5AN",
    "lat": 51.510762,
    "lng": -0.136698,
    "region": "England: London",
    "admin_district": "Westminster",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Richard Jinu Lee",
     "role": "Director, X.AI London Ltd",
     "from": "2026-08-25",
     "source": "https://find-and-update.company-information.service.gov.uk/company/16131916/officers"
    },
    {
     "name": "Toby Pohlen",
     "role": "Thought to lead the London team (lead — not verified)",
     "from": "2025-01-08",
     "source": "https://www.uktech.news/ai/elon-musks-xai-starts-hiring-in-london-after-setting-up-shop-20250108",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Natural language applications"
   ],
   "sectors": [
    "general-purpose AI models",
    "chat assistants"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-xai-uk",
   "type": "Companies",
   "category": "general-purpose AI models",
   "function": "The London operation of xAI, the US company founded by Elon Musk that builds the Grok chatbot; it began hiring engineers in London in January 2025.",
   "affiliation": "Big tech in the UK",
   "sources": [
    "https://www.uktech.news/ai/elon-musks-xai-starts-hiring-in-london-after-setting-up-shop-20250108",
    "https://find-and-update.company-information.service.gov.uk/search?q=x.ai+limited",
    "https://find-and-update.company-information.service.gov.uk/company/16131916/officers",
    "https://x.ai/careers/open-roles"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/elon-musks-xai-starts-hiring-in-london-after-setting-up-shop-20250108",
     "quotes": [
      "will be based in X's (formerly Twitter's) office in Piccadilly",
      "software engineers on both the front and backend\" (dated 8 January 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search?q=x.ai+limited",
     "quotes": [
      "X.AI LONDON LTD\" \"16131916\" \"Incorporated 12 December 2024\" \"20 Air Street, London, United Kingdom, W1B 5AN"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16131916/officers",
     "quotes": [
      "LEE, Richard Jinu\" \"Director\" \"25 August 2026",
      "BIRCHALL, Jared\" \"Director\" (Resigned) \"12 December 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://x.ai/careers/open-roles",
     "quotes": [
      "Member of Technical Staff - Reasoning"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Natural language applications"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "20 Air Street, London (W1B 5AN)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-065",
     "name": "Richard Jinu Lee",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-065",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "part_of",
     "name": "xAI"
    },
    {
     "kind": "part_of",
     "name": "xAI"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Big tech in the UK"
  },
  {
   "id": "BIZ-BIG-033",
   "name": "Samsung AI Center Cambridge",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Samsung Research's page lists Timothy Hospedales as Head of AIC-Cambridge and of Samsung's Europe AI Center; the page carries no date.",
   "one_line": "The Cambridge AI research laboratory of Samsung, working on on-device AI, machine learning and how people interact with devices.",
   "description": "Samsung Research runs an AI Center in Cambridge, UK, opened in 2018 according to the earlier pass (the 2018 Samsung release could not be re-opened in this session). Its research areas are Future Interaction, Embedded AI, and Machine Learning and Data Intelligence, covering topics such as vision and language, federated learning and neural rendering. Timothy Hospedales is listed as head of the Cambridge centre and of Samsung's Europe AI Center, and Georgios Tzimiropoulos as its leader. [Labs Round 7, 30 Oct 2026] Listed on Labs (Corporate research labs) [Big tech Round 1, 30 Oct 2026] Samsung Electronics (UK): commercial headquarters in Chertsey, Surrey; the Samsung AI Centre Cambridge was set up in 2018 with University of Cambridge researchers and works on on-device AI, model compression, mobile computer vision and robotics for Galaxy AI. (Big tech file, line 96; no source link given.)",
   "uk_status": "foreign_with_uk_base",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": "Samsung Electronics",
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "Cambridge (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Timothy Hospedales",
     "role": "Head of AIC-Cambridge and Head of Europe AI Center",
     "from": null,
     "source": "https://research.samsung.com/aicenter_cambridge"
    },
    {
     "name": "Georgios Tzimiropoulos",
     "role": "Leader of AIC-Cambridge",
     "from": null,
     "source": "https://research.samsung.com/aicenter_cambridge"
    },
    {
     "name": "Timothy Hospedales",
     "role": "Head of Europe AI Center; Head of AIC-Cambridge",
     "from": "not stated",
     "source": "https://research.samsung.com/aicenter_cambridge",
     "round4": true
    },
    {
     "name": "Georgios Tzimiropoulos",
     "role": "Leader of AIC-Cambridge",
     "from": "not stated",
     "source": "https://research.samsung.com/aicenter_cambridge",
     "round4": true
    },
    {
     "name": "Andrew Blake",
     "role": "Founding Head (past)",
     "from": "not stated",
     "source": "https://research.samsung.com/news/Head-of-Samsung-AI-Center-Cambridge-wins-2021-Longuet-Higgins-Prize",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Perceptual systems",
    "AI development and training"
   ],
   "sectors": [
    "consumer electronics",
    "on-device AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-samsung-uk",
   "type": "Companies",
   "category": "consumer electronics",
   "function": "The Cambridge AI research laboratory of Samsung, working on on-device AI, machine learning and how people interact with devices.",
   "affiliation": "Big tech in the UK",
   "sources": [
    "https://research.samsung.com/aicenter_cambridge",
    "https://research.samsung.com/news/Head-of-Samsung-AI-Center-Cambridge-wins-2021-Longuet-Higgins-Prize",
    "https://research.samsung.com/blog/Personalized-Sound-Enhancement-A-Journey-From-Idea-To-Deployment-Into-The-Hands-Of-Millions-Of-Samsung-Users",
    "https://research.samsung.com/aicenter"
   ],
   "source_quotes": [
    {
     "url": "https://research.samsung.com/aicenter_cambridge",
     "quotes": [
      "Located in Cambridge, UK.",
      "Head of AIC-Cambridge",
      "Current scientific interests of the AIC-Cambridge include the following research areas."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.samsung.com/news/Head-of-Samsung-AI-Center-Cambridge-wins-2021-Longuet-Higgins-Prize",
     "quotes": [
      "founding Head of the Samsung AI Center in Cambridge"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.samsung.com/blog/Personalized-Sound-Enhancement-A-Journey-From-Idea-To-Deployment-Into-The-Hands-Of-Millions-Of-Samsung-Users",
     "quotes": [
      "Our solution runs real time entirely on Samsung devices and does not require any cloud connectivity"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.samsung.com/aicenter",
     "quotes": [
      "Samsung Research Artificial Intelligence Center (SAIC) was established in November 2017."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Perceptual systems",
    "AI development and training"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Cambridge (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-060",
     "name": "Timothy Hospedales",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-060",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-061",
     "name": "Georgios Tzimiropoulos",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-061",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "part_of",
     "name": "Samsung Research (Samsung Electronics)"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Big tech in the UK"
  },
  {
   "id": "BIZ-BIG-034",
   "name": "IBM Research UK",
   "bucket": "co",
   "status": "active",
   "status_date": "2021-06-04",
   "status_detail": "The five-year £210m partnership with STFC's Hartree Centre began in June 2021 and was due to run to about mid-2026; no page opened says whether it has been renewed.",
   "one_line": "The UK research arm of the US computing company IBM, with labs at Hursley, near Winchester, and Daresbury, Cheshire, working on AI and quantum computing.",
   "description": "IBM Research has UK locations at Hursley and Daresbury. In June 2021 IBM and the Science and Technology Facilities Council's Hartree Centre began a five-year, £210m partnership to create the Hartree National Centre for Digital Innovation (BIZ-BIG-035), with 60 new scientists, interns and students joining IBM Research and the Hartree Centre. In June 2026 the UK government said the Regulatory Innovation Office had partnered with IBM on an AI hackathon. IBM's wider UK commercial business is not described here. [Round 4, 30 Oct 2026] UK parent head: Leon Butler, Chief Executive of IBM UK and Ireland (June 2025) [Round 4, 30 Oct 2026] programme: IBM expanding SkillsBuild with free AI courses (June 2026); founding partner of AI Skills Boost [Labs Round 7, 30 Oct 2026] Listed on Labs (Corporate research labs) [Big tech Round 1, 30 Oct 2026] IBM (UK): sites in London, Hursley and Daresbury; runs the £210m Hartree National Centre for Digital Innovation with STFC at Daresbury (AI and quantum computing), Hursley software labs, watsonx, and a CCS public-sector MoU that ran to July 2026. (Big tech file, line 122; no source link given.) [Gemini gap Round 1, 31 Oct 2026] IBM's lab page gives the address as IBM United Kingdom Limited, Hursley Park, Winchester, i.e. the lab is part of IBM United Kingdom Limited rather than a separate company. [Gemini gap Round 1, 31 Oct 2026] Legal entity: IBM UNITED KINGDOM LIMITED (Companies House 00741598, Active; checked 31 Oct 2026).",
   "uk_status": "foreign_with_uk_base",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": "IBM (International Business Machines Corporation)",
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "Hursley, Winchester (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [
    {
     "name": "Leon Butler",
     "role": "Chief Executive of IBM UK and Ireland",
     "from": "— (as at 2025-06-08)",
     "source": "https://www.gov.uk/government/news/pm-launches-national-skills-drive-to-unlock-opportunities-for-young-people-in-tech",
     "round4": true
    },
    {
     "name": "Juan Bernabe Moreno",
     "role": "Director, IBM Research Europe, UK and Ireland",
     "from": "— (named 2024-12)",
     "source": "https://www.hartree.stfc.ac.uk/news/2024/12/10/a-new-partnership-to-power-uk-fusion-powerplants/",
     "round4": true
    },
    {
     "name": "Juan Bernabé-Moreno",
     "role": "Director of IBM Research Europe for Ireland and the UK (TokaMind partner)",
     "from": null,
     "source": "https://research.ibm.com/blog/fusion-plasma-ai-model",
     "round4": true
    },
    {
     "name": "Michael Bradley",
     "role": "UK Senior Research Manager, IBM Research",
     "from": "not stated",
     "source": "https://research.ibm.com/people/michael-bradley",
     "round4": true
    },
    {
     "name": "Helen Stanton",
     "role": "Program Manager for Research",
     "from": "not stated",
     "source": "https://research.ibm.com/labs/uk",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation"
   ],
   "sectors": [
    "AI research",
    "quantum computing",
    "hybrid cloud"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "status_detail",
     "text": "The £210m HNCDI partnership with STFC was still described as running on 20 October 2025, when STFC launched the Mary Coombs supercomputer under it; renewal after mid-2026 not found."
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-ibm-uk",
   "type": "Companies",
   "category": "AI research",
   "function": "The UK research arm of the US computing company IBM, with labs at Hursley, near Winchester, and Daresbury, Cheshire, working on AI and quantum computing.",
   "affiliation": "Big tech in the UK",
   "sources": [
    "https://uk.newsroom.ibm.com/2021-06-04-UK-STFC-Hartree-Centre-and-IBM-Begin-Five-Year-210-Million-Partnership-to-Accelerate-Discovery-and-Innovation-with-AI-and-Quantum-Computing",
    "https://www.gov.uk/government/publications/digital-and-technologies-sector-plan-year-one-update/digital-and-technologies-sector-plan-year-one-update",
    "https://www.ukri.org/news/stfc-launches-powerful-new-ai-supercomputer-for-industry/",
    "https://www.gov.uk/government/news/pm-launches-national-skills-drive-to-unlock-opportunities-for-young-people-in-tech",
    "https://www.gov.uk/government/news/government-to-partner-with-tech-companies-trade-unions-and-industry-leaders-to-boost-ai-adoption-and-equip-workers-with-ai-skills",
    "https://research.ibm.com/labs/uk",
    "https://research.ibm.com/people/michael-bradley",
    "https://research.ibm.com/blog/ibm-stfc-accelerating-innovation",
    "https://research.ibm.com/blog/fusion-plasma-ai-model",
    "https://find-and-update.company-information.service.gov.uk/company/00741598"
   ],
   "source_quotes": [
    {
     "url": "https://uk.newsroom.ibm.com/2021-06-04-UK-STFC-Hartree-Centre-and-IBM-Begin-Five-Year-210-Million-Partnership-to-Accelerate-Discovery-and-Innovation-with-AI-and-Quantum-Computing",
     "quotes": [
      "a five-year, £210 million partnership with IBM",
      "an additional 60 new scientists, interns and students",
      "in Hursley and Daresbury\" (dated 4 June 2021)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/publications/digital-and-technologies-sector-plan-year-one-update/digital-and-technologies-sector-plan-year-one-update",
     "quotes": [
      "RIO has partnered with IBM, to co-host an AI Hackathon to develop AI solutions to common regulatory barriers"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ukri.org/news/stfc-launches-powerful-new-ai-supercomputer-for-industry/",
     "quotes": [
      "a collaboration between STFC and IBM"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://www.gov.uk/government/news/pm-launches-national-skills-drive-to-unlock-opportunities-for-young-people-in-tech",
     "quotes": [
      "Chief Executive of IBM UK and Ireland"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/government-to-partner-with-tech-companies-trade-unions-and-industry-leaders-to-boost-ai-adoption-and-equip-workers-with-ai-skills",
     "quotes": [
      "IBM expanding its SkillsBuild programme with new, free AI learning courses"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.ibm.com/labs/uk",
     "quotes": [
      "Based at Hursley, our teams have been constantly contributing to creating what's next in computing."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.ibm.com/people/michael-bradley",
     "quotes": [
      "a senior manager with over 20 years of experience with IBM"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.ibm.com/blog/ibm-stfc-accelerating-innovation",
     "quotes": [
      "identifying past and current flood events using satellite data"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.ibm.com/blog/fusion-plasma-ai-model",
     "quotes": [
      "TokaMind is a first step toward evaluating the different ideas being explored."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/00741598",
     "quotes": [
      "IBM UNITED KINGDOM LIMITED | Company number 00741598 | Active | Building C Ibm Hursley Office, Hursley Park Road, Winchester, Hampshire, United Kingdom, SO21 2JN"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Hursley, Winchester (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-SVC-021",
     "name": "IBM UK (AI consulting and AI skills)",
     "page": "services",
     "href": "../services/#org=BIZ-SVC-021",
     "page_label": "Services and skills"
    },
    {
     "kind": "partner_of",
     "id": "GOV-RES-011",
     "name": "STFC Hartree Centre",
     "page": "government",
     "href": "../../government/research/ukri/#org=GOV-RES-011",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "partner_of",
     "id": "GOV-BIST-006",
     "name": "Regulatory Innovation Office (RIO)",
     "page": "government",
     "href": "../../government/bist/#org=GOV-BIST-006",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-BIG-035",
     "name": "Hartree National Centre for Digital Innovation (IBM and STFC)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-035",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-BIG-048",
     "name": "Mary Coombs supercomputer, Hartree Centre (IBM–STFC HNCDI programme)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-048",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-BIG-2044",
     "name": "IBM–Crown Commercial Service memorandum of understanding",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-2044",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-CLD-6028",
     "name": "Hartree Centre, IBM and UKAEA fusion foundation-model partnership",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-6028",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Big tech in the UK"
  },
  {
   "id": "BIZ-CHIP-009",
   "name": "Literal Labs",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Appointed Jim Darragh as non-executive chairman (company news, 3 March 2026); renamed from Mignon Technologies Ltd on 13 November 2025; last funding was a £4.6m pre-seed in mid-2025. Companies House shows LITERAL LABS LTD as Active (checked 31 Oct 2026).",
   "one_line": "Builds a form of AI based on logic rules rather than neural networks, designed to run on very little power on small chips.",
   "description": "Literal Labs, based in Newcastle, builds AI models using Tsetlin machines, which it delivers as Logic-Based Networks; the approach aims to use less energy than neural networks. Its chief executive is Noel Hurley, a former Arm executive. It raised a £4.6m pre-seed round backed by Northern Gritstone, reported in June 2025. Its company was incorporated in March 2023 as Mignon Technologies Ltd and took the name Literal Labs Ltd on 13 November 2025. In March 2026 it appointed Jim Darragh as non-executive chairman. [Round 4, 30 Oct 2026] LABS: Newcastle University spin-out building logic-based AI models meant to beat neural networks on speed and energy use. [Round 4, 30 Oct 2026] origin: Newcastle University spin-out (2023); ChipStart UK cohort 1 [Round 7, 30 Oct 2026] Chips and hardware: Spun out of Newcastle University in 2023 (CEO Noel Hurley, ex-Arm; CTO Leon Fedden; Co-founders Prof. Alex Yakovlev & Prof. Rishad Shafik). Uses Tsetlin Machine Logic-Based Networks (LBNs) via its ModelMill platform to run deterministic, GPU-free AI inference at 100x lower power.",
   "uk_status": "uk",
   "company": {
    "ch_number": "14746541",
    "registered_office": "3rd Floor Maybrook House, 27-35 Grainger Street, Newcastle Upon Tyne, United Kingdom, NE1 5JE",
    "incorporated": "2023-03-21",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "14746541",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/14746541",
    "ch_note": null
   },
   "place": {
    "text": "Newcastle upon Tyne (NE1 5JE)",
    "postcode": "NE1 5JE",
    "lat": 54.970856,
    "lng": -1.615895,
    "region": "England: North East",
    "admin_district": "Newcastle upon Tyne",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Noel Hurley",
     "role": "CEO",
     "from": null,
     "source": "https://www.literal-labs.ai/press/literal-labs-pre-seed-round.html"
    },
    {
     "name": "Jim Darragh",
     "role": "Non-Executive Chairman",
     "from": "2026-03-03",
     "source": "https://www.literal-labs.ai/about/news/"
    },
    {
     "name": "Noel Hurley",
     "role": "chief executive (ex-Arm VP)",
     "from": "2023",
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Leon Fedden",
     "role": "CTO",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Alex Yakovlev",
     "role": "co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Rishad Shafik",
     "role": "co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Noel Hurley",
     "role": "chief executive",
     "from": "2023",
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Leon Fedden",
     "role": "chief technology officer",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Alex Yakovlev",
     "role": "academic co-founder (spun out from Newcastle University)",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Rishad Shafik",
     "role": "academic co-founder (spun out from Newcastle University)",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "round4": true
    },
    {
     "name": "Noel Hurley",
     "role": "Chief Executive Officer",
     "from": "2023",
     "source": "https://tech.eu/2025/06/02/literal-labs-raises-ps46m-to-advance-energy-eeficient-ai-models/",
     "round4": true
    },
    {
     "name": "Leon Fedden",
     "role": "Chief Technology Officer",
     "from": null,
     "source": "https://www.literal-labs.ai/about/",
     "round4": true
    },
    {
     "name": "Jim Darragh",
     "role": "Non-Executive Chairman",
     "from": "2026-03-04",
     "source": "https://www.literal-labs.ai/about/news/jim-darragh-appointed-chairman.html",
     "round4": true
    },
    {
     "name": "Alex Yakovlev",
     "role": "co-founder",
     "from": "2023",
     "source": "https://www.literal-labs.ai/about/",
     "round4": true
    },
    {
     "name": "Rishad Shafik",
     "role": "co-founder",
     "from": "2023",
     "source": "https://www.literal-labs.ai/about/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 4600000,
     "currency": "GBP",
     "date": "2025-06-02",
     "detail": "pre-seed backed by Northern Gritstone (date is that of the company's news item)",
     "raw": "funding_round: 4600000 GBP 2025-06-02 — pre-seed backed by Northern Gritstone (date is that of the company's news item)",
     "amount_gbp": 4600000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£4.6m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "AI infrastructure"
   ],
   "sectors": [
    "low-power AI",
    "edge AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Companies House check, 29 Oct 2026",
     "field": "description/status_detail",
     "text": "description/status_detail → add previous name: Companies House lists \"MIGNON TECHNOLOGIES LTD (21 Mar 2023 - 13 Nov 2025)\"; the company has been called Literal Labs Ltd since 13 November 2025."
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-literal-labs",
   "type": "Companies",
   "category": "low-power AI",
   "function": "Builds a form of AI based on logic rules rather than neural networks, designed to run on very little power on small chips.",
   "affiliation": "Chips and hardware",
   "sources": [
    "https://find-and-update.company-information.service.gov.uk/company/14746541",
    "https://www.literal-labs.ai/press/literal-labs-pre-seed-round.html",
    "https://www.literal-labs.ai/about/news/",
    "https://find-and-update.company-information.service.gov.uk/company/14746541",
    "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
    "https://www.siliconcatalyst.uk/portfolio-companies",
    "https://www.literal-labs.ai/about/",
    "https://tech.eu/2025/06/02/literal-labs-raises-ps46m-to-advance-energy-eeficient-ai-models/",
    "https://www.literal-labs.ai/about/news/jim-darragh-appointed-chairman.html"
   ],
   "source_quotes": [
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14746541",
     "quotes": [
      "LITERAL LABS LTD\" \"3rd Floor Maybrook House, 27-35 Grainger Street, Newcastle Upon Tyne\" \"Active\" \"21 March 2023\" \"MIGNON TECHNOLOGIES LTD (21 Mar 2023 - 13 Nov 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.literal-labs.ai/press/literal-labs-pre-seed-round.html",
     "quotes": [
      "£4.6 million",
      "our CEO Noel Hurley",
      "Crafted in Newcastle, Great Britain."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.literal-labs.ai/about/news/",
     "quotes": [
      "03.03.2026\" \"Jim Darragh appointed as Non-Executive Chairman at Literal Labs",
      "02.06.2025\" \"Literal Labs funding - raises £4.6M"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14746541",
     "quotes": [
      "LITERAL LABS LTD",
      "Active",
      "21 March 2023",
      "62090 - Other information technology service activities",
      "MIGNON TECHNOLOGIES LTD"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/ai-firm-from-ex-arm-exec-scores-4-6m-investment-20250602",
     "quotes": [
      "The company was spun out of Newcastle University by AI researchers Dr Alex Yakovlev and Dr Rishad Shafik."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.siliconcatalyst.uk/portfolio-companies",
     "quotes": [
      "Literal Labs has developed an ML technique that uses a combination of propositional logic"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.literal-labs.ai/about/",
     "quotes": [
      "Spun out of Newcastle University in 2023"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/06/02/literal-labs-raises-ps46m-to-advance-energy-eeficient-ai-models/",
     "quotes": [
      "(trade) — headline \"Literal Labs raises £4.6M to advance faster, energy-efficient AI models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.literal-labs.ai/about/news/jim-darragh-appointed-chairman.html",
     "quotes": [
      "The opportunity for these unique AI models is significant"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "AI infrastructure"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": "Newcastle upon Tyne (NE1 5JE)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-051",
     "name": "Northern Gritstone",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-051",
     "page_label": "Investors"
    },
    {
     "kind": "spun_out_of",
     "id": "UNI:newcastle/NCLAI-002",
     "name": "Universities: newcastle/NCLAI-002",
     "page": "universities",
     "href": "https://hazy-wreath-hez6.here.now/newcastle/",
     "page_label": "UK Universities AI Universe (new tab)"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-051",
     "name": "Northern Gritstone",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-051",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-075",
     "name": "Noel Hurley",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-075",
     "page_label": "Talent"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-051",
     "name": "Northern Gritstone",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-051",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2175",
     "name": "Mercuri",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2175",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: made_by",
     "id": "BIZ-CHIP-7046",
     "name": "Literal Labs ModelMill",
     "page": "chips",
     "href": "../chips/#org=BIZ-CHIP-7046",
     "page_label": "Chips and hardware"
    },
    {
     "kind": "linked from: made_by",
     "id": "BIZ-CHIP-7057",
     "name": "Literal Labs edge LBN FPGA/MCU deployment suite",
     "page": "chips",
     "href": "../chips/#org=BIZ-CHIP-7057",
     "page_label": "Chips and hardware"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "Newcastle University"
    },
    {
     "kind": "spun_out_of",
     "name": "Newcastle University"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Chips and hardware"
  },
  {
   "id": "BIZ-LAB-024",
   "name": "Orbital Industries (Orbital Materials Ltd)",
   "bucket": "co",
   "status": "renamed",
   "status_date": null,
   "status_detail": "Trades as Orbital Industries (tech.eu, 28 May 2026), when it raised a US$50m Series B led by Plural; the UK company is still registered as ORBITAL MATERIALS LTD (checked 29 October 2026). The date of the change of trading name was not found.",
   "one_line": "London company that uses its own atom-level AI simulation engine, Orb, to design materials and build cooling and other hardware for AI data centres.",
   "description": "ORBITAL MATERIALS LTD was incorporated on 2 September 2022 and lists research and development in natural sciences and engineering as its business. Its directors are James Gin-Pollock and Daniel Miodovnik (from 2 September 2022) and Jonathan Godwin (from 14 October 2022). tech.eu calls Orbital Industries a London-based company developing industrial hardware and infrastructure, names Godwin as co-founder and chief executive, and describes Orb as its simulation engine that models atoms at scale. A commercial division works on cooling and deployment systems for high-density AI computing. It raised a US$50m Series B led by Plural in May 2026. It now sells hardware as well as models; whether it stays on the Labs page is for Alex to decide. [Labs Round 7, 30 Oct 2026] model_line: Orb (open-sourced 2 Sep 2024) → OrbMol (27 Aug 2025) → Orb-v3 (4 Sep 2025, Apache 2.0) → OrbMol-v2 (2 Jun 2026); built on in-house LINUS foundation model; CurieOS deployed by BASF ECMS; site now orbitalindustries.com [Labs Round 9, 31 Oct 2026] Alex's Labs file (line 164, dated 2026-05-28): the file says that with the rename Orbital widened from materials discovery to hardware for data-centre liquid cooling, thermal management and carbon capture (file cites tech.eu and datacentrenews.uk).",
   "uk_status": "uk",
   "company": {
    "ch_number": "14332843",
    "registered_office": "10 John Street, London, United Kingdom, WC1N 2EB",
    "incorporated": "2 September 2022",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "14332843",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/14332843",
    "ch_note": null,
    "ch_name": "ORBITAL MATERIALS LTD",
    "legal_name": "ORBITAL MATERIALS LTD",
    "status_registry": "Active",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "WC1N 2EB"
   },
   "place": {
    "text": "London (WC1N 2EB)",
    "postcode": "WC1N 2EB",
    "lat": 51.522261,
    "lng": -0.115139,
    "region": "England: London",
    "admin_district": "Camden",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Jonathan Godwin",
     "role": "Co-founder and CEO; director from 2022-10-14",
     "from": null,
     "source": "https://tech.eu/2026/05/28/orbital-industries-secures-50m-to-scale-data-centre-infrastructure-systems/"
    },
    {
     "name": "James Gin-Pollock",
     "role": "Co-founder; director from 2022-09-02",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/14332843/officers"
    },
    {
     "name": "Daniel Miodovnik",
     "role": "Co-founder; director from 2022-09-02",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/14332843/officers"
    },
    {
     "name": "Jonathan Godwin",
     "role": "Co-founder and CEO",
     "from": "2022",
     "source": "https://datacentrenews.uk/story/orbital-raises-usd-50-million-to-scale-data-centres",
     "round4": true
    },
    {
     "name": "James Gin-Pollock",
     "role": "Co-founder and CTO",
     "from": "2022",
     "source": "https://datacentrenews.uk/story/orbital-raises-usd-50-million-to-scale-data-centres",
     "round4": true
    },
    {
     "name": "Daniel Miodovnik",
     "role": "Co-founder and COO",
     "from": "2022",
     "source": "https://datacentrenews.uk/story/orbital-raises-usd-50-million-to-scale-data-centres",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 50000000,
     "currency": "USD",
     "date": "2026-05-28",
     "detail": "Series B led by Plural, with NVentures, Radical Ventures, Compound and Fly Ventures",
     "raw": "funding_round: 50000000 USD 2026-05-28 — Series B led by Plural, with NVentures, Radical Ventures, Compound and Fly Ventures",
     "amount_gbp": 37224538,
     "fx_rate": 1.3432,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3432 per £ on 2026-05-28",
     "fx_date": "2026-05-28",
     "fx_note": "",
     "txt": "US$50m",
     "gbp_txt": "£37.2m"
    }
   ],
   "site": null,
   "product": {
    "maker": "Orbital Industries",
    "launched": null,
    "what_it_does": "Orb, \"the company's simulation engine designed to model the quantum mechanical behaviour of atoms at scale\""
   },
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training",
    "AI infrastructure"
   ],
   "sectors": [
    "materials science",
    "data-centre cooling",
    "industrial hardware"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "materials science",
   "function": "London company that uses its own atom-level AI simulation engine, Orb, to design materials and build cooling and other hardware for AI data centres.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/05/28/orbital-industries-secures-50m-to-scale-data-centre-infrastructure-systems/",
    "https://find-and-update.company-information.service.gov.uk/company/14332843",
    "https://find-and-update.company-information.service.gov.uk/company/14332843/officers",
    "https://find-and-update.company-information.service.gov.uk/company/14332843",
    "https://www.orbitalindustries.com/research"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/05/28/orbital-industries-secures-50m-to-scale-data-centre-infrastructure-systems/",
     "quotes": [
      "a London-based company developing industrial hardware and infrastructure",
      "has raised $50 million in a Series B funding round led by Plural.",
      "Jonathan Godwin, co-founder and CEO of Orbital Industries"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14332843",
     "quotes": [
      "ORBITAL MATERIALS LTD\" \"10 John Street, London, United Kingdom, WC1N 2EB\" \"Active\" \"2 September 2022\" \"72190 - Other research and experimental development on natural sciences and engineering"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14332843/officers",
     "quotes": [
      "GODWIN, Jonathan William\" Director \"14 October 2022\"; \"GIN-POLLOCK, James Nigel Sebastian\" Director \"2 September 2022\"; \"MIODOVNIK, Daniel\" Director \"2 September 2022"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14332843",
     "quotes": [
      "ORBITAL MATERIALS LTD",
      "10 John Street, London, United Kingdom, WC1N 2EB",
      "Active",
      "2 September 2022",
      "72190 - Other research and experimental development on natural sciences and engineering"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.orbitalindustries.com/research",
     "quotes": [
      "Introducing OrbMol-v2: A Neural Network That Outperforms the Most-Cited Method in Chemistry."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training",
    "AI infrastructure"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (WC1N 2EB)",
   "status_group": "renamed",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-013",
     "name": "Plural",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-013",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-025",
     "name": "Radical Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-025",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-234",
     "name": "Jonathan Godwin",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-234",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "NVentures (NVIDIA)"
    },
    {
     "kind": "funded_by",
     "name": "Compound"
    },
    {
     "kind": "funded_by",
     "name": "Fly Ventures"
    }
   ],
   "degree": 6,
   "related_ids": [
    "BIZ-LAB-7090",
    "BIZ-LAB-7091",
    "BIZ-LAB-7092",
    "BIZ-LAB-7093",
    "BIZ-LAB-7094",
    "BIZ-LAB-7095"
   ]
  },
  {
   "id": "BIZ-LAB-025",
   "name": "Applied Computing",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-07-16",
   "status_detail": "Raised US$20m in a round led by KBR, reported by tech.eu on 16 July 2026; stage not named.",
   "one_line": "London company building AI foundation models for oil, gas and petrochemical operations, sold through a platform called Orbital.",
   "description": "tech.eu describes Applied Computing as a British company developing foundation models for energy operations, headquartered in London with offices in Bengaluru and Houston. Its platform, Orbital, combines physics-informed AI with other models to help upstream, downstream and petrochemical operators improve efficiency and reliability and cut emissions. Callum Adamson is chief executive and co-founder. In July 2026 it raised US$20m led by KBR, with Databricks Ventures. Companies House shows APPLIED COMPUTING TECHNOLOGIES LTD (formerly KASHMIR INTELLIGENCE LTD), incorporated 14 December 2023 in London, with Callum Adamson as director; the match is by director name and place, not stated on a company page. [Labs Round 7, 30 Oct 2026] models_released: Orbital — described as the first foundation model built for energy operations; combines physics-informed AI with chemical engineering, time-series forecasting and language models [Labs Round 7, 30 Oct 2026] offices: London HQ; Bengaluru office opened (reported 2025-12-12); Houston office planned with 2026 funds [Labs Round 7, 30 Oct 2026] leadership: Callum Adamson — co-founder and chief executive; Dan Jeavons (former Shell AI chief) — President; Sam Tukra — Chief AI Officer; Hari Ramani — VP Commercial Markets [Labs Round 7, 30 Oct 2026] rounds: 2026-07-16 $20m led by KBR with Databricks Ventures [Labs Round 7, 30 Oct 2026] Merged with BIZ-SU-ENR-003 (Applied Computing, START-UPS) as the file asks (Part 1.3 item 12); its facts and sources now sit here. [Labs Round 8, 31 Oct 2026] chief_executive: Callum Adamson — CEO and co-founder [Labs Round 8, 31 Oct 2026] offices: New office in Houston, Texas (announced Jul 2026) [Labs Round 8, 31 Oct 2026] models_released: Orbital, a foundation model for energy operations (BIZ-LAB-10009) [Labs Round 8, 31 Oct 2026] customers_or_partners: KBR multi-year agreement for exclusive AI products in energy; Databricks Ventures joined the $20m round (Jul 2026) [Labs Round 8, 31 Oct 2026] customers_or_partners: KBR (supplies Orbital for physics-informed solutions; \"KBR and Applied Computing launched INSITE 3.0 powered by Orbital\", item dated 24 Mar 2026), Wipro, Capgemini, AWS, Databricks, Kongsberg Digital, NVIDIA, Imperial College [Labs Round 8, 31 Oct 2026] offices: Bangalore office opened (12 Dec 2025, per news item on homepage linking tech.eu; tech.eu page not opened)",
   "uk_status": "uk",
   "company": {
    "ch_number": "15350699",
    "registered_office": "3rd Floor 86-90 Paul Street, London, United Kingdom, EC2A 4NE",
    "incorporated": "14 December 2023",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15350699",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15350699",
    "ch_note": null,
    "ch_name": "APPLIED COMPUTING TECHNOLOGIES LTD",
    "legal_name": "APPLIED COMPUTING TECHNOLOGIES LTD",
    "status_registry": "Active",
    "sic_codes": [
     "58290",
     "62020",
     "62090"
    ],
    "registered_office_postcode": "EC2A 4NE",
    "previous_names": [
     "KASHMIR INTELLIGENCE LTD (2023–2025)"
    ]
   },
   "place": {
    "text": "London (EC2A 4NE)",
    "postcode": "EC2A 4NE",
    "lat": 51.525617,
    "lng": -0.083602,
    "region": "England: London",
    "admin_district": "Hackney",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Callum Adamson",
     "role": "CEO and co-founder; director from 2023-12-14",
     "from": null,
     "source": "https://tech.eu/2026/07/16/applied-computing-lands-20m-to-expand-foundation-ai-for-energy/"
    },
    {
     "name": "Samyakh Tukra",
     "role": "Director",
     "from": "2023-12-14",
     "source": "https://find-and-update.company-information.service.gov.uk/company/15350699/officers"
    },
    {
     "name": "Callum Adamson",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://tech.eu/2026/07/16/applied-computing-lands-20m-to-expand-foundation-ai-for-energy/",
     "round4": true
    },
    {
     "name": "Dan Jeavons",
     "role": "President",
     "from": null,
     "source": "https://tech.eu/2025/12/12/applied-computing-opens-bangalore-office-as-india-becomes-ground-zero-for-industrialai/",
     "round4": true
    },
    {
     "name": "Sam Tukra",
     "role": "Chief AI Officer",
     "from": null,
     "source": "https://tech.eu/2025/12/12/applied-computing-opens-bangalore-office-as-india-becomes-ground-zero-for-industrialai/",
     "round4": true
    },
    {
     "name": "Callum Adamson",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/applied-computing-raises-14-8m-to-scale-ai-for-energy-operators-20260716",
     "round4": true
    },
    {
     "name": "Dan Jeavons",
     "role": "President",
     "from": "2025-07",
     "source": "https://www.techmarketview.com/news/archive/2026/07/23/ukhotviewsextra-applied-computing-physics-grounded-ai-for-the-industrial-world",
     "round4": true
    },
    {
     "name": "Sam Tukra",
     "role": "Chief AI Officer",
     "from": null,
     "source": "https://www.techmarketview.com/news/archive/2026/07/23/ukhotviewsextra-applied-computing-physics-grounded-ai-for-the-industrial-world",
     "round4": true
    },
    {
     "name": "Dr Sam Tukra",
     "role": "Co-founder and chief AI officer",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-platform-for-energy-industry-closes-9m-seed-round-20250530",
     "amendment": true
    },
    {
     "name": "Callum Adamson",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/applied-computing-raises-14-8m-to-scale-ai-for-energy-operators-20260716",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 20000000,
     "currency": "USD",
     "date": "2026-07-16",
     "detail": "led by KBR, with Databricks Ventures; stage not named",
     "raw": "funding_round: 20000000 USD 2026-07-16 — led by KBR, with Databricks Ventures; stage not named",
     "amount_gbp": 14826896,
     "fx_rate": 1.3489,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3489 per £ on 2026-07-16",
     "fx_date": "2026-07-16",
     "fx_note": "",
     "txt": "US$20m",
     "gbp_txt": "£14.8m"
    }
   ],
   "site": null,
   "product": {
    "maker": "Applied Computing",
    "launched": null,
    "what_it_does": "Orbital, a platform built on foundation models for energy operations"
   },
   "dsit_domains": [
    "AI development and training",
    "AI implementation"
   ],
   "sectors": [
    "energy",
    "oil and gas",
    "petrochemicals"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "energy",
   "function": "London company building AI foundation models for oil, gas and petrochemical operations, sold through a platform called Orbital.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/07/16/applied-computing-lands-20m-to-expand-foundation-ai-for-energy/",
    "https://find-and-update.company-information.service.gov.uk/company/15350699",
    "https://find-and-update.company-information.service.gov.uk/company/15350699/officers",
    "https://find-and-update.company-information.service.gov.uk/company/15350699",
    "https://tech.eu/2025/12/12/applied-computing-opens-bangalore-office-as-india-becomes-ground-zero-for-industrialai/",
    "https://www.uktech.news/ai/applied-computing-raises-14-8m-to-scale-ai-for-energy-operators-20260716",
    "https://www.uktech.news/ai/ai-platform-for-energy-industry-closes-9m-seed-round-20250530",
    "https://www.techmarketview.com/news/archive/2026/07/23/ukhotviewsextra-applied-computing-physics-grounded-ai-for-the-industrial-world",
    "https://appliedcomputing.com/more/partnerships",
    "https://appliedcomputing.com/"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/07/16/applied-computing-lands-20m-to-expand-foundation-ai-for-energy/",
     "quotes": [
      "a British artificial intelligence company developing foundation models for energy operations",
      "Headquartered in London, with offices in Bengaluru and Houston",
      "has raised $20 million in a funding round led by KBR"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15350699",
     "quotes": [
      "APPLIED COMPUTING TECHNOLOGIES LTD\" \"3rd Floor 86-90 Paul Street, London, United Kingdom, EC2A 4NE\" \"Active\" \"14 December 2023\" \"KASHMIR INTELLIGENCE LTD"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15350699/officers",
     "quotes": [
      "ADAMSON, Callum\" Director \"14 December 2023\"; \"TUKRA, Samyakh, Dr\" Director \"14 December 2023"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15350699",
     "quotes": [
      "APPLIED COMPUTING TECHNOLOGIES LTD\" \"Active\" \"KASHMIR INTELLIGENCE LTD (14 Dec 2023 - 04 Apr 2025)\" \"58290 - Other software publishing"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/12/12/applied-computing-opens-bangalore-office-as-india-becomes-ground-zero-for-industrialai/",
     "quotes": [
      "Orbital is already deployed in India, delivering impact at unprecedented scale"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/applied-computing-raises-14-8m-to-scale-ai-for-energy-operators-20260716",
     "quotes": [
      "$20m (£14.8m)",
      "the first foundation model built specifically for energy operations"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/ai-platform-for-energy-industry-closes-9m-seed-round-20250530",
     "quotes": [
      "£9m seed round",
      "a foundational AI model for the energy sector"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://www.techmarketview.com/news/archive/2026/07/23/ukhotviewsextra-applied-computing-physics-grounded-ai-for-the-industrial-world",
     "quotes": [
      "(trade) — \"CEO Callum Adamson and new President Dan Jeavons"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://appliedcomputing.com/more/partnerships",
     "quotes": [
      "Our alliance pairs Orbital with Wipro's integrated delivery model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://appliedcomputing.com/",
     "quotes": [
      "today announces the opening of its new office in Bangalore."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "AI implementation"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (EC2A 4NE)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2075",
     "name": "Databricks Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2075",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2075",
     "name": "Databricks Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2075",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2151",
     "name": "KBR",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2151",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2151",
     "name": "KBR",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2151",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "KBR"
    },
    {
     "kind": "funded_by",
     "name": "Databricks Ventures"
    },
    {
     "kind": "funded_by",
     "name": "KBR"
    },
    {
     "kind": "funded_by",
     "name": "Databricks Ventures"
    },
    {
     "kind": "partner_of",
     "name": "KBR"
    },
    {
     "kind": "funded_by",
     "name": "Stride.VC"
    },
    {
     "kind": "funded_by",
     "name": "Repeat.VC"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-14079"
   ]
  },
  {
   "id": "BIZ-LAB-001",
   "name": "Google DeepMind",
   "bucket": "co",
   "status": "merged",
   "status_date": "2023-04-20",
   "status_detail": "On 20 April 2023 DeepMind and the Brain team from Google Research were combined into one unit, Google DeepMind, led by Demis Hassabis; the UK company DeepMind Technologies Limited is active and moved its registered office to 280 Bishopsgate on 1 June 2026.",
   "one_line": "Builds general-purpose AI models and research systems for Google and for science, including the Gemini models and the Genie world-simulation models.",
   "description": "DeepMind started in London in 2010 and was bought by Google before this record's period. In April 2023 it was merged with Google's Brain team to form Google DeepMind, led by co-founder and chief executive Demis Hassabis. It builds general AI systems. In December 2025 it set out a partnership with the UK government that included plans for its first automated laboratory in the UK in 2026, focused on materials science, and closer work with the UK AI Security Institute. On 27 October 2026 it published Genie 4, a world-simulation model. Its UK company filed full accounts for 2025 on 2 October 2026. [Round 6, 30 Oct 2026] award: Phase-one PETs prize white paper winner jointly with OpenMined; both declined prize funds (2022-11) [Labs Round 7, 30 Oct 2026] founded: 2010 (Demis Hassabis) [Labs Round 7, 30 Oct 2026] acquired_by: Google, 2014 [Labs Round 7, 30 Oct 2026] uk_government_partnership: Partnership with UK government announced 10 Dec 2025: UK automated materials lab in 2026; priority access for UK scientists to AlphaEvolve, AlphaGenome, AI co-scientist and WeatherNext; Gemini tailored to England's national curriculum explored; i.AI trialling Extract (planning documents converted in 40 s vs up to 2 h); cyber work with Big Sleep and CodeMender [Labs Round 7, 30 Oct 2026] uk_government_partnership: New memorandum of understanding with UK AI Security Institute, 11 Dec 2025: chain-of-thought monitoring, social and emotional impacts, economic-systems simulation; partnership dates from AISI's start in Nov 2023 [Labs Round 7, 30 Oct 2026] uk_government_partnership: Planning prototype with i.AI (16 Jun 2026): aim to cut application decision times by 50%; trials in Barnet, Camden and Dorset; national availability planned from 2027; Extract trialled in 20+ planning authorities, about 255 hours saved per council a year [Labs Round 7, 30 Oct 2026] key_facts: Almost 190,000 UK researchers have used AlphaFold (as at 10 Dec 2025) [Labs Round 7, 30 Oct 2026] models_released: AlphaEvolve (14 May 2025) — new record BIZ-LAB-3004 [Labs Round 7, 30 Oct 2026] models_released: AlphaGenome (25 Jun 2025; Nature paper Jan 2026): DNA model reading up to 1 million base pairs; beat best external models on 22 of 24 sequence evaluations; API preview for non-commercial research; authors Ziga Avsec, Natasha Latysheva [Labs Round 7, 30 Oct 2026] models_released: WeatherNext 3 (hourly global weather model) — new record BIZ-LAB-3005 [Labs Round 7, 30 Oct 2026] key_facts: DQN mastering Atari 2013; AlphaFold protein-structure contest win end of 2018 (as listed in Hassabis's Dec 2019 post) [Labs Round 7, 30 Oct 2026] headcount: Not found on any page read; Google UK (all units) had 7,422 staff end-2023 and its King's Cross building holds \"up to 7,000 staff\" — these are Google-wide, not DeepMind [Labs Round 7, 30 Oct 2026] models_and_products_ledger: 107 product records in this Round 7 ledger (rows with made_by → Google DeepMind), from AlphaGo Zero (18 Oct 2017) to Gemini 4 Carbon (28 Oct 2026); blog archive runs to 19 index pages [Labs Round 7, 30 Oct 2026] current_model_line_up (models page, read 30 Oct 2026): Gemini 4 Carbon; Gemini 3.8 Flash; Gemini Omni 1.1 Flash; Gemini Audio; Gemini Robotics 2; Gemini Embedding; Nano Banana; Veo; Lyria; Genie 4; Gemma; science models AlphaFold, AlphaGenome, WeatherNext, AlphaEarth, AlphaEvolve [Labs Round 7, 30 Oct 2026] alphafold_usage: AlphaFold used by \"over 3 million researchers from over 190 countries\"; database holds over 200 million predicted structures (figures undated on page, read 30 Oct 2026) [Labs Round 8, 31 Oct 2026] models_released: Added this round: Gemma 2, CodeGemma, RecurrentGemma, PaliGemma, PaliGemma 2, ShieldGemma, ShieldGemma 2, DataGemma, Genie (first), Lyria (first), Lyria 2, Gemini Diffusion, Project Astra, RoboCat, Sparrow, RETRO, Perceiver/Perceiver IO, AlphaProof, AlphaGeometry 2, Gemini 2.0 Flash Thinking, Med-Gemini, Imagen 2, AlphaCode 2, Open X-Embodiment/RT-X, ALOHA Unleashed/DemoStart, Enformer, DGMR nowcasting, V2A, Veo (first), DeepNash, FermiNet, XLand agents, NotebookLM dialogue generation (BIZ-LAB-14001 to 14028, 14084 to 14088) [Labs Round 8, 31 Oct 2026] news: 2026-10 — \"Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection\" — https://deepmind.google/blog/on-device-ai-scam-detection-mddi/ (post not opened; title from blog index) [Labs Round 8, 31 Oct 2026] news: 2026-10 — \"Accelerating the search for antimicrobial peptides with Google Antigravity\" — https://deepmind.google/blog/accelerating-antimicrobial-discovery/ (post not opened; title from blog index) [Gemini gap Round 1, 31 Oct 2026] The 2024 Nobel Prize in Chemistry (announced 9 October 2024) went half to David Baker and half jointly to Demis Hassabis and John Jumper of Google DeepMind (Nobel press release).",
   "uk_status": "uk",
   "company": {
    "ch_number": "07386350",
    "registered_office": "280 Bishopsgate, London, United Kingdom, EC2M 4AG",
    "incorporated": "23 September 2010",
    "legal_form": "ltd",
    "owner_or_acquirer": "Alphabet Inc. (via Google)",
    "headcount": null,
    "ch_number_clean": "07386350",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/07386350",
    "ch_note": null,
    "ch_name": "DEEPMIND TECHNOLOGIES LIMITED",
    "legal_name": "DEEPMIND TECHNOLOGIES LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "EC2M 4AG",
    "previous_names": [
     "FRIARS 2022 LIMITED (2010)"
    ]
   },
   "place": {
    "text": "London (EC2M 4AG)",
    "postcode": "EC2M 4AG",
    "lat": 51.519875,
    "lng": -0.07838,
    "region": "England: London",
    "admin_district": "Tower Hamlets",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Demis Hassabis",
     "role": "Co-founder and CEO, Google DeepMind",
     "from": null,
     "source": "https://deepmind.google/about"
    },
    {
     "name": "Demis Hassabis",
     "role": "Co-Founder and CEO, Google DeepMind",
     "from": "— (signatory 2025-12-11)",
     "source": "https://www.gov.uk/government/publications/memorandum-of-understanding-between-the-uk-and-google-deepmind-on-ai-opportunities-and-security/memorandum-of-understanding-between-the-uk-and-google-deepmind-on-ai-opportunities-and-security",
     "round4": true
    },
    {
     "name": "Ziga Avsec",
     "role": "author, AlphaGenome",
     "from": null,
     "source": "https://deepmind.google/discover/blog/alphagenome-ai-for-better-understanding-the-genome/",
     "round4": true
    },
    {
     "name": "Natasha Latysheva",
     "role": "author, AlphaGenome",
     "from": null,
     "source": "https://deepmind.google/discover/blog/alphagenome-ai-for-better-understanding-the-genome/",
     "round4": true
    },
    {
     "name": "Demis Hassabis",
     "role": "Co-founder and CEO",
     "from": "2023-04-20 (combined unit)",
     "source": "https://deepmind.google/about/",
     "round4": true
    },
    {
     "name": "Koray Kavukcuoglu",
     "role": "Leads Scientific Board (2023)",
     "from": "2023-04-20",
     "source": "https://deepmind.google/blog/announcing-google-deepmind/",
     "round4": true
    },
    {
     "name": "Eli Collins",
     "role": "VP of Product",
     "from": "2023-04-20",
     "source": "https://deepmind.google/blog/announcing-google-deepmind/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": {
    "maker": "Google DeepMind",
    "launched": "2026-10-27",
    "what_it_does": "Genie 4, a model that generates interactive simulated worlds (the company calls it \"an early, evolving area of research\")"
   },
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation",
    "Autonomous and agent systems"
   ],
   "sectors": [
    "general-purpose AI models",
    "science",
    "world models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-google-deepmind",
   "type": "Companies",
   "category": "general-purpose AI models",
   "function": "Builds general-purpose AI models and research systems for Google and for science, including the Gemini models and the Genie world-simulation models.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/announcing-google-deepmind/",
    "https://deepmind.google/about",
    "https://find-and-update.company-information.service.gov.uk/company/07386350",
    "https://find-and-update.company-information.service.gov.uk/company/07386350/filing-history",
    "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/",
    "https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/",
    "https://www.gov.uk/government/news/winners-announced-in-first-phase-of-uk-us-privacy-enhancing-technologies-prize-challenges",
    "https://deepmind.google/blog/from-unlikely-start-up-to-major-scientific-organisation-entering-our-tenth-year-at-deepmind/",
    "https://www.uktech.news/tech-hubs/google-hires-400-more-uk-staff-as-it-prepares-move-to-huge-kings-cross-office-20241009",
    "https://deepmind.google/blog/deepening-our-partnership-with-the-uk-ai-security-institute/",
    "https://deepmind.google/blog/unlocking-uk-house-building-with-ai-accelerated-planning/",
    "https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/",
    "https://deepmind.google/discover/blog/alphagenome-ai-for-better-understanding-the-genome/",
    "https://deepmind.google/science/weathernext/",
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/",
    "https://deepmind.google/science/alphafold/",
    "https://deepmind.google/about/",
    "https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/",
    "https://deepmind.google/",
    "https://deepmind.google/careers/",
    "https://deepmind.google/discover/blog/",
    "https://www.nobelprize.org/prizes/chemistry/2024/press-release/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/announcing-google-deepmind/",
     "quotes": [
      "DeepMind and the Brain team from Google Research will be joining forces as a single, focused unit called Google DeepMind."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/about",
     "quotes": [
      "DeepMind started in 2010, with an interdisciplinary approach to building general AI systems."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/07386350",
     "quotes": [
      "DEEPMIND TECHNOLOGIES LIMITED\" \"280 Bishopsgate, London, United Kingdom, EC2M 4AG\" \"Active\" \"Incorporated on\" \"23 September 2010"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/07386350/filing-history",
     "quotes": [
      "Registered office address changed from 5 New Street Square London EC4A 3TW to 280 Bishopsgate London EC2M 4AG on 1 June 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/",
     "quotes": [
      "we will establish Google DeepMind's first automated laboratory in the UK in 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/",
     "quotes": [
      "Genie 4 remains an early, evolving area of research.\" (dated October 27, 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/winners-announced-in-first-phase-of-uk-us-privacy-enhancing-technologies-prize-challenges",
     "quotes": [
      "DeepMind and OpenMined have chosen not to accept any prize funds for this challenge."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/from-unlikely-start-up-to-major-scientific-organisation-entering-our-tenth-year-at-deepmind/",
     "quotes": [
      "I founded DeepMind back in 2010"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/tech-hubs/google-hires-400-more-uk-staff-as-it-prepares-move-to-huge-kings-cross-office-20241009",
     "quotes": [
      "stemming in part from its acquisition of London AI business DeepMind in 2014."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/deepening-our-partnership-with-the-uk-ai-security-institute/",
     "quotes": [
      "a new Memorandum of Understanding focused on foundational security and safety research"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/unlocking-uk-house-building-with-ai-accelerated-planning/",
     "quotes": [
      "Crucially, the planning officer remains in full control as the final decision-maker."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/",
     "quotes": [
      "AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/discover/blog/alphagenome-ai-for-better-understanding-the-genome/",
     "quotes": [
      "predicts how single variants or mutations in human DNA sequences impact a wide range of biological processes"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/science/weathernext/",
     "quotes": [
      "WeatherNext 3 is the first global weather model that generates forecasts every hour of the day."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 4 Carbon: Our next frontier model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/",
     "quotes": [
      "Our next era of frontier intelligence"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/science/alphafold/",
     "quotes": [
      "So far, AlphaFold has predicted over 200 million protein structures – nearly all catalogued proteins known to science."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/about/",
     "quotes": [
      "DeepMind started in 2010."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/",
     "quotes": [
      "Today, we are introducing Gemini Robotics 2 - the intelligence layer powering the next generation of truly adaptable robots."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/",
     "quotes": [
      "Gemini 4 Carbon: Our next frontier model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/careers/",
     "quotes": [
      "Careers at Google DeepMind"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/discover/blog/",
     "quotes": [
      "Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nobelprize.org/prizes/chemistry/2024/press-release/",
     "quotes": [
      "The Nobel Prize in Chemistry 2024 ... one half to David Baker ... the other half jointly to Demis Hassabis and John M. Jumper"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation",
    "Autonomous and agent systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (EC2M 4AG)",
   "status_group": "merged",
   "ext_links": [
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-BIG-011",
     "name": "Google (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-011",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-SVC-001",
     "name": "Faculty (services view; acquired by Accenture)",
     "page": "services",
     "href": "../services/#org=BIZ-SVC-001",
     "page_label": "Services and skills"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-SVC-030",
     "name": "i.AI Augmented Planning Decisions contract (Google DeepMind, Google Cloud, Faculty)",
     "page": "services",
     "href": "../services/#org=BIZ-SVC-030",
     "page_label": "Services and skills"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-SU-HLT-053",
     "name": "Phare Health",
     "page": "startups",
     "href": "../startups/#org=BIZ-SU-HLT-053",
     "page_label": "Start-ups"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-202",
     "name": "John Jumper",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-202",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-203",
     "name": "Shane Legg",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-203",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-204",
     "name": "Zoubin Ghahramani",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-204",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-205",
     "name": "Shakir Mohamed",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-205",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-206",
     "name": "Pushmeet Kohli",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-206",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-207",
     "name": "Oriol Vinyals",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-207",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-208",
     "name": "Raia Hadsell",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-208",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-213",
     "name": "Neel Nanda",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-213",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-223",
     "name": "Koray Kavukcuoglu",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-223",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-225",
     "name": "Murray Shanahan",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-225",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-226",
     "name": "Yee Whye Teh",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-226",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-227",
     "name": "Petar Veličković",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-227",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-228",
     "name": "Greg Wayne",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-228",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-229",
     "name": "Iason Gabriel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-229",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-230",
     "name": "Irina Jurenka",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-230",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-232",
     "name": "Sander Dieleman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-232",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-001",
     "name": "Demis Hassabis",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-001",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-001",
     "name": "Demis Hassabis",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-001",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-017",
     "name": "Simon Kohl",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-017",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-020",
     "name": "Sarah Cross",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-020",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-024",
     "name": "David Silver",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-024",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-026",
     "name": "Tim Rocktäschel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-026",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-027",
     "name": "Tantum Collins",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-027",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-028",
     "name": "Edward Hughes",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-028",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-029",
     "name": "Louis Kirsch",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-029",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-031",
     "name": "Thore Graepel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-031",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-035",
     "name": "Alhussein Fawzi",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-035",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-036",
     "name": "Bernardino Romera-Paredes",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-036",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-047",
     "name": "Toby Shevlane",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-047",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-049",
     "name": "Mustafa Suleyman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-049",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-050",
     "name": "Jordan Hoffmann",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-050",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-116",
     "name": "Jon Steinback",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-116",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-155",
     "name": "Jack Kelly",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-155",
     "page_label": "Talent"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-CO-008",
     "name": "AI Biosecurity Lab (AIBL) and National AI Biosecurity Initiative",
     "page": "government",
     "href": "../../government/cabinet-office/#org=GOV-CO-008",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "supplies_government",
     "id": null,
     "name": "Cabinet Office (Government page)",
     "page": "government",
     "href": "../../government/cabinet-office/",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-MHCLG-004",
     "name": "PlanAssist (formerly Augmented Planning Decisions; planning AI tool)",
     "page": "government",
     "href": "../../government/mhclg/#org=GOV-MHCLG-004",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-MHCLG-035",
     "name": "Partnership with Google DeepMind, Google Cloud and Faculty on Augmented Planning Decisions",
     "page": "government",
     "href": "../../government/mhclg/#org=GOV-MHCLG-035",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-BIG-2009",
     "name": "Google DeepMind–UK government memorandum of understanding",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-2009",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-SAFE-2085",
     "name": "AISI and Google DeepMind research partnership",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2085",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2035",
     "name": "Lila Ibrahim",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2035",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-2047",
     "name": "Geoffrey Irving",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2047",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-2053",
     "name": "Beverley Mallon",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2053",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-2149",
     "name": "Verity Harding",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2149",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-2175",
     "name": "Michael Schaarschmidt",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2175",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "part_of",
     "name": "Alphabet Inc."
    },
    {
     "kind": "merged_into",
     "name": "Google DeepMind (DeepMind with Google Brain, 2023)"
    },
    {
     "kind": "partner_of",
     "name": "UK AI Security Institute"
    },
    {
     "kind": "supplies_government",
     "name": "Government: UK government (partnership announced 10 December 2025)"
    }
   ],
   "degree": 155,
   "related_ids": [
    "BIZ-LAB-009",
    "BIZ-LAB-012",
    "BIZ-LAB-013",
    "BIZ-LAB-014",
    "BIZ-LAB-015",
    "BIZ-LAB-016",
    "BIZ-LAB-020",
    "BIZ-LAB-023",
    "BIZ-LAB-13007",
    "BIZ-LAB-14001",
    "BIZ-LAB-14002",
    "BIZ-LAB-14003",
    "BIZ-LAB-14004",
    "BIZ-LAB-14005",
    "BIZ-LAB-14006",
    "BIZ-LAB-14007",
    "BIZ-LAB-14008",
    "BIZ-LAB-14009",
    "BIZ-LAB-14010",
    "BIZ-LAB-14011",
    "BIZ-LAB-14012",
    "BIZ-LAB-14013",
    "BIZ-LAB-14014",
    "BIZ-LAB-14015",
    "BIZ-LAB-14016",
    "BIZ-LAB-14017",
    "BIZ-LAB-14018",
    "BIZ-LAB-14019",
    "BIZ-LAB-14020",
    "BIZ-LAB-14021",
    "BIZ-LAB-14022",
    "BIZ-LAB-14023",
    "BIZ-LAB-14024",
    "BIZ-LAB-14025",
    "BIZ-LAB-14026",
    "BIZ-LAB-14027",
    "BIZ-LAB-14028",
    "BIZ-LAB-14084",
    "BIZ-LAB-14085",
    "BIZ-LAB-14086",
    "BIZ-LAB-14087",
    "BIZ-LAB-14088",
    "BIZ-LAB-2002",
    "BIZ-LAB-2005",
    "BIZ-LAB-2012",
    "BIZ-LAB-3004",
    "BIZ-LAB-3005",
    "BIZ-LAB-3012",
    "BIZ-LAB-6009",
    "BIZ-LAB-6010",
    "BIZ-LAB-7001",
    "BIZ-LAB-7002",
    "BIZ-LAB-7003",
    "BIZ-LAB-7004",
    "BIZ-LAB-7005",
    "BIZ-LAB-7006",
    "BIZ-LAB-7008",
    "BIZ-LAB-7009",
    "BIZ-LAB-7010",
    "BIZ-LAB-7011",
    "BIZ-LAB-7012",
    "BIZ-LAB-7013",
    "BIZ-LAB-7014",
    "BIZ-LAB-7015",
    "BIZ-LAB-7016",
    "BIZ-LAB-7017",
    "BIZ-LAB-7018",
    "BIZ-LAB-7019",
    "BIZ-LAB-7072",
    "BIZ-LAB-7099",
    "BIZ-LAB-7100",
    "BIZ-LAB-7101",
    "BIZ-LAB-7102",
    "BIZ-LAB-7103",
    "BIZ-LAB-7104",
    "BIZ-LAB-7105",
    "BIZ-LAB-7106",
    "BIZ-LAB-7107",
    "BIZ-LAB-7108",
    "BIZ-LAB-7109",
    "BIZ-LAB-7110",
    "BIZ-LAB-7111",
    "BIZ-LAB-7112",
    "BIZ-LAB-7113",
    "BIZ-LAB-7114",
    "BIZ-LAB-7115",
    "BIZ-LAB-7116",
    "BIZ-LAB-7117",
    "BIZ-LAB-7118",
    "BIZ-LAB-7119",
    "BIZ-LAB-7120",
    "BIZ-LAB-7121",
    "BIZ-LAB-7122",
    "BIZ-LAB-7123",
    "BIZ-LAB-7124",
    "BIZ-LAB-7125",
    "BIZ-LAB-7126",
    "BIZ-LAB-7127",
    "BIZ-LAB-7128",
    "BIZ-LAB-7129",
    "BIZ-LAB-7130",
    "BIZ-LAB-7131",
    "BIZ-LAB-7132",
    "BIZ-LAB-7133",
    "BIZ-LAB-7134",
    "BIZ-LAB-7135",
    "BIZ-LAB-7136",
    "BIZ-LAB-7137",
    "BIZ-LAB-7138",
    "BIZ-LAB-7139",
    "BIZ-LAB-7140",
    "BIZ-LAB-7141",
    "BIZ-LAB-7142",
    "BIZ-LAB-7143",
    "BIZ-LAB-7144",
    "BIZ-LAB-7145",
    "BIZ-LAB-7146",
    "BIZ-LAB-7147",
    "BIZ-LAB-7148",
    "BIZ-LAB-7149",
    "BIZ-LAB-7150",
    "BIZ-LAB-7151",
    "BIZ-LAB-7152",
    "BIZ-LAB-7153",
    "BIZ-LAB-7154",
    "BIZ-LAB-7155",
    "BIZ-LAB-7156",
    "BIZ-LAB-7157",
    "BIZ-LAB-7158",
    "BIZ-LAB-7159",
    "BIZ-LAB-7160",
    "BIZ-LAB-7161",
    "BIZ-LAB-7162",
    "BIZ-LAB-7163",
    "BIZ-LAB-7164",
    "BIZ-LAB-7165",
    "BIZ-LAB-7166",
    "BIZ-LAB-7167",
    "BIZ-LAB-7168",
    "BIZ-LAB-7169",
    "BIZ-LAB-7170",
    "BIZ-LAB-7171",
    "BIZ-LAB-7172",
    "BIZ-LAB-7173",
    "BIZ-LAB-7174",
    "BIZ-LAB-7175",
    "BIZ-LAB-7177",
    "BIZ-LAB-7178",
    "BIZ-LAB-7179",
    "BIZ-LAB-7180",
    "BIZ-LAB-7181",
    "BIZ-LAB-7182",
    "BIZ-LAB-7183",
    "BIZ-LAB-7184",
    "BIZ-LAB-7185"
   ]
  },
  {
   "id": "BIZ-LAB-002",
   "name": "Isomorphic Labs",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Announced a US$2.1bn Series B led by Thrive Capital on 12 May 2026, with Alphabet and GV as existing backers and the UK Sovereign AI Fund among new investors. Companies House shows ISOMORPHIC LABS LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Builds AI models that design medicines, which it uses in its own drug programmes and in work with drug companies.",
   "description": "Isomorphic Labs was set up in 2021 and is led by Sir Demis Hassabis as founder and chief executive. It builds an AI drug design engine it calls IsoDDE. Its first outside funding, US$600m led by Thrive Capital, was announced on 31 March 2025, with Alphabet adding follow-on capital. On 12 May 2026 it announced a US$2.1bn Series B, again led by Thrive Capital. It states it is headquartered in London, with offices in Cambridge, Massachusetts and Lausanne. Its UK company shares a registered office with DeepMind Technologies at 280 Bishopsgate. [Round 4, 30 Oct 2026] ch_number: 13223825 (ISOMORPHIC LABS LIMITED, active, incorporated 24 Feb 2021, SIC 70100) [Round 4, 30 Oct 2026] postcode: EC2M 4AG (registered office, 280 Bishopsgate) [Round 4, 30 Oct 2026] latest round: Series B $2.1bn (£1.6bn), 13 May 2026; led by Thrive Capital; Alphabet, GV, MGX, Temasek, CapitalG, UK Sovereign AI Fund [Round 4, 30 Oct 2026] product: IsoDDE, its AI drug design engine [Round 4, 30 Oct 2026] people: Max Jaderberg, president; Demis Hassabis, CEO and founder [Round 4, 30 Oct 2026] earlier round: $600m first external round in 2025 (tech.eu gives March 2025 in one article and May 2025 in another — check) [Labs Round 7, 30 Oct 2026] models_released: Isomorphic Labs Drug Design Engine (IsoDDE), technical report published 2026-02-10; company says it more than doubles AlphaFold 3 accuracy on the hardest protein–ligand cases [Labs Round 7, 30 Oct 2026] pharma_partners: Novartis (first announced January 2024, expanded February 2025 by up to three more programmes); Eli Lilly (date not given on page); Johnson & Johnson (2026-01-20, multi-target, cross-modality). No deal values disclosed on the company page. [Labs Round 7, 30 Oct 2026] rounds: Series B $2.1bn announced 2026-05-12, led by Thrive Capital; existing Alphabet and GV; new MGX, Temasek, CapitalG and the UK Sovereign AI Fund [Labs Round 7, 30 Oct 2026] valuation_reported: not reported in the Series B coverage opened (tech.eu: valuation not given) [Labs Round 7, 30 Oct 2026] sovereign_ai_backing: UK Sovereign AI took equity in the 2026-05-12 round (amount not disclosed); GOV.UK says this made Isomorphic the third start-up with Sovereign AI equity [Labs Round 7, 30 Oct 2026] leadership_change: Max Jaderberg (previously Chief AI Officer) appointed President from 2026-01-01, succeeding Colin Murdoch, who stepped down as President (announced 2025-11-26) [Labs Round 7, 30 Oct 2026] offices: Lausanne (Switzerland) office described on company careers page, in addition to London HQ [Labs Round 7, 30 Oct 2026] consortia: Founding member of the Virtual Biology Initiative convened by Biohub (2026-10-07) [Labs Round 7, 30 Oct 2026] named_in_policy: Named in the GOV.UK AI for Science Strategy (2025-11-20) as launched from DeepMind in 2021 [Labs Round 7, 30 Oct 2026] chief_medical_officer: Ben Wolf — Chief Medical Officer (company interview \"In Conversation With Dr. Ben Wolf, Isomorphic Labs' New Chief Medical Officer\"; date not shown on listing) [Labs Round 7, 30 Oct 2026] flagship_system: Isomorphic Labs Drug Design Engine (IsoDDE), previewed 10 Feb 2026 with technical report; internal pipeline in oncology and immunology (BIZ-LAB-7076) [Labs Round 8, 31 Oct 2026] research_leads: Max Jaderberg — President from 2026-01-01 (previously Chief AI Officer); Colin Murdoch stepped down as President [Labs Round 8, 31 Oct 2026] research_leads: Ben Wolf — Chief Medical Officer (by 2025-06-17), previously CMO at Relay Therapeutics [Labs Round 8, 31 Oct 2026] status_now: Preclinical; preparing for clinical development (2026-09-29) [Labs Round 8, 31 Oct 2026] founded: 2021 [Labs Round 8, 31 Oct 2026] news: 2026-09-29 — \"Building a new path to make medicines with AI\" (IsoDDE agent optimisation run took 2–4 days) — https://www.isomorphiclabs.com/articles/building-a-new-path-to-make-medicines-with-ai [Labs Round 8, 31 Oct 2026] news: 2026-07-16 — \"Our approach to bioresilience\" (joint with Google DeepMind) — https://www.isomorphiclabs.com/articles/our-approach-to-bioresilience [Labs Round 8, 31 Oct 2026] news: 2026-05-13 — Series B investors named by UKTN: Thrive Capital (lead), Alphabet, GV, MGX, Temasek, CapitalG and the UK sovereign AI fund; to fund IsoDDE and pipeline; valuation not reported — https://www.uktech.news/medtech/isomorphic-labs-raises-1-6bn-to-scale-ai-drug-design-engine-20260513 [Labs Round 8, 31 Oct 2026] what_it_does: Uses in-house \"proprietary predictive and generative models\" covering binding affinity, solubility, permeability and metabolic properties, used daily across the company (30 Jul 2024); AlphaFold 3 \"developed jointly by Isomorphic Labs and Google DeepMind\"; no further in-house model is named publicly beyond IsoDDE and Dataverse [Labs Round 8, 31 Oct 2026] research_leads: Max Jaderberg, President (quoted on technology page)",
   "uk_status": "uk",
   "company": {
    "ch_number": "13223825",
    "registered_office": "280 Bishopsgate, London, United Kingdom, EC2M 4AG",
    "incorporated": "24 February 2021",
    "legal_form": "ltd",
    "owner_or_acquirer": "null (Alphabet is an investor)",
    "headcount": null,
    "ch_number_clean": "13223825",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13223825",
    "ch_note": null,
    "ch_name": "ISOMORPHIC LABS LIMITED",
    "legal_name": "ISOMORPHIC LABS LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "70100"
    ],
    "registered_office_postcode": "EC2M 4AG"
   },
   "place": {
    "text": "London (EC2M 4AG)",
    "postcode": "EC2M 4AG",
    "lat": 51.519875,
    "lng": -0.07838,
    "region": "England: London",
    "admin_district": "Tower Hamlets",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Sir Demis Hassabis",
     "role": "Founder and CEO",
     "from": null,
     "source": "https://www.isomorphiclabs.com/press/isomorphic-labs-funding"
    },
    {
     "name": "Max Jaderberg",
     "role": "president",
     "from": null,
     "source": "https://www.uktech.news/medtech/isomorphic-labs-raises-1-6bn-to-scale-ai-drug-design-engine-20260513",
     "round4": true
    },
    {
     "name": "Max Jaderberg",
     "role": "President (from Chief AI Officer), succeeding Colin Murdoch, who stepped down",
     "from": "2026-01-01 (announced 2025-11-26)",
     "source": "https://www.isomorphiclabs.com/articles/isomorphic-labs-to-appoint-max-jaderberg-as-president",
     "round4": true
    },
    {
     "name": "Michael Schaarschmidt",
     "role": "Director of Machine Learning (from Senior Research Scientist, Google DeepMind)",
     "from": "date not published (profile 2025-04-10)",
     "source": "https://www.isomorphiclabs.com/articles/meet-our-team-agnieszka-michael",
     "round4": true
    },
    {
     "name": "Sergei Yakneen",
     "role": "Chief Technology Officer (from SVP and CTO, SOPHiA GENETICS)",
     "from": "2022-05-01 (announced)",
     "source": "https://www.isomorphiclabs.com/articles/isomorphic-labs-announces-first-phase-of-management-team",
     "round4": true
    },
    {
     "name": "Miles Congreve",
     "role": "Chief Scientific Officer (from same role at Sosei Heptares)",
     "from": "2022-05-01 (announced)",
     "source": "https://www.isomorphiclabs.com/articles/isomorphic-labs-announces-first-phase-of-management-team",
     "round4": true
    },
    {
     "name": "Sarah Korman",
     "role": "Chief Business and Legal Officer (from Chief Legal Officer, Absci)",
     "from": "date not published",
     "source": "https://www.isomorphiclabs.com/people/sarah-korman",
     "round4": true
    },
    {
     "name": "Ben Wolf",
     "role": "Chief Medical Officer (from CMO roles at Relay Therapeutics and KSQ Therapeutics)",
     "from": "date not published",
     "source": "https://www.isomorphiclabs.com/people/dr-ben-wolf",
     "round4": true
    },
    {
     "name": "Beverley Mallon",
     "role": "Chief People & Experience Officer (from Google DeepMind's first People Director, then Isomorphic interim COO)",
     "from": "date not published",
     "source": "https://www.isomorphiclabs.com/people/beverley-mallon",
     "round4": true
    },
    {
     "name": "Max Jaderberg (BIZ-TAL-002)",
     "role": "President (previously Chief AI Officer)",
     "from": "2026-01-01",
     "source": "https://www.isomorphiclabs.com/articles/isomorphic-labs-to-appoint-max-jaderberg-as-president",
     "round4": true
    },
    {
     "name": "Colin Murdoch (BIZ-TAL-2173)",
     "role": "President (stepped down; successor from 2026-01-01)",
     "from": "to 2025-12-31",
     "source": "https://www.isomorphiclabs.com/articles/isomorphic-labs-to-appoint-max-jaderberg-as-president",
     "round4": true
    },
    {
     "name": "Ben Wolf (BIZ-TAL-2054)",
     "role": "Chief Medical Officer",
     "from": "— (date not shown)",
     "source": "https://www.isomorphiclabs.com/news",
     "round4": true
    },
    {
     "name": "Sir Demis Hassabis",
     "role": "Founder and CEO",
     "from": "null",
     "source": "https://www.isomorphiclabs.com/our-team",
     "round4": true
    },
    {
     "name": "Max Jaderberg",
     "role": "President",
     "from": "2026-01",
     "source": "https://www.isomorphiclabs.com/articles/in-conversation-with-max-jaderberg-isomorphic-labs-incoming-president",
     "round4": true
    },
    {
     "name": "Miles Congreve",
     "role": "Chief Scientific Officer",
     "from": "null",
     "source": "https://www.isomorphiclabs.com/our-team",
     "round4": true
    },
    {
     "name": "Sarah Skerratt",
     "role": "Chief Research Officer",
     "from": "null",
     "source": "https://www.isomorphiclabs.com/our-team",
     "round4": true
    },
    {
     "name": "Sarah Korman",
     "role": "Chief Business and Legal Officer",
     "from": "null",
     "source": "https://www.isomorphiclabs.com/our-team",
     "round4": true
    },
    {
     "name": "Ben Wolf",
     "role": "Chief Medical Officer",
     "from": "null",
     "source": "https://www.isomorphiclabs.com/our-team",
     "round4": true
    },
    {
     "name": "Max Jaderberg",
     "role": "President (previously Chief AI Officer)",
     "from": "2026-01-01",
     "source": "https://www.isomorphiclabs.com/articles/isomorphic-labs-to-appoint-max-jaderberg-as-president",
     "round4": true
    },
    {
     "name": "Colin Murdoch",
     "role": "President (stepped down; announced 2025-11-26)",
     "from": null,
     "source": "https://www.isomorphiclabs.com/articles/isomorphic-labs-to-appoint-max-jaderberg-as-president",
     "round4": true
    },
    {
     "name": "Ben Wolf",
     "role": "Chief Medical Officer",
     "from": "by 2025-06-17",
     "source": "https://www.isomorphiclabs.com/articles/in-conversation-with-dr-ben-wolf-isomorphic-labs-new-chief-medical-officer",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 2100000000,
     "currency": "USD",
     "date": "2026-05-12",
     "detail": "Series B led by Thrive Capital; Alphabet, GV, MGX, Temasek, CapitalG, UK Sovereign AI Fund",
     "raw": "funding_round: 2100000000 USD 2026-05-12 — Series B led by Thrive Capital; Alphabet, GV, MGX, Temasek, CapitalG, UK Sovereign AI Fund",
     "amount_gbp": 1552680222,
     "fx_rate": 1.3525,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3525 per £ on 2026-05-12",
     "fx_date": "2026-05-12",
     "fx_note": "",
     "txt": "US$2.10bn",
     "gbp_txt": "£1.55bn"
    },
    {
     "kind": "funding_round",
     "amount": 600000000,
     "currency": "USD",
     "date": "2025-03-31",
     "detail": "first external round led by Thrive Capital, with GV and Alphabet",
     "raw": "funding_round: 600000000 USD 2025-03-31 — first external round led by Thrive Capital, with GV and Alphabet",
     "amount_gbp": 464756003,
     "fx_rate": 1.291,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.291 per £ on 2025-03-31",
     "fx_date": "2025-03-31",
     "fx_note": "",
     "txt": "US$600m",
     "gbp_txt": "£464.8m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "drug discovery",
    "scientific foundation models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "drug discovery",
   "function": "Builds AI models that design medicines, which it uses in its own drug programmes and in work with drug companies.",
   "affiliation": "Labs",
   "sources": [
    "https://www.isomorphiclabs.com/press/isomorphic-labs-funding",
    "https://www.isomorphiclabs.com/articles/isomorphic-labs-announces-600m-external-investment-round",
    "https://find-and-update.company-information.service.gov.uk/company/13223825",
    "https://tech.eu/2026/05/13/isomorphic-labs-lands-2-1bn-investment/",
    "https://www.uktech.news/funding/uk-tech-funding-roundup-this-weeks-deals-from-isomorphic-labs-to-h2chp-20260515",
    "https://tech.eu/2025/09/11/europes-10-biggest-healthtech-deals-in-h1-2025/",
    "https://www.isomorphiclabs.com/articles/the-isomorphic-labs-drug-design-engine-unlocks-a-new-frontier",
    "https://www.isomorphiclabs.com/partnerships",
    "https://www.isomorphiclabs.com/articles/isomorphic-labs-announces-series-b-investment-round",
    "https://www.gov.uk/government/news/governments-sovereign-ai-invests-in-british-founded-ai-company-redefining-how-medicines-are-designed",
    "https://www.isomorphiclabs.com/articles/isomorphic-labs-to-appoint-max-jaderberg-as-president",
    "https://www.isomorphiclabs.com/news",
    "https://www.isomorphiclabs.com/articles/isomorphic-labs-joins-the-virtual-biology-initiative",
    "https://www.gov.uk/government/publications/ai-for-science-strategy/ai-for-science-strategy",
    "https://www.isomorphiclabs.com/our-team",
    "https://www.isomorphiclabs.com/articles/in-conversation-with-max-jaderberg-isomorphic-labs-incoming-president",
    "https://www.isomorphiclabs.com/articles/isomorphic-labs-kicks-off-2024-with-two-pharmaceutical-collaborations",
    "https://isomorphiclabs.com/?amp=&amp=",
    "https://www.isomorphiclabs.com/articles/in-conversation-with-dr-ben-wolf-isomorphic-labs-new-chief-medical-officer",
    "https://www.isomorphiclabs.com/articles/building-a-new-path-to-make-medicines-with-ai",
    "https://www.isomorphiclabs.com/articles/our-approach-to-bioresilience",
    "https://www.uktech.news/medtech/isomorphic-labs-raises-1-6bn-to-scale-ai-drug-design-engine-20260513",
    "https://www.isomorphiclabs.com/articles/using-bespoke-ai-models-to-power-drug-design",
    "https://www.isomorphiclabs.com/our-tech"
   ],
   "source_quotes": [
    {
     "url": "https://www.isomorphiclabs.com/press/isomorphic-labs-funding",
     "quotes": [
      "LONDON, 12 May, 2026\" \"$2.1 Billion in Series B funding\" \"led by Thrive Capital\" \"headquartered in London"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/isomorphic-labs-announces-600m-external-investment-round",
     "quotes": [
      "$600 Million\" (dated March 31, 2025; first external round led by Thrive Capital)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13223825",
     "quotes": [
      "ISOMORPHIC LABS LIMITED\" \"280 Bishopsgate, London, United Kingdom, EC2M 4AG\" \"Active\" \"24 February 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/05/13/isomorphic-labs-lands-2-1bn-investment/",
     "quotes": [
      "raised $2.1bn in a Series B funding.\" \"led by existing investor Thrive Capital, the US VC."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/funding/uk-tech-funding-roundup-this-weeks-deals-from-isomorphic-labs-to-h2chp-20260515",
     "quotes": [
      "Isomorphic Labs, £1.6bn, HQ London; \"Founded in 2021, Isomorphic Labs uses AI to transform the drug discovery process."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/09/11/europes-10-biggest-healthtech-deals-in-h1-2025/",
     "quotes": [
      "combines advanced AI and drug discovery expertise to model biological complexity digitally"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/the-isomorphic-labs-drug-design-engine-unlocks-a-new-frontier",
     "quotes": [
      "IsoDDE more than doubles the accuracy of AlphaFold 3 on the most difficult systems."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/partnerships",
     "quotes": [
      "multi-target, cross-modality research collaboration"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/isomorphic-labs-announces-series-b-investment-round",
     "quotes": [
      "Isomorphic Labs announces it has raised $2.1 Billion in Series B funding.\" ; https://tech.eu/2026/05/13/isomorphic-labs-lands-2-1bn-investment/ (trade) — \"massive vote of confidence"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/governments-sovereign-ai-invests-in-british-founded-ai-company-redefining-how-medicines-are-designed",
     "quotes": [
      "a company using frontier AI for drug design and development"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/isomorphic-labs-to-appoint-max-jaderberg-as-president",
     "quotes": [
      "Isomorphic Labs announces the appointment of Max Jaderberg as President of the company effective 1 January 2026"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/news",
     "quotes": [
      "Inside Isomorphic Labs' Lausanne office"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/isomorphic-labs-joins-the-virtual-biology-initiative",
     "quotes": [
      "Isomorphic Labs is a founding member of the international, cross-sector effort."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/publications/ai-for-science-strategy/ai-for-science-strategy",
     "quotes": [
      "Isomorphic Labs was launched from DeepMind in 2021"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/our-team",
     "quotes": [
      "Founder and CEO"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/in-conversation-with-max-jaderberg-isomorphic-labs-incoming-president",
     "quotes": [
      "As Max Jaderberg prepares to take on the role of President, starting in January 2026, we sat down with him."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/isomorphic-labs-kicks-off-2024-with-two-pharmaceutical-collaborations",
     "quotes": [
      "have the potential to be worth nearly $3 billion to Isomorphic Labs"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://isomorphiclabs.com/?amp=&amp=",
     "quotes": [
      "building on and beyond the Nobel-winning AlphaFold system"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/in-conversation-with-dr-ben-wolf-isomorphic-labs-new-chief-medical-officer",
     "quotes": [
      "Most recently I was Chief Medical Officer at Relay Therapeutics where I led the company's clinical trials."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/building-a-new-path-to-make-medicines-with-ai",
     "quotes": [
      "Our preclinical data is helping us to gear up for clinical developments."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/our-approach-to-bioresilience",
     "quotes": [
      "Today, Isomorphic Labs and Google DeepMind are sharing our joint approach to bioresilience."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/medtech/isomorphic-labs-raises-1-6bn-to-scale-ai-drug-design-engine-20260513",
     "quotes": [
      "has raised $2.1bn (£1.6bn) in Series B funding."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/using-bespoke-ai-models-to-power-drug-design",
     "quotes": [
      "proprietary predictive and generative models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/our-tech",
     "quotes": [
      "We'll need half a dozen more breakthroughs of that magnitude"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (EC2M 4AG)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-015",
     "name": "Thrive Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-015",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-055",
     "name": "Alphabet and CapitalG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-055",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-056",
     "name": "MGX",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-056",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-015",
     "name": "Thrive Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-015",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "founded_by",
     "id": "BIZ-TAL-001",
     "name": "Demis Hassabis",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-001",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-214",
     "name": "Miles Congreve",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-214",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-215",
     "name": "Sarah Skerratt",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-215",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-001",
     "name": "Demis Hassabis",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-001",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founded_by",
     "id": "BIZ-TAL-001",
     "name": "Demis Hassabis",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-001",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-002",
     "name": "Max Jaderberg",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-002",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2052",
     "name": "Sarah Korman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2052",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2053",
     "name": "Beverley Mallon",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2053",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2054",
     "name": "Ben Wolf",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2054",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2055",
     "name": "Jennifer Doudna",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2055",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2056",
     "name": "David MacMillan",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2056",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2057",
     "name": "Paul Nurse",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2057",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2058",
     "name": "Menelas Pangalos",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2058",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2059",
     "name": "Venki Ramakrishnan",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2059",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-2156",
     "name": "Sergei Yakneen",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2156",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-2173",
     "name": "Colin Murdoch",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2173",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2174",
     "name": "Agnieszka Podsiadło",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2174",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2175",
     "name": "Michael Schaarschmidt",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2175",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-055",
     "name": "Alphabet and CapitalG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-055",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-055",
     "name": "Alphabet and CapitalG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-055",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-056",
     "name": "MGX",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-056",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-056",
     "name": "MGX",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-056",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-015",
     "name": "Thrive Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-015",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-015",
     "name": "Thrive Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-015",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Alphabet Inc."
    },
    {
     "kind": "funded_by",
     "name": "UK Sovereign AI Fund"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-7076",
    "BIZ-LAB-7077"
   ]
  },
  {
   "id": "BIZ-LAB-003",
   "name": "Wayve",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-23",
   "status_detail": "On 23 October 2026 announced work with Stellantis and NVIDIA on autonomous vehicle deployment in France, after a production agreement with Mercedes-Benz (22 September 2026) and supervised autonomous rides with Uber in London (3 September 2026).",
   "one_line": "Builds self-driving software that learns to drive from data and can be fitted to different makes of car.",
   "description": "Wayve was incorporated in London in August 2017 and builds an AI driver trained end to end on driving data, which it sells to car makers. It raised a US$1.05bn Series C led by SoftBank Group in May 2024 and a US$1.2bn Series D at an US$8.6bn post-money valuation on 25 February 2026. In 2026 it signed agreements with Stellantis, Uber and Mercedes-Benz, launched supervised autonomous rides with Uber in London, appointed Elisa de Martel as chief financial officer, and set up a general robotics effort within Wayve Labs. Its head office is at 230–238 York Way, London. [Round 4, 30 Oct 2026] latest round: Series D $1.2bn (£888m) at $8.6bn valuation, 25 Feb 2026; co-led by Eclipse, Balderton, SoftBank Vision Fund 2 [Round 6, 30 Oct 2026] acquisition: Bought Quality Match, a Baden-Württemberg data quality assurance start-up for AI training data; 20 staff join Wayve (2025-12) [Labs Round 7, 30 Oct 2026] models_released: GAIA-1, generative world model for driving, announced 17 Jun 2023 [Labs Round 7, 30 Oct 2026] models_released: GAIA-1 scaled to 9 billion parameters; paper \"GAIA-1: A Generative World Model for Autonomous Driving\", 29 Sep 2023 [Labs Round 7, 30 Oct 2026] models_released: LINGO-1, vision-language-action driving commentator, 14 Sep 2023 [Labs Round 7, 30 Oct 2026] models_released: LINGO-2, closed-loop vision-language-action driving model tested on public roads, 17 Apr 2024 [Labs Round 7, 30 Oct 2026] models_released: GAIA-2, controllable multi-view generative world model, 26 Mar 2025 [Labs Round 7, 30 Oct 2026] models_released: GAIA-4, world model with the Wayve AI Driver in the loop, 3 Aug 2026 (GAIA-3 named as an earlier step, date not given) [Labs Round 7, 30 Oct 2026] key_fact: Zero-shot driving in more than 500 cities across three continents (2025) [Labs Round 7, 30 Oct 2026] valuation_reported: $8.6 billion post-money after Series D, 25 Feb 2026 [Labs Round 7, 30 Oct 2026] round_detail (existing DEAL-LAB-005, $1.2B Series D, 25 Feb 2026): Package of $1.5B = $1.2B Series D plus milestone-based capital from Uber; also Ontario Teachers' Pension Plan, Baillie Gifford, British Business Bank, Icehouse Ventures, Schroders Capital, Microsoft, NVIDIA, Uber; automakers Mercedes-Benz, Nissan and Stellantis invested [Labs Round 7, 30 Oct 2026] chief_executive: Alex Kendall, co-founder and chief executive [Labs Round 7, 30 Oct 2026] uk_offices: Headquarters 230-238 York Way, London N7 9AG; second office Mountain View, California (from Feb 2022) [Labs Round 7, 30 Oct 2026] partnerships: Nissan (next-generation ProPILOT, definitive agreements 10 Dec 2025); Uber and Nissan (Tokyo robotaxi MoU, 12 Mar 2026); Stellantis and Uber (Level 4 robotaxis, 17 Jun 2026); Uber robotaxi deployment from London in 2026 — see Deals [Labs Round 7, 30 Oct 2026] event_note: Hosted the 16 Apr 2026 Sovereign AI announcement; described by government as a \"British self-driving tech firm\" [Labs Round 7, 30 Oct 2026] round_detail (existing DEAL-LAB-004, $1.05B, 7 May 2024): Investors SoftBank, Nvidia and Microsoft; funds for embodied AI technology and first embodied AI products [Labs Round 7, 30 Oct 2026] investors_listed: Investor page lists AMD, Arm, Baillie Gifford, Balderton, British Business Bank, D1 Capital Partners, Eclipse, firstminute, Mercedes, Microsoft, Qualcomm, NVIDIA, Ocado Group, Ontario Teachers', Schroders Capital, SoftBank, Stellantis, Uber, Virgin and others (logos) [Labs Round 7, 30 Oct 2026] model_line: GAIA world models (GAIA-1 9bn parameters, Oct 2023; GAIA-2 Mar 2025; GAIA-3 15bn parameters, Dec 2025); LINGO-1/2 driving-language models; PRISM-1; Wayve AI Driver product levels L1–L4 (BIZ-LAB-7057–7069) [Labs Round 7, 30 Oct 2026] Merged with BIZ-SU-OTH-2020 (Wayve Technologies, START-UPS) as the file asks (Part 1.3 item 12); its facts and sources now sit here. [Labs Round 8, 31 Oct 2026] status_now: Supervised autonomous rides on Uber in London launched 3 Sep 2026 (Ford Mustang Mach-E cars with Wayve AI Driver, TfL-licensed driver on board); TfL granted Private Hire Vehicle licences to its vehicles (5 Aug 2026); production agreement with Mercedes-Benz (22 Sep 2026); Stellantis Level 2++ system targeted for 2028 launch in North America (9 Oct 2026) [Labs Round 8, 31 Oct 2026] users_or_customers: Uber (ride-hailing in London; partnership covers 12 markets), Nissan (LEAF with Wayve AI Driver, Tokyo), Stellantis (Fiat 500e, Maserati Grecale, Jeep Grand Cherokee integrations), Mercedes-Benz, NVIDIA (DRIVE Hyperion); over 140,000 Londoners opted in to Wayve rides (3 Sep 2026) [Labs Round 8, 31 Oct 2026] research_focus: Wayve Labs, its research arm, works on 3D world models, neural scene representations and embodied AI; projects include GAIA (generative world model), LINGO (language for training and explaining driving models) and WayveScenes101; new general robotics intelligence effort led by Alex Toshev (Aug 2026); Principal Scientist Andrea Tagliasacchi based in Vancouver (Jun 2026); Chief Scientist Jamie Shotton [Labs Round 8, 31 Oct 2026] news: 2026-10-23 — Wayve, Stellantis and NVIDIA collaborate on autonomous vehicle deployment across France — https://wayve.ai/press/wayve-stellantis-nvidia-collaborate-on-deployment-across-france/ [Labs Round 8, 31 Oct 2026] news: 2026-10-09 — Stellantis and Wayve demonstrate one AI driver across Fiat 500e and Maserati Grecale; integration to road testing in under four weeks — https://wayve.ai/press/stellantis-wayve-scale-ai-driver/ [Labs Round 8, 31 Oct 2026] news: 2026-09-03 — Wayve and Uber launch first autonomous rides in the UK (London) — https://wayve.ai/press/wayve-uber-launch-autonomous-rides/ [Labs Round 8, 31 Oct 2026] news: 2026-08-18 — Alex Toshev joins Wayve Labs to lead a new general robotics intelligence effort — https://wayve.ai/press/alex-toshev-joins-wayve-labs/ [Labs Round 8, 31 Oct 2026] news: 2026-08-05 — Transport for London grants Private Hire Vehicle licences to Wayve's autonomous vehicles for rides on Uber — https://wayve.ai/press/wayve-uber-phv-license/ [Labs Round 8, 31 Oct 2026] key_facts: Tested on London roads since 2018; technology demonstrated in more than 500 cities worldwide (5 Aug 2026)",
   "uk_status": "uk",
   "company": {
    "ch_number": "10924127",
    "registered_office": "230 York Way, London, England, N7 9AG",
    "incorporated": "21 August 2017",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "10924127",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10924127",
    "ch_note": null,
    "ch_name": "WAYVE TECHNOLOGIES LTD",
    "legal_name": "WAYVE TECHNOLOGIES LTD",
    "status_registry": "Active",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "N7 9AG"
   },
   "place": {
    "text": "230-238 York Way, London (N7 9AG)",
    "postcode": "N7 9AG",
    "lat": 51.543004,
    "lng": -0.125603,
    "region": "England: London",
    "admin_district": "Islington",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Elisa de Martel",
     "role": "Chief Financial Officer",
     "from": "2026-09-16",
     "source": "https://wayve.ai/press/"
    },
    {
     "name": "Alex Kendall",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://www.uktech.news/ai/wayve-valuation-massive-series-d-investment-20260225",
     "round4": true
    },
    {
     "name": "Girish Venkataramani",
     "role": "Vice President of AI Platform (from NVIDIA, Cruise, SambaNova Systems)",
     "from": "2026-02-11",
     "source": "https://wayve.ai/press/wayve-strengthens-engineering-leadership/",
     "round4": true
    },
    {
     "name": "Brandon Basso",
     "role": "VP of AI for Simulation, Data, Evaluation and Validation (from Cruise, General Motors)",
     "from": "2026-02-11",
     "source": "https://wayve.ai/press/wayve-strengthens-engineering-leadership/",
     "round4": true
    },
    {
     "name": "Daniel Kondermann",
     "role": "Director of data (ex-CEO, Quality Match)",
     "from": "2025-12",
     "source": "https://www.uktech.news/ai/wayve-acquires-quality-match-20251201",
     "round4": true
    },
    {
     "name": "Alex Kendall",
     "role": "Co-founder and chief executive",
     "from": null,
     "source": "https://wayve.ai/press/series-d/",
     "round4": true
    },
    {
     "name": "Max Warburton",
     "role": "Chief Financial Officer",
     "from": "2024-11-12",
     "source": "https://wayve.ai/press/category/press-release/page/4/",
     "round4": true
    },
    {
     "name": "Alex Kendall",
     "role": "Co-founder & CEO",
     "from": "null",
     "source": "https://wayve.ai/company/leadership-team/",
     "round4": true
    },
    {
     "name": "Jamie Shotton",
     "role": "Chief Scientist",
     "from": "null",
     "source": "https://wayve.ai/company/leadership-team/",
     "round4": true
    },
    {
     "name": "Erez Dagan",
     "role": "President",
     "from": "null",
     "source": "https://wayve.ai/company/leadership-team/",
     "round4": true
    },
    {
     "name": "Elisa de Martel",
     "role": "Chief Financial Officer",
     "from": "2026-09-16",
     "source": "https://wayve.ai/press/wayve-mercedes-benz-announce-production-agreement/",
     "round4": true
    },
    {
     "name": "Alex Toshev",
     "role": "Leads new General Robotics Intelligence effort, Wayve Labs",
     "from": "2026-08-18",
     "source": "https://wayve.ai/press/category/press-release/",
     "round4": true
    },
    {
     "name": "Andrea Tagliasacchi",
     "role": "Principal Scientist, Wayve Labs",
     "from": "2026-06-01",
     "source": "https://wayve.ai/press/category/press-release/",
     "round4": true
    },
    {
     "name": "Alex Kendall",
     "role": "Co-founder and Chief Executive",
     "from": null,
     "source": "https://wayve.ai/press/wayve-uber-launch-autonomous-rides/",
     "round4": true
    },
    {
     "name": "Jamie Shotton",
     "role": "Chief Scientist",
     "from": null,
     "source": "https://wayve.ai/press/andrea-tagliasacchi-joins-wayve-labs/",
     "round4": true
    },
    {
     "name": "Andrea Tagliasacchi",
     "role": "Principal Scientist, Wayve Labs (Vancouver)",
     "from": "2026-06",
     "source": "https://wayve.ai/press/andrea-tagliasacchi-joins-wayve-labs/",
     "round4": true
    },
    {
     "name": "Alex Toshev",
     "role": "Leads new general robotics intelligence effort, Wayve Labs",
     "from": "2026-08",
     "source": "https://wayve.ai/press/category/press-release/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 1200000000,
     "currency": "USD",
     "date": "2026-02-25",
     "detail": "Series D led by Eclipse, Balderton and SoftBank Vision Fund 2",
     "raw": "funding_round: 1200000000 USD 2026-02-25 — Series D led by Eclipse, Balderton and SoftBank Vision Fund 2",
     "amount_gbp": 886655830,
     "fx_rate": 1.3534,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3534 per £ on 2026-02-25",
     "fx_date": "2026-02-25",
     "fx_note": "",
     "txt": "US$1.20bn",
     "gbp_txt": "£886.7m"
    },
    {
     "kind": "valuation_reported",
     "amount": 8600000000,
     "currency": "USD",
     "date": "2026-02-25",
     "detail": "post-money",
     "raw": "valuation_reported: 8600000000 USD 2026-02-25 — post-money",
     "amount_gbp": 6354366780,
     "fx_rate": 1.3534,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3534 per £ on 2026-02-25",
     "fx_date": "2026-02-25",
     "fx_note": "",
     "txt": "US$8.60bn",
     "gbp_txt": "£6.35bn"
    },
    {
     "kind": "funding_round",
     "amount": 1050000000,
     "currency": "USD",
     "date": "2024-05-07",
     "detail": "Series C led by SoftBank Group, with NVIDIA and Microsoft",
     "raw": "funding_round: 1050000000 USD 2024-05-07 — Series C led by SoftBank Group, with NVIDIA and Microsoft",
     "amount_gbp": 836386809,
     "fx_rate": 1.2554,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2554 per £ on 2024-05-07",
     "fx_date": "2024-05-07",
     "fx_note": "",
     "txt": "US$1.05bn",
     "gbp_txt": "£836.4m"
    },
    {
     "kind": "funding_round",
     "amount": 200000000,
     "currency": "USD",
     "date": "2022-01-18",
     "detail": "Series B led by Eclipse (DEAL-LAB-038",
     "raw": "funding_round: 200000000 USD 2022-01-18 — Series B led by Eclipse (DEAL-LAB-038)",
     "amendment": true,
     "source": "https://wayve.ai/press/wayve-announces-200-million-in-funding-to-accelerate-the-development-of-av2-0-the-next-wave-of-autonomous-vehicles/",
     "amount_gbp": 147253718,
     "fx_rate": 1.3582,
     "fx_date": "2022-01-18",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3582 per £ on 2022-01-18",
     "fx_note": "",
     "txt": "US$200m",
     "gbp_txt": "£147.3m"
    },
    {
     "kind": "funding_round",
     "amount": 60000000,
     "currency": "USD",
     "date": "2026-04-15",
     "detail": "Series D extension from AMD, Arm and Qualcomm Ventures (DEAL-LAB-039",
     "raw": "funding_round: 60000000 USD 2026-04-15 — Series D extension from AMD, Arm and Qualcomm Ventures (DEAL-LAB-039)",
     "amendment": true,
     "source": "https://wayve.ai/press/wayve-announces-200-million-in-funding-to-accelerate-the-development-of-av2-0-the-next-wave-of-autonomous-vehicles/",
     "amount_gbp": 44218439,
     "fx_rate": 1.3569,
     "fx_date": "2026-04-15",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3569 per £ on 2026-04-15",
     "fx_note": "",
     "txt": "US$60m",
     "gbp_txt": "£44.2m"
    }
   ],
   "site": null,
   "product": {
    "maker": "Wayve",
    "launched": null,
    "what_it_does": "Wayve AI Driver, driving software for car makers"
   },
   "dsit_domains": [
    "Autonomous and agent systems",
    "Perceptual systems",
    "AI development and training"
   ],
   "sectors": [
    "autonomous driving",
    "robotics",
    "world models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "money",
     "text": "add: funding_round: 200000000 USD 2022-01-18 — Series B led by Eclipse (DEAL-LAB-038) ; funding_round: 60000000 USD 2026-04-15 — Series D extension from AMD, Arm and Qualcomm Ventures (DEAL-LAB-039)"
    },
    {
     "from": "Part 2.4",
     "field": "status_detail (note)",
     "text": "Wayve's investor page now lists the Series D under the title \"Wayve secures $1.5B to deploy its global autonomy platform\"; the extension page still calls the Series D \"$1.2 billion\". The difference was not explained on pages opened; keep US$1.2bn plus the US$60m extension."
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-wayve",
   "type": "Companies",
   "category": "autonomous driving",
   "function": "Builds self-driving software that learns to drive from data and can be fitted to different makes of car.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/press/series-d/",
    "https://www.uktech.news/ai/wayve-valuation-massive-series-d-investment-20260225",
    "https://wayve.ai/press/series-c/",
    "https://wayve.ai/press/",
    "https://find-and-update.company-information.service.gov.uk/company/10924127",
    "https://wayve.ai/press/wayve-announces-200-million-in-funding-to-accelerate-the-development-of-av2-0-the-next-wave-of-autonomous-vehicles/",
    "https://wayve.ai/press/series-d-extension/",
    "https://wayve.ai/press/category/investor-update/",
    "https://www.uktech.news/ai/wayve-acquires-quality-match-20251201",
    "https://wayve.ai/thinking/introducing-gaia1/",
    "https://wayve.ai/labs/gaia/",
    "https://wayve.ai/press/introducing_lingo1/",
    "https://wayve.ai/thinking/lingo-2-driving-with-language/",
    "https://wayve.ai/thinking/gaia-4/",
    "https://wayve.ai/thinking/the-path-to-autonomy/",
    "https://wayve.ai/careers/",
    "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
    "https://www.uktech.news/ai/ai-driving-startup-wayve-1bn-softbank-20240507",
    "https://wayve.ai/company/investors/",
    "https://wayve.ai/thinking/gaia-3/",
    "https://www.gov.uk/government/news/make-it-british-supporting-sovereign-uk-supply-chain-for-connected-and-automated-mobility",
    "https://assets.publishing.service.gov.uk/media/5b8d327840f0b67daf8069fd/ccav-research-and-development-projects.pdf",
    "https://wayve.ai/thinking/wayve-announces-employee-tender-offer/",
    "https://wayve.ai/company/leadership-team/",
    "https://wayve.ai/press/wayve-mercedes-benz-announce-production-agreement/",
    "https://wayve.ai/press/category/press-release/",
    "https://wayve.ai/press/wayve-uber-launch-autonomous-rides/",
    "https://wayve.ai/press/andrea-tagliasacchi-joins-wayve-labs/",
    "https://wayve.ai/press/stellantis-wayve-scale-ai-driver/",
    "https://wayve.ai/press/wayve-uber-phv-license/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/press/series-d/",
     "quotes": [
      "today announced it has raised $1.2 billion in a Series D investment round, bringing its post-money valuation to $8.6 billion"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/wayve-valuation-massive-series-d-investment-20260225",
     "quotes": [
      "The Series D was led by Eclipse, Balderton and the SoftBank Vision Fund 2."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/series-c/",
     "quotes": [
      "$1.05 billion\" Series C led by \"SoftBank Group\" (dated 7 May 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/",
     "quotes": [
      "Wayve, Stellantis, and NVIDIA Collaborate to Advance Safe and Responsible Autonomous Vehicle Deployment Across France\" (23 October 2026); \"Wayve Appoints Elisa de Martel as Chief Financial Officer\" (16 September 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10924127",
     "quotes": [
      "WAYVE TECHNOLOGIES LTD\" \"230 York Way, London, England, N7 9AG\" \"Active\" \"21 August 2017"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/wayve-announces-200-million-in-funding-to-accelerate-the-development-of-av2-0-the-next-wave-of-autonomous-vehicles/",
     "quotes": [
      "led the round."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://wayve.ai/press/series-d-extension/",
     "quotes": [
      "extending its Series D round"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://wayve.ai/press/category/investor-update/",
     "quotes": [
      "Wayve secures $1.5B to deploy its global autonomy platform"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://www.uktech.news/ai/wayve-acquires-quality-match-20251201",
     "quotes": [
      "Bringing Quality Match into Wayve marks a strategic step forward in our commitment to deliver safe and trustworthy AI,\" (trade)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/thinking/introducing-gaia1/",
     "quotes": [
      "GAIA-1 is a research model that leverages video, text and action inputs to generate realistic driving videos"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/labs/gaia/",
     "quotes": [
      "Scaling GAIA-1: 9-billion parameter generative world model for autonomous driving"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/introducing_lingo1/",
     "quotes": [
      "Wayve introduces a first-of-its-kind AI model for self-driving, LINGO-1."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/thinking/lingo-2-driving-with-language/",
     "quotes": [
      "LINGO-2 is the first closed-loop vision-language-action driving model tested on public roads."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/thinking/gaia-4/",
     "quotes": [
      "puts the Wayve AI Driver in the loop, transforming world modeling from scene generation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/thinking/the-path-to-autonomy/",
     "quotes": [
      "First and only to drive zero-shot in more than 500 cities across three continents (2025)."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/careers/",
     "quotes": [
      "open a second office in Mountain View, California"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "quotes": [
      "British self-driving tech firm"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/ai-driving-startup-wayve-1bn-softbank-20240507",
     "quotes": [
      "will support the development of Wayve's embodied AI technology"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/company/investors/",
     "quotes": [
      "Global Investors\" section (logo list)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/thinking/gaia-3/",
     "quotes": [
      "GAIA-3 combines the realism of real-world data with the control of simulation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/make-it-british-supporting-sovereign-uk-supply-chain-for-connected-and-automated-mobility",
     "quotes": [
      "safety assurance framework for the safe deployment of AI in self-driving technology"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://assets.publishing.service.gov.uk/media/5b8d327840f0b67daf8069fd/ccav-research-and-development-projects.pdf",
     "quotes": [
      "Our collaboration with Wayve Technology will address all of these limitations"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/thinking/wayve-announces-employee-tender-offer/",
     "quotes": [
      "Wayve is made up of 1,200 people today — more than double where we were just a year ago"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/company/leadership-team/",
     "quotes": [
      "Chief Scientist"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/wayve-mercedes-benz-announce-production-agreement/",
     "quotes": [
      "This partnership marks the world’s first integration of the Wayve AI Driver in the premium segment"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/category/press-release/",
     "quotes": [
      "Wayve Signs Partnership with UK Government to Accelerate Britain's Self‑Driving Future"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/wayve-uber-launch-autonomous-rides/",
     "quotes": [
      "Once the Wayve vehicle arrives, riders can unlock the doors, and start the trip – all from their Uber app."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/andrea-tagliasacchi-joins-wayve-labs/",
     "quotes": [
      "Andrea is one of the most respected researchers at the boundary of 3D vision and learned scene representations."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/stellantis-wayve-scale-ai-driver/",
     "quotes": [
      "We're building a general-purpose AI Driver that can power any vehicle, anywhere."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/wayve-uber-phv-license/",
     "quotes": [
      "Transport for London have granted Private Hire Vehicle licences to Wayve's autonomous vehicles"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems",
    "Perceptual systems",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "230-238 York Way, London (N7 9AG)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-004",
     "name": "British Growth Partnership",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-004",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-009",
     "name": "Air Street Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-009",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-010",
     "name": "Balderton Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-010",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-018",
     "name": "SoftBank Group and SoftBank Vision Fund 2",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-018",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-019",
     "name": "Eclipse",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-019",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-054",
     "name": "Microsoft (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-054",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-059",
     "name": "Uber (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-059",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-060",
     "name": "Baillie Gifford",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-060",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-061",
     "name": "Schroders Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-061",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-062",
     "name": "Ontario Teachers' Pension Plan",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-062",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-019",
     "name": "Eclipse",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-019",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-009",
     "name": "Microsoft (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-009",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-059",
     "name": "Uber (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-059",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-INV-059",
     "name": "Uber (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-059",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-210",
     "name": "Jamie Shotton",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-210",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-003",
     "name": "Alex Kendall",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-003",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-003",
     "name": "Alex Kendall",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-003",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-206",
     "name": "firstminute capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-206",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2130",
     "name": "Icehouse Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2130",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2130",
     "name": "Icehouse Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2130",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2174",
     "name": "Mercedes-Benz",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2174",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2174",
     "name": "Mercedes-Benz",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2174",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2187",
     "name": "Nissan",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2187",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2187",
     "name": "Nissan",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2187",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2208",
     "name": "Qualcomm Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2208",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2208",
     "name": "Qualcomm Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2208",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2098",
     "name": "Erez Dagan",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2098",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2099",
     "name": "Elisa de Martel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2099",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2100",
     "name": "Emma Baillie",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2100",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2101",
     "name": "Kaity Fischer",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2101",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2102",
     "name": "Silvius Rus",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2102",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2103",
     "name": "Simone Fabris",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2103",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2104",
     "name": "Vijay Badrinarayanan",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2104",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2105",
     "name": "Frank Fink",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2105",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2106",
     "name": "Rob Flenniken",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2106",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2107",
     "name": "Sarah Gates",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2107",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2108",
     "name": "Tim Dawkins",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2108",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2109",
     "name": "Girish Venkataramani",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2109",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2110",
     "name": "Brandon Basso",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2110",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-CHIP-001",
     "name": "Arm",
     "page": "chips",
     "href": "../chips/#org=BIZ-CHIP-001",
     "page_label": "Chips and hardware"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-CHIP-001",
     "name": "Arm",
     "page": "chips",
     "href": "../chips/#org=BIZ-CHIP-001",
     "page_label": "Chips and hardware"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-058",
     "name": "AMD (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-058",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-058",
     "name": "AMD (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-058",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-060",
     "name": "Baillie Gifford",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-060",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-060",
     "name": "Baillie Gifford",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-060",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-010",
     "name": "Balderton Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-010",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-010",
     "name": "Balderton Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-010",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-019",
     "name": "Eclipse",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-019",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-019",
     "name": "Eclipse",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-019",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-054",
     "name": "Microsoft (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-054",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-054",
     "name": "Microsoft (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-054",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-061",
     "name": "Schroders Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-061",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-061",
     "name": "Schroders Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-061",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-059",
     "name": "Uber (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-059",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-059",
     "name": "Uber (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-059",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "SoftBank"
    },
    {
     "kind": "funded_by",
     "name": "Balderton"
    },
    {
     "kind": "funded_by",
     "name": "Mercedes-Benz"
    },
    {
     "kind": "funded_by",
     "name": "Nissan"
    },
    {
     "kind": "funded_by",
     "name": "Stellantis"
    },
    {
     "kind": "partner_of",
     "name": "Stellantis"
    },
    {
     "kind": "supplies",
     "name": "Mercedes-Benz"
    },
    {
     "kind": "funded_by",
     "name": "Centre for Connected and Autonomous Vehicles"
    },
    {
     "kind": "partner_of",
     "name": "University of Warwick"
    }
   ],
   "degree": 13,
   "related_ids": [
    "BIZ-LAB-7057",
    "BIZ-LAB-7058",
    "BIZ-LAB-7059",
    "BIZ-LAB-7060",
    "BIZ-LAB-7061",
    "BIZ-LAB-7062",
    "BIZ-LAB-7063",
    "BIZ-LAB-7064",
    "BIZ-LAB-7065",
    "BIZ-LAB-7066",
    "BIZ-LAB-7067",
    "BIZ-LAB-7068",
    "BIZ-LAB-7069"
   ]
  },
  {
   "id": "BIZ-LAB-004",
   "name": "Synthesia",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised a US$200m Series E at a US$4bn valuation led by GV, announced 26 January 2026; it has since opened a US headquarters in New York. Companies House shows SYNTHESIA LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Makes software that turns typed text into videos presented by digital human avatars, mostly for company training.",
   "description": "Synthesia was incorporated in London in August 2017. It makes AI video avatars that companies use for training and internal communication. It raised a US$180m Series D at a US$2.1bn valuation led by NEA in January 2025, and a US$200m Series E at a US$4bn valuation led by GV in January 2026. The company says it is headquartered in London, with offices across Europe and the US; its newsroom says it has opened a US headquarters in New York because around half its revenue comes from the US. It builds its own avatar video models; whether it belongs on this page or the applications page is for Alex to decide. [Round 4, 30 Oct 2026] latest round: Series E $200m (£146m) at $4bn valuation, 26 Jan 2026; led by GV [Labs Round 7, 30 Oct 2026] valuation_reported: $4 billion at $200M Series E (26 Jan 2026); $2.1 billion at $180M Series D (15 Jan 2025) [Labs Round 7, 30 Oct 2026] round_detail (existing DEAL-LAB-008, Series E): Also Evantic and Hedosophia (new), NVentures, Accel, Kleiner Perkins, NEA, PSP Growth, Air Street Capital, FirstMark, MMC Ventures; employee secondary sale run with NASDAQ at the $4B valuation [Labs Round 7, 30 Oct 2026] users_or_customers: Used by over 90% of the Fortune 100 (Jan 2026); over 60,000 customers (Jan 2025) [Labs Round 7, 30 Oct 2026] revenue_reported: Billing system scaled from $40M ARR to about $140M ARR (post of 10 Feb 2026) [Labs Round 7, 30 Oct 2026] offices: Headquarters London; office in New York; new offices Austin and Berlin, larger presence Paris and Zurich (21 Apr 2026); Seattle (22 Jun 2026); UK pledged to remain headquarters (Jan 2025) [Labs Round 7, 30 Oct 2026] models_released: Express-2 video and voice engine for full-body avatars, 4 Sep 2025 (Express-Voice now default text-to-speech) [Labs Round 7, 30 Oct 2026] models_released: Synthesia 3.0, 1 Oct 2025; Express-3 avatar model and Dubbing 2.0, 15 Jul 2026; Syren video and motion graphics from a prompt, 9 Oct 2026 [Labs Round 7, 30 Oct 2026] chief_executive: Victor Riparbelli, co-founder and chief executive [Labs Round 7, 30 Oct 2026] valuation_reported (second source): $4 billion post-money (tech.eu, 4 Nov 2025) — confirms the company's $4B figure; note tech.eu dates the $200M round to October 2025, the company post to 26 Jan 2026 — lead to reconcile [Labs Round 7, 30 Oct 2026] avatar_model_line: EXPRESS-1 (22 Apr 2024) → Express-2 (Oct–Nov 2025) → Express-3 (15 Jul 2026); platform banners (undated, read 30 Oct 2026): \"2M+ users\", \"50,000+ teams\", \"140+ languages\" [Labs Round 8, 31 Oct 2026] status_now: Independent and growing: $200m Series E at $4bn valuation (Jan 2026); planned global headcount growth above 70% in 2026; new offices in Austin and Berlin, expanded Paris and Zurich (21 Apr 2026); Seattle team (22 Jun 2026); US headquarters in New York (Flatiron District) [Labs Round 8, 31 Oct 2026] users_or_customers: Used by over 90% of the Fortune 100 and 95% of the DAX 40; contracts over $100,000 tripled in 12 months; net revenue retention above 140% (21 Apr 2026); 2M+ users and 50,000+ teams (15 Jul 2026); named customers Merck, Nexity, Mondelez International, SAP, Merck KGaA [Labs Round 8, 31 Oct 2026] key_facts: Annual recurring revenue grew from $40m to about $140m (company engineering blog, 10 Feb 2026) [Labs Round 8, 31 Oct 2026] key_facts: ARR passed $100m (15 Apr 2025), with use by over 70% of the Fortune 100 at that date and an Adobe Ventures strategic investment [Labs Round 8, 31 Oct 2026] research_focus: Neural video synthesis of people: learned 2D and 3D representations (scenes), efficiency, generalisation from less recorded footage, speech-matched facial motion, and body language (dynamics); research led with co-founders Prof. Matthias Niessner (TU Munich) and Prof. Lourdes Agapito (UCL) [Labs Round 8, 31 Oct 2026] news: 2026-10-09 — Synthesia launches Syren: video and motion graphics from a single prompt — https://www.synthesia.io/post/syren-studio [Labs Round 8, 31 Oct 2026] news: 2026-10-01 — Sessions, a platform where interactive avatars coach, interview and guide — https://www.synthesia.io/post/sessions-interactive-avatar-platform [Labs Round 8, 31 Oct 2026] news: 2026-07-29 — Synthesia among the first AI video companies to sign the EU's Article 50 Code of Practice — https://www.synthesia.io/post/synthesia-among-the-first-ai-video-companies-to-sign-the-eu-article-50-code-of-practice [Labs Round 8, 31 Oct 2026] news: 2026-07-15 — Synthesia launches AI Assistant and Express-3 avatar model; Dubbing 2.0 — https://www.synthesia.io/post/synthesia-launches-new-ai-assistant-for-faster-video-creation-and-express-3-avatar-model [Labs Round 8, 31 Oct 2026] news: 2026-06-22 — Synthesia expands to Seattle and hires Amazon veteran Brett Taylor — https://www.synthesia.io/post/synthesia-expands-to-seattle-hires-amazon-veteran-brett-taylor [Labs Round 8, 31 Oct 2026] news: 2026-10-09 — Synthesia launches Syren (video and motion graphics from a single prompt); 2026-10-01 — Sessions platform; 2026-07-15 — Dubbing 2.0 and Express-3; 2026-08-26 — AI Press Officer interactive avatar of head of corporate affairs Alexandru Voica [Labs Round 8, 31 Oct 2026] customers_or_partners: Syren page states \"Trusted by 50,000+ teams\" and 2M+ users, with 230+ (header: 240+) avatars in 140+ languages (company figures, 9 Oct 2026; inconsistent avatar count on the page) [Safety Round 1, 31 Oct 2026] Alex's Safety file (line 217) cross-listed from Labs under Deepfake and content provenance: a member of C2PA, adding Content Credentials and consent checks to synthetic video (file cites synthesia.io). Valuation and growth claims in the row are held.",
   "uk_status": "uk",
   "company": {
    "ch_number": "10933652",
    "registered_office": "Level 3 (South) 20 Triton Street, Regent's Place, London, United Kingdom, NW1 3BF",
    "incorporated": "25 August 2017",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "10933652",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10933652",
    "ch_note": null,
    "ch_name": "SYNTHESIA LIMITED",
    "legal_name": "SYNTHESIA LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "62012"
    ],
    "registered_office_postcode": "NW1 3BF"
   },
   "place": {
    "text": "20 Triton Street, Regent's Place, London (NW1 3BF)",
    "postcode": "NW1 3BF",
    "lat": 51.524907,
    "lng": -0.142319,
    "region": "England: London",
    "admin_district": "Camden",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "null (not re-verified this session; see People table)",
     "role": null,
     "from": null,
     "source": null
    },
    {
     "name": "Victor Riparbelli",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://www.uktech.news/ai/synthesia-4bn-valuation-confirmed-after-google-led-series-e-20260126",
     "round4": true
    },
    {
     "name": "Victor Riparbelli",
     "role": "Co-founder and chief executive",
     "from": "2017",
     "source": "https://tech.eu/2025/01/15/synthesia-doubles-valuation-to-2bn-and-pledges-commitment-to-uk/",
     "round4": true
    },
    {
     "name": "Peter Hill",
     "role": "Chief technology officer (relocating from the US to the UK)",
     "from": "— (reported 2025-01-15)",
     "source": "https://tech.eu/2025/01/15/synthesia-doubles-valuation-to-2bn-and-pledges-commitment-to-uk/",
     "round4": true
    },
    {
     "name": "Victor Riparbelli",
     "role": "CEO & Co-Founder",
     "from": "null",
     "source": "https://www.synthesia.io/careers",
     "round4": true
    },
    {
     "name": "Steffen Tjerrild",
     "role": "COO & Co-Founder",
     "from": "null",
     "source": "https://www.synthesia.io/careers",
     "round4": true
    },
    {
     "name": "Lourdes Agapito",
     "role": "Co-founder",
     "from": "null",
     "source": "https://www.synthesia.io/careers",
     "round4": true
    },
    {
     "name": "Peter Hill",
     "role": "CTO",
     "from": "null",
     "source": "https://www.synthesia.io/careers",
     "round4": true
    },
    {
     "name": "Victor Riparbelli",
     "role": "Chief Executive and co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/synthesia-recurring-revenue-surpasses-100m-20250415",
     "round4": true
    },
    {
     "name": "Matthias Niessner",
     "role": "Co-founder; Professor, Technical University of Munich (Visual Computing Lab)",
     "from": null,
     "source": "https://www.synthesia.io/research",
     "round4": true
    },
    {
     "name": "Lourdes Agapito",
     "role": "Co-founder; Professor of 3D Vision, UCL",
     "from": null,
     "source": "https://www.synthesia.io/research",
     "round4": true
    },
    {
     "name": "Brett Taylor",
     "role": "Hired to lead new Seattle team (Amazon veteran)",
     "from": "2026-06",
     "source": "https://www.synthesia.io/blog/category/synthesia",
     "round4": true
    },
    {
     "name": "Alexandru Voica",
     "role": "Head of corporate affairs",
     "from": null,
     "source": "https://www.synthesia.io/post/synthesia-ai-press-officer",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 200000000,
     "currency": "USD",
     "date": "2026-01-26",
     "detail": "Series E led by GV",
     "raw": "funding_round: 200000000 USD 2026-01-26 — Series E led by GV",
     "amount_gbp": 145900204,
     "fx_rate": 1.3708,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3708 per £ on 2026-01-26",
     "fx_date": "2026-01-26",
     "fx_note": "",
     "txt": "US$200m",
     "gbp_txt": "£145.9m"
    },
    {
     "kind": "valuation_reported",
     "amount": 4000000000,
     "currency": "USD",
     "date": "2026-01-26",
     "detail": null,
     "raw": "valuation_reported: 4000000000 USD 2026-01-26",
     "amount_gbp": 2918004085,
     "fx_rate": 1.3708,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3708 per £ on 2026-01-26",
     "fx_date": "2026-01-26",
     "fx_note": "",
     "txt": "US$4bn",
     "gbp_txt": "£2.92bn"
    },
    {
     "kind": "funding_round",
     "amount": 180000000,
     "currency": "USD",
     "date": "2025-01-15",
     "detail": "Series D led by NEA",
     "raw": "funding_round: 180000000 USD 2025-01-15 — Series D led by NEA",
     "amount_gbp": 146842878,
     "fx_rate": 1.2258,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2258 per £ on 2025-01-15",
     "fx_date": "2025-01-15",
     "fx_note": "",
     "txt": "US$180m",
     "gbp_txt": "£146.8m"
    },
    {
     "kind": "valuation_reported",
     "amount": 2100000000,
     "currency": "USD",
     "date": "2025-01-15",
     "detail": null,
     "raw": "valuation_reported: 2100000000 USD 2025-01-15",
     "amount_gbp": 1713166911,
     "fx_rate": 1.2258,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2258 per £ on 2025-01-15",
     "fx_date": "2025-01-15",
     "fx_note": "",
     "txt": "US$2.10bn",
     "gbp_txt": "£1.71bn"
    },
    {
     "kind": "funding_round",
     "amount": 90000000,
     "currency": "USD",
     "date": "2023-06-13",
     "detail": "Series C led by Accel",
     "raw": "funding_round: 90000000 USD 2023-06-13 — Series C led by Accel",
     "amendment": true,
     "source": "https://www.uktech.news/ai/synthesia-series-c-unicorn-20230613",
     "amount_gbp": 71405903,
     "fx_rate": 1.2604,
     "fx_date": "2023-06-13",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2604 per £ on 2023-06-13",
     "fx_note": "",
     "txt": "US$90m",
     "gbp_txt": "£71.4m"
    },
    {
     "kind": "valuation_reported",
     "amount": 1000000000,
     "currency": "USD",
     "date": "2023-06-13",
     "detail": "",
     "raw": "valuation_reported: 1000000000 USD 2023-06-13",
     "amendment": true,
     "source": "https://www.uktech.news/ai/synthesia-series-c-unicorn-20230613",
     "amount_gbp": 793398921,
     "fx_rate": 1.2604,
     "fx_date": "2023-06-13",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2604 per £ on 2023-06-13",
     "fx_note": "",
     "txt": "US$1bn",
     "gbp_txt": "£793.4m"
    },
    {
     "kind": "funding_round",
     "amount": null,
     "currency": null,
     "date": "2025-04-15",
     "detail": "strategic investment from Adobe Ventures",
     "raw": "funding_round (undisclosed) 2025-04-15 — strategic investment from Adobe Ventures",
     "amendment": true,
     "source": "https://www.uktech.news/ai/synthesia-series-c-unicorn-20230613",
     "amount_gbp": null,
     "fx_rate": null,
     "fx_source": null,
     "fx_note": "no amount published",
     "txt": "",
     "gbp_txt": ""
    },
    {
     "kind": "revenue",
     "amount": 100000000,
     "currency": "USD",
     "date": "2025-04-15",
     "detail": "ARR \"over\" US$100m",
     "raw": "revenue: 100000000 USD 2025-04-15 — ARR \"over\" US$100m",
     "amendment": true,
     "source": "https://www.uktech.news/ai/synthesia-series-c-unicorn-20230613",
     "amount_gbp": 75500189,
     "fx_rate": 1.3245,
     "fx_date": "2025-04-15",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3245 per £ on 2025-04-15",
     "fx_note": "",
     "txt": "US$100m",
     "gbp_txt": "£75.5m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Perceptual systems",
    "AI development and training"
   ],
   "sectors": [
    "AI video",
    "corporate training"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "money",
     "text": "add: funding_round: 90000000 USD 2023-06-13 — Series C led by Accel ; valuation_reported: 1000000000 USD 2023-06-13 ; funding_round (undisclosed) 2025-04-15 — strategic investment from Adobe Ventures ; revenue: 100000000 USD 2025-04-15 — ARR \"over\" US$100m"
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-synthesia",
   "type": "Companies",
   "category": "AI video",
   "function": "Makes software that turns typed text into videos presented by digital human avatars, mostly for company training.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/series-e-200-million-4-billion-valuation-future-work",
    "https://www.uktech.news/ai/synthesia-4bn-valuation-confirmed-after-google-led-series-e-20260126",
    "https://www.synthesia.io/post/synthesia-secures-180m-in-series-d-funding",
    "https://www.synthesia.io/newsroom",
    "https://find-and-update.company-information.service.gov.uk/company/10933652",
    "https://www.uktech.news/ai/synthesia-series-c-unicorn-20230613",
    "https://www.synthesia.io/post/100-million-revenue-adobe-investment",
    "https://www.synthesia.io/blog/category/synthesia",
    "https://www.synthesia.io/post/synthesia-global-expansion-austin-berlin-paris-zurich-2026",
    "https://www.synthesia.io/post/express-2-is-synthesias-next-chapter-for-full-body-expressive-ai-avatars",
    "https://tech.eu/2025/11/04/europes-ai-ecosystem-rapid-growth-and-rising-global-ambitions/",
    "https://www.synthesia.io/post/synthesia-launches-new-ai-assistant-for-faster-video-creation-and-express-3-avatar-model",
    "https://www.synthesia.io/careers",
    "https://www.uktech.news/ai/synthesia-recurring-revenue-surpasses-100m-20250415",
    "https://www.synthesia.io/research",
    "https://www.synthesia.io/post/syren-studio"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/series-e-200-million-4-billion-valuation-future-work",
     "quotes": [
      "LONDON, January 26, 2026\" \"has raised a $200 million Series E funding round at a $4 billion valuation.\" \"the company is headquartered in London, with offices across Europe and the US."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/synthesia-4bn-valuation-confirmed-after-google-led-series-e-20260126",
     "quotes": [
      "has confirmed it has raised $200m (£146m) in a Google Ventures-led Series E round\" \"that has landed it with a $4bn valuation"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/post/synthesia-secures-180m-in-series-d-funding",
     "quotes": [
      "$180 million Series D funding round\" \"valuing the company at $2.1 billion\" \"The round was led by NEA\" (dated January 15, 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/newsroom",
     "quotes": [
      "We've opened our new US headquarters in New York City"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10933652",
     "quotes": [
      "SYNTHESIA LIMITED\" \"Active\" \"25 August 2017"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/synthesia-series-c-unicorn-20230613",
     "quotes": [
      "has raised $90m (£71.4m)",
      "a $1bn unicorn valuation"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://www.synthesia.io/post/100-million-revenue-adobe-investment",
     "quotes": [
      "over $100 million in annual recurring revenue (ARR)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://www.synthesia.io/blog/category/synthesia",
     "quotes": [
      "How We Built a Billing System That Scaled with Us from $40M ARR to ~$140M"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/post/synthesia-global-expansion-austin-berlin-paris-zurich-2026",
     "quotes": [
      "new offices in Austin, and Berlin, alongside an expanded presence in Paris and Zurich"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/post/express-2-is-synthesias-next-chapter-for-full-body-expressive-ai-avatars",
     "quotes": [
      "our new video and voice engine for AI avatars"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/11/04/europes-ai-ecosystem-rapid-growth-and-rising-global-ambitions/",
     "quotes": [
      "resulting in a $4 billion post-money valuation"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/post/synthesia-launches-new-ai-assistant-for-faster-video-creation-and-express-3-avatar-model",
     "quotes": [
      "Express-3, our most advanced avatar model for lip sync, natural body movement and gestures."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/careers",
     "quotes": [
      "CEO & Co-Founder"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/synthesia-recurring-revenue-surpasses-100m-20250415",
     "quotes": [
      "We are incredibly proud to announce these milestones,"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/research",
     "quotes": [
      "We solve this through neural video synthesis."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/post/syren-studio",
     "quotes": [
      "Syren is Synthesia’s new AI video creation tool."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Perceptual systems",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "20 Triton Street, Regent's Place, London (NW1 3BF)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-009",
     "name": "Air Street Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-009",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-023",
     "name": "Kleiner Perkins",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-023",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-024",
     "name": "NEA (New Enterprise Associates)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-024",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-029",
     "name": "Hedosophia",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-029",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-032",
     "name": "MMC Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-032",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-033",
     "name": "Accel",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-033",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-072",
     "name": "FirstMark",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-072",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-024",
     "name": "NEA (New Enterprise Associates)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-024",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-033",
     "name": "Accel",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-033",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-023",
     "name": "Kleiner Perkins",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-023",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-032",
     "name": "MMC Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-032",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-072",
     "name": "FirstMark",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-072",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-211",
     "name": "Lourdes Agapito",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-211",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-212",
     "name": "Matthias Niessner",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-212",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-004",
     "name": "Victor Riparbelli",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-004",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-004",
     "name": "Victor Riparbelli",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-004",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-005",
     "name": "Steffen Tjerrild-Hansen",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-005",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-005",
     "name": "Steffen Tjerrild-Hansen",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-005",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-020",
     "name": "Sarah Cross",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-020",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-202",
     "name": "Seedcamp",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-202",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2155",
     "name": "Laura Gonzalez",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2155",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "NVentures (NVIDIA)"
    }
   ],
   "degree": 10,
   "related_ids": [
    "BIZ-LAB-11006",
    "BIZ-LAB-14072",
    "BIZ-LAB-14073",
    "BIZ-LAB-14074",
    "BIZ-LAB-7070",
    "BIZ-LAB-7071",
    "BIZ-LAB-7072",
    "BIZ-LAB-7073",
    "BIZ-LAB-7074",
    "BIZ-LAB-7075"
   ]
  },
  {
   "id": "BIZ-LAB-005",
   "name": "ElevenLabs",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-09-30",
   "status_detail": "On 30 September 2026 the company said a US$300m employee tender offer, led by Wellington and T. Rowe Price, valued it at US$22bn, double its February 2026 Series D valuation.",
   "one_line": "Builds AI models that turn text into speech, clone voices and run voice agents, used for audiobooks, dubbing and customer calls.",
   "description": "ElevenLabs builds its own audio foundation models, including Eleven v3 and Eleven v4, and sells speech, dubbing, music and voice-agent products. Its UK company, Eleven Labs Ltd, was incorporated in London on 4 January 2022 with the two founders as directors. It raised US$180m at a US$3.3bn valuation in January 2025 and US$500m at an US$11bn valuation led by Sequoia in February 2026; an employee tender in September 2026 valued it at US$22bn. UKTN calls it London-headquartered; the company's own pages list London among several offices and do not name a headquarters. [Round 4, 30 Oct 2026] latest round: Series D: $500m announced Feb 2026 at $11bn valuation; more than $550m by third close, 5 May 2026; new backers BlackRock, Wellington, D.E. Shaw, Schroders, NVentures, Santander [Round 4, 30 Oct 2026] revenue: ARR above $500m in Q1 2026 (up from $350m at end-2025) [Round 4, 30 Oct 2026] place / headcount: European HQ on Wardour Street, Soho, London (Aug 2024); 20 London staff then [Round 4, 30 Oct 2026] people: Mati Staniszewski, co-founder and CEO; Piotr Dąbkowski, CTO [Labs Round 7, 30 Oct 2026] models_released: Eleven v3 (alpha) text-to-speech, over 70 languages, 3 Jun 2025; generally available 2 Feb 2026 [Labs Round 7, 30 Oct 2026] models_released: ElevenLabs Image & Video, 17 Nov 2025 [Labs Round 7, 30 Oct 2026] models_released: Scribe v2 speech-to-text for batch transcription, subtitling and captioning, 9 Jan 2026 [Labs Round 7, 30 Oct 2026] models_released: ElevenMusic app, 29 Apr 2026; Music v2 model, 26 May 2026 (built with artists, labels and publishers; licensing with Believe named); Dubbing v2, 28 May 2026 [Labs Round 7, 30 Oct 2026] models_released: Eleven v4 and low-latency Eleven v4 Turbo text-to-speech, more than 90 languages, 28 Sep 2026 [Labs Round 7, 30 Oct 2026] models_released: Eleven Realtime for building voice agents, 20 Oct 2026 [Labs Round 7, 30 Oct 2026] valuation_reported: $11 billion at Series D (4 Feb 2026); $22 billion at $300M employee tender offer (30 Sep 2026) [Labs Round 7, 30 Oct 2026] correction to existing DEAL-LAB-011 / DEAL-X-034 (30 Sep 2026, $300M): Transaction was an employee tender offer (secondary), not a primary round; led by Wellington and T. Rowe Price; new investors BDT & MSD, EQT, GIC, Goldman Sachs, OTPP, Sapphire Ventures [Labs Round 7, 30 Oct 2026] revenue_reported: Over $330M annual recurring revenue at end of 2025; crossed $500M ARR (5 May 2026) [Labs Round 7, 30 Oct 2026] headcount: Over 800 people (30 Sep 2026); \"global team of 800 people\" (8 Sep 2026) [Labs Round 7, 30 Oct 2026] uk_offices: Moving to a new London headquarters three times the size of the old office; UK headcount to double to 200 (8 Jun 2026) [Labs Round 7, 30 Oct 2026] offices: Expanding across London, New York, San Francisco, Warsaw, Dublin, Tokyo, Seoul, Singapore, Bengaluru, Sydney, São Paulo, Berlin, Paris and Mexico City (Feb 2026) [Labs Round 7, 30 Oct 2026] users_or_customers: More than 15 million conversations a week; customers include Stripe, Deutsche Telekom, Admiral, governments of Ukraine and Greece (30 Sep 2026); ElevenAPI platforms reach \"over one billion users\" (Feb 2026) [Labs Round 7, 30 Oct 2026] founders: Mati Staniszewski and Piotr Dabkowski, co-founders [Labs Round 7, 30 Oct 2026] founded: 2022 [Labs Round 7, 30 Oct 2026] current_model_line_up (models page, read 30 Oct 2026): Text to speech: Eleven v4, v4 Turbo (flagship), v3, Multilingual v2, Flash v2.5; speech to text: Scribe v2, v2 Realtime, v2 Medical; agents: Eleven Realtime v1 Mini and Max; music: Music v2.5; sound effects: SFX v3 (limited); deprecated: Turbo v2/v2.5, Scribe v1 [Labs Round 7, 30 Oct 2026] End-2025 annual run-rate revenue as published by the company: 'over $330 million' (4 February 2026) and $350 million (5 May 2026). Both shown. [Labs Round 8, 31 Oct 2026] status_now: Valuation reported at $22bn after a $300m employee tender offer led by Wellington and T. Rowe Price (30 Sep 2026); over 800 staff; London HQ to triple in size and UK headcount to double to 200 (8 Jun 2026) [Labs Round 8, 31 Oct 2026] valuation_reported: $22bn (30 Sep 2026, employee tender offer; described as double the February 2026 Series D valuation) [Labs Round 8, 31 Oct 2026] users_or_customers: Enterprise is 55% of revenue; agents handle over 15 million conversations a week; used by five of the ten largest tech companies, five of the ten largest insurers and four of the ten largest telecoms (30 Sep 2026); Revolut uses its voice agents for 4 million customers in 30 languages (8 Jun 2026); crossed $500m ARR (5 May 2026) [Labs Round 8, 31 Oct 2026] headcount: Over 800 (30 Sep 2026); UK headcount planned to double to 200 across research, engineering and sales (8 Jun 2026) [Labs Round 8, 31 Oct 2026] news: 2026-10-20 — Introducing Eleven Realtime: a simpler way to build natural voice agents — https://elevenlabs.io/blog/realtime [Labs Round 8, 31 Oct 2026] news: 2026-09-08 — Ethan Tandowsky joins as Chief Financial Officer; 2026-09-02 — Ashley Kramer joins as Chief Revenue Officer — https://elevenlabs.io/blog/cfo [Labs Round 8, 31 Oct 2026] news: 2026-06-22 — ElevenLabs to expand in California, creating 173 jobs — https://elevenlabs.io/blog/expanding-in-california [Labs Round 8, 31 Oct 2026] models_released: Deprecated per model docs: eleven_monolingual_v1 (English v1), eleven_multilingual_v1, eleven_turbo_v2, eleven_turbo_v2_5, scribe_v1; current docs list eleven_v4 and eleven_v4_turbo (90+ languages) as newest TTS [Labs Round 8, 31 Oct 2026] Listed on Labs (Voice agents): reason: builds its own realtime voice-agent models (Eleven Realtime v1) and ElevenAgents platform",
   "uk_status": "uk",
   "company": {
    "ch_number": "13826669",
    "registered_office": "Floor 4 33 Broadwick Street, London, England, W1F 0DQ",
    "incorporated": "4 January 2022",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": "UK headcount 68 (September 2025, company blog)",
    "ch_number_clean": "13826669",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13826669",
    "ch_note": null,
    "ch_name": "ELEVEN LABS LTD",
    "legal_name": "ELEVEN LABS LTD",
    "status_registry": "Active",
    "sic_codes": [
     "62012",
     "62090"
    ],
    "registered_office_postcode": "W1F 0DQ"
   },
   "place": {
    "text": "Soho, London (W1F 0DQ)",
    "postcode": "W1F 0DQ",
    "lat": 51.513316,
    "lng": -0.136133,
    "region": "England: London",
    "admin_district": "Westminster",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Mati Staniszewski (Mateusz Jakub Staniszewski)",
     "role": "Co-founder; director of Eleven Labs Ltd",
     "from": "2022-01-04",
     "source": "https://find-and-update.company-information.service.gov.uk/company/13826669/officers"
    },
    {
     "name": "Piotr Dabkowski",
     "role": "Co-founder; director of Eleven Labs Ltd",
     "from": "2022-01-04",
     "source": "https://find-and-update.company-information.service.gov.uk/company/13826669/officers"
    },
    {
     "name": "Mati Staniszewski",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://www.uktech.news/ai/elevenlabs-worldwide-london-20240814",
     "round4": true
    },
    {
     "name": "Piotr Dąbkowski",
     "role": "CTO",
     "from": null,
     "source": "https://www.uktech.news/ai/elevenlabs-worldwide-london-20240814",
     "round4": true
    },
    {
     "name": "Ethan Tandowsky",
     "role": "Chief Financial Officer (from CFO, Adyen)",
     "from": "2026-09-08",
     "source": "https://elevenlabs.io/blog/cfo",
     "round4": true
    },
    {
     "name": "Ashley Kramer",
     "role": "Chief Revenue Officer (from leading enterprise sales at OpenAI)",
     "from": "2026-09-02",
     "source": "https://elevenlabs.io/blog/cro",
     "round4": true
    },
    {
     "name": "Mati Staniszewski",
     "role": "Co-founder",
     "from": "2022",
     "source": "https://elevenlabs.io/blog/series-d",
     "round4": true
    },
    {
     "name": "Piotr Dabkowski",
     "role": "Co-founder",
     "from": "2022",
     "source": "https://elevenlabs.io/blog/series-d",
     "round4": true
    },
    {
     "name": "Andrew Reed",
     "role": "Board member (Partner, Sequoia Capital)",
     "from": "2026-02-04",
     "source": "https://elevenlabs.io/blog/series-d",
     "round4": true
    },
    {
     "name": "Ashley Kramer",
     "role": "Chief revenue officer",
     "from": "2026-09-02",
     "source": "https://elevenlabs.io/blog",
     "round4": true
    },
    {
     "name": "Ethan Tandowsky",
     "role": "Chief financial officer (previously CFO of Adyen)",
     "from": "2026-09-08",
     "source": "https://elevenlabs.io/blog/cfo",
     "round4": true
    },
    {
     "name": "Mati Staniszewski",
     "role": "Co-Founder",
     "from": "null",
     "source": "https://elevenlabs.io/blog/series-d",
     "round4": true
    },
    {
     "name": "Piotr Dabkowski",
     "role": "Co-Founder",
     "from": "null",
     "source": "https://elevenlabs.io/blog/series-d",
     "round4": true
    },
    {
     "name": "Ethan Tandowsky",
     "role": "Chief Financial Officer",
     "from": "2026-09-08",
     "source": "https://elevenlabs.io/blog",
     "round4": true
    },
    {
     "name": "Ashley Kramer",
     "role": "Chief Revenue Officer",
     "from": "2026-09-02",
     "source": "https://elevenlabs.io/blog",
     "round4": true
    },
    {
     "name": "Mati Staniszewski",
     "role": "Co-founder and Chief Executive",
     "from": null,
     "source": "https://elevenlabs.io/blog/tender-22bn",
     "round4": true
    },
    {
     "name": "Alex Holt",
     "role": "Field CTO; leads core engineering and forward deployed engineering (UK)",
     "from": "2023",
     "source": "https://elevenlabs.io/blog/uk-mou-and-expansion",
     "round4": true
    },
    {
     "name": "Ethan Tandowsky",
     "role": "Chief Financial Officer",
     "from": "2026-09",
     "source": "https://elevenlabs.io/blog",
     "round4": true
    },
    {
     "name": "Ashley Kramer",
     "role": "Chief Revenue Officer",
     "from": "2026-09",
     "source": "https://elevenlabs.io/blog",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 500000000,
     "currency": "USD",
     "date": "2026-02-04",
     "detail": "Series D led by Sequoia Capital",
     "raw": "funding_round: 500000000 USD 2026-02-04 — Series D led by Sequoia Capital",
     "amount_gbp": 365925059,
     "fx_rate": 1.3664,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3664 per £ on 2026-02-04",
     "fx_date": "2026-02-04",
     "fx_note": "",
     "txt": "US$500m",
     "gbp_txt": "£365.9m"
    },
    {
     "kind": "valuation_reported",
     "amount": 11000000000,
     "currency": "USD",
     "date": "2026-02-04",
     "detail": null,
     "raw": "valuation_reported: 11000000000 USD 2026-02-04",
     "amount_gbp": 8050351288,
     "fx_rate": 1.3664,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3664 per £ on 2026-02-04",
     "fx_date": "2026-02-04",
     "fx_note": "",
     "txt": "US$11bn",
     "gbp_txt": "£8.05bn"
    },
    {
     "kind": "revenue",
     "amount": 330000000,
     "currency": "USD",
     "date": "2025-12-31",
     "detail": "ARR \"over\" US$330m at end of 2025",
     "raw": "revenue: 330000000 USD 2025-12-31 — ARR \"over\" US$330m at end of 2025",
     "amount_gbp": 245334919,
     "fx_rate": 1.3451,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3451 per £ on 2025-12-31",
     "fx_date": "2025-12-31",
     "fx_note": "",
     "txt": "US$330m",
     "gbp_txt": "£245.3m"
    },
    {
     "kind": "funding_round",
     "amount": 180000000,
     "currency": "USD",
     "date": "2025-01-30",
     "detail": "Series C co-led by a16z and ICONIQ Growth",
     "raw": "funding_round: 180000000 USD 2025-01-30 — Series C co-led by a16z and ICONIQ Growth",
     "amount_gbp": 144381166,
     "fx_rate": 1.2467,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2467 per £ on 2025-01-30",
     "fx_date": "2025-01-30",
     "fx_note": "",
     "txt": "US$180m",
     "gbp_txt": "£144.4m"
    },
    {
     "kind": "valuation_reported",
     "amount": 3300000000,
     "currency": "USD",
     "date": "2025-01-30",
     "detail": null,
     "raw": "valuation_reported: 3300000000 USD 2025-01-30",
     "amount_gbp": 2646988048,
     "fx_rate": 1.2467,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2467 per £ on 2025-01-30",
     "fx_date": "2025-01-30",
     "fx_note": "",
     "txt": "US$3.30bn",
     "gbp_txt": "£2.65bn"
    },
    {
     "kind": "valuation_reported",
     "amount": 22000000000,
     "currency": "USD",
     "date": "2026-09-30",
     "detail": "employee tender offer of US$300m",
     "raw": "valuation_reported: 22000000000 USD 2026-09-30 — employee tender offer of US$300m",
     "amount_gbp": 16560030109,
     "fx_rate": 1.3285,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3285 per £ on 2026-09-30",
     "fx_date": "2026-09-30",
     "fx_note": "",
     "txt": "US$22bn",
     "gbp_txt": "£16.56bn"
    },
    {
     "kind": "funding_round",
     "amount": 2000000,
     "currency": "USD",
     "date": "2023-01-23",
     "detail": "pre-seed, Credo Ventures",
     "raw": "funding_round: 2000000 USD 2023-01-23 (pre-seed, Credo Ventures)",
     "amendment": true,
     "source": "https://elevenlabs.io/blog/series-c",
     "amount_gbp": 1617076,
     "fx_rate": 1.2368,
     "fx_date": "2023-01-23",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2368 per £ on 2023-01-23",
     "fx_note": "",
     "txt": "US$2m",
     "gbp_txt": "£1.6m"
    },
    {
     "kind": "funding_round",
     "amount": 19000000,
     "currency": "USD",
     "date": "2023-06-20",
     "detail": "Series A",
     "raw": "funding_round: 19000000 USD 2023-06-20 (Series A)",
     "amendment": true,
     "source": "https://elevenlabs.io/blog/series-c",
     "amount_gbp": 14919513,
     "fx_rate": 1.2735,
     "fx_date": "2023-06-20",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2735 per £ on 2023-06-20",
     "fx_note": "",
     "txt": "US$19m",
     "gbp_txt": "£14.9m"
    },
    {
     "kind": "funding_round",
     "amount": 80000000,
     "currency": "USD",
     "date": "2024-01-22",
     "detail": "Series B",
     "raw": "funding_round: 80000000 USD 2024-01-22 (Series B)",
     "amendment": true,
     "source": "https://elevenlabs.io/blog/series-c",
     "amount_gbp": 62888138,
     "fx_rate": 1.2721,
     "fx_date": "2024-01-22",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2721 per £ on 2024-01-22",
     "fx_note": "",
     "txt": "US$80m",
     "gbp_txt": "£62.9m"
    },
    {
     "kind": "valuation_reported",
     "amount": 6600000000,
     "currency": "USD",
     "date": "2025-09-08",
     "detail": "US$100m employee tender",
     "raw": "valuation_reported: 6600000000 USD 2025-09-08 (US$100m employee tender)",
     "amendment": true,
     "source": "https://elevenlabs.io/blog/series-c",
     "amount_gbp": 4876246768,
     "fx_rate": 1.3535,
     "fx_date": "2025-09-08",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3535 per £ on 2025-09-08",
     "fx_note": "",
     "txt": "US$6.60bn",
     "gbp_txt": "£4.88bn"
    },
    {
     "kind": "funding_round",
     "amount": null,
     "currency": null,
     "date": "2026-05-05",
     "detail": "Series D third close",
     "raw": "funding_round undisclosed 2026-05-05 (Series D third close)",
     "amendment": true,
     "source": "https://elevenlabs.io/blog/series-c",
     "amount_gbp": null,
     "fx_rate": null,
     "fx_source": null,
     "fx_note": "no amount published",
     "txt": "",
     "gbp_txt": ""
    },
    {
     "kind": "revenue",
     "amount": 500000000,
     "currency": "USD",
     "date": "2026-04",
     "detail": "ARR passed US$500m in the first four months of 2026. Total funding to Series C was US$281m over four rounds.",
     "raw": "revenue: 500000000 USD 2026-04 — ARR passed US$500m in the first four months of 2026. Total funding to Series C was US$281m over four rounds.",
     "amendment": true,
     "source": "https://elevenlabs.io/blog/series-c",
     "amount_gbp": 374981251,
     "fx_rate": 1.3334,
     "fx_date": "2026-04-01",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3334 per £ on 2026-04-01",
     "fx_note": "month only given: rate for the 1st",
     "txt": "US$500m",
     "gbp_txt": "£375m"
    }
   ],
   "site": null,
   "product": {
    "maker": "ElevenLabs",
    "launched": null,
    "what_it_does": "Eleven v4 and Eleven v3 speech models"
   },
   "dsit_domains": [
    "Natural language applications",
    "Perceptual systems",
    "AI development and training"
   ],
   "sectors": [
    "speech and audio AI",
    "voice agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "money",
     "text": "add: funding_round: 2000000 USD 2023-01-23 (pre-seed, Credo Ventures) ; funding_round: 19000000 USD 2023-06-20 (Series A) ; funding_round: 80000000 USD 2024-01-22 (Series B) ; valuation_reported: 6600000000 USD 2025-09-08 (US$100m employee tender) ; funding_round undisclosed 2026-05-05 (Series D third close) ; revenue: 500000000 USD 2026-04 — ARR passed US$500m in the first four months of 2026. Total funding to Series C was US$281m over four rounds."
    },
    {
     "from": "Part 2.4",
     "field": "money (correction note)",
     "text": "The existing entry \"revenue: 330000000 USD 2025-12-31\" conflicts with the company's later post, which says it finished 2025 at US$350m ARR. Lead researcher to choose; both are company figures."
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-elevenlabs",
   "type": "Companies",
   "category": "speech and audio AI",
   "function": "Builds AI models that turn text into speech, clone voices and run voice agents, used for audiobooks, dubbing and customer calls.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/de/blog/series-d",
    "https://tech.eu/2026/02/04/elevenlabs-raises-500m-says-building-towards-ipo/",
    "https://www.uktech.news/ai/elevenlabs-valued-at-11bn-after-series-d-megaround-20260205",
    "https://elevenlabs.io/blog/tender-22bn",
    "https://elevenlabs.io/blog/series-c",
    "https://elevenlabs.io/blog/elevenlabs-scales-uk-and-us-presence",
    "https://www.uktech.news/ai/elevenlabs-worldwide-london-20240814",
    "https://find-and-update.company-information.service.gov.uk/company/13826669",
    "https://elevenlabs.io/blog/series-b",
    "https://elevenlabs.io/blog/500m-arr-and-new-investors",
    "https://tech.eu/2026/05/05/elevenlabs-adds-blackrock-nvidia-and-jamie-foxx-to-550m-series-d/",
    "https://elevenlabs.io/blog/eleven-v3",
    "https://elevenlabs.io/blog",
    "https://elevenlabs.io/blog/introducing-scribe-v2",
    "https://elevenlabs.io/blog/introducing-music-v2",
    "https://elevenlabs.io/blog/eleven-v4",
    "https://elevenlabs.io/blog/series-d",
    "https://elevenlabs.io/blog/uk-mou-and-expansion",
    "https://tech.eu/2025/11/04/europes-ai-ecosystem-rapid-growth-and-rising-global-ambitions/",
    "https://elevenlabs.io/docs/overview/models",
    "https://elevenlabs.io/about"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/de/blog/series-d",
     "quotes": [
      "ElevenLabs hat in einer Series-D-Finanzierungsrunde 500 Millionen US-Dollar eingesammelt\" \"Diese jüngste Finanzierung bewertet ElevenLabs mit 11 Milliarden US-Dollar\" \"Heute entwickeln wir mit einem weltweit führenden Forschungsteam Basismodelle für den gesamten Audio-Stack"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/02/04/elevenlabs-raises-500m-says-building-towards-ipo/",
     "quotes": [
      "has raised $500m in a Series D funding round\" \"valuing it at $11bn\" \"Sequoia led the Series D"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/elevenlabs-valued-at-11bn-after-series-d-megaround-20260205",
     "quotes": [
      "London-headquartered group\" \"a $500m (£368m) Series D investment"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/tender-22bn",
     "quotes": [
      "$22 billion\" \"$300 million employee tender offer\" (dated Sep 30, 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/series-c",
     "quotes": [
      "has raised $180 million in a Series C funding round\" \"This latest funding values ElevenLabs at $3.3 billion\" \"co-led by a16z and ICONIQ Growth"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/elevenlabs-scales-uk-and-us-presence",
     "quotes": [
      "With offices in New York, San Francisco, Warsaw, Bangalore, Tokyo, and London.\" \"its UK headcount grew from 18 to 68"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/elevenlabs-worldwide-london-20240814",
     "quotes": [
      "designated as its European HQ and centre for worldwide operations\" (dated 14 August 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13826669",
     "quotes": [
      "ELEVEN LABS LTD\" \"Floor 4 33 Broadwick Street, London, England, W1F 0DQ\" \"Active\" \"4 January 2022"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/series-b",
     "quotes": [
      "$80m Series B round"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://elevenlabs.io/blog/500m-arr-and-new-investors",
     "quotes": [
      "$350 million"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://tech.eu/2026/05/05/elevenlabs-adds-blackrock-nvidia-and-jamie-foxx-to-550m-series-d/",
     "quotes": [
      "It said it has now raised more than $550m in the round."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/eleven-v3",
     "quotes": [
      "We're pleased to reveal Eleven v3 (alpha) — the most expressive Text to Speech model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog",
     "quotes": [
      "Introducing ElevenLabs Image & Video"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/introducing-scribe-v2",
     "quotes": [
      "Scribe v2 is built for batch transcription, subtitling, and captioning at scale."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/introducing-music-v2",
     "quotes": [
      "Introducing Music v2, our groundbreaking new music model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/eleven-v4",
     "quotes": [
      "Today we're launching Eleven v4, our most emotive text-to-speech model yet, and its low-latency variant, Eleven v4 Turbo."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/series-d",
     "quotes": [
      "values ElevenLabs at $11 billion\"; https://elevenlabs.io/blog/tender-22bn — \"values ElevenLabs at $22 billion"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/uk-mou-and-expansion",
     "quotes": [
      "200 people across research, engineering, sales and other teams"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/11/04/europes-ai-ecosystem-rapid-growth-and-rising-global-ambitions/",
     "quotes": [
      "Founded in 2022"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Our most emotionally rich, expressive speech synthesis model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/about",
     "quotes": [
      "an AI research and product company transforming the way we interact with technology."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Natural language applications",
    "Perceptual systems",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Soho, London (W1F 0DQ)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-020",
     "name": "Sequoia Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-020",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-021",
     "name": "Lightspeed Venture Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-021",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-040",
     "name": "Andreessen Horowitz (a16z)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-040",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-041",
     "name": "ICONIQ",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-041",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-066",
     "name": "BOND",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-066",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-020",
     "name": "Sequoia Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-020",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-040",
     "name": "Andreessen Horowitz (a16z)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-040",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-041",
     "name": "ICONIQ",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-041",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-021",
     "name": "Lightspeed Venture Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-021",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-066",
     "name": "BOND",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-066",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funded_by",
     "id": "BIZ-SU-CRE-015",
     "name": "Wondercraft",
     "page": "startups",
     "href": "../startups/#org=BIZ-SU-CRE-015",
     "page_label": "Start-ups"
    },
    {
     "kind": "linked from: buys_from",
     "id": "BIZ-SU-CRE-026",
     "name": "AudioStack",
     "page": "startups",
     "href": "../startups/#org=BIZ-SU-CRE-026",
     "page_label": "Start-ups"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-006",
     "name": "Mati Staniszewski",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-006",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-006",
     "name": "Mati Staniszewski",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-006",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-007",
     "name": "Piotr Dabkowski",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-007",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-007",
     "name": "Piotr Dabkowski",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-007",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-111",
     "name": "Justin Hackney",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-111",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-SAFE-2087",
     "name": "AISI and ElevenLabs voice AI security work",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2087",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2021",
     "name": "AMP Coalition",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2021",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2021",
     "name": "AMP Coalition",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2021",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2049",
     "name": "BroadLight",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2049",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2049",
     "name": "BroadLight",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2049",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2186",
     "name": "NFDG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2186",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2186",
     "name": "NFDG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2186",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2231",
     "name": "Smash Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2231",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2231",
     "name": "Smash Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2231",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2259",
     "name": "Valor Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2259",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2259",
     "name": "Valor Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2259",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2153",
     "name": "Ethan Tandowsky",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2153",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2154",
     "name": "Ashley Kramer",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2154",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-040",
     "name": "Andreessen Horowitz (a16z)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-040",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-040",
     "name": "Andreessen Horowitz (a16z)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-040",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-066",
     "name": "BOND",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-066",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-066",
     "name": "BOND",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-066",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-041",
     "name": "ICONIQ",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-041",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-041",
     "name": "ICONIQ",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-041",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-020",
     "name": "Sequoia Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-020",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-020",
     "name": "Sequoia Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-020",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Wellington"
    },
    {
     "kind": "funded_by",
     "name": "T. Rowe Price"
    }
   ],
   "degree": 21,
   "related_ids": [
    "BIZ-LAB-14036",
    "BIZ-LAB-14037",
    "BIZ-LAB-14038",
    "BIZ-LAB-14039",
    "BIZ-LAB-14040",
    "BIZ-LAB-7021",
    "BIZ-LAB-7022",
    "BIZ-LAB-7023",
    "BIZ-LAB-7024",
    "BIZ-LAB-7025",
    "BIZ-LAB-7026",
    "BIZ-LAB-7027",
    "BIZ-LAB-7028",
    "BIZ-LAB-7029",
    "BIZ-LAB-7030",
    "BIZ-LAB-7031",
    "BIZ-LAB-7032",
    "BIZ-LAB-7033",
    "BIZ-LAB-7034",
    "BIZ-LAB-7035",
    "BIZ-LAB-7036"
   ]
  },
  {
   "id": "BIZ-LAB-006",
   "name": "Stability AI",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-08-25",
   "status_detail": "Announced a US$76m Series B from Los Angeles on 25 August 2026, bringing total funding to US$232m; tech.eu reports it has closed its London office and moved its focus to the US.",
   "one_line": "Builds open-weight generative models that make images, video and audio from text, including Stable Diffusion and Stable Audio, for media, games and music companies.",
   "description": "Stability AI was incorporated in London in November 2019 and released the Stable Diffusion image models. In June 2024 new investors led by Greycroft, Coatue and Sound Ventures backed the company, Prem Akkaraju became chief executive and Sean Parker executive chairman. On 25 August 2026 it announced a US$76m Series B with Electronic Arts, Sony Music Group, Universal Music Group and Warner Music Group, and released Stable Audio 3.0. The release was datelined Los Angeles, and tech.eu says the London office has closed. The UK company is still listed at Companies House. [Added 29 Oct 2026, master Part 2.4] In October 2022 the company described itself as \"Headquartered in London\"; this supports the uk_incorporated_hq_abroad status now that the London office has closed. [Round 4, 30 Oct 2026] status (one source, shown as a note; status unchanged): London office closed and focus shifted to the US (office in Los Angeles), reported 25 Aug 2026; founded in London 2019 — existing record's status and uk_status need review [Round 4, 30 Oct 2026] latest round: Series B $76m (Aug 2026); new investors Sony Music, Universal Music, Warner Music, Electronic Arts, AMD Ventures [Round 4, 30 Oct 2026] CEO: Prem Akkaraju (since June 2024) [Labs Round 7, 30 Oct 2026] status_now: London office closed; focus switched to the US, office in Los Angeles (reported 25 Aug 2026) [Labs Round 7, 30 Oct 2026] hq_dateline_2026: Series B release datelined Los Angeles, 25 Aug 2026 [Labs Round 7, 30 Oct 2026] chief_executive: Prem Akkaraju, chief executive since June 2024 [Labs Round 7, 30 Oct 2026] total_funding: $232M in total, including two equity rounds and convertible notes (Aug 2026) [Labs Round 7, 30 Oct 2026] round_detail (existing DEAL-LAB-013, $76M Series B, 25 Aug 2026): Other participants: AMD Ventures, Pacific Alliance Ventures, existing investors Coatue and Greycroft; Eric Schmidt and Sean Parker; funds for creative production and research [Labs Round 7, 30 Oct 2026] models_released: Stable Virtual Camera (multi-view video with 3D camera control, research preview), 18 Mar 2025 [Labs Round 7, 30 Oct 2026] models_released: Stable Audio Open Small (on-device, with Arm), 14 May 2025 [Labs Round 7, 30 Oct 2026] models_released: Stable Video 4D 2.0, 20 May 2025 [Labs Round 7, 30 Oct 2026] models_released: Stable Audio 2.5 (enterprise sound production), 10 Sep 2025 [Labs Round 7, 30 Oct 2026] models_released: Stable Audio 3.0 family (Small SFX, Small, Medium, Large), open-weight music models trained on licensed data, 20 May 2026 [Labs Round 7, 30 Oct 2026] models_released: Model producing music of more than six minutes released in 2026 (Stable Audio 3.0 per Stability AI) [Labs Round 7, 30 Oct 2026] products: Brand Studio creative production platform, 8 Apr 2026; Stability AI Solutions for enterprise, 5 Aug 2025 [Labs Round 7, 30 Oct 2026] memberships: Joined the Tech Coalition, 11 Feb 2026 [Labs Round 7, 30 Oct 2026] board: James Cameron joined the board (24 Sep 2024); Sean Parker and James Cameron on the board (Aug 2026) [Labs Round 7, 30 Oct 2026] founded: 2019 [Labs Round 7, 30 Oct 2026] model_release_cadence: 2023-11 to 2026-05: 20+ dated model or product launches on the lab's news pages, latest Stable Audio 3.0 (20 May 2026, open weights for three of four sizes) and Brand Studio (8 Apr 2026) [Labs Round 7, 30 Oct 2026] tech.eu (25 August 2026) reports the London office has closed; one source only; its releases are now datelined Los Angeles. uk_status unchanged pending Alex. [Labs Round 8, 31 Oct 2026] status_now: Led by CEO Prem Akkaraju (appointed June 2024); $76m new capital in Series B (25 Aug 2026) brought total funding to $232m; Coatue co-founder Thomas Laffont joined the board; announcement datelined Los Angeles [Labs Round 8, 31 Oct 2026] funding_total_as_published: $232m including two equity rounds and convertible notes (25 Aug 2026) [Labs Round 8, 31 Oct 2026] users_or_customers: Partners and backers named: Electronic Arts, Sony Music Group, Universal Music Group, Warner Music Group, WPP, AWS (Amazon Bedrock), NVIDIA, AMD, Arm [Labs Round 8, 31 Oct 2026] research_focus: 3D asset generation, controllable video world models, efficient autoregressive video, image layer decomposition, KV-cache compression, music autoencoders and text-to-audio (2025–26 research posts) [Labs Round 8, 31 Oct 2026] news: 2026-08-18 — Stable Audio plugin for digital audio workstations and new StableAudio.com experience (beta), up to six-minute generations — https://stability.ai/news-updates/sharing-a-new-way-to-work-with-stable-audio [Labs Round 8, 31 Oct 2026] news: 2026-02-11 — Stability AI joins the Tech Coalition — https://stability.ai/news-updates/stability-ai-joins-the-tech-coalition [Labs Round 8, 31 Oct 2026] models_released: Core Models list (updated 20 May 2026) also names SD Turbo, Japanese SDXL, Japanese Stable CLIP, Stable LM Zephyr 3B, Japanese Stable LM 2 1.6B, Japanese Stable VLM and Stable Code Instruct 3B (no dates on page; not added as products — UK build not shown for the Japanese models) [Labs Round 8, 31 Oct 2026] Listed on Labs (General-purpose AI models): reason: trains its own language models (Stable LM 2 1.6B technical report, Feb 2024) [Labs Round 8, 31 Oct 2026] Listed on Labs (Generative video): reason: trains its own video models (Stable Video Diffusion; 4Director video world-model research, Oct 2026) [Labs Round 8, 31 Oct 2026] Listed on Labs (Speech and audio AI): reason: trains its own audio models (Stable Audio 3.0 family; DAW plugin powered by its own models, Aug 2026)",
   "uk_status": "uk_incorporated_hq_abroad",
   "company": {
    "ch_number": "12295325",
    "registered_office": "Fora-United House 9, Pembridge Road, Notting Hill Gate, London, England, W11 3JY (from the Companies House search listing; company page would not open)",
    "incorporated": "4 November 2019",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "12295325",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/12295325",
    "ch_note": null,
    "ch_name": "STABILITY AI LTD",
    "legal_name": "STABILITY AI LTD",
    "status_registry": "Active",
    "sic_codes": [
     "62012",
     "62090"
    ],
    "registered_office_postcode": "W11 3JY"
   },
   "place": {
    "text": "Los Angeles (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "Outside the UK"
   },
   "people": [
    {
     "name": "Prem Akkaraju",
     "role": "CEO",
     "from": "2024-06-25",
     "source": "https://stability.ai/news/stability-ai-secures-significant-new-investment"
    },
    {
     "name": "Sean Parker",
     "role": "Executive Chairman",
     "from": "2024-06-25",
     "source": "https://stability.ai/news/stability-ai-secures-significant-new-investment"
    },
    {
     "name": "Prem Akkaraju",
     "role": "CEO",
     "from": "2024-06",
     "source": "https://tech.eu/2026/08/25/stabiityai-raises-76m-with-warner-and-sony-investing/",
     "round4": true
    },
    {
     "name": "Robert (Rob) Legato",
     "role": "Chief Pipeline Architect (from visual effects and entertainment)",
     "from": "2025-03-19",
     "source": "https://stability.ai/news-updates/introducing-our-new-chief-pipeline-architect-rob-legato",
     "round4": true
    },
    {
     "name": "Prem Akkaraju",
     "role": "Chief executive",
     "from": "2024-06",
     "source": "https://stability.ai/news-updates/stability-ai-latest-funding-backed-by-entertainment-industry-biggest-names",
     "round4": true
    },
    {
     "name": "James Cameron",
     "role": "Board member",
     "from": "2024-09-24",
     "source": "https://www.uktech.news/ai/terminator-james-cameron-stability-ai-20240924",
     "round4": true
    },
    {
     "name": "Sean Parker",
     "role": "Board member and investor",
     "from": "— (reported 2026-08-25)",
     "source": "https://tech.eu/2026/08/25/stabiityai-raises-76m-with-warner-and-sony-investing/",
     "round4": true
    },
    {
     "name": "Robert Legato",
     "role": "Chief Pipeline Architect",
     "from": "2025-03-19",
     "source": "https://stability.ai/news-updates",
     "round4": true
    },
    {
     "name": "Hanno Basse",
     "role": "Chief Technology Officer",
     "from": "2024-08-19",
     "source": "https://stability.ai/news-updates?offset=1742313654132",
     "round4": true
    },
    {
     "name": "Ryan Ellis",
     "role": "SVP, Head of Product",
     "from": "2025-03-10",
     "source": "https://stability.ai/news-updates?offset=1742313654132",
     "round4": true
    },
    {
     "name": "Prem Akkaraju",
     "role": "CEO",
     "from": "2024-06-25",
     "source": "https://stability.ai/news-updates/stability-ai-secures-significant-new-investment",
     "round4": true
    },
    {
     "name": "Sean Parker",
     "role": "Executive Chairman",
     "from": "2024-06-25",
     "source": "https://stability.ai/news-updates/stability-ai-secures-significant-new-investment",
     "round4": true
    },
    {
     "name": "Christian Laforte",
     "role": "CTO",
     "from": "null (named June 2024)",
     "source": "https://stability.ai/news-updates/stability-ai-secures-significant-new-investment",
     "round4": true
    },
    {
     "name": "Prem Akkaraju",
     "role": "Chief Executive",
     "from": "2024-06",
     "source": "https://stability.ai/news-updates/stability-ai-latest-funding-backed-by-entertainment-industry-biggest-names",
     "round4": true
    },
    {
     "name": "Thomas Laffont",
     "role": "Board member (Coatue co-founder)",
     "from": "2026-08",
     "source": "https://stability.ai/news-updates/stability-ai-latest-funding-backed-by-entertainment-industry-biggest-names",
     "round4": true
    },
    {
     "name": "Patrick Esser",
     "role": "Credited as Stable Diffusion project lead (then at Runway)",
     "from": null,
     "source": "https://stability.ai/news-updates/stable-diffusion-announcement",
     "round4": true
    },
    {
     "name": "Hanno Basse",
     "role": "Chief Technology Officer",
     "from": "2024-08-19",
     "source": "https://stability.ai/news-updates?offset=1742313654132",
     "round4": true
    },
    {
     "name": "James Cameron",
     "role": "Board director",
     "from": "2024-09-24",
     "source": "https://stability.ai/news-updates?offset=1742313654132",
     "round4": true
    },
    {
     "name": "Ryan Ellis",
     "role": "SVP, Head of Product",
     "from": "2025-03-10",
     "source": "https://stability.ai/news-updates?offset=1742313654132",
     "round4": true
    },
    {
     "name": "Robert Legato",
     "role": "Chief Pipeline Architect",
     "from": "2025-03-19",
     "source": "https://stability.ai/news",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 76000000,
     "currency": "USD",
     "date": "2026-08-25",
     "detail": "Series B; total funding US$232m including convertible notes",
     "raw": "funding_round: 76000000 USD 2026-08-25 — Series B; total funding US$232m including convertible notes",
     "amount_gbp": 55747084,
     "fx_rate": 1.3633,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3633 per £ on 2026-08-25",
     "fx_date": "2026-08-25",
     "fx_note": "",
     "txt": "US$76m",
     "gbp_txt": "£55.7m"
    },
    {
     "kind": "funding_round",
     "amount": 101000000,
     "currency": "USD",
     "date": "2022-10-17",
     "detail": "led by Coatue, Lightspeed Venture Partners and O'Shaughnessy Ventures",
     "raw": "funding_round: 101000000 USD 2022-10-17 — led by Coatue, Lightspeed Venture Partners and O'Shaughnessy Ventures",
     "amendment": true,
     "source": "https://stability.ai/news-updates/stability-ai-announces-101-million-in-funding-for-open-source-artificial-intelligence",
     "amount_gbp": 88333042,
     "fx_rate": 1.1434,
     "fx_date": "2022-10-17",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.1434 per £ on 2022-10-17",
     "fx_note": "",
     "txt": "US$101m",
     "gbp_txt": "£88.3m"
    },
    {
     "kind": "funding_round",
     "amount": null,
     "currency": null,
     "date": "2025-03-05",
     "detail": "WPP strategic investment",
     "raw": "funding_round (undisclosed) 2025-03-05 — WPP strategic investment",
     "amendment": true,
     "source": "https://stability.ai/news-updates/stability-ai-announces-101-million-in-funding-for-open-source-artificial-intelligence",
     "amount_gbp": null,
     "fx_rate": null,
     "fx_source": null,
     "fx_note": "no amount published",
     "txt": "",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": {
    "maker": "Stability AI",
    "launched": "2026-08-25",
    "what_it_does": "Stable Audio 3.0, \"a family of open-weight music models trained on fully licensed data\""
   },
   "dsit_domains": [
    "AI development and training",
    "Perceptual systems"
   ],
   "sectors": [
    "generative image",
    "video and audio models",
    "media and entertainment"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "money",
     "text": "add: funding_round: 101000000 USD 2022-10-17 — led by Coatue, Lightspeed Venture Partners and O'Shaughnessy Ventures ; funding_round (undisclosed) 2025-03-05 — WPP strategic investment"
    },
    {
     "from": "Part 2.4",
     "field": "description (addition)",
     "text": "In October 2022 the company described itself as \"Headquartered in London\"; this supports the uk_incorporated_hq_abroad status now that the London office has closed."
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-stability-ai",
   "type": "Companies",
   "category": "generative image",
   "function": "Builds open-weight generative models that make images, video and audio from text, including Stable Diffusion and Stable Audio, for media, games and music companies.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stability-ai-latest-funding-backed-by-entertainment-industry-biggest-names",
    "https://tech.eu/2026/08/25/stabiityai-raises-76m-with-warner-and-sony-investing//",
    "https://stability.ai/news/stability-ai-secures-significant-new-investment",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=stability+ai",
    "https://stability.ai/news-updates/stability-ai-announces-101-million-in-funding-for-open-source-artificial-intelligence",
    "https://tech.eu/2026/08/25/stabiityai-raises-76m-with-warner-and-sony-investing/",
    "https://stability.ai/news-updates",
    "https://stability.ai/news-updates/meet-stable-audio-3-the-model-family-built-for-artistic-experimentation-with-open-weight-models",
    "https://www.uktech.news/ai/terminator-james-cameron-stability-ai-20240924",
    "https://tech.eu/2025/11/04/europes-ai-ecosystem-rapid-growth-and-rising-global-ambitions/",
    "https://stability.ai/news-updates/stability-ai-secures-significant-new-investment",
    "https://stability.ai/news",
    "https://stability.ai/research",
    "https://stability.ai/news-updates/sharing-a-new-way-to-work-with-stable-audio",
    "https://stability.ai/core-models",
    "https://arxiv.org/abs/2402.17834",
    "https://arxiv.org/abs/2311.15127"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stability-ai-latest-funding-backed-by-entertainment-industry-biggest-names",
     "quotes": [
      "LOS ANGELES - AUGUST 25, 2026 -\" \"$76M in new capital\" \"Total funding reaches $232M"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/08/25/stabiityai-raises-76m-with-warner-and-sony-investing//",
     "quotes": [
      "has closed its London office and has switched its focus to the US, with an office in LA."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news/stability-ai-secures-significant-new-investment",
     "quotes": [
      "will assume the role of CEO effective immediately\" \"joins the Stability AI Board as Executive Chairman\" (dated June 25, 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=stability+ai",
     "quotes": [
      "STABILITY AI LTD\" \"12295325\" \"Incorporated on 4 November 2019\" \"Fora-United House 9, Pembridge Road, Notting Hill Gate, London, England, W11 3JY"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/stability-ai-announces-101-million-in-funding-for-open-source-artificial-intelligence",
     "quotes": [
      "USD $101 million in funding"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://tech.eu/2026/08/25/stabiityai-raises-76m-with-warner-and-sony-investing/",
     "quotes": [
      "[exact sentence not captured — check]"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Introducing Stable Virtual Camera: Multi-View Video Generation with 3D Camera Control"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/meet-stable-audio-3-the-model-family-built-for-artistic-experimentation-with-open-weight-models",
     "quotes": [
      "We're releasing Stable Audio 3.0, a model family with open-weights music models that are trained on fully licensed data."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/terminator-james-cameron-stability-ai-20240924",
     "quotes": [
      "Terminator director James Cameron has joined the board of directors at Stability AI as it pursues the creative sector."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/11/04/europes-ai-ecosystem-rapid-growth-and-rising-global-ambitions/",
     "quotes": [
      "London-based generative AI company founded in 2019"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/stability-ai-secures-significant-new-investment",
     "quotes": [
      "Stability AI is the backbone of the visual AI ecosystem."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news",
     "quotes": [
      "The Entertainment Industry's Biggest Names Back Stability AI in Latest Funding Round"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/research",
     "quotes": [
      "a video world model conditioned on an explicit 4D scene representation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/sharing-a-new-way-to-work-with-stable-audio",
     "quotes": [
      "Both are powered by our commercially-safe models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/core-models",
     "quotes": [
      "Stable LM Zephyr 3B\" (listed model)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/abs/2402.17834",
     "quotes": [
      "We introduce StableLM 2 1.6B, the first in a new generation of our language model series."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/abs/2311.15127",
     "quotes": [
      "a latent video diffusion model for high-resolution, state-of-the-art text-to-video and image-to-video generation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Perceptual systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Los Angeles (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-057",
     "name": "Greycroft",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-057",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-021",
     "name": "Lightspeed Venture Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-021",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-008",
     "name": "Prem Akkaraju",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-008",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-009",
     "name": "Sean Parker",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-009",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-010",
     "name": "Shan Shan Wong",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-010",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-011",
     "name": "Christian Laforte",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-011",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2162",
     "name": "James Cameron",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2162",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2163",
     "name": "Dana Settle",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2163",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2164",
     "name": "Thomas Laffont",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2164",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2191",
     "name": "Robert (Rob) Legato",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2191",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Electronic Arts"
    },
    {
     "kind": "funded_by",
     "name": "Sony Music Group"
    },
    {
     "kind": "funded_by",
     "name": "Universal Music Group"
    },
    {
     "kind": "funded_by",
     "name": "Warner Music Group"
    },
    {
     "kind": "funded_by",
     "name": "Coatue"
    },
    {
     "kind": "funded_by",
     "name": "WPP plc"
    },
    {
     "kind": "funded_by",
     "name": "AMD Ventures"
    }
   ],
   "degree": 27,
   "related_ids": [
    "BIZ-LAB-14029",
    "BIZ-LAB-14030",
    "BIZ-LAB-14031",
    "BIZ-LAB-14032",
    "BIZ-LAB-14033",
    "BIZ-LAB-14034",
    "BIZ-LAB-14035",
    "BIZ-LAB-7037",
    "BIZ-LAB-7038",
    "BIZ-LAB-7039",
    "BIZ-LAB-7040",
    "BIZ-LAB-7041",
    "BIZ-LAB-7042",
    "BIZ-LAB-7043",
    "BIZ-LAB-7044",
    "BIZ-LAB-7045",
    "BIZ-LAB-7046",
    "BIZ-LAB-7047",
    "BIZ-LAB-7048",
    "BIZ-LAB-7049",
    "BIZ-LAB-7050",
    "BIZ-LAB-7051",
    "BIZ-LAB-7052",
    "BIZ-LAB-7053",
    "BIZ-LAB-7054",
    "BIZ-LAB-7055",
    "BIZ-LAB-7056"
   ]
  },
  {
   "id": "BIZ-LAB-007",
   "name": "PolyAI",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised an US$86m Series D co-led by Georgian, Hedosophia and Khosla Ventures, announced 15 December 2025 at a reported US$750m valuation. Companies House shows POLYAI LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Builds voice agents, running on its own dialogue models, that answer customer phone calls for hotels, banks, shops and other companies.",
   "description": "PolyAI was incorporated in London in November 2017. It builds voice agents for large companies' customer phone lines and publishes its own dialogue models, listed on its site as Dialog-Raven-3.5 and Dialog-RSN-1, the latter described as a reasoning model for real-time dialogue. It raised US$50m in a Series C in May 2024 and US$86m in a Series D in December 2025. It builds agents for one task, customer calls; Alex may prefer the applications page. [Labs Round 7, 30 Oct 2026] models_released: Raven, PolyAI's own LLM family for customer service; Raven 3.5 post-trained upgrade, 19 Mar 2026 (Raven V3 now deprecated); trained on over a billion enterprise conversations [Labs Round 7, 30 Oct 2026] models_released: Dialog-RSN-1, real-time model that perceives and responds to audio directly, latency 280–500 ms, 30 Jul 2026 [Labs Round 7, 30 Oct 2026] products: Agentic Dialog Platform opened to every enterprise builder, 18 May 2026 [Labs Round 7, 30 Oct 2026] valuation_reported: $750 million at $86M Series D (15 Dec 2025) [Labs Round 7, 30 Oct 2026] total_funding: More than $200 million in total (Dec 2025) [Labs Round 7, 30 Oct 2026] round_detail (existing DEAL-LAB-016, $86M Series D): Co-leads Georgian, Hedosophia, Khosla Ventures; also NVentures, British Business Bank, Sands Capital, Squarepoint Ventures, Citi Ventures, Point72 Ventures. Date 15 Dec 2025 confirmed by company post and SiliconANGLE (a second company post is bylined 17 Dec 2025) [Labs Round 7, 30 Oct 2026] revenue_reported: Revenue $8.9M in 12 months to 31 Jan 2024; just over $15M in 12 months to 31 Jan 2025 [Labs Round 7, 30 Oct 2026] users_or_customers: 100+ enterprise customers; over 2,000 live deployments in 45 languages; more than 25 countries (Dec 2025); named customers PG&E, UniCredit (Zagrebačka Banka), Golden Nugget, Fogo de Chão, Howard Brown Health, Quicken [Labs Round 7, 30 Oct 2026] chief_executive: Nikola Mrkšić, co-founder and chief executive [Labs Round 7, 30 Oct 2026] own_model: Raven (current Raven 3.5; V3 deprecated), sub-300ms median latency, 24+ languages; trained on more than a billion enterprise conversations (18 May 2026) [Labs Round 8, 31 Oct 2026] status_now: Independent; $86m Series D (15 Dec 2025) took total funding above $200m; trains its own dialog model Raven (Raven 3.5, Mar 2026) [Labs Round 8, 31 Oct 2026] users_or_customers: 100+ enterprises; 2,000+ live deployments across 45 languages and 25+ countries (15 Dec 2025) [Labs Round 8, 31 Oct 2026] research_focus: Post-training its own dialog LLM for customer service: supervised fine-tuning then combined GRPO and DPO reinforcement, trained on millions of anonymised conversations from banking, healthcare, retail and hospitality, inside the live-call agent harness; 23 languages; sub-300ms latency; research led by Matt Henderson (VP of Research), Raven 3.5 work led by Paula Czarnowska [Labs Round 8, 31 Oct 2026] news: 2026-03-19 — Raven 3.5 beats GPT-5 for customer service (PolyAI's own benchmarks) — https://poly.ai/blog/PolyAI-Raven-35-beats-GPT5 [Labs Round 8, 31 Oct 2026] valuation_reported: $750m (Dec 2025; in page metadata of the Series D announcement, not the article body) [Labs Round 8, 31 Oct 2026] uk_government_links: British Business Bank (state-owned) put £15m into the $86m (£64.3m) Series D, 15 Dec 2025; customers named Volkswagen, FedEx and Foot Locker [Labs Round 8, 31 Oct 2026] what_it_does: Raven LLM \"trained end-to-end on more than a billion enterprise conversations\"; Raven 3.5 recommended, Raven V3 deprecated (routes to 3.5); sub-300 ms median latency and 24+ languages (Raven docs); 45 languages offered as standard (technology page)",
   "uk_status": "uk",
   "company": {
    "ch_number": "11048129",
    "registered_office": "Part Lower Garden Floor, Sheldon Square, London, England, W2 6HY",
    "incorporated": "6 November 2017",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "11048129",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11048129",
    "ch_note": null,
    "ch_name": "POLYAI LIMITED",
    "legal_name": "POLYAI LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "62012"
    ],
    "registered_office_postcode": "W2 6HY"
   },
   "place": {
    "text": "Sheldon Square, London (W2 6HY)",
    "postcode": "W2 6HY",
    "lat": 51.519699,
    "lng": -0.1807,
    "region": "England: London",
    "admin_district": "Westminster",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "null (not re-verified this session; see People table)",
     "role": null,
     "from": null,
     "source": null
    },
    {
     "name": "Nikola Mrkšić",
     "role": "Co-founder and chief executive",
     "from": null,
     "source": "https://poly.ai/blog/polyai-raises-86-million-series-d",
     "round4": true
    },
    {
     "name": "Nikola Mrkšić",
     "role": "Co-founder & CEO",
     "from": "null",
     "source": "https://poly.ai/blog/polyai-raises-86-million-series-d",
     "round4": true
    },
    {
     "name": "Shawn Wen",
     "role": "Co-Founder and CTO",
     "from": "null",
     "source": "https://poly.ai/blog/polyai-makes-four-senior-hires",
     "round4": true
    },
    {
     "name": "Nikola Mrkšić",
     "role": "Co-founder and Chief Executive",
     "from": null,
     "source": "https://poly.ai/blog/polyai-raises-86m-to-transform-how-enterprises-talk-to-their-customers",
     "round4": true
    },
    {
     "name": "Matt Henderson",
     "role": "VP of Research",
     "from": null,
     "source": "https://poly.ai/blog/PolyAI-Raven-35-beats-GPT5",
     "round4": true
    },
    {
     "name": "Paula Czarnowska",
     "role": "Led development of Raven 3.5 (title not given)",
     "from": null,
     "source": "https://poly.ai/blog/PolyAI-Raven-35-beats-GPT5",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 86000000,
     "currency": "USD",
     "date": "2025-12-15",
     "detail": "Series D co-led by Georgian, Hedosophia and Khosla Ventures",
     "raw": "funding_round: 86000000 USD 2025-12-15 — Series D co-led by Georgian, Hedosophia and Khosla Ventures",
     "amount_gbp": 64207854,
     "fx_rate": 1.3394,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3394 per £ on 2025-12-15",
     "fx_date": "2025-12-15",
     "fx_note": "",
     "txt": "US$86m",
     "gbp_txt": "£64.2m"
    },
    {
     "kind": "valuation_reported",
     "amount": 750000000,
     "currency": "USD",
     "date": "2025-12-15",
     "detail": "\"reported\" valuation, company page meta description",
     "raw": "valuation_reported: 750000000 USD 2025-12-15 — \"reported\" valuation, company page meta description",
     "amount_gbp": 559952217,
     "fx_rate": 1.3394,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3394 per £ on 2025-12-15",
     "fx_date": "2025-12-15",
     "fx_note": "",
     "txt": "US$750m",
     "gbp_txt": "£560m"
    },
    {
     "kind": "funding_round",
     "amount": 50000000,
     "currency": "USD",
     "date": "2024-05-16",
     "detail": "Series C with Hedosophia, NVentures and Zendesk as new investors",
     "raw": "funding_round: 50000000 USD 2024-05-16 — Series C with Hedosophia, NVentures and Zendesk as new investors",
     "amount_gbp": 39469530,
     "fx_rate": 1.2668,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2668 per £ on 2024-05-16",
     "fx_date": "2024-05-16",
     "fx_note": "",
     "txt": "US$50m",
     "gbp_txt": "£39.5m"
    },
    {
     "kind": "funding_round",
     "amount": 14000000,
     "currency": "USD",
     "date": "2021-09-09",
     "detail": "Khosla Ventures",
     "raw": "funding_round: 14000000 USD 2021-09-09 — Khosla Ventures",
     "amendment": true,
     "source": "https://poly.ai/blog/polyai-raises-40m-series-b-to-help-put-superhuman-voice-assistants-behind-every-customer-service-line",
     "amount_gbp": 10112684,
     "fx_rate": 1.3844,
     "fx_date": "2021-09-09",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3844 per £ on 2021-09-09",
     "fx_note": "",
     "txt": "US$14m",
     "gbp_txt": "£10.1m"
    },
    {
     "kind": "funding_round",
     "amount": 40000000,
     "currency": "USD",
     "date": "2022-09-07",
     "detail": "Series B led by Georgian",
     "raw": "funding_round: 40000000 USD 2022-09-07 — Series B led by Georgian",
     "amendment": true,
     "source": "https://poly.ai/blog/polyai-raises-40m-series-b-to-help-put-superhuman-voice-assistants-behind-every-customer-service-line",
     "amount_gbp": 34882707,
     "fx_rate": 1.1467,
     "fx_date": "2022-09-07",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.1467 per £ on 2022-09-07",
     "fx_note": "",
     "txt": "US$40m",
     "gbp_txt": "£34.9m"
    }
   ],
   "site": null,
   "product": {
    "maker": "PolyAI",
    "launched": null,
    "what_it_does": "Dialog-RSN-1, \"the fastest reasoning model for real-time, complex dialog\""
   },
   "dsit_domains": [
    "Natural language applications",
    "Autonomous and agent systems"
   ],
   "sectors": [
    "voice agents",
    "customer service"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "money",
     "text": "add: funding_round: 14000000 USD 2021-09-09 — Khosla Ventures ; funding_round: 40000000 USD 2022-09-07 — Series B led by Georgian"
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-polyai",
   "type": "Companies",
   "category": "voice agents",
   "function": "Builds voice agents, running on its own dialogue models, that answer customer phone calls for hotels, banks, shops and other companies.",
   "affiliation": "Labs",
   "sources": [
    "https://poly.ai/blog/polyai-raises-86m-to-transform-how-enterprises-talk-to-their-customers",
    "https://poly.ai/blog/polyai-raises-50-million-series-c",
    "https://find-and-update.company-information.service.gov.uk/company/11048129",
    "https://find-and-update.company-information.service.gov.uk/company/11048129",
    "https://www.uktech.news/ai/polyai-funding-50m-20240516",
    "https://poly.ai/blog/polyai-raises-40m-series-b-to-help-put-superhuman-voice-assistants-behind-every-customer-service-line",
    "https://poly.ai/blog/PolyAI-Raven-35-beats-GPT5",
    "https://siliconangle.com/2026/07/30/polyai-launches-new-real-time-voice-conversation-model-make-ai-driven-calls-human/",
    "https://poly.ai/blog/agentic-dialog-platform-open-to-builders",
    "https://siliconangle.com/2025/12/15/call-center-chatbot-startup-polyai-raises-86m-750m-valuation/",
    "https://poly.ai/blog/polyai-raises-86-million-series-d",
    "https://docs.poly.ai/behavior/models/raven",
    "https://poly.ai/blog/polyai-makes-four-senior-hires",
    "https://poly.ai/in-the-media",
    "https://www.uktech.news/ai/polyai-funding-uk-government-20251215"
   ],
   "source_quotes": [
    {
     "url": "https://poly.ai/blog/polyai-raises-86m-to-transform-how-enterprises-talk-to-their-customers",
     "quotes": [
      "PolyAI has raised $86 million in Series D funding, co-led by Georgian, Hedosophia, and Khosla Ventures.\" \"PolyAI raised an $86 million Series D in December 2025 at a reported $750 million valuation"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://poly.ai/blog/polyai-raises-50-million-series-c",
     "quotes": [
      "$50 million\" Series C; \"Hedosophia, NVentures — NVIDIA's venture capital arm — and Zendesk\" (dated 16 May 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11048129",
     "quotes": [
      "POLYAI LIMITED\" \"Part Lower Garden Floor, Sheldon Square, London, England, W2 6HY\" \"Active\" \"6 November 2017"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11048129",
     "quotes": [
      "POLYAI LIMITED",
      "Part Lower Garden Floor, Sheldon Square, London, England, W2 6HY",
      "Active",
      "6 November 2017",
      "62012 - Business and domestic software development"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/polyai-funding-50m-20240516",
     "quotes": [
      "Founded in 2017 as a spinout from the University of Cambridge\" (16 May 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://poly.ai/blog/polyai-raises-40m-series-b-to-help-put-superhuman-voice-assistants-behind-every-customer-service-line",
     "quotes": [
      "PolyAI raises $40m Series B"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://poly.ai/blog/PolyAI-Raven-35-beats-GPT5",
     "quotes": [
      "Raven 3.5 represents a major post-training upgrade to PolyAI's in-house LLM."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://siliconangle.com/2026/07/30/polyai-launches-new-real-time-voice-conversation-model-make-ai-driven-calls-human/",
     "quotes": [
      "capable of directly perceiving and responding to audio"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://poly.ai/blog/agentic-dialog-platform-open-to-builders",
     "quotes": [
      "Today, we're opening our Agentic Dialog Platform to every builder across the enterprise."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://siliconangle.com/2025/12/15/call-center-chatbot-startup-polyai-raises-86m-750m-valuation/",
     "quotes": [
      "raised $86 million in late-stage funding at a $750 million valuation"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://poly.ai/blog/polyai-raises-86-million-series-d",
     "quotes": [
      "PolyAI has surpassed $200 million in total funding."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://docs.poly.ai/behavior/models/raven",
     "quotes": [
      "PolyAI's proprietary LLM family, built for customer service across voice and chat."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://poly.ai/blog/polyai-makes-four-senior-hires",
     "quotes": [
      "Toronto is one of the world's great AI talent hubs, and our North American customers are scaling fast."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://poly.ai/in-the-media",
     "quotes": [
      "Conversational AI startup PolyAI raises $86M at a $750M valuation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/polyai-funding-uk-government-20251215",
     "quotes": [
      "We are investing in companies like PolyAI so we can grow the economy and create good jobs."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Natural language applications",
    "Autonomous and agent systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Sheldon Square, London (W2 6HY)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-029",
     "name": "Hedosophia",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-029",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-030",
     "name": "Khosla Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-030",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-031",
     "name": "Georgian",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-031",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-073",
     "name": "Point72 Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-073",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-031",
     "name": "Georgian",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-031",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-029",
     "name": "Hedosophia",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-029",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-030",
     "name": "Khosla Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-030",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "spun_out_of",
     "id": "UNI:cambridge",
     "name": "Universities: cambridge",
     "page": "universities",
     "href": "https://hazy-wreath-hez6.here.now/cambridge/",
     "page_label": "UK Universities AI Universe (new tab)"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-219",
     "name": "Matt Henderson",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-219",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-012",
     "name": "Nikola Mrkšić",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-012",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-012",
     "name": "Nikola Mrkšić",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-012",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-013",
     "name": "Tsung-Hsien (Shawn) Wen",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-013",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-013",
     "name": "Tsung-Hsien (Shawn) Wen",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-013",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-014",
     "name": "Pei-Hao Su",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-014",
     "page_label": "Talent"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-HMT-004",
     "name": "NS&I PolyAI voice agents",
     "page": "government",
     "href": "../../government/hm-treasury/#org=GOV-HMT-004",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-MOJ-012",
     "name": "PolyAI / Luna (Prison Enquiry Centre voice assistant)",
     "page": "government",
     "href": "../../government/justice/#org=GOV-MOJ-012",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2062",
     "name": "Citi Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2062",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2062",
     "name": "Citi Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2062",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2223",
     "name": "Sands Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2223",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2223",
     "name": "Sands Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2223",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2235",
     "name": "Squarepoint Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2235",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2235",
     "name": "Squarepoint Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2235",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-SVC-2058",
     "name": "Spärck AI Scholarships",
     "page": "services",
     "href": "../services/#org=BIZ-SVC-2058",
     "page_label": "Services and skills"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-031",
     "name": "Georgian",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-031",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-031",
     "name": "Georgian",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-031",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-029",
     "name": "Hedosophia",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-029",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-029",
     "name": "Hedosophia",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-029",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-030",
     "name": "Khosla Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-030",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-030",
     "name": "Khosla Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-030",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-073",
     "name": "Point72 Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-073",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-073",
     "name": "Point72 Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-073",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "NVentures (NVIDIA)"
    },
    {
     "kind": "funded_by",
     "name": "Citi Ventures"
    }
   ],
   "degree": 6,
   "related_ids": [
    "BIZ-LAB-14075",
    "BIZ-LAB-14076",
    "BIZ-LAB-14077",
    "BIZ-LAB-14078",
    "BIZ-LAB-7078",
    "BIZ-LAB-7079"
   ]
  },
  {
   "id": "BIZ-LAB-008",
   "name": "PhysicsX",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-27",
   "status_detail": "Expanded its partnership with Fortescue on 27 October 2026, after opening an Asia-Pacific hub in Singapore (8 October 2026) and raising a US$300m Series C at about US$2.4bn led by Temasek (8 June 2026).",
   "one_line": "Builds AI models that predict how physical products such as aircraft parts, cars and yachts will behave, so engineers can design and test them faster.",
   "description": "PhysicsX was incorporated in London in August 2019 and was co-founded by Robin Tuluie and Jacomo Corbo, both former Formula 1 engineers. It builds AI simulation software and is developing what it calls Large Physics Models, pre-trained physics models; in August 2026 it published PX-Car-Aero-v1 for car aerodynamics. It raised a US$32m Series A (November 2023), a US$135m Series B led by Atomico (June 2025) extended to more than US$155m at nearly US$1bn (November 2025), and a US$300m Series C led by Temasek (June 2026). It says it is headquartered in the UK with offices in London, New York and Singapore and more than 300 staff. [Round 4, 30 Oct 2026] latest round: $300m at $2.4bn valuation, 8 Jun 2026; led by Temasek; Applied Materials, NVIDIA, Atomico, General Catalyst, Siemens, M&G [Round 4, 30 Oct 2026] headcount: about 350 (June 2026) [Round 4, 30 Oct 2026] CEO: Jacomo Corbo, co-founder [Labs Round 7, 30 Oct 2026] valuation_reported: $2.4bn (2026-06-08), up from nearly $1bn at the Series B; about $500m raised in total [Labs Round 7, 30 Oct 2026] headcount: about 350 employees (2026-06-08) [Labs Round 7, 30 Oct 2026] rounds: 2026-06-08 $300m led by Temasek; existing Applied Materials, Nvidia, Atomico, General Catalyst, Siemens; new M&G and Intrepid Growth Partners. tech.eu describes the previous round as a $170m Series B (site holds $135m for 2025-06-22 — lead to reconcile) [Labs Round 7, 30 Oct 2026] offices: London HQ; Singapore office and US expansion planned with 2026 funds [Labs Round 7, 30 Oct 2026] rounds: UKTN calls the 2026-06-09 $300m (£225m) round an oversubscribed Series C and adds existing investors July Fund, NGP and Radius [Labs Round 7, 30 Oct 2026] model_line: LGM-Aero and Ai.rplane (4 Dec 2024); PX-Car-Aero-v1 (7 Aug 2026); private Large Physics Models on CoreWeave (11 Mar 2026) [Labs Round 7, 30 Oct 2026] 2025 Series B: US$135m on the site, US$170m per tech.eu (8 June 2026). 2026 round: US$300m at about US$2.4bn (company release), which UKTN calls a Series C. [Labs Round 8, 31 Oct 2026] models_released: PXTransolver (~28M parameters, Transolver-based) trained on PXNetCar (20,486 geometries with RANS simulations) plus public datasets (25,761 total) (2026-03-03) [Labs Round 8, 31 Oct 2026] research_leads: Dael Williamson — Chief Technology and Platform Officer (2026-10-01) [Labs Round 8, 31 Oct 2026] research_leads: Chris Wigley — COO (2025-11-12) [Labs Round 8, 31 Oct 2026] offices: London, New York, Singapore (Asia-Pacific hub 2026-10-08) [Labs Round 8, 31 Oct 2026] awards: 2025 Deloitte Technology Fast 50 (2025-11-07) [Labs Round 8, 31 Oct 2026] news: 2026-02-04 — \"From Compute to Capability: PhysicsX Goes Live on the European Industrial AI Cloud\" — https://www.physicsx.ai/newsroom/from-compute-to-capability-physicsx-goes-live-on-the-european-industrial-ai-cloud [Labs Round 8, 31 Oct 2026] news: 2026-03-16 — \"PhysicsX Announces Advancement to Open Standards for Physics AI, Powered by NVIDIA\" — https://www.physicsx.ai/newsroom/physicsx-announces-advancement-to-open-standards-for-physics-ai-powered-by-nvidia [Labs Round 8, 31 Oct 2026] news: 2026-10-21 — PhysicsX and GB1 America's Cup yacht design shown at NVIDIA GTC Berlin — https://www.physicsx.ai/newsroom/physicsx-and-gb1-unveil-new-ai-powered-approach-to-americas-cup-yacht-design-at-nvidia-gtc-berlin [Labs Round 9, 31 Oct 2026] Alex's Labs file (line 180, dated 2026-10-08): the file adds that the Singapore hub includes industrial work with Seatrium (file cites physicsx.ai).",
   "uk_status": "uk",
   "company": {
    "ch_number": "12134466",
    "registered_office": "Victoria House, 1, Leonard Circus, London, England, EC2A 4DQ",
    "incorporated": "1 August 2019",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": "more than 300, 2026-06-08, company release",
    "ch_number_clean": "12134466",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/12134466",
    "ch_note": null,
    "ch_name": "PHYSICSX LIMITED",
    "legal_name": "PHYSICSX LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "71122",
     "72190"
    ],
    "registered_office_postcode": "EC2A 4DQ",
    "previous_names": [
     "MOTODYNAMICS LTD (2019–2020)"
    ]
   },
   "place": {
    "text": "Leonard Circus, London (EC2A 4DQ)",
    "postcode": "EC2A 4DQ",
    "lat": 51.524861,
    "lng": -0.083605,
    "region": "England: London",
    "admin_district": "Hackney",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Jacomo Corbo",
     "role": "Co-founder and CEO; director from 2023-01-01",
     "from": null,
     "source": "https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering"
    },
    {
     "name": "Robin Tuluie",
     "role": "Founder and Chairman; director from 2019-08-01",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/12134466/officers"
    },
    {
     "name": "Jacomo Corbo",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://tech.eu/2026/06/08/physicsx-raises-300m-at-24bn-valuation/",
     "round4": true
    },
    {
     "name": "Dael Williamson",
     "role": "Chief Technology and Platform Officer",
     "from": "2026-10-01",
     "source": "https://www.physicsx.ai/newsroom",
     "round4": true
    },
    {
     "name": "Chris Wigley",
     "role": "Chief Operating Officer",
     "from": "2025-11-12",
     "source": "https://www.physicsx.ai/newsroom",
     "round4": true
    },
    {
     "name": "Jacomo Corbo",
     "role": "Co-Founder & CEO",
     "from": "null",
     "source": "https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering",
     "round4": true
    },
    {
     "name": "Robin Tuluie",
     "role": "Founder and Chairman",
     "from": "null",
     "source": "https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering",
     "round4": true
    },
    {
     "name": "Dael Williamson",
     "role": "Chief Technology and Platform Officer",
     "from": "2026-10-01",
     "source": "https://www.physicsx.ai/newsroom",
     "round4": true
    },
    {
     "name": "Chris Wigley",
     "role": "COO",
     "from": "2025-11-12",
     "source": "https://www.physicsx.ai/newsroom",
     "round4": true
    },
    {
     "name": "Dael Williamson",
     "role": "Chief Technology and Platform Officer",
     "from": "2026-10-01",
     "source": "https://www.physicsx.ai/newsroom",
     "round4": true
    },
    {
     "name": "Chris Wigley",
     "role": "Chief Operating Officer",
     "from": "2025-11-12",
     "source": "https://www.physicsx.ai/newsroom",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 300000000,
     "currency": "USD",
     "date": "2026-06-08",
     "detail": "Series C led by Temasek",
     "raw": "funding_round: 300000000 USD 2026-06-08 — Series C led by Temasek",
     "amount_gbp": 224820144,
     "fx_rate": 1.3344,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3344 per £ on 2026-06-08",
     "fx_date": "2026-06-08",
     "fx_note": "",
     "txt": "US$300m",
     "gbp_txt": "£224.8m"
    },
    {
     "kind": "valuation_reported",
     "amount": 2400000000,
     "currency": "USD",
     "date": "2026-06-08",
     "detail": "\"approximately\"",
     "raw": "valuation_reported: 2400000000 USD 2026-06-08 — \"approximately\"",
     "amount_gbp": 1798561151,
     "fx_rate": 1.3344,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3344 per £ on 2026-06-08",
     "fx_date": "2026-06-08",
     "fx_note": "",
     "txt": "US$2.40bn",
     "gbp_txt": "£1.80bn"
    },
    {
     "kind": "funding_round",
     "amount": 135000000,
     "currency": "USD",
     "date": "2025-06-22",
     "detail": "Series B led by Atomico",
     "raw": "funding_round: 135000000 USD 2025-06-22 — Series B led by Atomico",
     "amount_gbp": 100259933,
     "fx_rate": 1.3465,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3465 per £ on 2025-06-20",
     "fx_date": "2025-06-20",
     "fx_note": "rate for 2025-06-20, the previous business day",
     "txt": "US$135m",
     "gbp_txt": "£100.3m"
    },
    {
     "kind": "valuation_reported",
     "amount": 1000000000,
     "currency": "USD",
     "date": "2025-11-19",
     "detail": "\"nearly USD 1B\" at Series B extension (extension amount undisclosed; total Series B \"more than USD 155M\")",
     "raw": "valuation_reported: 1000000000 USD 2025-11-19 — \"nearly USD 1B\" at Series B extension (extension amount undisclosed; total Series B \"more than USD 155M\")",
     "amount_gbp": 764525994,
     "fx_rate": 1.308,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.308 per £ on 2025-11-19",
     "fx_date": "2025-11-19",
     "fx_note": "",
     "txt": "US$1bn",
     "gbp_txt": "£764.5m"
    },
    {
     "kind": "funding_round",
     "amount": 32000000,
     "currency": "USD",
     "date": "2023-11-27",
     "detail": "Series A led by General Catalyst",
     "raw": "funding_round: 32000000 USD 2023-11-27 — Series A led by General Catalyst",
     "amount_gbp": 25382724,
     "fx_rate": 1.2607,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2607 per £ on 2023-11-27",
     "fx_date": "2023-11-27",
     "fx_note": "",
     "txt": "US$32m",
     "gbp_txt": "£25.4m"
    }
   ],
   "site": null,
   "product": {
    "maker": "PhysicsX",
    "launched": "2026-08-07",
    "what_it_does": "PX-Car-Aero-v1, a physics AI model for car aerodynamics"
   },
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation"
   ],
   "sectors": [
    "engineering simulation",
    "manufacturing",
    "aerospace",
    "defence"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-physicsx",
   "type": "Companies",
   "category": "engineering simulation",
   "function": "Builds AI models that predict how physical products such as aircraft parts, cars and yachts will behave, so engineers can design and test them faster.",
   "affiliation": "Labs",
   "sources": [
    "https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering",
    "https://tech.eu/2026/06/08/physicsx-raises-300m-at-24bn-valuation/",
    "https://www.uktech.news/funding/uk-tech-funding-roundup-this-weeks-deals-from-physicsx-to-record-os-20260612",
    "https://www.physicsx.ai/newsroom/physicsx-raises-135m-series-b-to-usher-in-a-new-era-of-ai-native-engineering-and-manufacturing",
    "https://www.physicsx.ai/newsroom/physicsx-announces-extension-to-series-b-round",
    "https://www.physicsx.ai/newsroom/physicsx-raises-32m-to-give-engineers-ai-superpowers-to-accelerate-design-of-advanced-technologies",
    "https://www.physicsx.ai/newsroom",
    "https://find-and-update.company-information.service.gov.uk/company/12134466",
    "https://www.uktech.news/ai/physicsx-raises-225m-to-accelerate-ai-for-industrial-engineering-20260609",
    "https://www.physicsx.ai/newsroom/introducing-lgm-aero-genai-for-aero-engineering-and-airplane-showcase-application-for-aerostructures",
    "https://www.physicsx.ai/newsroom/physicsx-launches-asia-pacific-hub-in-singapore-to-scale-ai-powered-industrial-engineering-across-the-region",
    "https://www.physicsx.ai/newsroom/siemens-physicsx-collaborate-to-build-ai-based-deep-physics-simulation",
    "https://www.physicsx.ai/newsroom/scaling-physics-ai-for-automotive-aerodynamics"
   ],
   "source_quotes": [
    {
     "url": "https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering",
     "quotes": [
      "London, UK — 8 June 2026\" \"oversubscribed $300 million Series C financing\" \"at a valuation of approximately $2.4 billion\" \"The round is led by Temasek"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/06/08/physicsx-raises-300m-at-24bn-valuation/",
     "quotes": [
      "a London startup using AI to transform engineering\" \"Founded by two former Formula 1 engineers\" \"employs around 350 people"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/funding/uk-tech-funding-roundup-this-weeks-deals-from-physicsx-to-record-os-20260612",
     "quotes": [
      "PhysicsX – £225m\" \"HQ: London"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/physicsx-raises-135m-series-b-to-usher-in-a-new-era-of-ai-native-engineering-and-manufacturing",
     "quotes": [
      "$135 million\" Series B led by \"Atomico\" (dated June 22, 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/physicsx-announces-extension-to-series-b-round",
     "quotes": [
      "more than USD 155M\" \"valuing the company at nearly USD 1B\" (dated November 19, 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/physicsx-raises-32m-to-give-engineers-ai-superpowers-to-accelerate-design-of-advanced-technologies",
     "quotes": [
      "$32M\" \"Series A round\" \"General Catalyst\" (dated November 27, 2023)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom",
     "quotes": [
      "PhysicsX and Fortescue Expand Partnership to Accelerate Industrial Innovation with AI\" (October 27, 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/12134466",
     "quotes": [
      "PHYSICSX LIMITED\" \"Active\" \"1 August 2019"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/physicsx-raises-225m-to-accelerate-ai-for-industrial-engineering-20260609",
     "quotes": [
      "This financing lets us put that capability in the hands of more engineers"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/introducing-lgm-aero-genai-for-aero-engineering-and-airplane-showcase-application-for-aerostructures",
     "quotes": [
      "It reduces the time to investigate aerospace concepts from months to hours."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/physicsx-launches-asia-pacific-hub-in-singapore-to-scale-ai-powered-industrial-engineering-across-the-region",
     "quotes": [
      "Some of the most consequential applications of AI over the coming decade will be in the physical world"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/siemens-physicsx-collaborate-to-build-ai-based-deep-physics-simulation",
     "quotes": [
      "AI represents a truly transformative opportunity for the simulation community."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/scaling-physics-ai-for-automotive-aerodynamics",
     "quotes": [
      "The model has ~28M parameters"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Leonard Circus, London (EC2A 4DQ)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-004",
     "name": "British Growth Partnership",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-004",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-011",
     "name": "Atomico",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-011",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-038",
     "name": "General Catalyst",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-038",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-039",
     "name": "M&G Investments (Catalyst)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-039",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-063",
     "name": "Siemens (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-063",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-064",
     "name": "Applied Materials (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-064",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-011",
     "name": "Atomico",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-011",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-038",
     "name": "General Catalyst",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-038",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-063",
     "name": "Siemens (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-063",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-064",
     "name": "Applied Materials (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-064",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-039",
     "name": "M&G Investments (Catalyst)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-039",
     "page_label": "Investors"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-INV-063",
     "name": "Siemens (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-063",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-015",
     "name": "Jacomo Corbo",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-015",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-015",
     "name": "Jacomo Corbo",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-015",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-016",
     "name": "Robin Tuluie",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-016",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-016",
     "name": "Robin Tuluie",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-016",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2140",
     "name": "Intrepid Growth Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2140",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2140",
     "name": "Intrepid Growth Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2140",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2149",
     "name": "July Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2149",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2149",
     "name": "July Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2149",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2118",
     "name": "Alexander Dreismann",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2118",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founded_by",
     "id": "BIZ-TAL-2119",
     "name": "Nico Haag",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2119",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2119",
     "name": "Nico Haag",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2119",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2120",
     "name": "Michalis Michaelides",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2120",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2121",
     "name": "Stephen Rose",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2121",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2122",
     "name": "Mark Huntington",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2122",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2123",
     "name": "Ismail Negm",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2123",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2124",
     "name": "Sophie Scannell",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2124",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2125",
     "name": "Gui Braccialli",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2125",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2126",
     "name": "James Mulligan",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2126",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2127",
     "name": "Amir Vaziri",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2127",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2128",
     "name": "Jim Baum",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2128",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2129",
     "name": "Jeremy Palmer",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2129",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2130",
     "name": "Douglas Boubert",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2130",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2131",
     "name": "James-Michael Leahy",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2131",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2132",
     "name": "Sanmitra Ghosh",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2132",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-064",
     "name": "Applied Materials (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-064",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-064",
     "name": "Applied Materials (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-064",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-011",
     "name": "Atomico",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-011",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-011",
     "name": "Atomico",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-011",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-038",
     "name": "General Catalyst",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-038",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-038",
     "name": "General Catalyst",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-038",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-039",
     "name": "M&G Investments (Catalyst)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-039",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-039",
     "name": "M&G Investments (Catalyst)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-039",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-063",
     "name": "Siemens (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-063",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-063",
     "name": "Siemens (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-063",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Fortescue"
    },
    {
     "kind": "partner_of",
     "name": "Deutsche Telekom"
    }
   ],
   "degree": 4,
   "related_ids": [
    "BIZ-LAB-7086",
    "BIZ-LAB-7087",
    "BIZ-LAB-7088",
    "BIZ-LAB-7089"
   ]
  },
  {
   "id": "BIZ-LAB-009",
   "name": "Latent Labs",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-07-15",
   "status_detail": "Opened its Latent-Y antibody-design agent to researchers worldwide on 15 July 2026, after announcing it on 23 March 2026.",
   "one_line": "Builds AI models and an AI agent that design new proteins, such as antibodies, for drug and biotechnology companies.",
   "description": "Latent Labs was incorporated in June 2023 and founded by Simon Kohl, who co-led DeepMind's protein design team. It describes itself as an AI foundation model builder. It came out of stealth on 13 February 2025 with US$50m in total funding, including a US$40m Series A co-led by Radical Ventures and Sofinnova Partners. It released the Latent-X protein binder model in July 2025, Latent-X2 for antibodies in December 2025, and Latent-Y, an AI agent that designs antibodies from a text prompt, in March 2026. It is based in London and San Francisco, with a London office at White Collar Factory, Old Street Yard. [Round 4, 30 Oct 2026] funding: $50m total including $40m Series A (Feb 2025), co-led by Radical Ventures and Sofinnova Partners; angels Jeff Dean, Aidan Gomez, Mati Staniszewski [Round 4, 30 Oct 2026] founder / places: Dr Simon Kohl, former co-lead of DeepMind's protein design team; labs in London and San Francisco [Labs Round 7, 30 Oct 2026] named_in_policy: Named in the GOV.UK AI for Science Strategy (2025-11-20) as a homegrown AI-for-science start-up (with CuspAI, DaltonTx and Orbital) [Labs Round 7, 30 Oct 2026] rounds: $50m total on emerging from stealth 2025-02-13, incl. $40m Series A co-led by Radical Ventures and Sofinnova Partners; Flying Fish and Isomer joined; existing 8VC, Kindred Capital, Pillar VC; angels Jeff Dean, Aidan Gomez, Mati Staniszewski [Labs Round 7, 30 Oct 2026] offices: London and San Francisco, with lab facilities to validate designs experimentally [Labs Round 7, 30 Oct 2026] models_released: Latent-X (2025-07-22, protein binder design, free web platform); Latent-X2 (2025-12-16, antibodies and macrocycles, for selected partners); Latent-Y (2026-03-23, autonomous antibody design agent built on Latent-X2; opened to researchers worldwide 2026-07-15) [Labs Round 7, 30 Oct 2026] papers: Technical reports: arXiv 2507.19375 \"Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design\"; arXiv 2512.20263 \"Drug-like antibodies with low immunogenicity in human panels designed with Latent-X2\"; arXiv 2603.29727 \"Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design\" [Labs Round 7, 30 Oct 2026] key_results: Latent-X: macrocycle hit rates 91–100% and mini-binder hit rates 10–64% across 7 targets, testing as few as 30 candidates per target (2025-07-22); Latent-X2: hits on half of 18 targets with 4–24 designs per antibody target (2025-12-16); Latent-Y: binders for 6 of 9 targets (2026-03-23) [Labs Round 7, 30 Oct 2026] compute: AWS collaboration (2025-05-06); among first users of NVIDIA DGX Cloud Lepton (2025-06-11); reports over 4x training speed-ups on NVIDIA Blackwell GPUs (2026-03-16) [Labs Round 7, 30 Oct 2026] advisers: Stefan Oschmann (former chief executive of Merck KGaA) joined the strategic advisory board (announced 2025-12-16); Dario Amodei also named among backers [Labs Round 7, 30 Oct 2026] pharma_partners: none named in the company's press archive to 2026-10-30 (partners named are AWS and NVIDIA) [Labs Round 7, 30 Oct 2026] offices: London HQ at White Collar Factory, Old Street Yard, EC1Y 8AF; San Francisco (job listings and 2025 launch coverage) [Labs Round 7, 30 Oct 2026] model_line: Latent-X (22 Jul 2025) → Latent-X2 (16 Dec 2025) → Latent-Y agent (23 Mar 2026; Research Tier 15 Jul 2026) [Labs Round 8, 31 Oct 2026] models_released: Latent-Y (agent, March 2026): confirmed nanobody binders for 6 of 9 targets (67%), single-digit nanomolar; expert campaigns 56 times faster than expert estimates [Labs Round 8, 31 Oct 2026] compute: NVIDIA Blackwell B300: training over four times faster, inference more than 60% faster than previous hardware (2026-05-01) [Labs Round 8, 31 Oct 2026] news: 2025-07-22 — \"Drug discovery startup from DeepMind alumnus launches first AI model\" (Latent-X, browser-based) — https://www.uktech.news/ai/drug-discovery-startup-from-deepmind-alumnus-launches-first-ai-model-20250722 [Labs Round 9, 31 Oct 2026] Alex's Labs file (line 192, dated 2026-07-14): the file dates the London launch event for Latent-Y to 22 June 2026, with global access opened on 14 July 2026 (file cites sofinnovapartners.com and synbiobeta.com).",
   "uk_status": "uk",
   "company": {
    "ch_number": "14964224",
    "registered_office": "3rd Floor 1 Ashley Road, Altrincham, Cheshire, United Kingdom, WA14 2DT",
    "incorporated": "27 June 2023",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "14964224",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/14964224",
    "ch_note": null,
    "ch_name": "LATENT LABS LIMITED",
    "legal_name": "LATENT LABS LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "WA14 2DT"
   },
   "place": {
    "text": "White Collar Factory, Old Street Yard, London (EC1Y 8AF)",
    "postcode": "EC1Y 8AF",
    "lat": 51.525145,
    "lng": -0.088322,
    "region": "England: London",
    "admin_district": "Islington",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Simon Kohl",
     "role": "Founder and CEO",
     "from": null,
     "source": "https://www.latentlabs.com/press-release/latent-labs-secures-50m-in-funding/"
    },
    {
     "name": "Simon Kohl",
     "role": "founder (ex-co-lead, DeepMind protein design)",
     "from": null,
     "source": "https://tech.eu/2025/02/13/ai-pioneer-dr-simon-kohls-latent-labs-raises-50m/",
     "round4": true
    },
    {
     "name": "Stefan Oschmann",
     "role": "strategic advisory board member",
     "from": "2025-12-16 (announced)",
     "source": "https://www.latentlabs.com/press-release/latent-labs-announces-latent-x2-ai-generated-antibodies-with-drug-like-developability-and-low-ex-vivo-immunogenicity/",
     "round4": true
    },
    {
     "name": "Simon Kohl",
     "role": "Founder & CEO",
     "from": "null",
     "source": "https://www.latentlabs.com/team/",
     "round4": true
    },
    {
     "name": "Simon Kohl",
     "role": "Founder and CEO",
     "from": null,
     "source": "https://www.synbiobeta.com/read/inside-latent-labs-autonomous-drug-design-engine",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 40000000,
     "currency": "USD",
     "date": "2025-02-13",
     "detail": "Series A co-led by Radical Ventures and Sofinnova Partners; total funding US$50m",
     "raw": "funding_round: 40000000 USD 2025-02-13 — Series A co-led by Radical Ventures and Sofinnova Partners; total funding US$50m",
     "amount_gbp": 31941228,
     "fx_rate": 1.2523,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2523 per £ on 2025-02-13",
     "fx_date": "2025-02-13",
     "fx_note": "",
     "txt": "US$40m",
     "gbp_txt": "£31.9m"
    }
   ],
   "site": null,
   "product": {
    "maker": "Latent Labs",
    "launched": "2026-03-23",
    "what_it_does": "Latent-Y, \"an AI agent that autonomously designs therapeutic antibodies from a text prompt\""
   },
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training",
    "Autonomous and agent systems"
   ],
   "sectors": [
    "protein design",
    "drug discovery",
    "scientific foundation models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-latent-labs",
   "type": "Companies",
   "category": "protein design",
   "function": "Builds AI models and an AI agent that design new proteins, such as antibodies, for drug and biotechnology companies.",
   "affiliation": "Labs",
   "sources": [
    "https://www.latentlabs.com/press-release/latent-labs-secures-50m-in-funding/",
    "https://tech.eu/2025/02/13/ai-pioneer-dr-simon-kohls-latent-labs-raises-50m/",
    "https://www.latentlabs.com/press-release/latent-y/",
    "https://www.latentlabs.com/press-release/",
    "https://find-and-update.company-information.service.gov.uk/company/14964224",
    "https://www.gov.uk/government/publications/ai-for-science-strategy/ai-for-science-strategy",
    "https://www.latentlabs.com/latent-y/",
    "https://www.latentlabs.com/press-release/introducing-latent-x-a-frontier-generative-ai-model-for-protein-binder-design-accessible-via-no-code-platform-for-push-button-protein-design/",
    "https://www.latentlabs.com/press-release/latent-labs-announces-latent-x2-ai-generated-antibodies-with-drug-like-developability-and-low-ex-vivo-immunogenicity/",
    "https://www.latentlabs.com/",
    "https://www.latentlabs.com/team/",
    "https://www.synbiobeta.com/read/inside-latent-labs-autonomous-drug-design-engine",
    "https://www.uktech.news/ai/drug-discovery-startup-from-deepmind-alumnus-launches-first-ai-model-20250722"
   ],
   "source_quotes": [
    {
     "url": "https://www.latentlabs.com/press-release/latent-labs-secures-50m-in-funding/",
     "quotes": [
      "LONDON & SAN FRANCISCO, February 13, 2025\" \"$50M in total funding\" \"a $40M Series A\" \"The company is based in London and San Francisco."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/02/13/ai-pioneer-dr-simon-kohls-latent-labs-raises-50m/",
     "quotes": [
      "AI foundation model builder\" \"a co-lead of DeepMind's protein design team"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/press-release/latent-y/",
     "quotes": [
      "an AI agent that autonomously designs therapeutic antibodies from a text prompt\" (dated March 23, 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/press-release/",
     "quotes": [
      "Latent Labs launches Latent-Y to researchers worldwide\" (15.07.26)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14964224",
     "quotes": [
      "LATENT LABS LIMITED\" \"Active\" \"27 June 2023"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/publications/ai-for-science-strategy/ai-for-science-strategy",
     "quotes": [
      "Homegrown startups like Latent Labs, CuspAI, DaltonTx, and Orbital have emerged"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/latent-y/",
     "quotes": [
      "All results are preclinical, with animal studies and clinical trials remaining ahead."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/press-release/introducing-latent-x-a-frontier-generative-ai-model-for-protein-binder-design-accessible-via-no-code-platform-for-push-button-protein-design/",
     "quotes": [
      "The platform launches with macrocycles and mini-binders, with more features to come."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/press-release/latent-labs-announces-latent-x2-ai-generated-antibodies-with-drug-like-developability-and-low-ex-vivo-immunogenicity/",
     "quotes": [
      "Latent-X2 will be available to selected partners."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/",
     "quotes": [
      "We are making biology programmable to transform health and sustainability for the benefit of all."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/team/",
     "quotes": [
      "Founder & CEO"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synbiobeta.com/read/inside-latent-labs-autonomous-drug-design-engine",
     "quotes": [
      "56 times faster than independent expert time estimates"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/drug-discovery-startup-from-deepmind-alumnus-launches-first-ai-model-20250722",
     "quotes": [
      "push button protein design"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training",
    "Autonomous and agent systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "White Collar Factory, Old Street Yard, London (EC1Y 8AF)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-025",
     "name": "Radical Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-025",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-026",
     "name": "Kindred Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-026",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-045",
     "name": "Sofinnova Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-045",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-068",
     "name": "Flying Fish Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-068",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-071",
     "name": "8VC",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-071",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-025",
     "name": "Radical Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-025",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-045",
     "name": "Sofinnova Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-045",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-026",
     "name": "Kindred Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-026",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-071",
     "name": "8VC",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-071",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-017",
     "name": "Simon Kohl",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-017",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-017",
     "name": "Simon Kohl",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-017",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2144",
     "name": "Isomer Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2144",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2144",
     "name": "Isomer Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2144",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2200",
     "name": "Pillar VC",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2200",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2200",
     "name": "Pillar VC",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2200",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-071",
     "name": "8VC",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-071",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-071",
     "name": "8VC",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-071",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-068",
     "name": "Flying Fish Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-068",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-068",
     "name": "Flying Fish Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-068",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-026",
     "name": "Kindred Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-026",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-026",
     "name": "Kindred Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-026",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-025",
     "name": "Radical Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-025",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-025",
     "name": "Radical Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-025",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-045",
     "name": "Sofinnova Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-045",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-045",
     "name": "Sofinnova Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-045",
     "page_label": "Investors"
    }
   ],
   "label_links": [],
   "degree": 4,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-7080",
    "BIZ-LAB-7081",
    "BIZ-LAB-7082"
   ]
  },
  {
   "id": "BIZ-LAB-010",
   "name": "Basecamp Research",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-09-23",
   "status_detail": "Announced a US$140m Series C led by S32 on 23 September 2026.",
   "one_line": "Collects genetic data from nature and trains biological foundation models, called EDEN, to design gene therapies, enzymes and peptides.",
   "description": "Basecamp Research was incorporated in London in December 2019 and was co-founded by Glen Gowers and Oliver Vince. It builds a large genetic database it calls the Trillion Gene Atlas and trains biological foundation models, EDEN, on it to design cell and gene therapies, enzymes and peptides. On 23 September 2026 it announced a US$140m Series C led by S32, with NVIDIA, the NATO Innovation Fund and Sovereign AI among investors. It is headquartered in London (Clerkenwell Workshops) with offices and labs in Cambridge, Massachusetts. [Round 4, 30 Oct 2026] latest round: $140m round (Sept/Oct 2026); Sovereign AI invested — its sixth equity investment [Round 4, 30 Oct 2026] investor / partner: NVIDIA is an existing investor; research collaborator of the new AI Biosecurity Lab [Round 6, 30 Oct 2026] compute: NVIDIA DGX H200 BasePOD with VAST Data storage, built by Boston Limited, used for the EDEN model (case study in 2026 brochure; GPU count not given) [Labs Round 7, 30 Oct 2026] models_released: EDEN family of biological foundation models; company page: 28-billion-parameter model trained on 9.7 trillion tokens of evolutionary data, about 1.95×10^24 FLOPs; preprint posted 2026-01-12 [Labs Round 7, 30 Oct 2026] papers: bioRxiv \"Designing AI-programmable therapeutics with the EDEN family of foundation models\" (2026-01-12); OpenReview \"Scaling Laws and Architectural Frontiers in Metagenomic Foundation Models\" (2026-03-02); \"Annotating the microbial dark matter with HiFi-NN\" (2025-06-20); bioRxiv \"Breaking Through Biology's Data Wall\" (2025-06-14); bioRxiv \"Conditional language models enable the efficient design of proficient enzymes\" (2024-05-21); bioRxiv \"Improving AlphaFold2 performance with a global metagenomic & biological data supply chain\" (2024-03-06) [Labs Round 7, 30 Oct 2026] rounds: Series C $140m (2026-09-23, oversubscribed) led by S32; with Menlo Ventures' Anthology Fund, Catalio, European Tech Collective, Firebrand River, Inception Fund, King Philanthropies, NATO Innovation Fund, NVIDIA, PostScriptum, Redalpine, The Rockefeller Foundation, Singular, Sovereign AI, True Ventures; angel André Hoffmann [Labs Round 7, 30 Oct 2026] valuation_reported: $800 million after the $140m round (2026-09-23), per Reuters headline listed on the company news page (Reuters page not opened) [Labs Round 7, 30 Oct 2026] rounds: $60m round reported 2024-10-09 (TechCrunch headline listed on company news page; article not opened; lead not verified) [Labs Round 7, 30 Oct 2026] pipeline: Lead programme in vivo cell therapy; EDEN also used for cell and gene therapies, enzymes and peptides (2026-09-23); Endpoints headline speaks of a six-programme pipeline [Labs Round 7, 30 Oct 2026] compute: Sovereign AI gives access to the UK's most powerful AI supercomputer alongside its equity (2026); company news page lists Microsoft Azure training (2026-08-19) and EDEN trained \"20x faster on Nebius\" (2026-06-23) [Labs Round 7, 30 Oct 2026] data_assets: Database drawing on \"over a million previously undiscovered species\"; Trillion Gene Atlas announced 2026-03-18 (atlas partners named in the Series C release: NVIDIA, Anthropic, PacBio, Ultima Genomics) [Labs Round 7, 30 Oct 2026] leadership: Glen Gowers — co-founder and chief executive; Richard Pearce — chief business officer; Andy Conrad (S32, former Verily chief executive) joins the board (2026-09-23) [Labs Round 7, 30 Oct 2026] named_partners: Sovereign AI-backed IMU Biosciences UK Biobank immune project lists Basecamp Research (with Isomorphic Labs) as an industry supporter (October 2026) [Labs Round 7, 30 Oct 2026] offices: London (Clerkenwell Workshops, EC1R) and LabCentral, Cambridge, Massachusetts [Labs Round 7, 30 Oct 2026] pipeline_table: Six programmes (September 2026): in vivo CAR-T (blood cancers, lead optimisation; solid tumour, discovery; autoimmunity, lead optimisation); gene insertion for PKU (lead optimisation); antimicrobial peptides for AMR (lead optimisation); cardiometabolic peptides for diabetes (discovery). No partners named. [Labs Round 7, 30 Oct 2026] flagship_model: EDEN family, 28 billion parameters, 9.7 trillion nucleotide tokens; preprint 12 Jan 2026; two capabilities live via chat and a Claude connector [Labs Round 7, 30 Oct 2026] US$800m valuation: single source (a Reuters headline listed on the company's news page; the article itself was not opened). [Labs Round 8, 31 Oct 2026] compute: Largest EDEN model trained with ~1.95×10^24 FLOPs on 1,008 NVIDIA Hopper GPUs using BioNeMo; over 10 trillion tokens of evolutionary DNA from more than one million new species (2026-01-12) [Labs Round 8, 31 Oct 2026] research_leads: John Finn — Chief Scientific Officer [Labs Round 8, 31 Oct 2026] customers_or_partners: University of Pennsylvania (César de la Fuente; antimicrobial peptides, 97% of candidates active); data partners: more than 152 organisations in 28 countries",
   "uk_status": "uk",
   "company": {
    "ch_number": "12354133",
    "registered_office": "Unit 315, Clerkenwell Workshops 27 Clerkenwell Close, London, England, EC1R 0AT",
    "incorporated": "9 December 2019",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "12354133",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/12354133",
    "ch_note": null,
    "ch_name": "BASECAMP RESEARCH LTD",
    "legal_name": "BASECAMP RESEARCH LTD",
    "status_registry": "Active",
    "sic_codes": [
     "72110",
     "72190"
    ],
    "registered_office_postcode": "EC1R 0AT"
   },
   "place": {
    "text": "Clerkenwell Workshops, 27 Clerkenwell Close, London (EC1R 0AT)",
    "postcode": "EC1R 0AT",
    "lat": 51.524129,
    "lng": -0.106586,
    "region": "England: London",
    "admin_district": "Islington",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Glen Gowers",
     "role": "Co-founder and CEO",
     "from": null,
     "source": "https://www.basecamp-research.com/news-research/basecamp-research-raises-140m-to-advance-ai-designed-therapeutics"
    },
    {
     "name": "Oliver Vince",
     "role": "Co-founder",
     "from": null,
     "source": "https://www.basecamp-research.com/about"
    },
    {
     "name": "Glen Gowers (BIZ-TAL-018)",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://www.basecamp-research.com/news-research/basecamp-research-raises-140m-to-advance-ai-designed-therapeutics",
     "round4": true
    },
    {
     "name": "Richard Pearce",
     "role": "Chief Business Officer",
     "from": null,
     "source": "https://www.basecamp-research.com/news-research/basecamp-research-raises-140m-to-advance-ai-designed-therapeutics",
     "round4": true
    },
    {
     "name": "Andy Conrad",
     "role": "board director (General Partner, S32)",
     "from": "2026-09-23",
     "source": "https://www.basecamp-research.com/news-research/basecamp-research-raises-140m-to-advance-ai-designed-therapeutics",
     "round4": true
    },
    {
     "name": "Glen Gowers",
     "role": "Co-founder and CEO",
     "from": "null",
     "source": "https://www.basecamp-research.com/news-research/basecamp-research-raises-140m-to-advance-ai-designed-therapeutics",
     "round4": true
    },
    {
     "name": "Oliver Vince",
     "role": "Co-founder",
     "from": "null",
     "source": "https://www.basecamp-research.com/about",
     "round4": true
    },
    {
     "name": "John Finn",
     "role": "Chief Scientific Officer",
     "from": "null",
     "source": "https://www.basecamp-research.com/about",
     "round4": true
    },
    {
     "name": "Phil Lorenz",
     "role": "Chief Technology Officer",
     "from": "null",
     "source": "https://www.basecamp-research.com/about",
     "round4": true
    },
    {
     "name": "John Finn",
     "role": "Chief Scientific Officer",
     "from": null,
     "source": "https://www.prnewswire.com/news-releases/basecamp-research-launches-world-first-ai-models-for-programmable-gene-insertion-302657979.html",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 140000000,
     "currency": "USD",
     "date": "2026-09-23",
     "detail": "Series C led by S32",
     "raw": "funding_round: 140000000 USD 2026-09-23 — Series C led by S32",
     "amount_gbp": 105540897,
     "fx_rate": 1.3265,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3265 per £ on 2026-09-23",
     "fx_date": "2026-09-23",
     "fx_note": "",
     "txt": "US$140m",
     "gbp_txt": "£105.5m"
    }
   ],
   "site": null,
   "product": {
    "maker": "Basecamp Research",
    "launched": null,
    "what_it_does": "EDEN, \"its biological foundation model\""
   },
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "biology",
    "drug discovery",
    "scientific foundation models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "biology",
   "function": "Collects genetic data from nature and trains biological foundation models, called EDEN, to design gene therapies, enzymes and peptides.",
   "affiliation": "Labs",
   "sources": [
    "https://www.basecamp-research.com/news-research/basecamp-research-raises-140m-to-advance-ai-designed-therapeutics",
    "https://www.basecamp-research.com/about",
    "https://find-and-update.company-information.service.gov.uk/company/12354133",
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://find-and-update.company-information.service.gov.uk/company/12354133/officers",
    "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-basecamp-research-to-help-design-the-next-generation-of-medicines",
    "https://boston.co.uk/wp-content/uploads/2026/07/AI-Brochure-2026-June-v2-WEB-SINGLE-updated.pdf",
    "https://www.basecamp-research.com/ai-models",
    "https://www.basecamp-research.com/news-research",
    "https://www.sovereignai.gov.uk/post/sovereign-ai-supports-imu-biosciences-to-build-population-scale-immune-datasets",
    "https://www.basecamp-research.com/",
    "https://www.basecamp-research.com/therapeutic-pipeline",
    "https://www.prnewswire.com/news-releases/basecamp-research-launches-world-first-ai-models-for-programmable-gene-insertion-302657979.html"
   ],
   "source_quotes": [
    {
     "url": "https://www.basecamp-research.com/news-research/basecamp-research-raises-140m-to-advance-ai-designed-therapeutics",
     "quotes": [
      "London / Boston - Wednesday 23rd September\" \"$140M Series C financing\" \"led by S32\" \"headquartered in London with offices and labs in Cambridge, MA"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.basecamp-research.com/about",
     "quotes": [
      "Headquartered in London.\" \"Unit 315, Clerkenwell Workshops\" \"Co-founder\" (Glen Gowers, Oliver Vince)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/12354133",
     "quotes": [
      "BASECAMP RESEARCH LTD\" \"Active\" \"9 December 2019"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "supporting companies including Basecamp Research, Ineffable Intelligence, Synthesia, Wayve and many more"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/12354133/officers",
     "quotes": [
      "GOWERS, Glen Oliver Francis\" Director \"9 December 2019",
      "VINCE, Oliver Freeman\" Director \"9 December 2019",
      "CONRAD, Andrew\" Director \"17 July 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-basecamp-research-to-help-design-the-next-generation-of-medicines",
     "quotes": [
      "We've invested in Basecamp Research as part of its $140m round."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boston.co.uk/wp-content/uploads/2026/07/AI-Brochure-2026-June-v2-WEB-SINGLE-updated.pdf",
     "quotes": [
      "trillion gene"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.basecamp-research.com/ai-models",
     "quotes": [
      "Meet EDEN, our 28-billion-parameter biological foundation model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.basecamp-research.com/news-research",
     "quotes": [
      "Designing AI-programmable therapeutics with the EDEN family of foundation models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sovereignai.gov.uk/post/sovereign-ai-supports-imu-biosciences-to-build-population-scale-immune-datasets",
     "quotes": [
      "80,000 blood samples from UK Biobank participants"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.basecamp-research.com/",
     "quotes": [
      "Over 100 billion novel genes discovered from across all 7 continents."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.basecamp-research.com/therapeutic-pipeline",
     "quotes": [
      "EDEN designs across therapeutic modalities."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.prnewswire.com/news-releases/basecamp-research-launches-world-first-ai-models-for-programmable-gene-insertion-302657979.html",
     "quotes": [
      "a new family of evolutionary AI models developed with NVIDIA"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Clerkenwell Workshops, 27 Clerkenwell Close, London (EC1R 0AT)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-028",
     "name": "NATO Innovation Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-028",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-046",
     "name": "S32",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-046",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-077",
     "name": "Menlo Ventures (Anthology Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-077",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-046",
     "name": "S32",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-046",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-028",
     "name": "NATO Innovation Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-028",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-235",
     "name": "John Finn",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-235",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-236",
     "name": "Emma Bolton",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-236",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-237",
     "name": "Phil Lorenz",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-237",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-018",
     "name": "Glen Gowers",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-018",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-018",
     "name": "Glen Gowers",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-018",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-019",
     "name": "Oliver Vince",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-019",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-019",
     "name": "Oliver Vince",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-019",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-020",
     "name": "Sarah Cross",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-020",
     "page_label": "Talent"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-CO-008",
     "name": "AI Biosecurity Lab (AIBL) and National AI Biosecurity Initiative",
     "page": "government",
     "href": "../../government/cabinet-office/#org=GOV-CO-008",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "linked from: supplies",
     "id": "BIZ-CLD-5003",
     "name": "Boston Limited",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-5003",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Redalpine"
    },
    {
     "kind": "funded_by",
     "name": "Singular"
    },
    {
     "kind": "funded_by",
     "name": "True Ventures"
    }
   ],
   "degree": 5,
   "related_ids": [
    "BIZ-LAB-12026",
    "BIZ-LAB-2012",
    "BIZ-LAB-7083",
    "BIZ-LAB-7084",
    "BIZ-LAB-7085"
   ]
  },
  {
   "id": "BIZ-LAB-011",
   "name": "CuspAI",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-07-20",
   "status_detail": "Raised a US$450m Series B at a reported US$2.6bn valuation, co-led by Kleiner Perkins and NEA, reported 20 July 2026.",
   "one_line": "Builds AI systems that search for and design new materials for semiconductors, energy and climate uses.",
   "description": "CuspAI was incorporated in Cambridge in March 2024 and founded by Chad Edwards (chief executive) and Max Welling (chief technology officer). It builds an AI system for materials discovery and runs a partner network it calls the AI Materials Foundry. tech.eu reports a US$100m raise in September 2025 at US$520m and a US$450m Series B in July 2026 at US$2.6bn, with the UK Sovereign AI Fund among new investors. The company says it has raised over US$650m. It is headquartered in Cambridge, UK. [Round 4, 30 Oct 2026] latest round: Series B $450m (October 2026); Sovereign AI invested [Round 4, 30 Oct 2026] leadership: Dr Chad Edwards, co-founder and CEO; Prof Max Welling, co-founder and CTO [Round 4, 30 Oct 2026] place: founded and headquartered in Cambridge, UK [Labs Round 7, 30 Oct 2026] valuation_reported: $2.6bn at Series B (2026-07-20), \"a five-fold jump\" from $520m at the September 2025 $100m round; more than $670m raised in total [Labs Round 7, 30 Oct 2026] rounds: Series B $450m (2026-07-20) co-led by Kleiner Perkins and NEA; new: Bezos Expeditions, Glade Brook, Lux Capital, AMD Ventures, Tru Arrow, StepStone, UK Sovereign AI Fund; existing: Temasek, Basis Set, Giant Ventures, Phoenix Court, Northzone [Labs Round 7, 30 Oct 2026] chief_scientist: Prof. Aron Walsh — Chief Scientific Officer [Labs Round 7, 30 Oct 2026] industrial_partners: AI Materials Foundry: core partners NVIDIA and Meta; 29 industry partners listed incl. 3M, AMD, Applied Materials, Fujifilm, Goodyear, Henkel, Hitachi, Hyundai, Johnson Matthey, Kemira, Merck, Samsung, Tokyo Electron, Umicore; company says \"over 45 partners\"; customers named by tech.eu: ASML and Meta [Labs Round 7, 30 Oct 2026] offices: HQ Cambridge (20 Station Road); also London, Amsterdam, Berlin, Tokyo, Singapore and the United States [Labs Round 7, 30 Oct 2026] models_released: MIRA — proprietary platform at the centre of the AI Materials Foundry, covering generative design, simulation, synthesis planning and experimental validation (2026-07-20); Meta FAIR's Universal Model for Atoms (UMA) used in the Foundry [Labs Round 7, 30 Oct 2026] rounds: UKTN adds Invest-NL and John Doerr to the Series B investor list and gives £334m / £1.9bn (2026-07-20); earlier $30m (£24m) round 2024-06-18 led by Hoxton Ventures with Basis Set, Lightspeed, LocalGlobe, Northzone, Touring Capital, Giant Ventures, FJ Labs, Tiferes, Zero Prime; Geoffrey Hinton to advise the board [Labs Round 7, 30 Oct 2026] title_check: Max Welling: \"co-founder and chief AI officer\" in UKTN 2024-06-18; \"CTO and Co-Founder\" on company site 2026 — use current site title [Labs Round 8, 31 Oct 2026] valuation_reported: $2.6bn (£1.9bn) at the July 2026 Series B (round already on site) [Labs Round 8, 31 Oct 2026] models_released: MIRA — proprietary materials-discovery platform (new record BIZ-LAB-12021) [Labs Round 8, 31 Oct 2026] founders: Chad Edwards — CEO and co-founder (ex-Google, Quantinuum); Max Welling — co-founder and chief AI officer (ex-Microsoft Research, Qualcomm) [Labs Round 8, 31 Oct 2026] awards: Board advised by Geoffrey Hinton (2024-06-18) [Labs Round 8, 31 Oct 2026] customers_or_partners: AI Materials Foundry: over 45 founding organisations incl. NVIDIA, Meta FAIR, Hitachi High-Tech, Samsung, Hyundai Motor Group, Merck (deal on site) [Labs Round 8, 31 Oct 2026] founders: Dr Chad Edwards and Prof Max Welling (founded 2024; headquartered Cambridge, UK) [Labs Round 8, 31 Oct 2026] funding_total_as_published: Over $650M raised, investors named include Kleiner Perkins, NEA and Temasek (company homepage, read 31 Oct 2026; second source needed)",
   "uk_status": "uk",
   "company": {
    "ch_number": "15549537",
    "registered_office": "20 Station Road, Cambridge, England, CB1 2JD",
    "incorporated": "9 March 2024",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15549537",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15549537",
    "ch_note": null,
    "ch_name": "CUSP AI LIMITED",
    "legal_name": "CUSP AI LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "74909"
    ],
    "registered_office_postcode": "CB1 2JD"
   },
   "place": {
    "text": "20 Station Road, Cambridge (CB1 2JD)",
    "postcode": "CB1 2JD",
    "lat": 52.194439,
    "lng": 0.133975,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Chad Edwards",
     "role": "CEO and Co-Founder",
     "from": null,
     "source": "https://cusp.ai/"
    },
    {
     "name": "Max Welling",
     "role": "CTO and Co-Founder",
     "from": null,
     "source": "https://cusp.ai/"
    },
    {
     "name": "Chad Edwards",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-cuspai-to-reinvent-how-the-world-discovers-new-materials",
     "round4": true
    },
    {
     "name": "Max Welling",
     "role": "co-founder and CTO",
     "from": null,
     "source": "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-cuspai-to-reinvent-how-the-world-discovers-new-materials",
     "round4": true
    },
    {
     "name": "Aron Walsh (BIZ-TAL-023)",
     "role": "Chief Scientific Officer",
     "from": null,
     "source": "https://cusp.ai",
     "round4": true
    },
    {
     "name": "Markus Hoffmann",
     "role": "Chief Strategy Officer",
     "from": null,
     "source": "https://cusp.ai",
     "round4": true
    },
    {
     "name": "Chad Edwards",
     "role": "CEO and Co-Founder",
     "from": "2024",
     "source": "https://cusp.ai/",
     "round4": true
    },
    {
     "name": "Max Welling",
     "role": "CTO and Co-Founder",
     "from": "2024",
     "source": "https://cusp.ai/",
     "round4": true
    },
    {
     "name": "Aron Walsh",
     "role": "Chief Scientific Officer",
     "from": "null",
     "source": "https://cusp.ai/",
     "round4": true
    },
    {
     "name": "Chad Edwards",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/cuspai-raises-334m-and-launches-ai-materials-foundry-20260720",
     "round4": true
    },
    {
     "name": "Max Welling",
     "role": "Co-founder and chief AI officer",
     "from": null,
     "source": "https://www.uktech.news/ai/cuspai-funding-godfather-20240618",
     "round4": true
    },
    {
     "name": "Geoffrey Hinton",
     "role": "Adviser to the board",
     "from": "2024-06-18",
     "source": "https://www.uktech.news/ai/cuspai-funding-godfather-20240618",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 450000000,
     "currency": "USD",
     "date": "2026-07-20",
     "detail": "Series B co-led by Kleiner Perkins and NEA",
     "raw": "funding_round: 450000000 USD 2026-07-20 — Series B co-led by Kleiner Perkins and NEA",
     "amount_gbp": 334821429,
     "fx_rate": 1.344,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.344 per £ on 2026-07-20",
     "fx_date": "2026-07-20",
     "fx_note": "",
     "txt": "US$450m",
     "gbp_txt": "£334.8m"
    },
    {
     "kind": "valuation_reported",
     "amount": 2600000000,
     "currency": "USD",
     "date": "2026-07-20",
     "detail": null,
     "raw": "valuation_reported: 2600000000 USD 2026-07-20",
     "amount_gbp": 1934523810,
     "fx_rate": 1.344,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.344 per £ on 2026-07-20",
     "fx_date": "2026-07-20",
     "fx_note": "",
     "txt": "US$2.60bn",
     "gbp_txt": "£1.93bn"
    },
    {
     "kind": "funding_round",
     "amount": 100000000,
     "currency": "USD",
     "date": "2025-09",
     "detail": "reported by tech.eu (\"September of last year\"); day not stated",
     "raw": "funding_round: 100000000 USD 2025-09 — reported by tech.eu (\"September of last year\"); day not stated",
     "amount_gbp": 73811633,
     "fx_rate": 1.3548,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3548 per £ on 2025-09-01",
     "fx_date": "2025-09-01",
     "fx_note": "month only given: rate for the 1st",
     "txt": "US$100m",
     "gbp_txt": "£73.8m"
    },
    {
     "kind": "valuation_reported",
     "amount": 520000000,
     "currency": "USD",
     "date": "2025-09",
     "detail": null,
     "raw": "valuation_reported: 520000000 USD 2025-09",
     "amount_gbp": 383820490,
     "fx_rate": 1.3548,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3548 per £ on 2025-09-01",
     "fx_date": "2025-09-01",
     "fx_note": "month only given: rate for the 1st",
     "txt": "US$520m",
     "gbp_txt": "£383.8m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "materials science",
    "chemistry",
    "scientific foundation models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "materials science",
   "function": "Builds AI systems that search for and design new materials for semiconductors, energy and climate uses.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/07/20/jeff-bezos-and-sovereign-ai-back-cuspai-in-450m-raise/",
    "https://cusp.ai/",
    "https://find-and-update.company-information.service.gov.uk/company/15549537",
    "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-cuspai-to-reinvent-how-the-world-discovers-new-materials",
    "https://cusp.ai",
    "https://www.uktech.news/ai/cuspai-raises-334m-and-launches-ai-materials-foundry-20260720",
    "https://www.uktech.news/ai/cuspai-funding-godfather-20240618",
    "https://www.cusp.ai/"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/07/20/jeff-bezos-and-sovereign-ai-back-cuspai-in-450m-raise/",
     "quotes": [
      "$450m Series B, \"$2.6bn\", co-led by Kleiner Perkins and NEA; \"Cambridge-based"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://cusp.ai/",
     "quotes": [
      "CuspAI was founded in 2024 by Dr. Chad Edwards and Prof. Max Welling to build the AI system for materials discovery.\" \"has raised over $650M from investors including Kleiner Perkins, NEA, Temasek"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15549537",
     "quotes": [
      "CUSP AI LIMITED\" \"20 Station Road, Cambridge, England, CB1 2JD\" \"Active\" \"9 March 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-cuspai-to-reinvent-how-the-world-discovers-new-materials",
     "quotes": [
      "Sovereign AI has invested in CuspAI as part of its $450 million Series B financing"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://cusp.ai",
     "quotes": [
      "Chief Scientific Officer"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/cuspai-raises-334m-and-launches-ai-materials-foundry-20260720",
     "quotes": [
      "The collaboration seeks to end the materials bottleneck constraining progress."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/cuspai-funding-godfather-20240618",
     "quotes": [
      "an AI search engine for users to request specific properties for new materials"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.cusp.ai/",
     "quotes": [
      "CuspAI was founded in 2024 by Dr. Chad Edwards and Prof. Max Welling to build the AI system for materials discovery."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "20 Station Road, Cambridge (CB1 2JD)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-023",
     "name": "Kleiner Perkins",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-023",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-024",
     "name": "NEA (New Enterprise Associates)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-024",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-037",
     "name": "Phoenix Court",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-037",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-058",
     "name": "AMD (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-058",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-070",
     "name": "Bezos Expeditions",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-070",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-023",
     "name": "Kleiner Perkins",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-023",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-024",
     "name": "NEA (New Enterprise Associates)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-024",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-070",
     "name": "Bezos Expeditions",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-070",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-022",
     "name": "Temasek",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-022",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-021",
     "name": "Chad Edwards",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-021",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-021",
     "name": "Chad Edwards",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-021",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-022",
     "name": "Max Welling",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-022",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-022",
     "name": "Max Welling",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-022",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-023",
     "name": "Aron Walsh",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-023",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-203",
     "name": "Hoxton Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-203",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2116",
     "name": "Glade Brook Capital Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2116",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2116",
     "name": "Glade Brook Capital Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2116",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2141",
     "name": "Invest-NL",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2141",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2141",
     "name": "Invest-NL",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2141",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2166",
     "name": "Lux Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2166",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2166",
     "name": "Lux Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2166",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2236",
     "name": "StepStone",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2236",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2236",
     "name": "StepStone",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2236",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2250",
     "name": "Tru Arrow Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2250",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2250",
     "name": "Tru Arrow Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2250",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2138",
     "name": "Debbie Toms",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2138",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2139",
     "name": "Markus Hoffmann",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2139",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2140",
     "name": "Felix Hanke",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2140",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2141",
     "name": "Alessandro De Maria",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2141",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2142",
     "name": "Will Kay",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2142",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2143",
     "name": "Jonathan Fildes",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2143",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2144",
     "name": "Monica Hansen",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2144",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2145",
     "name": "Geoffrey Hinton",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2145",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2146",
     "name": "Kristin Persson",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2146",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2147",
     "name": "Martin van den Brink",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2147",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2148",
     "name": "Yann LeCun",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2148",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2149",
     "name": "Verity Harding",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2149",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2150",
     "name": "John Browne (Lord Browne)",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2150",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2151",
     "name": "John Giannandrea",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2151",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-TAL-2152",
     "name": "Abhi Talwalkar",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2152",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-058",
     "name": "AMD (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-058",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-058",
     "name": "AMD (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-058",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-070",
     "name": "Bezos Expeditions",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-070",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-070",
     "name": "Bezos Expeditions",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-070",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-023",
     "name": "Kleiner Perkins",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-023",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-023",
     "name": "Kleiner Perkins",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-023",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-024",
     "name": "NEA (New Enterprise Associates)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-024",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-024",
     "name": "NEA (New Enterprise Associates)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-024",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "UK Sovereign AI Fund"
    },
    {
     "kind": "funded_by",
     "name": "NVentures (NVIDIA)"
    },
    {
     "kind": "funded_by",
     "name": "Samsung"
    },
    {
     "kind": "funded_by",
     "name": "Hyundai Motor Group"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-12021",
    "BIZ-LAB-14053"
   ]
  },
  {
   "id": "BIZ-LAB-012",
   "name": "Ineffable Intelligence",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Launched on 27 April 2026 with a US$1.1bn seed round co-led by Sequoia and Lightspeed at a US$5.1bn valuation (company figure, reported by tech.eu); partners from both firms joined its board on 17 April 2026. Companies House shows INEFFABLE INTELLIGENCE LTD as Active (checked 31 Oct 2026).",
   "one_line": "Research company set up by David Silver to build an AI system that learns skills and knowledge from its own experience rather than from human data.",
   "description": "Ineffable Intelligence Ltd was incorporated on 19 November 2025; David Silver, who led the reinforcement learning team at DeepMind and is a professor at UCL, became a director in January 2026. The company says its mission is \"to make first contact with superintelligence\" by building a \"superlearner\". Its seed round of US$1.1bn (£814m), announced in April 2026, was co-led by Sequoia and Lightspeed, with NVIDIA, Google, the British Business Bank and the UK Sovereign AI Unit among investors. UKTN calls it UK-headquartered; no page opened names a city, and the registered office is a company-formation address in Altrincham. [Round 4, 30 Oct 2026] latest round: $1.1bn seed at $5.1bn valuation (company figure), 27 Apr 2026; led by Sequoia and Lightspeed; NVIDIA, DST Global, Index, Google, EQT Ventures, Wellcome Trust, BOND, British Business Bank, Sovereign AI Fund also invested [Round 4, 30 Oct 2026] chief scientist: Wojciech Marian Czarnecki joined as chief scientific officer (not a founder) [Round 4, 30 Oct 2026] founder: David Silver (UCL professor; former lead of DeepMind reinforcement learning) [Labs Round 7, 30 Oct 2026] legal_name: Ineffable Intelligence LTD [Labs Round 7, 30 Oct 2026] founded: 2025 (company note announcing it dated 15 Jan 2026) [Labs Round 7, 30 Oct 2026] city: London [Labs Round 7, 30 Oct 2026] valuation_reported: US$5.1bn (April 2026 seed) [Labs Round 7, 30 Oct 2026] investors_other: NVIDIA, DST Global, Index, Google, Flying Fish Ventures, EQT Ventures, Evantic Capital, Wellcome Trust, BOND Capital, British Business Bank, Sovereign AI Fund (round co-led by Sequoia and Lightspeed) [Labs Round 7, 30 Oct 2026] chief_scientist: Wojciech Marian Czarnecki (ex-DeepMind senior researcher) joined as chief scientific officer [Labs Round 7, 30 Oct 2026] compute: Google Cloud is its preferred cloud partner (reported Oct 2026) [Labs Round 7, 30 Oct 2026] compute: Access to the UK's largest AI supercomputers through Sovereign AI (alongside capital, visas and other support) [Labs Round 7, 30 Oct 2026] mission: Building a reinforcement-learning \"superlearner\" that learns from its own experience [Labs Round 7, 30 Oct 2026] government_view: GOV.UK release, 27 Apr 2026: Sovereign AI Unit and British Business Bank co-invest; amount not disclosed [Labs Round 8, 31 Oct 2026] valuation_reported: $5.1bn at seed (Apr 2026), as stated by the company [Labs Round 8, 31 Oct 2026] research_focus: Reinforcement learning: a \"superlearner\" that keeps discovering knowledge and skills without relying on human data [Labs Round 8, 31 Oct 2026] research_leads: Wojciech Marian Czarnecki — chief scientific officer (joined by May 2026) [Labs Round 8, 31 Oct 2026] funding_total_as_published: $1.1bn seed (Apr 2026) co-led by Sequoia and Lightspeed; participants NVIDIA, DST Global, Index, Google, Flying Fish Ventures, EQT Ventures, Evantic Capital, UK Wellcome Trust, BOND Capital, British Business Bank, Sovereign AI Fund [Labs Round 8, 31 Oct 2026] Listed on Labs (New labs 2025–26): came out of stealth on 27 Apr 2026 with a $1.1bn seed round",
   "uk_status": "uk",
   "company": {
    "ch_number": "16865241",
    "registered_office": "3rd Floor 1 Ashley Road, Altrincham, Cheshire, United Kingdom, WA14 2DT",
    "incorporated": "19 November 2025",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "16865241",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/16865241",
    "ch_note": null,
    "ch_name": "INEFFABLE INTELLIGENCE LTD",
    "legal_name": "INEFFABLE INTELLIGENCE LTD",
    "status_registry": "Active",
    "sic_codes": [
     "74909"
    ],
    "registered_office_postcode": "WA14 2DT"
   },
   "place": {
    "text": "null (city not published)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": null
   },
   "people": [
    {
     "name": "David Silver",
     "role": "Founder; director from 2026-01-16",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/16865241/officers"
    },
    {
     "name": "Alfred Lin",
     "role": "Director (Sequoia partner per tech.eu)",
     "from": "2026-04-17",
     "source": "https://find-and-update.company-information.service.gov.uk/company/16865241/officers"
    },
    {
     "name": "Ravi Mhatre",
     "role": "Director (Lightspeed partner per tech.eu)",
     "from": "2026-04-17",
     "source": "https://find-and-update.company-information.service.gov.uk/company/16865241/officers"
    },
    {
     "name": "David Silver",
     "role": "founder",
     "from": "2026",
     "source": "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-ineffable-intelligence",
     "round4": true
    },
    {
     "name": "Wojciech Marian Czarnecki",
     "role": "chief scientific officer",
     "from": "2026",
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    },
    {
     "name": "Wojciech Marian Czarnecki",
     "role": "chief scientific officer",
     "from": "2026 (reported 1 May 2026)",
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    },
    {
     "name": "David Silver",
     "role": "founder",
     "from": "2025",
     "source": "https://www.ucl.ac.uk/news/2026/apr/ucl-researchers-lead-two-europes-largest-ever-ai-funding-rounds",
     "round4": true
    },
    {
     "name": "David Silver",
     "role": "Founder and CEO",
     "from": "null",
     "source": "https://www.uktech.news/ai/ineffable-intelligence-and-google-cloud-partner-on-new-frontier-ai-lab-20260616",
     "round4": true
    },
    {
     "name": "Wojciech Marian Czarnecki",
     "role": "Chief scientific officer",
     "from": "by May 2026",
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 1100000000,
     "currency": "USD",
     "date": "2026-04-27",
     "detail": "seed, co-led by Sequoia and Lightspeed",
     "raw": "funding_round: 1100000000 USD 2026-04-27 — seed, co-led by Sequoia and Lightspeed",
     "amount_gbp": 811448805,
     "fx_rate": 1.3556,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3556 per £ on 2026-04-27",
     "fx_date": "2026-04-27",
     "fx_note": "",
     "txt": "US$1.10bn",
     "gbp_txt": "£811.4m"
    },
    {
     "kind": "valuation_reported",
     "amount": 5100000000,
     "currency": "USD",
     "date": "2026-04-27",
     "detail": "\"according to the company\", per tech.eu",
     "raw": "valuation_reported: 5100000000 USD 2026-04-27 — \"according to the company\", per tech.eu",
     "amount_gbp": 3762171732,
     "fx_rate": 1.3556,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3556 per £ on 2026-04-27",
     "fx_date": "2026-04-27",
     "fx_note": "",
     "txt": "US$5.10bn",
     "gbp_txt": "£3.76bn"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation"
   ],
   "sectors": [
    "frontier AI research",
    "reinforcement learning"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-ineffable-intelligence",
   "type": "Companies",
   "category": "frontier AI research",
   "function": "Research company set up by David Silver to build an AI system that learns skills and knowledge from its own experience rather than from human data.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/04/27/ineffable-intelligence-launches-with-record-breaking-11b-seed-round/",
    "https://www.uktech.news/ai/ineffable-intelligence-secures-814m-seed-round-20260428",
    "https://www.ineffable.ai/",
    "https://find-and-update.company-information.service.gov.uk/company/16865241",
    "https://find-and-update.company-information.service.gov.uk/company/16865241/officers",
    "https://www.ineffable.ai/",
    "https://tech.eu/2026/05/01/over/",
    "https://www.ucl.ac.uk/news/2026/apr/ucl-researchers-lead-two-europes-largest-ever-ai-funding-rounds",
    "https://tech.eu/2026/10/15/nebius-says-struck-deals-with-uk-ai-labs-welcomes-non-compete-changes/",
    "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-ineffable-intelligence",
    "https://www.gov.uk/government/news/uk-backs-company-building-breakthrough-ai-that-can-discover-new-knowledge",
    "https://www.ineffable.ai/blog/nvidia-ineffable-intelligence-team-up-to-build-the-future-of-reinforcement-learning-infrastructure",
    "https://www.ineffable.ai/terms-and-conditions"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/04/27/ineffable-intelligence-launches-with-record-breaking-11b-seed-round/",
     "quotes": [
      "has raised $1.1 billion in Seed funding, the largest ever in Europe.\" \"at a valuation of $5.1 billion,\" \"co-led by Sequoia (Alfred Lin & Sonya Huang) and Lightspeed (Ravi Mhatre, Raviraj Jain)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/ineffable-intelligence-secures-814m-seed-round-20260428",
     "quotes": [
      "UK-headquartered\" \"$1.1bn (£814m) in seed funding\" \"Ineffable Intelligence is led by David Silver"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.ineffable.ai/",
     "quotes": [
      "Ineffable Intelligence is an AI research company whose mission is to make first contact with superintelligence.\" \"Copyright © 2026 Ineffable Intelligence LTD"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16865241",
     "quotes": [
      "INEFFABLE INTELLIGENCE LTD\" \"Active\" \"19 November 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16865241/officers",
     "quotes": [
      "SILVER, David\" Director \"16 January 2026\"; \"LIN, Alfred\" and \"MHATRE, Ravi\" Director \"17 April 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ineffable.ai/",
     "quotes": [
      "I wrote the following note for myself when deciding to set up Ineffable Intelligence.\" (note credited to David Silver, dated 15th January 2026)",
      "Ineffable Intelligence LTD"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/05/01/over/",
     "quotes": [
      "not a founder"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.ucl.ac.uk/news/2026/apr/ucl-researchers-lead-two-europes-largest-ever-ai-funding-rounds",
     "quotes": [
      "(UCL press office) — \"Ineffable Intelligence, founded in 2025 by David Silver, Professor of Computer Science at UCL"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/10/15/nebius-says-struck-deals-with-uk-ai-labs-welcomes-non-compete-changes/",
     "quotes": [
      "Ineffable Intelligence has struck a deal with Google Cloud to be its preferred cloud partner."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.sovereignai.gov.uk/post/sovereign-ai-invests-in-ineffable-intelligence",
     "quotes": [
      "Sovereign AI is supporting startups, including Ineffable, with access to the UK's largest AI supercomputers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/uk-backs-company-building-breakthrough-ai-that-can-discover-new-knowledge",
     "quotes": [
      "Liz Kendall: \"This investment in Ineffable will support a company at the very frontier of AI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ineffable.ai/blog/nvidia-ineffable-intelligence-team-up-to-build-the-future-of-reinforcement-learning-infrastructure",
     "quotes": [
      "The next frontier of AI is superlearners — systems that learn continuously from experience,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ineffable.ai/terms-and-conditions",
     "quotes": [
      "Ineffable Intelligence Ltd"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "frontier AI research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "null (city not published)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-014",
     "name": "Index Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-014",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-020",
     "name": "Sequoia Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-020",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-021",
     "name": "Lightspeed Venture Partners",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-021",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-055",
     "name": "Alphabet and CapitalG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-055",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-065",
     "name": "DST Global",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-065",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-066",
     "name": "BOND",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-066",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-067",
     "name": "EQT Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-067",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-068",
     "name": "Flying Fish Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-068",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-069",
     "name": "Wellcome Trust (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-069",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-011",
     "name": "Google (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-011",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-065",
     "name": "DST Global",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-065",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-069",
     "name": "Wellcome Trust (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-069",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "GOV-BIST-021",
     "name": "Sovereign AI (Unit / Fund)",
     "page": "government",
     "href": "../../government/bist/#org=GOV-BIST-021",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-024",
     "name": "David Silver",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-024",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-024",
     "name": "David Silver",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-024",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-055",
     "name": "Alphabet and CapitalG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-055",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-055",
     "name": "Alphabet and CapitalG",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-055",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-066",
     "name": "BOND",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-066",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-066",
     "name": "BOND",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-066",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-065",
     "name": "DST Global",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-065",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-065",
     "name": "DST Global",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-065",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-067",
     "name": "EQT Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-067",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-067",
     "name": "EQT Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-067",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-042",
     "name": "Evantic Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-042",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-068",
     "name": "Flying Fish Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-068",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-068",
     "name": "Flying Fish Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-068",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-014",
     "name": "Index Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-014",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-014",
     "name": "Index Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-014",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-020",
     "name": "Sequoia Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-020",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-020",
     "name": "Sequoia Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-020",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Sequoia"
    },
    {
     "kind": "funded_by",
     "name": "Lightspeed"
    },
    {
     "kind": "funded_by",
     "name": "Index"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-013",
   "name": "Recursive Superintelligence",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Came out of stealth on 13 May 2026 having raised over US$650m at a US$4.65bn valuation, in a round led by GV and Greycroft (tech.eu); it has since released an open model, Flint. Companies House shows RECURSIVE SUPERINTELLIGENCE LTD. as Active (checked 31 Oct 2026).",
   "one_line": "Research company building AI systems that improve themselves, starting by automating AI research and the scientific method.",
   "description": "Recursive Superintelligence Ltd. was incorporated in London on 31 December 2025, with Tim Rocktäschel, a UCL professor and former Google DeepMind scientist, as director. tech.eu reports that it was incorporated in London, has offices in London and San Francisco, and is led by chief executive Richard Socher, formerly chief scientist at Salesforce. It says it is building \"the Eureka Machine\", a self-improving system that automates the scientific method. It has published Flint, a 40-billion-parameter mixture-of-experts model for agentic coding on local hardware. The website's copyright line names a US entity, Recursive Superintelligence, Inc.; how the UK and US companies relate was not found. [Round 4, 30 Oct 2026] headcount: under 30 staff (May 2026) [Round 4, 30 Oct 2026] leadership: Richard Socher, CEO (ex-chief scientist, Salesforce); Tim Rocktäschel (UCL professor, ex-Google DeepMind) in founding team [Round 4, 30 Oct 2026] latest round: over $650m at $4.65bn valuation, 13 May 2026; led by GV and Greycroft; NVIDIA and AMD took part [Round 4, 30 Oct 2026] offices: incorporated in London; offices in London and San Francisco [Labs Round 7, 30 Oct 2026] founders: Richard Socher (chief executive; ex-chief scientist, Salesforce); Tim Rocktäschel (UCL professor of AI, ex-Google DeepMind) [Labs Round 7, 30 Oct 2026] city: Incorporated in London; offices in London and San Francisco [Labs Round 7, 30 Oct 2026] headcount: Under 30 (May 2026) [Labs Round 7, 30 Oct 2026] valuation_reported: US$4.65bn (tech.eu, May 2026); FT reported at least $500m at a $4bn pre-money valuation (via UCL, April 2026) [Labs Round 7, 30 Oct 2026] investors_other: NVIDIA and AMD participated (round led by GV and Greycroft) [Labs Round 7, 30 Oct 2026] models_released: Recursive Flint (40B MoE, ~2B active, coding) — new record BIZ-LAB-3001 [Labs Round 7, 30 Oct 2026] mission: \"Eureka Machine\": self-improving AI that automates the scientific method [Labs Round 8, 31 Oct 2026] valuation_reported: $4.65bn (May 2026) [Labs Round 8, 31 Oct 2026] headcount: Fewer than 30 (May 2026) [Labs Round 8, 31 Oct 2026] offices: London; San Francisco [Labs Round 8, 31 Oct 2026] research_focus: AI systems that improve themselves by analysing their own performance, without human intervention [Labs Round 8, 31 Oct 2026] funding_total_as_published: Over $650m (May 2026) led by GV and Greycroft, with Nvidia and AMD participating [Labs Round 8, 31 Oct 2026] Listed on Labs (New labs 2025–26): incorporated in London; came out of stealth 13 May 2026 [Labs Round 8, 31 Oct 2026] Listed on Labs (Algorithm discovery): aims to build AI that improves itself through open-ended algorithms, starting with AI research",
   "uk_status": "uk",
   "company": {
    "ch_number": "16937077",
    "registered_office": "Recursive, Myo King's Cross The Printworks And Glass House, 2 Trematon Walk, London, United Kingdom, N1 9FN",
    "incorporated": "31 December 2025",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "16937077",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/16937077",
    "ch_note": null,
    "ch_name": "RECURSIVE SUPERINTELLIGENCE LTD.",
    "legal_name": "RECURSIVE SUPERINTELLIGENCE LTD.",
    "status_registry": "Active",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "N1 9FN"
   },
   "place": {
    "text": "King's Cross, London (N1 9FN)",
    "postcode": "N1 9FN",
    "lat": 51.533126,
    "lng": -0.121424,
    "region": "England: London",
    "admin_district": "Islington",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Richard Socher",
     "role": "CEO",
     "from": null,
     "source": "https://tech.eu/2026/05/13/recursive-superintelligence-emerges-from-stealth-with-650m-raise/"
    },
    {
     "name": "Tim Rocktäschel",
     "role": "Co-founder; director from 2025-12-31",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/16937077/officers"
    },
    {
     "name": "Richard Socher",
     "role": "CEO",
     "from": "2026",
     "source": "https://tech.eu/2026/05/13/recursive-superintelligence-emerges-from-stealth-with-650m-raise/",
     "round4": true
    },
    {
     "name": "Tim Rocktäschel",
     "role": "founding team (UCL professor)",
     "from": "2026",
     "source": "https://tech.eu/2026/05/13/recursive-superintelligence-emerges-from-stealth-with-650m-raise/",
     "round4": true
    },
    {
     "name": "Richard Socher",
     "role": "chief executive, co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/13/recursive-superintelligence-emerges-from-stealth-with-650m-raise/",
     "round4": true
    },
    {
     "name": "Tim Rocktäschel",
     "role": "co-founder",
     "from": "2026",
     "source": "https://www.ucl.ac.uk/news/2026/apr/ucl-researchers-lead-two-europes-largest-ever-ai-funding-rounds",
     "round4": true
    },
    {
     "name": "Richard Socher",
     "role": "Leads the company (co-founder)",
     "from": "2026-05 (public)",
     "source": "https://thenextweb.com/news/recursive-superintelligence-self-improving-ai-funding",
     "round4": true
    },
    {
     "name": "Tim Rocktäschel",
     "role": "Co-founder",
     "from": "2026-05 (public)",
     "source": "https://thenextweb.com/news/recursive-superintelligence-self-improving-ai-funding",
     "round4": true
    },
    {
     "name": "Yuandong Tian",
     "role": "Co-founder",
     "from": "2026-05 (public)",
     "source": "https://thenextweb.com/news/recursive-superintelligence-self-improving-ai-funding",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 650000000,
     "currency": "USD",
     "date": "2026-05-13",
     "detail": "\"over\" US$650m, led by GV and Greycroft; stage not named",
     "raw": "funding_round: 650000000 USD 2026-05-13 — \"over\" US$650m, led by GV and Greycroft; stage not named",
     "amount_gbp": 480982685,
     "fx_rate": 1.3514,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3514 per £ on 2026-05-13",
     "fx_date": "2026-05-13",
     "fx_note": "",
     "txt": "US$650m",
     "gbp_txt": "£481m"
    },
    {
     "kind": "valuation_reported",
     "amount": 4650000000,
     "currency": "USD",
     "date": "2026-05-13",
     "detail": null,
     "raw": "valuation_reported: 4650000000 USD 2026-05-13",
     "amount_gbp": 3440876128,
     "fx_rate": 1.3514,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3514 per £ on 2026-05-13",
     "fx_date": "2026-05-13",
     "fx_note": "",
     "txt": "US$4.65bn",
     "gbp_txt": "£3.44bn"
    }
   ],
   "site": null,
   "product": {
    "maker": "Recursive Superintelligence",
    "launched": null,
    "what_it_does": "Flint, \"a mixture-of-experts (MoE) model built for fast agentic coding on local hardware\""
   },
   "dsit_domains": [
    "AI development and training",
    "Autonomous and agent systems",
    "Knowledge generation"
   ],
   "sectors": [
    "frontier AI research",
    "self-improving AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-recursive-superintelligence",
   "type": "Companies",
   "category": "frontier AI research",
   "function": "Research company building AI systems that improve themselves, starting by automating AI research and the scientific method.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/05/13/recursive-superintelligence-emerges-from-stealth-with-650m-raise/",
    "https://find-and-update.company-information.service.gov.uk/company/16937077",
    "https://find-and-update.company-information.service.gov.uk/company/16937077/officers",
    "https://www.recursive.com/",
    "https://recursive.com/updates/introducing-recursive-flint",
    "https://find-and-update.company-information.service.gov.uk/company/16937077/persons-with-significant-control"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/05/13/recursive-superintelligence-emerges-from-stealth-with-650m-raise/",
     "quotes": [
      "was incorporated in London and has offices in London and San Francisco.\" \"The fastest path to superintelligence will be realised by AI that recursively improves itself."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16937077",
     "quotes": [
      "RECURSIVE SUPERINTELLIGENCE LTD.\" \"Active\" \"31 December 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16937077/officers",
     "quotes": [
      "ROCKTÄSCHEL, Tim\" \"Director\" \"31 December 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recursive.com/",
     "quotes": [
      "We're building the Eureka Machine, the self-improving superintelligence that automates the scientific method.\" \"© 2026 Recursive Superintelligence, Inc."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://recursive.com/updates/introducing-recursive-flint",
     "quotes": [
      "a mixture-of-experts (MoE) model built for fast agentic coding on local hardware"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16937077/persons-with-significant-control",
     "quotes": [
      "Tim Rocktäschel",
      "Right to appoint or remove directors\" (notified 31 December 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Autonomous and agent systems",
    "Knowledge generation"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "frontier AI research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "King's Cross, London (N1 9FN)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-057",
     "name": "Greycroft",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-057",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-058",
     "name": "AMD (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-058",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-016",
     "name": "GV (Google Ventures)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-016",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-057",
     "name": "Greycroft",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-057",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-058",
     "name": "AMD (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-058",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-025",
     "name": "Richard Socher",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-025",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-026",
     "name": "Tim Rocktäschel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-026",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-026",
     "name": "Tim Rocktäschel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-026",
     "page_label": "Talent"
    }
   ],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-3001"
   ]
  },
  {
   "id": "BIZ-LAB-014",
   "name": "Inherent",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Came out of stealth on 29 May 2026 with a US$50m seed round co-led by Index Ventures and Radical Ventures. Companies House shows INHERENT LABORATORIES LTD as Active (checked 31 Oct 2026).",
   "one_line": "London research lab building Faraday, an AI system meant to let scientists and self-improving AI work together on research.",
   "description": "Inherent Laboratories Ltd was incorporated on 16 January 2026 with Tantum Collins as director. tech.eu and UKTN describe Inherent as a London-based AI lab founded by Tantum Collins, Edward Hughes and Louis Kirsch, who worked at DeepMind, with Kaloyan Aleksiev, formerly of Reka AI and Microsoft. Its system, Faraday, is meant to let humans and self-improving AI work together on scientific discovery. Its website says it has incorporated as a Public Benefit Corporation, a US legal form; the UK company is a private limited company. It raised a US$50m seed round in May 2026. [Round 4, 30 Oct 2026] product: Faraday, an AI system for humans and self-improving AI to work together on scientific problems [Round 4, 30 Oct 2026] founders: Tantum Collins, Edward Hughes, Louis Kirsch (ex-DeepMind); Kaloyan Aleksiev (ex-Reka AI, Microsoft); adviser Matt Clifford [Round 4, 30 Oct 2026] latest round: $50m seed, 29 May 2026; tech.eu says Index Ventures and Radical Ventures co-led; UKTN says Index led [Labs Round 7, 30 Oct 2026] legal_name: Inherent Laboratories (public benefit corporation) [Labs Round 7, 30 Oct 2026] founders: Tantum Collins, Edward Hughes, Louis Kirsch (all ex-DeepMind); Kaloyan Aleksiev (ex-Reka AI, Microsoft); adviser Matt Clifford [Labs Round 7, 30 Oct 2026] chief_scientist: Edward Hughes (co-founder and chief scientist) [Labs Round 7, 30 Oct 2026] headcount: About 12 (Aug 2026); plans \"about 20 to 25\" by end of 2026; office in King's Cross, London [Labs Round 7, 30 Oct 2026] investors_other: NVentures (NVIDIA), Ex/Ante, Metaplanet, Macroscopic Ventures, Mythos Ventures (seed co-led by Index Ventures and Radical Ventures) [Labs Round 7, 30 Oct 2026] papers: \"Training AI Scientists to Replicate Research\" (14 Aug 2026), with arXiv paper; Faraday (27B) and Replica task set (100 papers, 310 tasks) — new record BIZ-LAB-3002 [Labs Round 7, 30 Oct 2026] governance: Says it will announce the members and powers of a societal-benefit board within six months (date of statement not given) [Labs Round 8, 31 Oct 2026] founders: Tantum Collins, Edward Hughes, Louis Kirsch (all formerly DeepMind; Collins also White House AI policy); Kaloyan Aleksiev (formerly Reka AI and Microsoft) [Labs Round 8, 31 Oct 2026] status_now: Active; set up as a public benefit corporation (May 2026) [Labs Round 8, 31 Oct 2026] Listed on Labs (New labs 2025–26): London AI lab that came out of stealth on 29 May 2026 [Labs Round 8, 31 Oct 2026] Listed on Labs (Algorithm discovery): building Faraday (BIZ-LAB-3002), an AI system in which humans and self-improving AI work on scientific problems (AI-scientist category)",
   "uk_status": "uk",
   "company": {
    "ch_number": "16968849",
    "registered_office": "3rd Floor 1 Ashley Road, Altrincham, Cheshire, United Kingdom, WA14 2DT",
    "incorporated": "16 January 2026",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "16968849",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/16968849",
    "ch_note": null,
    "ch_name": "INHERENT LABORATORIES LTD",
    "legal_name": "INHERENT LABORATORIES LTD",
    "status_registry": "Active",
    "sic_codes": [
     "62012",
     "72190"
    ],
    "registered_office_postcode": "WA14 2DT"
   },
   "place": {
    "text": "London (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Tantum Collins",
     "role": "Co-founder; director from 2026-01-16",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/16968849/officers"
    },
    {
     "name": "Edward Hughes",
     "role": "Co-founder",
     "from": null,
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/"
    },
    {
     "name": "Louis Kirsch",
     "role": "Co-founder",
     "from": null,
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/"
    },
    {
     "name": "Kaloyan Aleksiev",
     "role": "Co-founder",
     "from": null,
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/"
    },
    {
     "name": "Tantum Collins",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Edward Hughes",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Louis Kirsch",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Kaloyan Aleksiev",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Edward Hughes",
     "role": "co-founder and chief scientist",
     "from": "2026",
     "source": "https://techcrunch.com/2026/08/22/inherent-founded-by-deepmind-alumni-says-its-ai-teammate-just-outperformed-anthropic-and-openai-at-replicating-research/",
     "round4": true
    },
    {
     "name": "Tantum Collins",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Louis Kirsch",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Kaloyan Aleksiev",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Matt Clifford",
     "role": "adviser",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Tantum Collins",
     "role": "Co-Founder & CEO",
     "from": null,
     "source": "https://radical.vc/portfolio/inherent/",
     "round4": true
    },
    {
     "name": "Edward Hughes",
     "role": "Co-Founder & Chief Scientist",
     "from": null,
     "source": "https://radical.vc/portfolio/inherent/",
     "round4": true
    },
    {
     "name": "Louis Kirsch",
     "role": "Co-Founder",
     "from": null,
     "source": "https://radical.vc/portfolio/inherent/",
     "round4": true
    },
    {
     "name": "Kaloyan Aleksiev",
     "role": "Co-Founder & CTO",
     "from": null,
     "source": "https://radical.vc/portfolio/inherent/",
     "round4": true
    },
    {
     "name": "Matt Clifford",
     "role": "adviser",
     "from": "2026-05",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Kaloyan Aleksiev",
     "role": "Co-founder (formerly Reka AI and Microsoft)",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    },
    {
     "name": "Matt Clifford",
     "role": "Adviser",
     "from": "2026",
     "source": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 50000000,
     "currency": "USD",
     "date": "2026-05-29",
     "detail": "seed, co-led by Index Ventures and Radical Ventures",
     "raw": "funding_round: 50000000 USD 2026-05-29 — seed, co-led by Index Ventures and Radical Ventures",
     "amount_gbp": 37097492,
     "fx_rate": 1.3478,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3478 per £ on 2026-05-29",
     "fx_date": "2026-05-29",
     "fx_note": "",
     "txt": "US$50m",
     "gbp_txt": "£37.1m"
    }
   ],
   "site": null,
   "product": {
    "maker": "Inherent",
    "launched": null,
    "what_it_does": "Faraday, \"an AI system that, it says, allows humans and self-improving AI to work together\""
   },
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation"
   ],
   "sectors": [
    "frontier AI research",
    "AI for science"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-inherent",
   "type": "Companies",
   "category": "frontier AI research",
   "function": "London research lab building Faraday, an AI system meant to let scientists and self-improving AI work together on research.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
    "https://www.uktech.news/ai/london-based-ai-lab-inherent-emerges-from-stealth-with-40m-raise-20260529",
    "https://inherentlabs.ai/",
    "https://find-and-update.company-information.service.gov.uk/company/16968849",
    "https://find-and-update.company-information.service.gov.uk/company/16968849/officers",
    "https://techcrunch.com/2026/08/22/inherent-founded-by-deepmind-alumni-says-its-ai-teammate-just-outperformed-anthropic-and-openai-at-replicating-research/",
    "https://thenextweb.com/news/inherent-ai-50-million-seed-deepmind-faraday-science",
    "https://inherentlabs.ai/research/training-to-replicate",
    "https://radical.vc/portfolio/inherent/",
    "https://inherentlabs.ai/research/",
    "https://www.newsbytesapp.com/news/science/deepmind-alumni-s-ai-agent-faraday-outperforms-openai-and-anthropic-models/story"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/",
     "quotes": [
      "London-based AI lab\" \"$50m seed round\" \"co-led by Index Ventures and Radical Ventures\" \"Co-founders Tantum Collins, Edward Hughes and Louis Kirsch previously worked at DeepMind"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/london-based-ai-lab-inherent-emerges-from-stealth-with-40m-raise-20260529",
     "quotes": [
      "London-based AI lab\" \"$50m (£37.2m) fund raise"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://inherentlabs.ai/",
     "quotes": [
      "Inherent will recursively self-improve to discover new knowledge.\" \"We have incorporated Inherent as a Public Benefit Corporation."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16968849",
     "quotes": [
      "INHERENT LABORATORIES LTD\" \"Active\" \"16 January 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16968849/officers",
     "quotes": [
      "COLLINS, Tantum Stuart\" \"Director\" \"16 January 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techcrunch.com/2026/08/22/inherent-founded-by-deepmind-alumni-says-its-ai-teammate-just-outperformed-anthropic-and-openai-at-replicating-research/",
     "quotes": [
      "co-founder and chief scientist Edward Hughes said."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://thenextweb.com/news/inherent-ai-50-million-seed-deepmind-faraday-science",
     "quotes": [
      "Nvidia's venture arm NVentures also participated, alongside Ex/Ante, Metaplanet, Macroscopic Ventures, and Mythos Ventures."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://inherentlabs.ai/research/training-to-replicate",
     "quotes": [
      "Faraday produces more faithful replications for every category of paper in the task suite"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://radical.vc/portfolio/inherent/",
     "quotes": [
      "Inherent is a London-based AI research lab building general-purpose inventive AI to accelerate scientific discovery"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://inherentlabs.ai/research/",
     "quotes": [
      "Training AI Scientists to Replicate Research"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.newsbytesapp.com/news/science/deepmind-alumni-s-ai-agent-faraday-outperforms-openai-and-anthropic-models/story",
     "quotes": [
      "(trade) — \"only 27 billion parameters"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "frontier AI research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-014",
     "name": "Index Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-014",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-025",
     "name": "Radical Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-025",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-014",
     "name": "Index Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-014",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-025",
     "name": "Radical Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-025",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-TAL-178",
     "name": "Matt Clifford",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-178",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-027",
     "name": "Tantum Collins",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-027",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-027",
     "name": "Tantum Collins",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-027",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-028",
     "name": "Edward Hughes",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-028",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-028",
     "name": "Edward Hughes",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-028",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-029",
     "name": "Louis Kirsch",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-029",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-029",
     "name": "Louis Kirsch",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-029",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-030",
     "name": "Kaloyan Aleksiev",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-030",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-030",
     "name": "Kaloyan Aleksiev",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-030",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-014",
     "name": "Index Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-014",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-014",
     "name": "Index Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-014",
     "page_label": "Investors"
    }
   ],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-3002"
   ]
  },
  {
   "id": "BIZ-LAB-015",
   "name": "Metis Reasoning",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-20",
   "status_detail": "Launched publicly on 20 October 2026 with a 12-strong team; its company was incorporated on 25 August 2026.",
   "one_line": "New company developing an AI reasoning system meant to be easier to check and to need far less computing power than today's large models.",
   "description": "Metis Reasoning Limited was incorporated on 25 August 2026 with Thore Graepel and Piers Ingram as directors. Graepel, a co-creator of AlphaGo, left Google DeepMind in summer 2026. tech.eu calls it a London-based company with 12 staff and names two more co-founders, Michael Warren and David Berman. Its website says it is developing a new approach to machine reasoning for high-stakes fields and links to a white paper dated October 2026. Funding is undisclosed; tech.eu reports it is \"initially raising tens of millions of dollars\", which the company did not confirm. Its registered office is in Cambridge. [Round 4, 30 Oct 2026] founders: Thore Graepel (co-creator of AlphaGo, former Google DeepMind research lead, left summer 2026); Piers Ingram; Michael Warren; David Berman [Round 4, 30 Oct 2026] headcount: 12 (October 2026) [Round 4, 30 Oct 2026] status / approach: Launched 20 Oct 2026 in London; \"compute-efficient\" reasoning approach as an alternative to LLMs, aimed at robotics and engineering; reportedly raising \"tens of millions of dollars\", investors not named [Labs Round 7, 30 Oct 2026] status_now: Launched publicly 20 Oct 2026 (London) [Labs Round 7, 30 Oct 2026] founders: Thore Graepel (AlphaGo co-creator, ex-DeepMind research lead); Piers Ingram (serial tech and biotech entrepreneur); Michael Warren (robotics, ex-Boeing); David Berman (head of AI, Cambridge Consultants) [Labs Round 7, 30 Oct 2026] headcount: 12 (Oct 2026) [Labs Round 7, 30 Oct 2026] latest_money: Reported to be raising \"tens of millions of dollars\" initially; amount and investors not confirmed [Labs Round 7, 30 Oct 2026] models_released: None yet (Oct 2026); white paper \"The Age of Reasoning\" (Oct 2026) [Labs Round 7, 30 Oct 2026] approach: Compute-efficient, verifiable reasoning aimed at robotics, science and engineering, not ever-larger models [Labs Round 8, 31 Oct 2026] founders: Founding team: Thore Graepel (former Google DeepMind research lead, AlphaGo co-creator); Piers Ingram (technology and biotech entrepreneur); Michael Warren (robotics and autonomous systems, formerly Boeing); David Berman (head of AI at Cambridge Consultants, per tech.eu) [Labs Round 8, 31 Oct 2026] headcount: 12 (Oct 2026) [Labs Round 8, 31 Oct 2026] offices: London; Singapore; Los Angeles [Labs Round 8, 31 Oct 2026] what_it_does: A new approach to generalisable machine reasoning, aimed at embodied AI, science and engineering, where correctness is critical [Labs Round 8, 31 Oct 2026] research_focus: Reasoning framed as a \"game of inquiry\" (modelled on AlphaGo); learned reasoning strategies advance an explicit, persistent epistemic state, keeping knowledge separate from reasoning for auditability [Labs Round 8, 31 Oct 2026] status_now: Launched 20 Oct 2026; reported to be raising \"tens of millions of dollars\" (amount not confirmed by the company); timing of first public model not set [Labs Round 8, 31 Oct 2026] news: 2026-10-20 — Former Google DeepMind top researcher launches London \"compute-efficient\" AI company — https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/ [Labs Round 8, 31 Oct 2026] Listed on Labs (New labs 2025–26): London AI company launched publicly on 20 Oct 2026 [Labs Round 9, 31 Oct 2026] Alex's Labs file (line 208, dated 2026-10-20): the file says Metis Reasoning was unveiled at NVIDIA GTC Berlin with a white paper on scientific reasoning AI, and that its design stores claims in an external ledger that a separate module checks against cited evidence (file cites tech.eu and the-decoder.com).",
   "uk_status": "uk",
   "company": {
    "ch_number": "17419178",
    "registered_office": "Cambridge, CB2 (full address on Companies House; may be a residential address, so not repeated here)",
    "incorporated": "25 August 2026",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": "12, 2026-10-20, tech.eu",
    "ch_number_clean": "17419178",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/17419178",
    "ch_note": null,
    "ch_name": "METIS REASONING LIMITED",
    "legal_name": "METIS REASONING LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "62012",
     "72190"
    ],
    "registered_office_postcode": "CB1 2LA"
   },
   "place": {
    "text": "London (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Thore Graepel",
     "role": "Founder; director from 2026-08-25",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/17419178/officers"
    },
    {
     "name": "Piers Ingram",
     "role": "Co-founder; director from 2026-08-25",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/17419178/officers"
    },
    {
     "name": "Michael Warren",
     "role": "Co-founder",
     "from": null,
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/"
    },
    {
     "name": "David Berman",
     "role": "Co-founder",
     "from": null,
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/"
    },
    {
     "name": "Thore Graepel",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Piers Ingram",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Michael Warren",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "David Berman",
     "role": "co-founder (also head of AI, Cambridge Consultants)",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Thore Graepel",
     "role": "co-founder (left Google DeepMind summer 2026)",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Piers Ingram",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Michael Warren",
     "role": "co-founder (robotics and autonomous systems)",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "David Berman",
     "role": "co-founder; head of AI, Cambridge Consultants",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Thore Graepel",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Piers Ingram",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Michael Warren",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "David Berman",
     "role": "co-founder",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Thore Graepel",
     "role": "Founding team member; former Google DeepMind research lead and AlphaGo co-creator",
     "from": "2026",
     "source": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "round4": true
    },
    {
     "name": "Piers Ingram",
     "role": "Founding team member (technology and biotech entrepreneur)",
     "from": "2026",
     "source": null,
     "round4": true
    },
    {
     "name": "Michael Warren",
     "role": "Founding team member (robotics and autonomous systems; experience at Boeing)",
     "from": "2026",
     "source": null,
     "round4": true
    },
    {
     "name": "David Berman",
     "role": "Founding team member; described as head of AI at Cambridge Consultants and a UK government and NATO AI adviser",
     "from": "2026",
     "source": null,
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "note",
     "amount": null,
     "currency": null,
     "date": null,
     "detail": null,
     "raw": "null (undisclosed)",
     "kind_as_written": null,
     "amount_gbp": null,
     "fx_rate": null,
     "fx_source": null,
     "fx_note": "no amount published",
     "txt": "",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation"
   ],
   "sectors": [
    "AI reasoning",
    "frontier AI research"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-metis-reasoning",
   "type": "Companies",
   "category": "AI reasoning",
   "function": "New company developing an AI reasoning system meant to be easier to check and to need far less computing power than today's large models.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
    "https://metisreasoning.ai/",
    "https://find-and-update.company-information.service.gov.uk/company/17419178",
    "https://find-and-update.company-information.service.gov.uk/company/17419178/officers",
    "https://metisreasoning.ai/#top",
    "https://thenextweb.com/news/metis-reasoning-thore-graepel-alphago-london-ai-lab",
    "https://metisreasoning.ai/whitepaper/the-age-of-reasoning-2026-10.pdf"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/10/20/former-google-deepmind-top-researcher-launches-london-compute-efficient-ai-company/",
     "quotes": [
      "London-based AI company\" \"left Google DeepMind this summer\" \"co-creator of AlphaGo\" \"12-strong team"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://metisreasoning.ai/",
     "quotes": [
      "Metis Reasoning is developing a new approach to generalizable machine reasoning to tackle complex problems"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/17419178",
     "quotes": [
      "METIS REASONING LIMITED\" \"Active\" \"25 August 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/17419178/officers",
     "quotes": [
      "GRAEPEL, Thore Kurt Hartwig\" \"INGRAM, Piers Jamie\" \"Director\" \"25 August 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://metisreasoning.ai/#top",
     "quotes": [
      "Intelligence from first principles.\" ; tech.eu — \"It is unclear when Metis will publicly launch its first AI model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://thenextweb.com/news/metis-reasoning-thore-graepel-alphago-london-ai-lab",
     "quotes": [
      "(trade) — \"no amount of scaling can solve"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://metisreasoning.ai/whitepaper/the-age-of-reasoning-2026-10.pdf",
     "quotes": [
      "London, Singapore, Los Angeles"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-031",
     "name": "Thore Graepel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-031",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-031",
     "name": "Thore Graepel",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-031",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-032",
     "name": "Piers Ingram",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-032",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-032",
     "name": "Piers Ingram",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-032",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-033",
     "name": "Michael Warren",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-033",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-033",
     "name": "Michael Warren",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-033",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-034",
     "name": "David Berman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-034",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-034",
     "name": "David Berman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-034",
     "page_label": "Talent"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-016",
   "name": "Hiverge",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-13",
   "status_detail": "NVIDIA announced a planned investment in Hiverge on 13 October 2026 (amount not disclosed).",
   "one_line": "Builds a platform that runs thousands of AI research agents to discover and improve computer algorithms.",
   "description": "Hiverge Ltd was incorporated in Cambridge in April 2024. It was co-founded by Alhussein Fawzi (chief executive), who founded the Algorithmic Discovery team at Google DeepMind, Bernardino Romera-Paredes (chief technology officer), formerly of Google DeepMind and AlphaFold, and Hamza Fawzi (chief scientist), a professor of mathematics at the University of Cambridge. Its platform, the Hive, \"orchestrates thousands of AI research agents\" to find new algorithms; published case studies include planning for Airbus Beluga aircraft. NVIDIA named it among five UK start-ups in which it plans to invest in October 2026. [Round 4, 30 Oct 2026] investor: NVIDIA investment announced 13 Oct 2026 [Labs Round 7, 30 Oct 2026] founders: Alhussein Fawzi (co-founder, chief executive; founded DeepMind's Algorithmic Discovery team; co-inventor of AlphaTensor and FunSearch); Bernardino Romera-Paredes (co-founder, CTO; ex-DeepMind, AlphaFold); Hamza Fawzi (co-founder, chief scientist; Cambridge professor of mathematics) [Labs Round 7, 30 Oct 2026] city: Cambridge (20 Station Road, CB1 2JD) [Labs Round 7, 30 Oct 2026] rounds: Seed US$5m led by Flying Fish Ventures (announced 17 Sep 2025) — DEAL-LAB-3001 [Labs Round 7, 30 Oct 2026] customers: Logos shown: Airbus, AWS, NVIDIA, Quantinuum; Airbus Beluga planning case study [Labs Round 7, 30 Oct 2026] models_released: The Hive platform — new record BIZ-LAB-3003",
   "uk_status": "uk",
   "company": {
    "ch_number": "15650207",
    "registered_office": "20 Station Road, Cambridge, England, CB1 2JD",
    "incorporated": "16 April 2024",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15650207",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15650207",
    "ch_note": null,
    "ch_name": "HIVERGE LTD",
    "legal_name": "HIVERGE LTD",
    "status_registry": "Active",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "CB1 2JD"
   },
   "place": {
    "text": "20 Station Road, Cambridge (CB1 2JD)",
    "postcode": "CB1 2JD",
    "lat": 52.194439,
    "lng": 0.133975,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Alhussein Fawzi",
     "role": "Co-founder and CEO",
     "from": null,
     "source": "https://hiverge.ai/"
    },
    {
     "name": "Bernardino Romera-Paredes",
     "role": "Co-founder and CTO",
     "from": null,
     "source": "https://hiverge.ai/"
    },
    {
     "name": "Hamza Fawzi",
     "role": "Co-founder and Chief Scientist",
     "from": null,
     "source": "https://hiverge.ai/"
    },
    {
     "name": "Alhussein Fawzi",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://hiverge.ai/",
     "round4": true
    },
    {
     "name": "Bernardino Romera-Paredes",
     "role": "co-founder and CTO",
     "from": null,
     "source": "https://hiverge.ai/",
     "round4": true
    },
    {
     "name": "Hamza Fawzi",
     "role": "co-founder and chief scientist",
     "from": null,
     "source": "https://hiverge.ai/",
     "round4": true
    },
    {
     "name": "Alhussein Fawzi",
     "role": "Co-founder and CEO",
     "from": null,
     "source": "https://hiverge.ai/",
     "round4": true
    },
    {
     "name": "Bernardino Romera-Paredes",
     "role": "Co-founder and CTO",
     "from": null,
     "source": "https://hiverge.ai/",
     "round4": true
    },
    {
     "name": "Hamza Fawzi",
     "role": "Co-founder and Chief Scientist",
     "from": null,
     "source": "https://hiverge.ai/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "note",
     "amount": null,
     "currency": null,
     "date": null,
     "detail": null,
     "raw": "null (NVIDIA investment planned; amount not disclosed)",
     "kind_as_written": null,
     "amount_gbp": null,
     "fx_rate": null,
     "fx_source": null,
     "fx_note": "no amount published",
     "txt": "",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Autonomous and agent systems",
    "Knowledge generation"
   ],
   "sectors": [
    "algorithm discovery",
    "AI research agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "algorithm discovery",
   "function": "Builds a platform that runs thousands of AI research agents to discover and improve computer algorithms.",
   "affiliation": "Labs",
   "sources": [
    "https://hiverge.ai/",
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://tech.eu/2026/10/15/nvidia-bets-on-five-uk-startups/",
    "https://find-and-update.company-information.service.gov.uk/company/15650207",
    "https://hiverge.ai/blog/introducing-hiverge-our-mission-and-early-results",
    "https://techfundingnews.com/nvidia-pledges-250m-of-compute-to-uk-ai-safety-and-plans-stakes-in-boltz-foresight-and-hiverge/",
    "https://hiverge.ai/blog/accelerating-ai-training-made-simple",
    "https://hiverge.ai/blog/quantinuum-nvidia-collaboration"
   ],
   "source_quotes": [
    {
     "url": "https://hiverge.ai/",
     "quotes": [
      "orchestrates thousands of AI research agents\" \"Co-founder and CEO\" \"20 Station Road, Cambridge, CB1 2JD, United Kingdom"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "announced new planned investments in Boltz, Foresight, Hiverge, Prima Mente and Riverlane\" \"a Cambridge-based AI startup founded by researchers from Google DeepMind and the University of Cambridge"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/10/15/nvidia-bets-on-five-uk-startups/",
     "quotes": [
      "is understood to be taking a minority stake in the five startups"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15650207",
     "quotes": [
      "HIVERGE LTD\" \"Active\" \"16 April 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://hiverge.ai/blog/introducing-hiverge-our-mission-and-early-results",
     "quotes": [],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techfundingnews.com/nvidia-pledges-250m-of-compute-to-uk-ai-safety-and-plans-stakes-in-boltz-foresight-and-hiverge/",
     "quotes": [
      "(trade) — \"Cambridge-based Hiverge was founded by former Google DeepMind and University of Cambridge researchers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://hiverge.ai/blog/accelerating-ai-training-made-simple",
     "quotes": [
      "training an image classification model in just 1.99 seconds"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://hiverge.ai/blog/quantinuum-nvidia-collaboration",
     "quotes": [
      "They are simulated on powerful NVIDIA GPUs running on AWS before they are validated on Quantinuum's quantum hardware."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "algorithm discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "20 Station Road, Cambridge (CB1 2JD)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-035",
     "name": "Alhussein Fawzi",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-035",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-035",
     "name": "Alhussein Fawzi",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-035",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-036",
     "name": "Bernardino Romera-Paredes",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-036",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-036",
     "name": "Bernardino Romera-Paredes",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-036",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-037",
     "name": "Hamza Fawzi",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-037",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-037",
     "name": "Hamza Fawzi",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-037",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Quantinuum"
    },
    {
     "kind": "partner_of",
     "name": "AWS"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-3003"
   ]
  },
  {
   "id": "BIZ-LAB-017",
   "name": "Prima Mente",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-13",
   "status_detail": "NVIDIA announced a planned investment in Prima Mente on 13 October 2026 (amount not disclosed).",
   "one_line": "AI biology company that generates its own data and builds biological foundation models, starting with Alzheimer's, Parkinson's and other brain diseases.",
   "description": "Prima Mente describes itself as an AI biology company that generates its own data and builds general-purpose biological foundation models, with the brain as its first target. Its news page lists the launch of Pleiades, a whole-epigenome foundation model, in July 2025, a Longitude Prize on ALS Discovery Award in May 2026, and a case study on the Isambard-AI supercomputer in July 2026. NVIDIA calls it London-based and announced a planned investment on 13 October 2026. Its team is based in London, San Francisco and the UAE. No founder roles, funding rounds or UK company were found on pages opened. [Round 4, 30 Oct 2026] investor: NVIDIA investment announced 13 Oct 2026 [Round 4, 30 Oct 2026] compute / people: UK AIRR compute through Sovereign AI (16 Apr 2026); Ravi Solanki, co-founder [Round 6, 30 Oct 2026] public compute: 1 million GPU hours on Isambard-AI through the Sovereign AI Fund; one of six firms in the 2026-04-16 AIRR compute round; with Imperial (Hannah Madan, Dr Ivan Koychev) building dementia blood-test models including the 100-billion-parameter Pleiades 2 [Labs Round 7, 30 Oct 2026] models_released: Building biological foundation models; one of six start-ups given AI Research Resource compute by Sovereign AI (six recipients together: over 3 million GPU hours, est. £14m) [Labs Round 8, 31 Oct 2026] offices: London; San Francisco; an emerging office in the United Arab Emirates [Labs Round 8, 31 Oct 2026] chief_executive: Ravi Solanki — CEO and co-founder (physician) [Labs Round 8, 31 Oct 2026] founders: Ravi Solanki — co-founder and CEO; Hannah Madan — co-founder (pharmacology and business background) [Labs Round 8, 31 Oct 2026] models_released: Pleiades, 90M/600M/7B parameters, 16 Jul 2025 (BIZ-LAB-10007); Pleiades-Neuron, research post 24 Oct 2026 (BIZ-LAB-10008) [Labs Round 8, 31 Oct 2026] compute: Pleiades 7B trained on 256 NVIDIA H200 GPUs (Quantum-2 InfiniBand); 32-GPU reserved Nebius cluster on H200; plan to scale Pleiades beyond 100B parameters on NVIDIA Blackwell [Labs Round 8, 31 Oct 2026] research_focus: AI that reads DNA sequence, gene expression and epigenetic regulation to understand and tackle brain diseases such as Alzheimer's and Parkinson's [Labs Round 8, 31 Oct 2026] customers_or_partners: Academic collaborators University of Oxford, Hebrew University of Jerusalem, University of Gothenburg (Jul 2025); Goodfire (interpretability, Jan 2026); NVIDIA and Nebius (compute) [Labs Round 8, 31 Oct 2026] key_facts: Company figures: 0.89 accuracy for early Alzheimer's and Parkinson's detection from blood, 0.97 with protein tests; 1.9 trillion training tokens [Labs Round 8, 31 Oct 2026] customers_or_partners: Nebius (Scaling Pleiades customer story, June 2026: pre-training throughput up 12% to 1.19 million tokens per second on 16 nodes); NVIDIA case study (2 Feb 2026); Goodfire interpretability study on Alzheimer's biomarkers (28 Jan 2026); clinical studies SANDBOX (21 NHS sites, target over 1,000 patients) and READOUT (led by University of Oxford) [Labs Round 8, 31 Oct 2026] models_released: Pleiades (16 Jul 2025; 90M, 600M, 7B), Prima Daedalus (24 Sep 2026), Pleiades-Neuron (24 Oct 2026); Nebius story describes scaling from 7B toward more than 100B parameters",
   "uk_status": "uk",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "London (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Ravi Solanki",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Ravi Solanki",
     "role": "Co-Founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Hannah Madan",
     "role": "co-founder",
     "from": null,
     "source": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "round4": true
    },
    {
     "name": "Jonathan Wan",
     "role": "co-founder",
     "from": null,
     "source": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "round4": true
    },
    {
     "name": "Ravi Solanki",
     "role": "Co-founder and CEO",
     "from": null,
     "source": null,
     "round4": true
    },
    {
     "name": "Hannah Madan",
     "role": "Co-founder",
     "from": null,
     "source": "https://nebius.com/customer-stories/prima-mente",
     "round4": true
    },
    {
     "name": "Luca Giacomoni",
     "role": "Lead AI engineer",
     "from": "Aug 2025",
     "source": "https://nebius.com/customer-stories/prima-mente",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "note",
     "amount": null,
     "currency": null,
     "date": null,
     "detail": null,
     "raw": "null (NVIDIA investment planned; amount not disclosed)",
     "kind_as_written": null,
     "amount_gbp": null,
     "fx_rate": null,
     "fx_source": null,
     "fx_note": "no amount published",
     "txt": "",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": {
    "maker": "Prima Mente",
    "launched": "2025-07-16",
    "what_it_does": "Pleiades, \"a Large Scale Human Whole Epigenome Foundation Model with Clinical Applications for Alzheimer's Disease\" (title of a Business Wire release listed on the company's news page)"
   },
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "neuroscience",
    "biology",
    "scientific foundation models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "neuroscience",
   "function": "AI biology company that generates its own data and builds biological foundation models, starting with Alzheimer's, Parkinson's and other brain diseases.",
   "affiliation": "Labs",
   "sources": [
    "https://www.primamente.com/",
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://www.primamente.com/news/",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=PrimaMente",
    "https://www.primamente.com/news/",
    "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
    "https://www.bristol.ac.uk/research/centres/bristol-supercomputing/articles/2026/stories-from-a-sovereign-ai-supercomputer-.html",
    "https://www.sovereignai.gov.uk/post/our-first-investments",
    "https://www.primamente.com/blog/pleiades-july-2025/",
    "https://www.primamente.com/research/",
    "https://sovereignai.gov.uk/post/our-first-investments",
    "https://www.telecomtv.com/content/digital-platforms-services/how-the-uk-is-turning-sovereign-ai-ambition-into-action-with-nvidia-technologies-55622/",
    "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
    "https://nebius.com/customer-stories/prima-mente",
    "https://www.biospace.com/press-releases/prima-mente-launches-pleiades-a-large-scale-human-whole-epigenome-foundation-model-with-clinical-applications-for-alzheimers-disease",
    "https://www.nvidia.com/en-us/case-studies/primamente/",
    "https://www.primamente.com/pleiades.pdf"
   ],
   "source_quotes": [
    {
     "url": "https://www.primamente.com/",
     "quotes": [
      "an AI biology company.\" \"We generate our own data, build general purpose biological foundation models\" \"based in London, San Francisco, and the UAE"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "a London-based AI biology startup, focuses on building biological foundation models."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.primamente.com/news/",
     "quotes": [
      "Prima Mente Launches Pleiades, a Large Scale Human Whole Epigenome Foundation Model with Clinical Applications for Alzheimer's Disease\" (July 16, 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=PrimaMente",
     "quotes": [
      "There are no results that match your search."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.primamente.com/news/",
     "quotes": [
      "lists \"NVIDIA Announces New Investments in the UK Startup Ecosystem\" (October 13, 2026)",
      "Made in London, San Francisco and the UAE"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "quotes": [
      "Prima Mente is using AI to decode the languages of biology"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.bristol.ac.uk/research/centres/bristol-supercomputing/articles/2026/stories-from-a-sovereign-ai-supercomputer-.html",
     "quotes": [
      "Access to Isambard-AI's one million GPU hours came through the UK's Sovereign AI Fund.\"; https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai — \"A further 6 startups will receive access to the AI Research Resource (AIRR) supercomputer network"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sovereignai.gov.uk/post/our-first-investments",
     "quotes": [
      "building biological foundation models to decode the language of biology"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.primamente.com/blog/pleiades-july-2025/",
     "quotes": [
      "Pleiades represents a series of transformers (90M, 600M, and 7B parameters)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.primamente.com/research/",
     "quotes": [
      "multi-agent workflows that turn published assays into verified model-ready training data"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://sovereignai.gov.uk/post/our-first-investments",
     "quotes": [
      "Prima Mente is building biological foundation models to decode the language of biology"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.telecomtv.com/content/digital-platforms-services/how-the-uk-is-turning-sovereign-ai-ambition-into-action-with-nvidia-technologies-55622/",
     "quotes": [
      "(trade) — \"With its Isambard allocation, the company is developing Pleiades 2,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "quotes": [
      "(trade) — \"Prima Mente is building AI for neuroscience."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://nebius.com/customer-stories/prima-mente",
     "quotes": [
      "with hubs in London, San Francisco, and an emerging office in the United Arab Emirates (UAE)\"; BioSpace release 16 Jul 2025 — \"Prima Mente is based in San Francisco and London."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.biospace.com/press-releases/prima-mente-launches-pleiades-a-large-scale-human-whole-epigenome-foundation-model-with-clinical-applications-for-alzheimers-disease",
     "quotes": [
      "CEO of Prima Mente\"; GOV.UK 16 Apr 2026 — \"Ravi Solanki, Co-Founder of Prima Mente"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nvidia.com/en-us/case-studies/primamente/",
     "quotes": [
      "The Pleiades 7B model was trained on 256 NVIDIA H200 GPUs and interconnected via the NVIDIA Quantum-2 InfiniBand platform."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.primamente.com/pleiades.pdf",
     "quotes": [
      "Gene regulation in humans extends beyond the four-letter genetic code.\" (affiliations listed on the paper); BioSpace 16 Jul 2025"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "neuroscience",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: supplies",
     "id": "BIZ-BIG-021",
     "name": "Nebius (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-021",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [
    {
     "kind": "buys_from",
     "name": "Isambard-AI (Bristol Centre for Supercomputing; case study)"
    }
   ],
   "degree": 3,
   "related_ids": [
    "BIZ-LAB-10007",
    "BIZ-LAB-14050",
    "BIZ-LAB-14051"
   ]
  },
  {
   "id": "BIZ-LAB-018",
   "name": "Conjecture",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "The company is active at Companies House; the latest dated item on its site is a roadmap published on 2 December 2024. Accounts for 2025 were due by 30 September 2026 and were not shown as overdue. Companies House shows CONJECTURE LTD as Active (checked 31 Oct 2026).",
   "one_line": "London AI research company building large language models and a new AI design meant to keep advanced AI controllable and auditable.",
   "description": "Conjecture was founded in London in March 2022 by Connor Leahy, Sid Black and Gabriel Alfour, coming out of EleutherAI. It works on AI safety and alignment, builds large language models, and pursues an approach it calls Cognitive Emulation, aimed at \"scalable, auditable, controllable AI systems\". Its UK company was incorporated on 9 March 2022; Connor Leahy is the sole active director, and Sidney Thomas Black resigned as director on 20 December 2023. No funding rounds were confirmed on pages opened this session. [Labs Round 7, 30 Oct 2026] Companies House (read 30 October 2026): Active; filing overdue [Safety Round 1, 31 Oct 2026] Alex's Safety file (line 105) cross-listed from Labs under Alignment research: CoEm (cognitive emulation), bounded and interpretable reasoning designs (file cites conjecture.dev).",
   "uk_status": "uk",
   "company": {
    "ch_number": "13966466",
    "registered_office": "201 Borough High Street, London, SE1 1JA",
    "incorporated": "9 March 2022",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13966466",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13966466",
    "ch_note": null,
    "ch_name": "CONJECTURE LTD",
    "legal_name": "CONJECTURE LTD",
    "status_registry": "Active",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "SE1 1JA"
   },
   "place": {
    "text": "Borough High Street, London (SE1 1JA)",
    "postcode": "SE1 1JA",
    "lat": 51.501695,
    "lng": -0.092358,
    "region": "England: London",
    "admin_district": "Southwark",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Connor Leahy",
     "role": "Co-founder; director from 2022-03-09",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/13966466/officers"
    },
    {
     "name": "Gabriel Alfour",
     "role": "Co-founder",
     "from": null,
     "source": "https://www.conjecture.dev/about"
    },
    {
     "name": "Sid Black",
     "role": "Co-founder; director until 2023-12-20",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/13966466/officers"
    },
    {
     "name": "Connor Leahy",
     "role": "co-founder",
     "from": "2022-03",
     "source": "https://www.conjecture.dev/about",
     "round4": true
    },
    {
     "name": "Sid Black",
     "role": "co-founder",
     "from": "2022-03",
     "source": "https://www.conjecture.dev/about",
     "round4": true
    },
    {
     "name": "Gabriel Alfour",
     "role": "co-founder",
     "from": "2022-03",
     "source": "https://www.conjecture.dev/about",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI security and assurance",
    "AI development and training"
   ],
   "sectors": [
    "AI safety research",
    "language models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "AI safety research",
   "function": "London AI research company building large language models and a new AI design meant to keep advanced AI controllable and auditable.",
   "affiliation": "Labs",
   "sources": [
    "https://www.conjecture.dev/about",
    "https://find-and-update.company-information.service.gov.uk/company/13966466",
    "https://find-and-update.company-information.service.gov.uk/company/13966466/officers",
    "https://www.conjecture.dev/research/we-are-conjecture-a-new-alignment-research-startup",
    "https://www.conjecture.dev/research/conjecture-2-years"
   ],
   "source_quotes": [
    {
     "url": "https://www.conjecture.dev/about",
     "quotes": [
      "Building a new AI architecture to ensure the controllable, safe development of advanced AI technology.\" (London; founded March 2022 by Connor Leahy, Sid Black and Gabriel Alfour)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13966466",
     "quotes": [
      "CONJECTURE LTD\" \"201 Borough High Street, London, SE1 1JA\" \"Active\" \"9 March 2022"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13966466/officers",
     "quotes": [
      "Connor Leahy, Director, appointed 9 March 2022; Sidney Thomas Black resigned 20 December 2023"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.conjecture.dev/research/we-are-conjecture-a-new-alignment-research-startup",
     "quotes": [
      "We are located in London."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.conjecture.dev/research/conjecture-2-years",
     "quotes": [
      "growing from a chaotic group of 7 to a well oiled and professional company 20 strong today"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI security and assurance",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Borough High Street, London (SE1 1JA)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-038",
     "name": "Connor Leahy",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-038",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-038",
     "name": "Connor Leahy",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-038",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-039",
     "name": "Sid Black",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-039",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-039",
     "name": "Sid Black",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-039",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-040",
     "name": "Gabriel Alfour",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-040",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-040",
     "name": "Gabriel Alfour",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-040",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "EleutherAI"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-019",
   "name": "Unlikely AI",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-09-20",
   "status_detail": "Active at Companies House; its newsroom shows founder and chief executive William Tunstall-Pedoe on Sky News on 20 September 2026.",
   "one_line": "Builds its own AI for decisions in regulated fields such as financial services, accounting and insurance, where answers must be explainable and correct.",
   "description": "Unlikely Artificial Intelligence Limited was incorporated on 3 July 2018 and was founded by William Tunstall-Pedoe, who earlier managed projects for Amazon's Alexa. In September 2022 it raised a US$20m (£17.4m) seed round co-led by Amadeus Capital and Octopus Ventures (UKTN). Its website now describes \"The only AI designed for decisions too critical to get wrong\", aimed at financial services, accounting and insurance. UKTN called it London-based in 2022; its registered office is in Cambridge. [Round 4, 30 Oct 2026] SOFTWARE & TOOLS: Deep-tech start-up building core technology aimed at making AI systems trustworthy. [Labs Round 7, 30 Oct 2026] headcount: About 30 (company offsite, October 2026) [Labs Round 7, 30 Oct 2026] customers: Lloyds Banking Group (Innovation Sandbox test, 2 Jul 2025) and SBS Insurance (named Dec 2025) [Labs Round 7, 30 Oct 2026] rounds: US$25m raised in total (Dec 2025); site already holds the US$20m seed (DEAL-LAB-030) [Labs Round 7, 30 Oct 2026] approach: Neurosymbolic: neural networks plus logic and rules, for financial services, accounting and insurance [Labs Round 7, 30 Oct 2026] people: William Tunstall-Pedoe (founder, chief executive); Tom Mason (former CTO of Stability AI) announced as a senior hire (TechCrunch story reposted on company newsroom, page dated 1 Sep 2025) [Labs Round 8, 31 Oct 2026] status_now: Active as of Oct 2026 (newsroom posts to 29 Oct 2026); won two National AI Awards 2026 (22 Jul 2026) [Labs Round 8, 31 Oct 2026] awards: National AI Awards 2026: AI Innovation of the Year (UnlikelyAI); Alan Turing Innovator of the Year (William Tunstall-Pedoe) [Labs Round 8, 31 Oct 2026] customers_or_partners: Lloyds Banking Group; SBS Insurance (processes thousands of claims a month on the platform) [Labs Round 8, 31 Oct 2026] funding_total_as_published: $25m raised to date (as reported Dec 2025) [Labs Round 8, 31 Oct 2026] what_it_does: Neurosymbolic AI platform for banking, insurance and accounting (product BIZ-LAB-10012); also links a research site at lab.unlikely.ai (no description) [Labs Round 8, 31 Oct 2026] what_it_does: Sells the UnlikelyAI Platform, a neurosymbolic decision engine, with uses in financial-services guardrails, accounting disclosure checklists (FRS 102, Companies Act 2014 ingested) and insurance claims (40–50% of digital claims processed end to end, company figure) [Labs Round 8, 31 Oct 2026] Listed on Labs (AI reasoning): neurosymbolic system that joins neural models with symbolic logic for checkable reasoning",
   "uk_status": "uk",
   "company": {
    "ch_number": "11445207",
    "registered_office": "Victoria Hall, Victoria Street, Cambridge, United Kingdom, CB1 1JP",
    "incorporated": "3 July 2018",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "11445207",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11445207",
    "ch_note": null,
    "ch_name": "UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED",
    "legal_name": "UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "62012"
    ],
    "registered_office_postcode": "CB1 1JP"
   },
   "place": {
    "text": "London (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "William Tunstall-Pedoe",
     "role": "Founder and CEO",
     "from": null,
     "source": "https://unlikely.ai/"
    },
    {
     "name": "William Tunstall-Pedoe",
     "role": "founder and chief executive",
     "from": null,
     "source": "https://www.lloydsbankinggroup.com/media/press-releases/2025/lloyds-banking-group-2025/lloyds-banking-group-partners-with-unlikelyai-to-test-groundbrea.html",
     "round4": true
    },
    {
     "name": "Tom Mason",
     "role": "senior hire (former CTO, Stability AI)",
     "from": "2025 or earlier (newsroom page dated 1 Sep 2025)",
     "source": "https://unlikely.ai/newsroom/alexa-co-creator-gives-first-glimpse-of-unlikely-ai-s-tech-strategy-1",
     "round4": true
    },
    {
     "name": "Ranil Boteju",
     "role": "chief data and analytics officer, Lloyds Banking Group (partner)",
     "from": null,
     "source": "https://www.lloydsbankinggroup.com/media/press-releases/2025/lloyds-banking-group-2025/lloyds-banking-group-partners-with-unlikelyai-to-test-groundbrea.html",
     "round4": true
    },
    {
     "name": "William Tunstall-Pedoe",
     "role": "founder and CEO",
     "from": null,
     "source": "https://unlikely.ai/newsroom/ai-awards-2026",
     "round4": true
    },
    {
     "name": "Tom Mason",
     "role": "senior hire (former CTO, Stability AI; title not stated)",
     "from": "2025-09",
     "source": "https://www.unlikely.ai/newsroom/alexa-co-creator-gives-first-glimpse-of-unlikely-ai-s-tech-strategy-1",
     "round4": true
    },
    {
     "name": "Amelia Armour",
     "role": "board member (Partner, Amadeus Capital Partners)",
     "from": "2022-09",
     "source": "https://unlikely.ai/unlikely-ai-raises-20m-in-oversubscribed-seed-round",
     "round4": true
    },
    {
     "name": "William Tunstall-Pedoe",
     "role": "Founder and CEO; Alan Turing Innovator of the Year, National AI Awards 2026",
     "from": null,
     "source": "https://unlikely.ai/newsroom/ai-awards-2026",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 20000000,
     "currency": "USD",
     "date": "2022-09-15",
     "detail": "seed co-led by Amadeus Capital and Octopus Ventures (date of UKTN report; announcement date not confirmed this session)",
     "raw": "funding_round: 20000000 USD 2022-09-15 — seed co-led by Amadeus Capital and Octopus Ventures (date of UKTN report; announcement date not confirmed this session)",
     "amount_gbp": 17406440,
     "fx_rate": 1.149,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.149 per £ on 2022-09-15",
     "fx_date": "2022-09-15",
     "fx_note": "",
     "txt": "US$20m",
     "gbp_txt": "£17.4m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "decision AI",
    "financial services",
    "insurance"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-unlikely-ai",
   "type": "Companies",
   "category": "decision AI",
   "function": "Builds its own AI for decisions in regulated fields such as financial services, accounting and insurance, where answers must be explainable and correct.",
   "affiliation": "Labs",
   "sources": [
    "https://unlikely.ai/",
    "https://www.uktech.news/ai/unlikely-ai-funding-20220915",
    "https://find-and-update.company-information.service.gov.uk/company/11445207",
    "https://find-and-update.company-information.service.gov.uk/company/11445207",
    "https://technation.io/future-fifty-2025-cohort-2/",
    "https://unlikely.ai/newsroom/unlikelyai-offsite-2026-bigger-better-stronger",
    "https://theinnovator.news/startup-of-the-week-unlikelyai/",
    "https://www.lloydsbankinggroup.com/media/press-releases/2025/lloyds-banking-group-2025/lloyds-banking-group-partners-with-unlikelyai-to-test-groundbrea.html",
    "https://unlikely.ai/newsroom/alexa-co-creator-gives-first-glimpse-of-unlikely-ai-s-tech-strategy-1",
    "https://unlikely.ai/unlikely-ai-raises-20m-in-oversubscribed-seed-round",
    "https://unlikely.ai/newsroom/ai-awards-2026",
    "https://www.unlikely.ai/newsroom/alexa-co-creator-gives-first-glimpse-of-unlikely-ai-s-tech-strategy-1",
    "https://unlikely.ai/newsroom",
    "https://www.unlikely.ai/"
   ],
   "source_quotes": [
    {
     "url": "https://unlikely.ai/",
     "quotes": [
      "The only AI designed for decisions too critical to get wrong.\" (founder and CEO William Tunstall-Pedoe; newsroom item dated Sep 20, 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/unlikely-ai-funding-20220915",
     "quotes": [
      "London-based artificial intelligence startup Unlikely AI\" \"$20m (£17.4m)\" \"Octopus Ventures also co-led the investment"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11445207",
     "quotes": [
      "UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED\" \"Victoria Hall, Victoria Street, Cambridge, United Kingdom, CB1 1JP\" \"Active\" \"3 July 2018"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11445207",
     "quotes": [
      "UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED\" \"Victoria Hall, Victoria Street, Cambridge, United Kingdom, CB1 1JP\" \"Active\" \"Private limited Company\" \"3 July 2018\" \"62012 - Business and domestic software development"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://technation.io/future-fifty-2025-cohort-2/",
     "quotes": [
      "A deep tech startup building fundamental technology that addresses issues of trust in AI."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://unlikely.ai/newsroom/unlikelyai-offsite-2026-bigger-better-stronger",
     "quotes": [
      "Around 30 people from commercial, product, engineering and research gathered in one place"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://theinnovator.news/startup-of-the-week-unlikelyai/",
     "quotes": [
      "Customers include Lloyds Banking Group and SBS Insurance.\" ; Lloyds press release (DEAL-LAB-3013)"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.lloydsbankinggroup.com/media/press-releases/2025/lloyds-banking-group-2025/lloyds-banking-group-partners-with-unlikelyai-to-test-groundbrea.html",
     "quotes": [
      "UnlikelyAI uses an innovative approach, setting logic & rules to ensure outputs are accurate."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://unlikely.ai/newsroom/alexa-co-creator-gives-first-glimpse-of-unlikely-ai-s-tech-strategy-1",
     "quotes": [
      "In an additional development, it's announcing two senior hires — including the former CTO of Stability AI, Tom Mason."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://unlikely.ai/unlikely-ai-raises-20m-in-oversubscribed-seed-round",
     "quotes": [
      "Amadeus Capital Partners and Octopus Ventures co-led the over-subscribed round"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://unlikely.ai/newsroom/ai-awards-2026",
     "quotes": [
      "our founder and CEO, William Tunstall-Pedoe FREng, was named Alan Turing Innovator of the Year."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.unlikely.ai/newsroom/alexa-co-creator-gives-first-glimpse-of-unlikely-ai-s-tech-strategy-1",
     "quotes": [
      "the former CTO of Stability AI, Tom Mason"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://unlikely.ai/newsroom",
     "quotes": [
      "This summer the UnlikelyAI team welcomed 4 interns"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.unlikely.ai/",
     "quotes": [
      "Neural where it must be. Symbolic where it matters most."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "decision AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-201",
     "name": "Octopus Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-201",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-204",
     "name": "Cambridge Innovation Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-204",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-041",
     "name": "William Tunstall-Pedoe",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-041",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-041",
     "name": "William Tunstall-Pedoe",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-041",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-201",
     "name": "Octopus Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-201",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-204",
     "name": "Cambridge Innovation Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-204",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Amadeus Capital Partners"
    },
    {
     "kind": "funded_by",
     "name": "Metaplanet"
    },
    {
     "kind": "member_of",
     "name": "Tech Nation Future Fifty 2025"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-10012"
   ]
  },
  {
   "id": "BIZ-LAB-020",
   "name": "Haiper",
   "bucket": "co",
   "status": "dormant",
   "status_date": "2026-04-21",
   "status_detail": "Companies House shows Haiper Limited as \"Active — Active proposal to strike off\" (checked 29 October 2026); no news after November 2024 was found.",
   "one_line": "London company that built a generative AI model making short video clips from text prompts.",
   "description": "Haiper was founded in 2021 by two former Google DeepMind researchers and built a generative video model. In March 2024 UKTN reported a US$13.8m (£10.9m) raise. UKTN last reported on it in November 2024. Companies House now shows a pending proposal to strike the company off the register, which, if completed, would dissolve it. Its last accounts were made up to 20 September 2025. Directors listed as active are Yishu Miao and Ziyu Wang. \"dormant\" here is a description of activity, not the Companies House dormant-accounts category. [Round 4, 30 Oct 2026] origin / funding: founded 2021 by two former Google DeepMind researchers; came out of stealth Mar 2024 with $13.8m [Labs Round 7, 30 Oct 2026] models_released: Haiper 1.5 video model, 8-second clips from text, image and video prompts, 16 Jul 2024; first model March 2024 (2–4 second clips) [Labs Round 7, 30 Oct 2026] users_or_customers: Over 1.5 million users (July 2024, company claim) [Labs Round 7, 30 Oct 2026] founders: Yishu Miao (chief executive) and Ziyu Wang (chief technology officer), former Google DeepMind researchers [Labs Round 7, 30 Oct 2026] round_detail (existing DEAL-LAB-031 / DEAL-LAB-2030, $13.8M, Mar 2024): Lead investor Octopus Ventures; total funding $19.2M [Labs Round 7, 30 Oct 2026] Companies House: proposal to strike off (read 30 October 2026); no news since July 2024 [Labs Round 8, 31 Oct 2026] founders: Dr Yishu Miao — CEO (former DeepMind researcher, Oxford ML PhD, led TikTok's London ML team); Dr Ziyu Wang — CTO (former DeepMind researcher, Oxford ML PhD, worked on AlphaStar and AlphaGo, staff research scientist at Google Brain) [Labs Round 8, 31 Oct 2026] funding_total_as_published: $19.2m (£15.1m) after the March 2024 seed round led by Octopus Ventures [Labs Round 8, 31 Oct 2026] research_focus: Training its own \"perceptual foundation model\" for video generation, with academic lab partnerships at several universities (Mar 2024) [Labs Round 8, 31 Oct 2026] models_released: Haiper Video 1.5, Haiper Video 2.x, Haiper Image 1.5, Haiper Image 2.x listed in API pricing (no dates); developer docs announce \"Haiper 2.0 is here\"; Haiper 1.0 not found on pages opened",
   "uk_status": "uk",
   "company": {
    "ch_number": "13515940",
    "registered_office": "First Floor, Northdown House, 11-21 Northdown Street, London, England, N1 9BN",
    "incorporated": "16 July 2021",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13515940",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13515940",
    "ch_note": null,
    "ch_name": "HAIPER LIMITED",
    "legal_name": "HAIPER LIMITED",
    "status_registry": "Active — proposal to strike off",
    "sic_codes": [
     "72190"
    ],
    "registered_office_postcode": "N1 9BN"
   },
   "place": {
    "text": "Northdown Street, London (N1 9BN)",
    "postcode": "N1 9BN",
    "lat": 51.531478,
    "lng": -0.119589,
    "region": "England: London",
    "admin_district": "Islington",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Yishu Miao",
     "role": "Director",
     "from": "2022-04-11",
     "source": "https://find-and-update.company-information.service.gov.uk/company/13515940/officers"
    },
    {
     "name": "Ziyu Wang",
     "role": "Director",
     "from": "2022-04-11",
     "source": "https://find-and-update.company-information.service.gov.uk/company/13515940/officers"
    },
    {
     "name": "Yishu Miao",
     "role": "Co-founder and chief executive",
     "from": "2021",
     "source": "https://siliconcanals.com/london-based-haiper-bags-12-6m/",
     "round4": true
    },
    {
     "name": "Ziyu Wang",
     "role": "Co-founder and chief technology officer",
     "from": "2021",
     "source": "https://siliconcanals.com/london-based-haiper-bags-12-6m/",
     "round4": true
    },
    {
     "name": "Yishu Miao",
     "role": "co-founder and CEO",
     "from": "2021",
     "source": "https://www.businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
     "round4": true
    },
    {
     "name": "Ziyu Wang",
     "role": "co-founder and CTO",
     "from": "2021",
     "source": "https://www.businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
     "round4": true
    },
    {
     "name": "Yishu Miao",
     "role": "Co-founder and Chief Executive",
     "from": null,
     "source": "https://businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
     "round4": true
    },
    {
     "name": "Ziyu Wang",
     "role": "Co-founder and Chief Technology Officer",
     "from": null,
     "source": "https://businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 13800000,
     "currency": "USD",
     "date": "2024-03-06",
     "detail": "investors not named in the report",
     "raw": "funding_round: 13800000 USD 2024-03-06 — investors not named in the report",
     "amount_gbp": 10829475,
     "fx_rate": 1.2743,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2743 per £ on 2024-03-06",
     "fx_date": "2024-03-06",
     "fx_note": "",
     "txt": "US$13.8m",
     "gbp_txt": "£10.8m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Perceptual systems",
    "AI development and training"
   ],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Companies House check, 29 Oct 2026",
     "field": "status_detail",
     "text": "status_detail → \"The directors applied to strike the company off on 16 March 2026 (First Gazette notice 24 March 2026); the strike-off was suspended on 21 April 2026, and a confirmation statement followed on 22 May 2026. The company remains on the register.\" status_date → 2026-04-21. Status: keep dormant only if another source supports it; Companies House shows \"Active\"."
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "generative video",
   "function": "London company that built a generative AI model making short video clips from text prompts.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/ai/haiper-ai-video-generation-20240306",
    "https://find-and-update.company-information.service.gov.uk/company/13515940",
    "https://www.uktech.news/tag/haiper",
    "https://find-and-update.company-information.service.gov.uk/company/13515940/filing-history",
    "https://venturebeat.com/ai/exclusive-meet-haiper-1-5-the-new-ai-video-generation-model-challenging-sora-runway",
    "https://siliconcanals.com/london-based-haiper-bags-12-6m/",
    "https://www.businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
    "https://businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
    "https://docs.haiper.ai/api-reference/api-pricing"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/haiper-ai-video-generation-20240306",
     "quotes": [
      "Haiper, a London-based video generation AI startup\" \"Founded in 2021 by two former researchers at Google DeepMind\" \"$13.8m (£10.9m) in funding"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13515940",
     "quotes": [
      "HAIPER LIMITED\" \"Active — Active proposal to strike off\" \"16 July 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/tag/haiper",
     "quotes": [
      "latest tagged article \"Exclusive: London gen AI startup Haiper.ai allows 'potentially harmful' content creation\" (8 November 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13515940/filing-history",
     "quotes": [
      "Application to strike the company off the register\" (16 Mar 2026)",
      "First Gazette notice for voluntary strike-off\" (24 Mar 2026)",
      "Voluntary strike-off action has been suspended\" (21 Apr 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://venturebeat.com/ai/exclusive-meet-haiper-1-5-the-new-ai-video-generation-model-challenging-sora-runway",
     "quotes": [
      "Haiper 1.5 is an incremental update and allows users to generate 8-second-long clips from text, image and video prompts."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://siliconcanals.com/london-based-haiper-bags-12-6m/",
     "quotes": [
      "Founded by Dr. Yishu Miao (CEO) and Dr. Ziyu Wang (CTO).\"; https://venturebeat.com/ai/exclusive-meet-haiper-1-5-the-new-ai-video-generation-model-challenging-sora-runway (trade) — \"founded by former Google Deepmind researchers Yishu Miao and Ziyu Wang"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
     "quotes": [
      "(trade) — \"An all-in-one visual foundation model for publishers, studios and individuals."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://businesscloud.co.uk/news/video-generative-ai-platform-raises-10-8m/",
     "quotes": [
      "Haiper, a London-based generative AI video platform, has raised £10.8m ($13.8m) seed round led by Octopus Ventures."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://docs.haiper.ai/api-reference/api-pricing",
     "quotes": [
      "Haiper Video 2.x"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Perceptual systems",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Northdown Street, London (N1 9BN)",
   "status_group": "dormant",
   "ext_links": [
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-042",
     "name": "Yishu Miao",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-042",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-042",
     "name": "Yishu Miao",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-042",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-043",
     "name": "Ziyu Wang",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-043",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-043",
     "name": "Ziyu Wang",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-043",
     "page_label": "Talent"
    }
   ],
   "label_links": [],
   "degree": 4,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-14054",
    "BIZ-LAB-14055",
    "BIZ-LAB-14056"
   ]
  },
  {
   "id": "BIZ-LAB-021",
   "name": "Convergence",
   "bucket": "co",
   "status": "acquired",
   "status_date": "2025-06-11",
   "status_detail": "Salesforce signed an agreement to buy Convergence on 15 May 2025 and completed it on 11 June 2025; terms were not disclosed, and Convergence was to form the core of a Salesforce AI lab in London.",
   "one_line": "London start-up that built Proxy, a personal AI agent that learns and carries out multi-step tasks on the web; now part of Salesforce.",
   "description": "Convergence was founded in April 2024 by Marvin Purtorab (chief executive) and Andy Toulis (chief technology officer), who had worked at Shopify and Cohere. It built Proxy, a general personal AI agent powered by what it called \"large meta-learning models\". It raised a US$12m pre-seed round led by Balderton Capital in September 2024. Salesforce agreed to acquire it on 15 May 2025 and completed the deal on 11 June 2025, saying Convergence would form \"the nucleus\" of an AI research centre in London. Its UK company was not found at Companies House.",
   "uk_status": "uk",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": "Salesforce",
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "London (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Marvin Purtorab",
     "role": "Co-founder and CEO",
     "from": "2024",
     "source": "https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-convergence-ai/"
    },
    {
     "name": "Andy Toulis",
     "role": "Co-founder and CTO",
     "from": "2024",
     "source": "https://tech.eu/2024/09/27/convergence-secures-12m-pre-seed-for-personalised-ai-agent/"
    },
    {
     "name": "Marvin Purtorab",
     "role": "CEO and Co-founder",
     "from": "2024",
     "source": "https://salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-convergence-ai/",
     "round4": true
    },
    {
     "name": "Andy Toulis",
     "role": "co-founder",
     "from": "2024",
     "source": "https://tech.eu/2025/05/15/salesforce-acquires-uk-ai-startup-convergence-one-year-after-launch/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 12000000,
     "currency": "USD",
     "date": "2024-09-27",
     "detail": "pre-seed led by Balderton Capital",
     "raw": "funding_round: 12000000 USD 2024-09-27 — pre-seed led by Balderton Capital",
     "amount_gbp": 8949881,
     "fx_rate": 1.3408,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3408 per £ on 2024-09-27",
     "fx_date": "2024-09-27",
     "fx_note": "",
     "txt": "US$12m",
     "gbp_txt": "£8.9m"
    }
   ],
   "site": null,
   "product": {
    "maker": "Convergence",
    "launched": null,
    "what_it_does": "Proxy, a personal AI agent that learns tasks and workflows"
   },
   "dsit_domains": [
    "Autonomous and agent systems"
   ],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "general AI agents",
   "function": "London start-up that built Proxy, a personal AI agent that learns and carries out multi-step tasks on the web; now part of Salesforce.",
   "affiliation": "Labs",
   "sources": [
    "https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-convergence-ai/",
    "https://tech.eu/2025/05/15/salesforce-acquires-uk-ai-startup-convergence-one-year-after-launch/",
    "https://tech.eu/2024/09/27/convergence-secures-12m-pre-seed-for-personalised-ai-agent/",
    "https://salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-convergence-ai/"
   ],
   "source_quotes": [
    {
     "url": "https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-convergence-ai/",
     "quotes": [
      "an AI agent company recognized for developing advanced systems that perform complex, human-like tasks\" \"will form the nucleus of a world-class AI lab\" (announced May 15, 2025; editor's note gives completion June 11, 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/05/15/salesforce-acquires-uk-ai-startup-convergence-one-year-after-launch/",
     "quotes": [
      "London-based AI agent startup Convergence\" \"Convergence was founded by Marvin Purtorab and Andy Toulis\" \"Financial details of the deal are not known."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2024/09/27/convergence-secures-12m-pre-seed-for-personalised-ai-agent/",
     "quotes": [
      "$12 million in Pre-Seed funding\" \"Balderton Capital led the funding."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-convergence-ai/",
     "quotes": [
      "Salesforce completed its acquisition of Convergence on June 11, 2025."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (null)",
   "status_group": "acquired",
   "ext_links": [
    {
     "kind": "acquired_by",
     "id": "BIZ-BIG-026",
     "name": "Salesforce (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-026",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-010",
     "name": "Balderton Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-010",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-044",
     "name": "Marvin Purtorab",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-044",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-044",
     "name": "Marvin Purtorab",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-044",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-045",
     "name": "Andy Toulis",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-045",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-045",
     "name": "Andy Toulis",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-045",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Salesforce Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Shopify Ventures"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-022",
   "name": "BeyondMath",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised a US$10m (£7.4m) seed extension led by Cambridge Innovation Capital, reported 25 February 2026, bringing its seed round to £13.8m. Companies House shows BEYONDMATH LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "London company building a generative physics model that produces engineering simulations quickly for engineering teams.",
   "description": "BeyondMath Limited was incorporated in London on 16 May 2022. UKTN describes it as a London-based deep tech firm, started by former Google staff, that builds a \"generative physics model\" for engineering simulation. Alan Patterson is chief executive; Darren Garvey is a director. In February 2026 it raised a US$10m (£7.4m) seed extension led by Cambridge Innovation Capital, with UP.Partners, Insight Partners and InMotion Ventures, bringing the completed seed round to £13.8m. Edward Inns joined the board on 25 February 2026. [Labs Round 7, 30 Oct 2026] rounds: 2026-02-25 $10m seed extension led by Cambridge Innovation Capital, taking total seed to $18.5m; existing UP.Partners, Insight Partners, InMotion Ventures (JLR) joined; first seed $8.5m 2024-08-20 led by UP.Partners [Labs Round 7, 30 Oct 2026] models_released: generative physics model trained on first-principles physics; company calls it the world's largest foundational physics model (no name or size given) [Labs Round 7, 30 Oct 2026] founders_and_partners: Founded 2022 by Alan Patterson (chief executive) and Darren Garvey; partners NVIDIA and AWS; unnamed automotive, aerospace and electronics customers; plans to double headcount in 2026 [Labs Round 7, 30 Oct 2026] compute: NVIDIA DGX H200 cited by chief executive (2024-08-20) [Labs Round 8, 31 Oct 2026] founders: Alan Patterson — CEO and co-founder; Darren Garvey — co-founder; both previously at Google and eBay [Labs Round 8, 31 Oct 2026] compute: Uses NVIDIA DGX H200 systems to train its physics solver (2024-08-20) [Labs Round 8, 31 Oct 2026] funding_total_as_published: Completed seed round £13.8m after a $10m (£7.4m) extension (2026-02-25) [Labs Round 8, 31 Oct 2026] offices: Cambridge, UK (UKTN, 2024-08-20); London-based (UKTN, 2026-02-25) [Labs Round 8, 31 Oct 2026] UKTN placed BeyondMath in Cambridge (August 2024) and in London (February 2026). [Investors VC Round 1, 31 Oct 2026] The file says BeyondMath holds a US$19m three-year aerospace contract with Honeywell and works with Formula 1 aerodynamics teams. (Alex's VC file, record 06; no source link given; not re-researched.)",
   "uk_status": "uk",
   "company": {
    "ch_number": "14110252",
    "registered_office": "71-75 Shelton Street, Covent Garden, London, United Kingdom, WC2H 9JQ",
    "incorporated": "16 May 2022",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "14110252",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/14110252",
    "ch_note": null,
    "ch_name": "BEYONDMATH LIMITED",
    "legal_name": "BEYONDMATH LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "62012"
    ],
    "registered_office_postcode": "WC2H 9JQ"
   },
   "place": {
    "text": "London (null)",
    "postcode": "WC2H 9JQ",
    "lat": 51.514897,
    "lng": -0.123615,
    "region": "England: London",
    "admin_district": "Camden",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Alan Patterson",
     "role": "Chief executive; director from 2022-05-16",
     "from": null,
     "source": "https://www.uktech.news/ai/beyondmath-raises-seed-extension-20260225"
    },
    {
     "name": "Darren Garvey",
     "role": "Director",
     "from": "2022-05-16",
     "source": "https://find-and-update.company-information.service.gov.uk/company/14110252/officers"
    },
    {
     "name": "Darren Garvey",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2026/02/25/beyondmath-secures-185m-to-expand-the-worlds-largest-foundational-physics-ai-model/",
     "round4": true
    },
    {
     "name": "Alan Patterson",
     "role": "co-founder and CEO",
     "from": "2022",
     "source": "https://www.cic.vc/beyondmath-completes-18-5-million-seed-round-to-scale-worlds-largest-foundational-physics-ai-model/",
     "round4": true
    },
    {
     "name": "Darren Garvey",
     "role": "co-founder",
     "from": "2022",
     "source": "https://www.cic.vc/beyondmath-completes-18-5-million-seed-round-to-scale-worlds-largest-foundational-physics-ai-model/",
     "round4": true
    },
    {
     "name": "Alan Patterson",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/beyondmath-funding-20240820",
     "round4": true
    },
    {
     "name": "Darren Garvey",
     "role": "Co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/beyondmath-funding-20240820",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 10000000,
     "currency": "USD",
     "date": "2026-02-25",
     "detail": "seed extension led by Cambridge Innovation Capital",
     "raw": "funding_round: 10000000 USD 2026-02-25 — seed extension led by Cambridge Innovation Capital",
     "amount_gbp": 7388799,
     "fx_rate": 1.3534,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3534 per £ on 2026-02-25",
     "fx_date": "2026-02-25",
     "fx_note": "",
     "txt": "US$10m",
     "gbp_txt": "£7.4m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation"
   ],
   "sectors": [
    "engineering simulation",
    "physics models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "engineering simulation",
   "function": "London company building a generative physics model that produces engineering simulations quickly for engineering teams.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/ai/beyondmath-raises-seed-extension-20260225",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=beyond+math",
    "https://find-and-update.company-information.service.gov.uk/company/14110252/officers",
    "https://find-and-update.company-information.service.gov.uk/company/14110252",
    "https://tech.eu/2026/02/25/beyondmath-secures-185m-to-expand-the-worlds-largest-foundational-physics-ai-model/",
    "https://tech.eu/2024/08/20/beyondmath-secures-8-5m-for-multiphysics-simulation-platform/",
    "https://www.cic.vc/beyondmath-completes-18-5-million-seed-round-to-scale-worlds-largest-foundational-physics-ai-model/",
    "https://www.uktech.news/ai/beyondmath-funding-20240820"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/beyondmath-raises-seed-extension-20260225",
     "quotes": [
      "London-based deep tech firm\" \"generative physics model\" $10m (£7.4m) seed extension led by Cambridge Innovation Capital"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=beyond+math",
     "quotes": [
      "BEYONDMATH LIMITED\" \"14110252\" \"Incorporated on 16 May 2022\" \"71-75 Shelton Street, Covent Garden, London, United Kingdom, WC2H 9JQ"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14110252/officers",
     "quotes": [
      "Alan Patterson, Director, 16 May 2022; Darren Garvey, Director, 16 May 2022; Edward Inns, Director, 25 February 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14110252",
     "quotes": [
      "BEYONDMATH LIMITED",
      "Active",
      "16 May 2022",
      "62012 - Business and domestic software development"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/02/25/beyondmath-secures-185m-to-expand-the-worlds-largest-foundational-physics-ai-model/",
     "quotes": [
      "This could be the ChatGPT moment for physics."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2024/08/20/beyondmath-secures-8-5m-for-multiphysics-simulation-platform/",
     "quotes": [
      "The NVIDIA DGX H200 is a game-changer for AI-driven simulation."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.cic.vc/beyondmath-completes-18-5-million-seed-round-to-scale-worlds-largest-foundational-physics-ai-model/",
     "quotes": [
      "This closes the Seed Round at $18.5 million."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/beyondmath-funding-20240820",
     "quotes": [
      "previously worked together at Google and eBay"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-204",
     "name": "Cambridge Innovation Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-204",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-046",
     "name": "Alan Patterson",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-046",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-204",
     "name": "Cambridge Innovation Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-204",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "UP.Partners"
    },
    {
     "kind": "funded_by",
     "name": "Insight Partners"
    },
    {
     "kind": "funded_by",
     "name": "InMotion Ventures"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-023",
   "name": "Mantic",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Came out of stealth on 27 August 2025 with US$4m pre-seed funding led by Episode 1; no later news was opened. Companies House shows MANTIC TECHNOLOGIES LTD as Active (checked 31 Oct 2026).",
   "one_line": "London start-up building an AI system that forecasts world events.",
   "description": "Mantic was founded by Toby Shevlane, a former Google DeepMind researcher, and Ben Day, who has a doctorate in machine learning from the University of Cambridge. tech.eu describes it as a London-based start-up and quotes the company as \"building a cutting-edge AI system that can predict the complex world of human affairs\". It raised US$4m pre-seed led by Episode 1, with DRW and angel investors. Whether it trains its own models is not stated; it is listed here as a frontier-research start-up for Alex to confirm. Its website and Companies House entry could not be opened. [Round 4, 30 Oct 2026] funding / founders / place: $4m (£2.97m) pre-seed, Aug 2025, led by Episode 1 Ventures with DRW; founders Ben Day and Toby Shevlane (ex-Google DeepMind); Camden, London [Round 6, 30 Oct 2026] key_facts: Camden, London; AI for \"judgemental forecasting\" of world events such as supply-chain disruption and geopolitical shocks, for businesses and governments (2025-08) [Round 6, 30 Oct 2026] founders: Ben Day (PhD in machine learning, Cambridge) and Toby Shevlane (formerly Google DeepMind) — founders [Round 6, 30 Oct 2026] investors: Pre-seed $4m (£2.97m): Episode 1 Ventures (lead), DRW and angels (2025-08-27; matches DEAL-LAB-035, which lacks investor names) [Labs Round 7, 30 Oct 2026] founded: 2024, by Toby Shevlane (chief executive; ex-Google DeepMind research scientist) and Ben Day [Labs Round 7, 30 Oct 2026] rounds: Seed US$25m led by Radical Ventures, 18 Sep 2026 — DEAL-LAB-3003 [Labs Round 7, 30 Oct 2026] key_facts: Summer 2026 Metaculus Cup: beat every human contestant and all but one bot (\"laertes\") [Labs Round 8, 31 Oct 2026] research_focus: \"Judgemental forecasting\": an AI system to predict events from supply-chain disruptions to geopolitical shocks for businesses and governments [Labs Round 8, 31 Oct 2026] offices: Camden, London [Labs Round 8, 31 Oct 2026] founders: Toby Shevlane and Ben Day; founded in London in 2024 [Labs Round 8, 31 Oct 2026] funding_total_as_published: $29m to date from Radical Ventures, Balderton, Thinking Machines, DRW, FT Ventures, M12 and Episode 1 (company page, read 31 Oct 2026)",
   "uk_status": "uk",
   "company": {
    "ch_number": "15832845",
    "registered_office": "Unit 326 Canalot Studios 222 Kensal Road, London, England, W10 5BN",
    "incorporated": "11 July 2024",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15832845",
    "from_round2": true,
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15832845",
    "ch_note": null,
    "ch_name": "MANTIC TECHNOLOGIES LTD",
    "legal_name": "MANTIC TECHNOLOGIES LTD",
    "status_registry": "Active",
    "sic_codes": [
     "62020",
     "72190"
    ],
    "registered_office_postcode": "W10 5BN"
   },
   "place": {
    "text": "Kensal Road, London (W10 5BN)",
    "postcode": "W10 5BN",
    "lat": 51.526021,
    "lng": -0.208142,
    "region": "England: London",
    "admin_district": "Kensington and Chelsea",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Toby Shevlane",
     "role": "Co-founder",
     "from": null,
     "source": "https://tech.eu/2025/08/27/mantic-which-claims-to-forecast-world-events-emerges-from-stealth/"
    },
    {
     "name": "Ben Day",
     "role": "Co-founder",
     "from": null,
     "source": "https://tech.eu/2025/08/27/mantic-which-claims-to-forecast-world-events-emerges-from-stealth/"
    },
    {
     "name": "Toby Shevlane",
     "role": "director from 2024-07-11",
     "from": "2024-07-11",
     "source": "https://find-and-update.company-information.service.gov.uk/company/15832845/officers",
     "amendment": true
    },
    {
     "name": "Benjamin Day",
     "role": "director from 2024-10-04",
     "from": "2024-10-04",
     "source": "https://find-and-update.company-information.service.gov.uk/company/15832845/officers",
     "amendment": true
    },
    {
     "name": "Adam Shuaib",
     "role": "director from 2025-03-19",
     "from": "2025-03-19",
     "source": "https://find-and-update.company-information.service.gov.uk/company/15832845/officers",
     "amendment": true
    },
    {
     "name": "Aaron Moses Rosenberg",
     "role": "director from 2026-06-22",
     "from": "2026-06-22",
     "source": "https://find-and-update.company-information.service.gov.uk/company/15832845/officers",
     "amendment": true
    },
    {
     "name": "Ben Day",
     "role": "co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-startup-that-predicts-world-events-emerges-from-stealth-with-3m-20250827",
     "round4": true
    },
    {
     "name": "Toby Shevlane",
     "role": "co-founder (ex-Google DeepMind)",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-startup-that-predicts-world-events-emerges-from-stealth-with-3m-20250827",
     "round4": true
    },
    {
     "name": "Ben Day",
     "role": "founder",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-startup-that-predicts-world-events-emerges-from-stealth-with-3m-20250827",
     "round4": true
    },
    {
     "name": "Toby Shevlane",
     "role": "founder",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-startup-that-predicts-world-events-emerges-from-stealth-with-3m-20250827",
     "round4": true
    },
    {
     "name": "Toby Shevlane",
     "role": "chief executive, co-founder",
     "from": "2024",
     "source": "https://www.globalbankingandfinance.com/ai-startup-mantic-raises-25-million-superhuman-forecasting/",
     "round4": true
    },
    {
     "name": "Ben Day",
     "role": "co-founder",
     "from": "2024",
     "source": "https://www.globalbankingandfinance.com/ai-startup-mantic-raises-25-million-superhuman-forecasting/",
     "round4": true
    },
    {
     "name": "Toby Shevlane",
     "role": "co-founder and CEO",
     "from": "2024",
     "source": "https://www.thestar.com.my/tech/tech-news/2026/09/18/ai-startup-mantic-raises-25-million-for-superhuman-forecasting",
     "round4": true
    },
    {
     "name": "Ben Day",
     "role": "co-founder",
     "from": "2024",
     "source": "https://www.thestar.com.my/tech/tech-news/2026/09/18/ai-startup-mantic-raises-25-million-for-superhuman-forecasting",
     "round4": true
    },
    {
     "name": "Toby Shevlane",
     "role": "Co-founder",
     "from": "2024",
     "source": "https://mantic.com/",
     "round4": true
    },
    {
     "name": "Ben Day",
     "role": "Co-founder",
     "from": "2024",
     "source": "https://mantic.com/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 4000000,
     "currency": "USD",
     "date": "2025-08-27",
     "detail": "pre-seed led by Episode 1",
     "raw": "funding_round: 4000000 USD 2025-08-27 — pre-seed led by Episode 1",
     "amount_gbp": 2971768,
     "fx_rate": 1.346,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.346 per £ on 2025-08-27",
     "fx_date": "2025-08-27",
     "fx_note": "",
     "txt": "US$4m",
     "gbp_txt": "£3m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation"
   ],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "company",
     "text": "ch_number 15832845 \\| registered_office Unit 326 Canalot Studios 222 Kensal Road, London, England, W10 5BN \\| incorporated 2024-07-11 \\| legal_form ltd (MANTIC TECHNOLOGIES LTD; match by directors Toby Shevlane and Benjamin Day)"
    },
    {
     "from": "Part 2.4",
     "field": "people",
     "text": "Toby Shevlane — director from 2024-07-11 ; Benjamin Day — director from 2024-10-04 ; Adam Shuaib — director from 2025-03-19 ; Aaron Moses Rosenberg — director from 2026-06-22"
    },
    {
     "from": "Part 2.4",
     "field": "place",
     "text": "Kensal Road, London (W10 5BN; null, null) — region: England: London"
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "forecasting",
   "function": "London start-up building an AI system that forecasts world events.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2025/08/27/mantic-which-claims-to-forecast-world-events-emerges-from-stealth/",
    "https://find-and-update.company-information.service.gov.uk/company/15832845",
    "https://find-and-update.company-information.service.gov.uk/company/15832845/officers",
    "https://www.uktech.news/ai/ai-startup-that-predicts-world-events-emerges-from-stealth-with-3m-20250827",
    "https://www.globalbankingandfinance.com/ai-startup-mantic-raises-25-million-superhuman-forecasting/",
    "https://valueaddvc.com/pulse/mantic-25m-seed-ai-forecasting-metaculus-2026",
    "https://whbl.com/?p=1008351",
    "https://www.thestar.com.my/tech/tech-news/2026/09/18/ai-startup-mantic-raises-25-million-for-superhuman-forecasting",
    "https://mantic.com/",
    "https://www.mantic.com/news"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2025/08/27/mantic-which-claims-to-forecast-world-events-emerges-from-stealth/",
     "quotes": [
      "A London-based startup.\" \"Mantic are building a cutting-edge AI system that can predict the complex world of human affairs.\" \"$4m pre-seed funding"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15832845",
     "quotes": [
      "MANTIC TECHNOLOGIES LTD\" \"Unit 326 Canalot Studios 222 Kensal Road, London, England, W10 5BN\" \"Active\" \"11 July 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15832845/officers",
     "quotes": [
      "SHEVLANE, Toby James, Dr\" Director \"11 July 2024\"; \"DAY, Benjamin James, Dr\" Director \"4 October 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/ai-startup-that-predicts-world-events-emerges-from-stealth-with-3m-20250827",
     "quotes": [
      "The goal is to provide businesses and governments with forecasts of disruptions or significant landscape shifts."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.globalbankingandfinance.com/ai-startup-mantic-raises-25-million-superhuman-forecasting/",
     "quotes": [
      "(Reuters republished) — \"said Shevlane, who co-founded Mantic with Ben Day in 2024."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://valueaddvc.com/pulse/mantic-25m-seed-ai-forecasting-metaculus-2026",
     "quotes": [
      "London-based Mantic raised a $25 million seed led by Radical Ventures"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://whbl.com/?p=1008351",
     "quotes": [
      "(trade; Reuters copy) — \"Radical Ventures has led Mantic's funding round at an undisclosed valuation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thestar.com.my/tech/tech-news/2026/09/18/ai-startup-mantic-raises-25-million-for-superhuman-forecasting",
     "quotes": [
      "(trade; Reuters copy) — \"every human contestant"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://mantic.com/",
     "quotes": [
      "Started by Toby Shevlane and Ben Day."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.mantic.com/news",
     "quotes": [
      "To date, we've raised $29m from Radical Ventures, Balderton, Thinking Machines, DRW, FT Ventures, M12 and Episode 1."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Kensal Road, London (W10 5BN)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-012",
     "name": "Episode 1 Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-012",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-047",
     "name": "Toby Shevlane",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-047",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-047",
     "name": "Toby Shevlane",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-047",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-048",
     "name": "Ben Day",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-048",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-048",
     "name": "Ben Day",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-048",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Episode 1"
    },
    {
     "kind": "funded_by",
     "name": "DRW"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-14083"
   ]
  },
  {
   "id": "BIZ-SAFE-001",
   "name": "Apollo Research",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-09-30",
   "status_detail": "Active UK company at Companies House on 29 October 2026; its chief executive gave evidence to the US Senate on AI scheming, posted 30 September 2026; it now describes itself as a public benefit corporation registered in Delaware with offices in London and San Francisco and a Washington DC office planned from June 2026.",
   "one_line": "Tests the most advanced AI models for deceptive \"scheming\" behaviour and sells monitoring tools that watch and block unwanted actions by AI agents.",
   "description": "Apollo Research studies whether frontier AI models can deceive the people who test and use them, and publishes evaluations and governance work. Its UK company, Apollo Research AI Ltd, was incorporated in London on 16 November 2023. Its About page says \"We are now a Public Benefit Corporation\" and lists a Delaware registration and a San Francisco office. Its May 2026 update says it is hiring its scheming research team \"in London and SF\" and describes two products: Watcher Live, a real-time monitor that blocks unwanted agent actions, and Watcher Analyze, an observability layer for agent deployments. Counted as UK by Alex's decision (27–29 October 2026). [Round 4, 30 Oct 2026] location: Hosted at LISA's London hub (LISA site, 2026; LISA launch post, 2024) [Round 4, 30 Oct 2026] citation: AISI's evaluations bounty pointed applicants to Apollo Research's starter guide for evaluations (5 November 2024) [Labs Round 7, 30 Oct 2026] Listed on Labs (AI safety research) [Labs Round 8, 31 Oct 2026] Apollo Research is now a public benefit corporation. [Safety Round 1, 31 Oct 2026] Alex's Safety file (line 104, as 'Apollo Research') says it is building an AI agent monitoring tool and that its CEO testified to the US Senate on AI scheming on 30 September 2026 (file cites apolloresearch.ai). [Labs Round 9, 31 Oct 2026] Alex's Labs file (line 160, dated 2026-10-13): the file reports (citing a podcast, podcasts.apple.com) that chief executive Marius Hobbhahn described a move from bespoke pre-deployment scheming evaluations towards runtime oversight and deceptive-alignment monitoring tools; it also says he was named on the TIME100 AI list (not checked).",
   "uk_status": "uk",
   "company": {
    "ch_number": "15289159",
    "registered_office": "7 Bell Yard, London, England, WC2A 2JR",
    "incorporated": "2023-11-16",
    "legal_form": "ltd (UK company; parent described as a Delaware public benefit corporation)",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15289159",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15289159",
    "ch_note": null
   },
   "place": {
    "text": "London (WC2A 2JR)",
    "postcode": "WC2A 2JR",
    "lat": 51.514455,
    "lng": -0.111772,
    "region": "England: London",
    "admin_district": "Westminster",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Marius Hobbhahn",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.apolloresearch.ai/about"
    },
    {
     "name": "Chris Akin",
     "role": "COO",
     "from": null,
     "source": "https://www.apolloresearch.ai/about"
    },
    {
     "name": "Charlotte Stix",
     "role": "Chief Governance Officer",
     "from": null,
     "source": "https://www.apolloresearch.ai/about"
    },
    {
     "name": "Alexander Meinke",
     "role": "Head of Research",
     "from": null,
     "source": "https://www.apolloresearch.ai/about"
    },
    {
     "name": "Marius Hobbhahn",
     "role": "CEO, Apollo Research",
     "from": "as at 2026-10-30",
     "source": "https://www.apolloresearch.ai/",
     "round4": true
    },
    {
     "name": "Marius Hobbhahn",
     "role": "CEO and Co-Founder",
     "from": "not stated",
     "source": "https://www.apolloresearch.ai/about",
     "round4": true
    },
    {
     "name": "Charlotte Stix",
     "role": "Chief Governance Officer",
     "from": "not stated",
     "source": "https://www.apolloresearch.ai/about",
     "round4": true
    },
    {
     "name": "Alexander Meinke",
     "role": "Head of Research",
     "from": "not stated",
     "source": "https://www.apolloresearch.ai/team",
     "round4": true
    },
    {
     "name": "Chris Akin",
     "role": "COO",
     "from": "not stated",
     "source": "https://www.apolloresearch.ai/team",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": {
    "maker": "Apollo Research",
    "launched": null,
    "what_it_does": "Watcher Live (\"a real-time monitor that identifies and blocks undesirable actions\") and Watcher Analyze (an observability layer for AI agent deployments)"
   },
   "dsit_domains": [
    "AI security and assurance",
    "Autonomous and agent systems"
   ],
   "sectors": [
    "frontier model evaluation",
    "AI agent monitoring",
    "AI governance"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-apollo-research",
   "type": "Companies",
   "category": "frontier model evaluation",
   "function": "Tests the most advanced AI models for deceptive \"scheming\" behaviour and sells monitoring tools that watch and block unwanted actions by AI agents.",
   "affiliation": "Safety",
   "sources": [
    "https://find-and-update.company-information.service.gov.uk/company/15289159",
    "https://www.apolloresearch.ai/about",
    "https://www.apolloresearch.ai/blog/apollo-update-may-2026",
    "https://www.apolloresearch.ai/blog/apollo-update-may-2026",
    "https://www.lesswrong.com/posts/P7dbHRYfwykEJiDYX/announcing-the-london-initiative-for-safe-ai-lisa",
    "https://www.aisi.gov.uk/blog/evals-bounty",
    "https://www.apolloresearch.ai/",
    "https://arxiv.org/abs/2412.04984",
    "https://www.safeai.org.uk/"
   ],
   "source_quotes": [
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15289159",
     "quotes": [
      "APOLLO RESEARCH AI LTD\" \"Active\" \"7 Bell Yard, London, England, WC2A 2JR\" \"16 November 2023"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.apolloresearch.ai/about",
     "quotes": [
      "We are now a Public Benefit Corporation",
      "have opened an office in San Francisco",
      "CEO / Co-Founder"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.apolloresearch.ai/blog/apollo-update-may-2026",
     "quotes": [
      "We are hiring for the scheming research team in London and SF.",
      "Watcher Live is a real-time monitor that identifies and blocks undesirable actions\" (dated 13 May 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.apolloresearch.ai/blog/apollo-update-may-2026",
     "quotes": [
      "sidebar: \"Apollo Research CEO Marius Hobbhahn testifies before the U.S. Senate on AI scheming\" (dated 30 September 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.lesswrong.com/posts/P7dbHRYfwykEJiDYX/announcing-the-london-initiative-for-safe-ai-lisa",
     "quotes": [
      "a partner of AISI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog/evals-bounty",
     "quotes": [
      "Bounty programme for novel evaluations and agent scaffolding"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.apolloresearch.ai/",
     "quotes": [
      "Apollo Research is focused on reducing risks from scheming frontier AI."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/abs/2412.04984",
     "quotes": [
      "Our findings demonstrate that frontier models now possess capabilities for basic in-context scheming"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.safeai.org.uk/",
     "quotes": [
      "Apollo Research listed among LISA's resident organisations (no verbatim quote captured)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI security and assurance",
    "Autonomous and agent systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (WC2A 2JR)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "GOV-CO-005",
     "name": "AI Security Institute (AISI)",
     "page": "government",
     "href": "../../government/cabinet-office/#org=GOV-CO-005",
     "page_label": "UK Government AI Universe"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Safety"
  },
  {
   "id": "BIZ-SAFE-005",
   "name": "Safe Intelligence",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Active at Companies House, last confirmation statement 15 May 2026; raised a £4.15m seed round led by Amadeus Capital Partners (UKTN, 20 February 2025). Companies House shows SAFE INTELLIGENCE LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Sells software that checks how a trained AI model behaves across very many possible inputs, to find hidden weak points before it is used.",
   "description": "Safe Intelligence is an Imperial College London spin-out. Safe Intelligence Limited was incorporated on 20 July 2021 with Alessio Lomuscio, its chief technology officer, as director; Steven Willmott became a director on 16 January 2025 and is chief executive. UKTN reported on 20 February 2025 that it had \"built a new way of testing AI models\" and closed a £4.15m seed round led by Amadeus Capital Partners, with OTB Ventures and Vsquared Ventures. [Round 4, 30 Oct 2026] LABS: Imperial College spin-out building systems that test and verify machine-learning models to find weaknesses before use. [Labs Round 7, 30 Oct 2026] people: Alessio Lomuscio (CTO); Steven Willmott (chief executive, appointed shortly before Feb 2025) [Labs Round 7, 30 Oct 2026] spun_out_of: Imperial College London [Labs Round 7, 30 Oct 2026] investors_other: OTB Ventures and Vsquared Ventures joined the £4.15m seed led by Amadeus (DEAL-SAFE-002 / DEAL-LAB-2017) [Safety Round 1, 31 Oct 2026] Alex's Safety file (line 70, as 'Safe Intelligence') Companies House 13521100; formal verification and robustness checks of neural networks for aviation, robotics, mobility and finance (file cites safeintelligence.ai). The £4m seed is already in the deals list.",
   "uk_status": "uk",
   "company": {
    "ch_number": "13521100",
    "registered_office": "Demsa Accounts 565 Green Lanes, Haringey, London, England, N8 0RL",
    "incorporated": "2021-07-20",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13521100",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13521100",
    "ch_note": null
   },
   "place": {
    "text": "London (registered office N8 0RL)",
    "postcode": "N8 0RL",
    "lat": 51.582636,
    "lng": -0.100027,
    "region": "England: London",
    "admin_district": "Haringey",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Alessio Lomuscio",
     "role": "CTO and director",
     "from": "2021-07-20",
     "source": "https://find-and-update.company-information.service.gov.uk/company/13521100/officers"
    },
    {
     "name": "Steven Willmott",
     "role": "CEO; director from 2025-01-16",
     "from": null,
     "source": "https://www.uktech.news/ai/safe-intelligence-raises-4m-20250220"
    },
    {
     "name": "Alessio Lomuscio",
     "role": "CTO",
     "from": null,
     "source": "https://www.uktech.news/ai/safe-intelligence-raises-4m-20250220",
     "round4": true
    },
    {
     "name": "Steven Willmott",
     "role": "CEO",
     "from": "2025",
     "source": "https://www.uktech.news/ai/safe-intelligence-raises-4m-20250220",
     "round4": true
    },
    {
     "name": "Steven Willmott",
     "role": "Chief Executive Officer",
     "from": "2025-02",
     "source": "https://safeintelligence.ai/safe-intelligence-raises-4m-to-deliver-advanced-validation-for-reliable-ai/",
     "round4": true
    },
    {
     "name": "Alessio Lomuscio",
     "role": "founder and CTO",
     "from": null,
     "source": "https://safeintelligence.ai/safe-intelligence-raises-4m-to-deliver-advanced-validation-for-reliable-ai/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 4150000,
     "currency": "GBP",
     "date": "2025-02-20",
     "detail": "seed led by Amadeus Capital Partners, with OTB Ventures and Vsquared Ventures",
     "raw": "funding_round: 4150000 GBP 2025-02-20 — seed led by Amadeus Capital Partners, with OTB Ventures and Vsquared Ventures",
     "amount_gbp": 4150000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£4.2m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI security and assurance"
   ],
   "sectors": [
    "AI model verification"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-safe-intelligence",
   "type": "Companies",
   "category": "AI model verification",
   "function": "Sells software that checks how a trained AI model behaves across very many possible inputs, to find hidden weak points before it is used.",
   "affiliation": "Safety",
   "sources": [
    "https://find-and-update.company-information.service.gov.uk/company/13521100",
    "https://find-and-update.company-information.service.gov.uk/company/13521100/officers",
    "https://www.uktech.news/ai/safe-intelligence-raises-4m-20250220",
    "https://safeintelligence.ai/safe-intelligence-raises-4m-to-deliver-advanced-validation-for-reliable-ai/",
    "https://safeintelligence.ai/introducing-spec27-spec-driven-validation-for-ai-applications-and-agents/",
    "https://safeintelligence.ai/scalable-neural-network-geometric-robustness-validation-via-holder-optimisation/"
   ],
   "source_quotes": [
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13521100",
     "quotes": [
      "Active\" \"565 Green Lanes, Haringey, London, England, N8 0RL\" \"20 July 2021\" \"Last statement dated 15 May 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13521100/officers",
     "quotes": [
      "LOMUSCIO, Alessio\" appointed 20 July 2021; \"WILLMOTT, Steven Nicolas\" appointed 16 January 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/safe-intelligence-raises-4m-20250220",
     "quotes": [
      "built a new way of testing AI models",
      "closed a £4.15m seed funding round\" (dated 20 February 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://safeintelligence.ai/safe-intelligence-raises-4m-to-deliver-advanced-validation-for-reliable-ai/",
     "quotes": [
      "Our mission is to provide tools to radically improve our ability to validate machine learned components"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://safeintelligence.ai/introducing-spec27-spec-driven-validation-for-ai-applications-and-agents/",
     "quotes": [
      "an automated specification-driven validation platform for AI applications and agents"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://safeintelligence.ai/scalable-neural-network-geometric-robustness-validation-via-holder-optimisation/",
     "quotes": [
      "H2V opens the way for validation of robustness in present-day NNs with hundreds of millions of tuneable parameters"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI security and assurance"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": "London (registered office N8 0RL)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "Imperial College London"
    },
    {
     "kind": "funded_by",
     "name": "Amadeus Capital Partners"
    },
    {
     "kind": "funded_by",
     "name": "OTB Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Vsquared Ventures"
    },
    {
     "kind": "spun_out_of",
     "name": "Imperial College London"
    },
    {
     "kind": "funded_by",
     "name": "Amadeus Capital Partners"
    },
    {
     "kind": "funded_by",
     "name": "OTB Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Vsquared Ventures"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Safety"
  },
  {
   "id": "BIZ-SAFE-023",
   "name": "Centre for the Governance of AI (GovAI UK)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Its UK company, Centre for the Governance of AI, a company limited by guarantee, was incorporated on 7 August 2024 and is active, registered in London and coded as non-trading. Companies House shows CENTRE FOR THE GOVERNANCE OF AI as Active (checked 31 Oct 2026).",
   "one_line": "A non-profit that researches how governments and companies should govern advanced AI.",
   "description": "The Centre for the Governance of AI is a non-profit research organisation on AI governance. Its UK arm is a company limited by guarantee without share capital, incorporated on 7 August 2024, with a registered office at 20 Old Bailey, London. The earlier pass described a US 501(c)(3) parent and an Oxford origin in the Future of Humanity Institute; those points were not re-opened in this session. [Labs Round 7, 30 Oct 2026] Listed on Labs (AI safety research)",
   "uk_status": "uk",
   "company": {
    "ch_number": "15883729",
    "registered_office": "Third Floor, 20 Old Bailey, London, United Kingdom, EC4M 7AN",
    "incorporated": "2024-08-07",
    "legal_form": "non-profit (company limited by guarantee)",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15883729",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15883729",
    "ch_note": null
   },
   "place": {
    "text": "London (registered office EC4M 7AN)",
    "postcode": "EC4M 7AN",
    "lat": 51.515715,
    "lng": -0.10238,
    "region": "England: London",
    "admin_district": "City of London",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Ben Garfinkel",
     "role": "Executive Director",
     "from": "2021",
     "source": "https://www.governance.ai/about-us",
     "round4": true
    },
    {
     "name": "John Halstead",
     "role": "Director of Research",
     "from": "not stated",
     "source": "https://www.governance.ai/people",
     "round4": true
    },
    {
     "name": "Valerie Belu",
     "role": "Director of Talent",
     "from": "not stated",
     "source": "https://www.governance.ai/people",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI security and assurance"
   ],
   "sectors": [
    "AI governance research"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-centre-for-the-governance-of-ai",
   "type": "Networks, bodies, events and media",
   "category": "AI governance research",
   "function": "A non-profit that researches how governments and companies should govern advanced AI.",
   "affiliation": "Assurance",
   "sources": [
    "https://find-and-update.company-information.service.gov.uk/company/15883729",
    "https://www.governance.ai/about-us",
    "https://www.governance.ai/post/the-centre-for-the-governance-of-ai-has-relaunched",
    "https://www.governance.ai/people"
   ],
   "source_quotes": [
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15883729",
     "quotes": [
      "CENTRE FOR THE GOVERNANCE OF AI\" \"Active\" \"Third Floor, 20 Old Bailey, London, United Kingdom, EC4M 7AN\" \"7 August 2024\" \"Private Limited Company by guarantee without share capital"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.governance.ai/about-us",
     "quotes": [
      "GovAI was founded at Yale University in 2016, with Prof. Allan Dafoe as its Founding Director."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.governance.ai/post/the-centre-for-the-governance-of-ai-has-relaunched",
     "quotes": [
      "Today, we have relaunched as a nonprofit organization."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.governance.ai/people",
     "quotes": [
      "Executive Director\" (title listed for Ben Garfinkel)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI security and assurance"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (registered office EC4M 7AN)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Assurance"
  },
  {
   "id": "BIZ-SAFE-024",
   "name": "London Initiative for Safe AI (LISA)",
   "bucket": "org",
   "status": "active",
   "status_date": "2024-02-05",
   "status_detail": "Opened in September 2023; latest evidence opened is its announcement post of 5 February 2024. Current status and legal entity not confirmed.",
   "one_line": "A shared research centre in London that houses AI safety researchers and small AI safety organisations.",
   "description": "LISA opened in London in September 2023 as an AI safety research centre supporting individual researchers and small organisations, including fiscal sponsorship. In February 2024 its office hosted Apollo Research, Leap Labs, the MATS extension, ARENA and BlueDot Impact. Apollo Research's chief executive Marius Hobbhahn was on its advisory board. Its legal form was not found; no exact match appeared in a Companies House search. [Round 4, 30 Oct 2026] legal entity: Safe AI London Ltd (company behind the LISA trading name, per LISA team page) [Round 4, 30 Oct 2026] location / description: Central London; \"in the heart of London's AI corridor\" [Round 4, 30 Oct 2026] hosted organisations: AI safety organisations: Apollo Research, BlueDot, IAPS. Programmes: LASR Labs, Pivotal, ARENA, Princint residency, Tarbell Center (names taken from the site's logo links) [Round 4, 30 Oct 2026] launch: Announced 2 February 2024 on LessWrong by James Fox, mike_safeAI and Ryan Kidd [Labs Round 7, 30 Oct 2026] Listed on Labs (AI safety research) [Safety Round 1, 31 Oct 2026] Alex's Safety file (line 170, as 'LISA') charity 1211693; company 14942848 (Safe AI London Ltd) (file cites safeai.org.uk).",
   "uk_status": "uk",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Krzysztof Bar",
     "role": "CEO",
     "from": "as listed 2026-10-30",
     "source": "https://www.safeai.org.uk/team",
     "round4": true
    },
    {
     "name": "Emma Hall",
     "role": "Director of Ecosystem",
     "from": "as listed 2026-10-30",
     "source": "https://www.safeai.org.uk/team",
     "round4": true
    },
    {
     "name": "David Arnold",
     "role": "Director of Transformation",
     "from": "as listed 2026-10-30",
     "source": "https://www.safeai.org.uk/team",
     "round4": true
    },
    {
     "name": "Nina Wolff-Ingham",
     "role": "Operations Lead",
     "from": "as listed 2026-10-30",
     "source": "https://www.safeai.org.uk/team",
     "round4": true
    },
    {
     "name": "Charles Ciumei; Andrew Sutton; Adam Gleave; Ryan Kidd; David Norman; Connor Campbell",
     "role": "Trustees",
     "from": "as listed 2026-10-30",
     "source": "https://www.safeai.org.uk/team",
     "round4": true
    },
    {
     "name": "Krzysztof Bar",
     "role": "CEO",
     "from": "not stated",
     "source": "https://www.safeai.org.uk/team",
     "round4": true
    },
    {
     "name": "Emma Hall",
     "role": "Director of Ecosystem",
     "from": "not stated",
     "source": "https://www.safeai.org.uk/team",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI security and assurance"
   ],
   "sectors": [
    "AI safety research hub"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "AI safety research hub",
   "function": "A shared research centre in London that houses AI safety researchers and small AI safety organisations.",
   "affiliation": "Safety",
   "sources": [
    "https://forum.effectivealtruism.org/posts/4pnr37kpDKTDvuuur/announcing-the-london-initiative-for-safe-ai-lisa",
    "https://www.safeai.org.uk/team",
    "https://www.safeai.org.uk/",
    "https://www.lesswrong.com/posts/P7dbHRYfwykEJiDYX/announcing-the-london-initiative-for-safe-ai-lisa"
   ],
   "source_quotes": [
    {
     "url": "https://forum.effectivealtruism.org/posts/4pnr37kpDKTDvuuur/announcing-the-london-initiative-for-safe-ai-lisa",
     "quotes": [
      "The London Initiative for Safe AI (LISA) is a new AI Safety research centre.",
      "We opened in September 2023.",
      "including Apollo Research, Leap Labs, MATS extension, ARENA, and BlueDot Impact\" (dated February 5, 2024)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.safeai.org.uk/team",
     "quotes": [
      "Safe AI London Ltd"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.safeai.org.uk/",
     "quotes": [
      "LISA is an AI safety centre and ecosystem based in central London."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.lesswrong.com/posts/P7dbHRYfwykEJiDYX/announcing-the-london-initiative-for-safe-ai-lisa",
     "quotes": [
      "The London Initiative for Safe AI (LISA) is a new AI Safety research centre."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI security and assurance"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: located_in",
     "id": "BIZ-SAFE-2052",
     "name": "LASR Labs (London AI Safety Research Labs)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2052",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: located_in",
     "id": "BIZ-SAFE-2053",
     "name": "ARENA",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2053",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: located_in",
     "id": "BIZ-SAFE-2055",
     "name": "BlueDot Impact",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2055",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: located_in",
     "id": "BIZ-SAFE-2056",
     "name": "Leap Labs",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2056",
     "page_label": "Safety"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Safety"
  },
  {
   "id": "BIZ-SW-040",
   "name": "Secondmind",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Secondmind Limited is active; it was called PROWLER.IO LIMITED until 4 October 2020.",
   "one_line": "Cambridge-founded AI company; the lead says it sells machine-learning software that helps car makers design and calibrate engines and vehicles (not verified here).",
   "description": "Secondmind Limited was incorporated on 27 January 2016 as PROWLER.IO LIMITED and took the Secondmind name on 4 October 2020. Its business code is software publishing, and its latest accounts are to 31 December 2024. A separate company that took the name PROWLER.IO LIMITED (12529443) was dissolved on 5 October 2021. secondmind.ai was refused by the fetch tool, so its products, customers and leadership are not verified in this session. [Round 6, 30 Oct 2026] latest_money (earliest round, as PROWLER.io): 2017-09-05; Series A; 10,000,000 GBP; Cambridge Innovation Capital (lead); Atlantic Bridge Capital, Passion Capital, Amadeus Capital Partners, SGInnovate; CEO Vishal Chatrath; HQ Cambridge [Labs Round 8, 31 Oct 2026] chief_scientist: Carl Edward Rasmussen, Chief Science Officer; Professor of Machine Learning, University of Cambridge [Labs Round 8, 31 Oct 2026] awards: Three best paper awards: ICML 2019; AISTATS 2020 and 2021; seven patents [Labs Round 8, 31 Oct 2026] customers_or_partners: Mazda (59.7% fewer engineering hours for calibration maps); SCAE partnership for Japanese OEMs (undated) [Labs Round 8, 31 Oct 2026] chief_scientist: Carl Edward Rasmussen — Chief Science Officer; Professor of Machine Learning, University of Cambridge [Labs Round 8, 31 Oct 2026] Listed on Labs (Decision AI): its R&D arm, Secondmind Labs, builds Gaussian-process and Bayesian-optimisation models and open-source libraries (GPflow, GPflux, Trieste); relaunched in 2020 as a decisions company (formerly PROWLER.io) [Labs Round 8, 31 Oct 2026] Listed on Labs (Engineering simulation): Cambridge machine-learning lab (Secondmind Labs) behind GPflow and Trieste, selling active-learning software for vehicle design and calibration",
   "uk_status": "uk",
   "company": {
    "ch_number": "09973282",
    "registered_office": "9th Floor 107 Cheapside, London, United Kingdom, EC2V 6DN",
    "incorporated": "27 January 2016",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "09973282",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/09973282",
    "ch_note": null,
    "legal_name": "SECONDMIND LIMITED",
    "previous_names": [
     "PROWLER.IO LIMITED (2016–2020)",
     "PROWLER.IO LIMITED"
    ],
    "ch_status_r6": "Active",
    "ch_name": "SECONDMIND LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "58290 Software publishing"
    ]
   },
   "place": {
    "text": "London (registered office EC2V 6DN)",
    "postcode": "EC2V 6DN",
    "lat": 51.514178,
    "lng": -0.093552,
    "region": "England: London",
    "admin_district": "City of London",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Carl Edward Rasmussen",
     "role": "Chief Science Officer (leads Secondmind Labs); Professor of Machine Learning, University of Cambridge",
     "from": null,
     "source": "https://www.secondmind.ai/secondmind-labs",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "AI implementation"
   ],
   "sectors": [
    "machine learning for engineering (lead)"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "machine learning for engineering (lead)",
   "function": "Cambridge-founded AI company; the lead says it sells machine-learning software that helps car makers design and calibrate engines and vehicles (not verified here).",
   "affiliation": "Software and tools",
   "sources": [
    "https://find-and-update.company-information.service.gov.uk/company/09973282",
    "https://www.uktech.news/news/cambridge-ai-startup-prowler-io-raises-10m-series-20170905",
    "https://www.secondmind.ai/secondmind-labs",
    "https://www.secondmind.ai/",
    "https://secondmind.ai/research/labs"
   ],
   "source_quotes": [
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/09973282",
     "quotes": [
      "SECONDMIND LIMITED\" \"Active\" \"27 January 2016\" \"PROWLER.IO LIMITED\" (27 Jan 2016 - 04 Oct 2020) \"58290 - Other software publishing"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/news/cambridge-ai-startup-prowler-io-raises-10m-series-20170905",
     "quotes": [
      "raised £10m in Series A funding"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.secondmind.ai/secondmind-labs",
     "quotes": [
      "Our team is led by our Chief Science Officer, Carl Edward Rasmussen, Professor of Machine Learning at Cambridge University."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.secondmind.ai/",
     "quotes": [
      "Mazda achieved a 59.7% reduction in engineering-hours to create high-precision calibration maps."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://secondmind.ai/research/labs",
     "quotes": [
      "Professor of Machine Learning at Cambridge University"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "AI implementation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "decision AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (registered office EC2V 6DN)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Software and tools"
  },
  {
   "id": "BIZ-SW-008",
   "name": "Monolith AI",
   "bucket": "co",
   "status": "acquired",
   "status_date": "2025-11-05",
   "status_detail": "CoreWeave announced an agreement to acquire Monolith on 6 October 2025; Companies House records CoreWeave, Inc. as owner of 75% or more from 5 November 2025, moved to CoreWeave UK Limited on 25 February 2026.",
   "one_line": "Makes machine-learning software that engineers use to learn from physical test data so they can run fewer tests on products such as cars and batteries.",
   "description": "Monolith AI Limited was incorporated in London in May 2016 (as uQuant Limited, renamed 2018) and was founded by Dr Richard Ahlfeld, its chief executive. It sells software that applies machine learning to engineering test data, used by engineering companies to cut the number of physical tests. Imperial College's Touchstone Innovations and Pentech Ventures were earlier significant shareholders. On 6 October 2025 CoreWeave, the US AI cloud company, announced an agreement to buy it; terms were not disclosed. Companies House shows CoreWeave, Inc. as the controlling shareholder from 5 November 2025, which indicates completion, and CoreWeave UK Limited from 25 February 2026. [Labs Round 8, 31 Oct 2026] customers_or_partners: BMW, Honda, BAE Systems, Siemens (as of 2021-08-23); founded 2016 by Richard Ahlfeld [Labs Round 8, 31 Oct 2026] Listed on Labs (Engineering simulation): London AI engineering software that applies machine learning to product test data (acquired 2025-10-06; deal already on site) [Labs Round 8, 31 Oct 2026] Merged with BIZ-SU-IND-021 (Monolith AI, START-UPS) as the Labs Round 8 file asks (Part 1.3 item 26); its facts and sources now sit here.",
   "uk_status": "uk",
   "company": {
    "ch_number": "10200820",
    "registered_office": "Phosphor (6th Floor), 133 Park Street, London, England, SE1 9EA",
    "incorporated": "2016-05-26",
    "legal_form": "ltd",
    "owner_or_acquirer": "CoreWeave (CoreWeave UK Limited from 2026-02-25)",
    "headcount": null,
    "ch_number_clean": "10200820",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10200820",
    "ch_note": null,
    "legal_name": "MONOLITH AI LIMITED",
    "previous_names": [
     "UQUANT LIMITED (2016–2018)"
    ],
    "ch_status_r6": "Active"
   },
   "place": {
    "text": "London (SE1 9EA)",
    "postcode": "SE1 9EA",
    "lat": 51.506675,
    "lng": -0.093332,
    "region": "England: London",
    "admin_district": "Southwark",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Richard Ahlfeld",
     "role": "Founder and CEO",
     "from": null,
     "source": "https://coreweave.com/news/coreweave-to-acquire-monolith-expanding-ai-cloud-platform-into-industrial-innovation"
    },
    {
     "name": "Dr Richard Ahlfeld",
     "role": "Founder and CEO",
     "from": null,
     "source": "https://investors.coreweave.com/news/news-details/2025/CoreWeave-to-Acquire-Monolith-Expanding-AI-Cloud-Platform-into-Industrial-Innovation/default.aspx"
    }
   ],
   "money": [
    {
     "kind": "note",
     "amount": null,
     "currency": null,
     "date": null,
     "detail": null,
     "raw": "null (terms not disclosed)",
     "kind_as_written": null,
     "amount_gbp": null,
     "fx_rate": null,
     "fx_source": null,
     "fx_note": "no amount published",
     "txt": "",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI implementation",
    "Knowledge generation"
   ],
   "sectors": [
    "engineering",
    "automotive",
    "batteries"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": "BIZ-SU-IND-021",
   "package1_id": "biz-monolith-ai",
   "type": "Companies",
   "category": "engineering",
   "function": "Makes machine-learning software that engineers use to learn from physical test data so they can run fewer tests on products such as cars and batteries.",
   "affiliation": "Software and tools",
   "sources": [
    "https://coreweave.com/news/coreweave-to-acquire-monolith-expanding-ai-cloud-platform-into-industrial-innovation",
    "https://find-and-update.company-information.service.gov.uk/company/10200820/persons-with-significant-control",
    "https://find-and-update.company-information.service.gov.uk/company/10200820",
    "https://www.uktech.news/news/london-ai-startup-monolith-ai-funding-20210823",
    "https://investors.coreweave.com/news/news-details/2025/CoreWeave-to-Acquire-Monolith-Expanding-AI-Cloud-Platform-into-Industrial-Innovation/default.aspx",
    "https://www.nafems.org/about-us/media/news/industrynews1003/coreweave-to-acquire-monolith-expanding-ai-cloud-platform-into-industrial-innovation/"
   ],
   "source_quotes": [
    {
     "url": "https://coreweave.com/news/coreweave-to-acquire-monolith-expanding-ai-cloud-platform-into-industrial-innovation",
     "quotes": [
      "October 6, 2025",
      "today announced an agreement to acquire Monolith AI Limited",
      "Terms of the transaction were not disclosed.",
      "Dr. Richard Ahlfeld, Founder and CEO of Monolith"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10200820/persons-with-significant-control",
     "quotes": [
      "Coreweave Uk Limited\" \"Notified on: 25 February 2026",
      "Coreweave, Inc.\" \"Notified on: 5 November 2025\" \"Ownership of shares – 75% or more"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10200820",
     "quotes": [
      "MONOLITH AI LIMITED\" \"Active\" \"Phosphor (6th Floor), 133 Park Street, London, England, SE1 9EA\" \"26 May 2016\" \"UQUANT LIMITED"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/news/london-ai-startup-monolith-ai-funding-20210823",
     "quotes": [
      "Dr Richard Ahlfeld, CEO and founder of Monolith AI"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://investors.coreweave.com/news/news-details/2025/CoreWeave-to-Acquire-Monolith-Expanding-AI-Cloud-Platform-into-Industrial-Innovation/default.aspx",
     "quotes": [
      "a pioneer in applying artificial intelligence and machine learning to solve complex physics and engineering challenges",
      "Terms of the transaction were not disclosed.\" (dated October 6, 2025)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nafems.org/about-us/media/news/industrynews1003/coreweave-to-acquire-monolith-expanding-ai-cloud-platform-into-industrial-innovation/",
     "quotes": [
      "Founder and CEO of Monolith",
      "Nissan, BMW and Honeywell"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI implementation",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (SE1 9EA)",
   "status_group": "acquired",
   "ext_links": [
    {
     "kind": "acquired_by",
     "id": "BIZ-BIG-023",
     "name": "CoreWeave (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-023",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "acquired_by",
     "id": "BIZ-BIG-023",
     "name": "CoreWeave (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-023",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-091",
     "name": "Richard Ahlfeld",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-091",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-091",
     "name": "Richard Ahlfeld",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-091",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Pentech Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Touchstone Innovations (Imperial College)"
    },
    {
     "kind": "funded_by",
     "name": "Pentech Ventures"
    },
    {
     "kind": "spun_out_of",
     "name": "Imperial College London"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Software and tools"
  },
  {
   "id": "BIZ-SW-014",
   "name": "Cosine",
   "bucket": "co",
   "status": "active",
   "status_date": "2024-08-12",
   "status_detail": "Raised US$2.5m reported on 12 August 2024; no later event verified.",
   "one_line": "Makes Genie, an AI software engineer that fixes bugs, builds features and rewrites code on its own or with human developers.",
   "description": "Cosine is a Y Combinator-backed company led by chief executive Alistair Pullen and chief operating officer Yang Li. Its product, Genie, is an AI \"Artificial Developer\" that can \"solve bugs, build features, refactor code\". In August 2024 it raised US$2.5m from SOMA and Uphonest with Lakestar and Focal. Tech.eu calls it a UK start-up \"based between San Francisco and London\". No Companies House record was found under the name Cosine, so its UK company is not confirmed. [Round 4, 30 Oct 2026] LABS: British AI lab building its own advanced models and coding agents; given UK AIRR compute through Sovereign AI. [Round 6, 30 Oct 2026] public compute: AIRR compute from the Sovereign AI Unit (2026-04-16); co-founder Yang Li [Round 6, 30 Oct 2026] key_facts: Selected as one of the first partners in the UK's £500m Sovereign AI programme; awarded 500,000 GPU hours on Isambard-AI via AIRR; platform supports 38+ languages incl. Fortran, COBOL, Ada, Verilog; can run fully inside a customer's infrastructure offline; works with UK defence primes and CNI operators (unnamed) (2026-04-17) [Round 6, 30 Oct 2026] total_funding: $8m raised in total; investors named Lakestar, SOMA Capital, Gaingels; Sovereign AI Fund's venture arm has an option to join the next round (2026-04-17) [Round 6, 30 Oct 2026] headcount / products: Team size 12 (YC profile, 2026-10); YC Winter 2023; products Cosine 3.0, Cosine CLI, Genie; five open roles in London [Round 6, 30 Oct 2026] founders: Alistair Pullen — CEO and co-founder; Yang Li — COO and co-founder; founded 2022 [Round 6 profile, 30 Oct 2026] founded: 2022 (UKTN); hq: null (UKTN does not state); what it does: Builds Genie, an AI coding agent (\"Artificial Developer\") that fixes bugs, builds features and refactors code alone or alongside human developers. Backed by Y Combinator.; usage or revenue as published: 30% on the SWE-Bench coding benchmark (company claim) — 2024-08-13 — UKTN; status now: Active per existing record; no 2025–2026 page opened this round. [Labs Round 7, 30 Oct 2026] founders: Yang Li (co-founder) [Labs Round 7, 30 Oct 2026] models_released: Lumen Sovereign in development with HSBC, Lloyds and NatWest (Jul 2026) — new record BIZ-LAB-3008 [Labs Round 7, 30 Oct 2026] people: Alistair Pullen (co-founder, chief executive); Yang Li (co-founder, chief operating officer); James White (chief commercial officer) [Labs Round 7, 30 Oct 2026] founded: Timeline starts 2022 (no formal founding year stated) [Labs Round 7, 30 Oct 2026] key_facts: 30% on SWE-bench as an alpha design partner for GPT-4 Turbo (2024, per company timeline) [Labs Round 7, 30 Oct 2026] headcount: About 30 (FT headline, 11 Aug 2026, as listed on Cosine's newsroom; FT page not opened) [Labs Round 7, 30 Oct 2026] models_released: Lumen Sovereign (in training, target late 2026) — new record BIZ-LAB-3008; Lumen Outpost (cyber-security model, used with Mimic, Aug 2026); Scout (named on About page) [Labs Round 7, 30 Oct 2026] compute: 500,000 GH200 GPU-hour budget on Isambard-AI for Lumen Sovereign, backed by the UK Government's £500m Sovereign AI programme (June 2026) [Labs Round 7, 30 Oct 2026] self_description: \"UK-based AI research lab\"; GOV.UK calls it \"a British sovereign AI frontier lab\" [Labs Round 7, 30 Oct 2026] own_model_plan: Lumen Sovereign: 1T-parameter intermediate checkpoint with 49.2B active; alpha 2026 Q4, commercial launch 2027 Q1; also Lumen Scout and Lumen Outpost",
   "uk_status": "uk",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "London (and San Francisco)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Alistair Pullen",
     "role": "CEO",
     "from": null,
     "source": "https://tech.eu/2024/08/12/uk-ai-startup-cosine-raises-2-5m-for-its-ai-developer-outperforming-human-coders/"
    },
    {
     "name": "Yang Li",
     "role": "COO",
     "from": null,
     "source": null
    },
    {
     "name": "Yang Li",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Alistair Pullen",
     "role": "CEO and co-founder",
     "from": "2022",
     "source": "https://tech.eu/2026/04/17/cosine-goes-from-benchmark-leader-to-cornerstone-of-uk-sovereign-ai-strategy/",
     "round4": true
    },
    {
     "name": "Yang Li",
     "role": "COO and co-founder",
     "from": "2022",
     "source": "https://tech.eu/2026/04/17/cosine-goes-from-benchmark-leader-to-cornerstone-of-uk-sovereign-ai-strategy/",
     "round4": true
    },
    {
     "name": "Alistair Pullen",
     "role": "Co-founder and CEO",
     "from": "2022",
     "source": "https://www.uktech.news/ai/uk-ai-startup-cosine-developer-20240813",
     "round4": true
    },
    {
     "name": "Yang Li",
     "role": "Co-founder and COO",
     "from": "2022",
     "source": "https://www.uktech.news/ai/uk-ai-startup-cosine-developer-20240813",
     "round4": true
    },
    {
     "name": "Sam Stenner",
     "role": "Co-founder",
     "from": "2022",
     "source": "https://www.uktech.news/ai/uk-ai-startup-cosine-developer-20240813",
     "round4": true
    },
    {
     "name": "Yang Li",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Alistair Pullen",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://cosine.sh/about",
     "round4": true
    },
    {
     "name": "James White",
     "role": "chief commercial officer",
     "from": null,
     "source": "https://cosine.sh/about",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 2500000,
     "currency": "USD",
     "date": "2024-08-12",
     "detail": "round with SOMA, Uphonest, Lakestar and Focal",
     "raw": "funding_round: 2500000 USD 2024-08-12 — round with SOMA, Uphonest, Lakestar and Focal",
     "amount_gbp": 1955417,
     "fx_rate": 1.2785,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2785 per £ on 2024-08-12",
     "fx_date": "2024-08-12",
     "fx_note": "",
     "txt": "US$2.5m",
     "gbp_txt": "£2m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Autonomous and agent systems",
    "AI development and training"
   ],
   "sectors": [
    "developer tools and coding agents",
    "coding agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "developer tools and coding agents",
   "function": "Makes Genie, an AI software engineer that fixes bugs, builds features and rewrites code on its own or with human developers.",
   "affiliation": "Software and tools",
   "sources": [
    "https://tech.eu/2024/08/12/uk-ai-startup-cosine-raises-2-5m-for-its-ai-developer-outperforming-human-coders/",
    "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
    "https://tech.eu/2026/04/17/cosine-goes-from-benchmark-leader-to-cornerstone-of-uk-sovereign-ai-strategy/",
    "https://www.ycombinator.com/companies/cosine",
    "https://www.uktech.news/ai/uk-ai-startup-cosine-developer-20240813",
    "https://www.amlintelligence.com/2026/07/news-hsbc-lloyds-and-natwest-to-develop-uks-first-sovereign-ai-model/",
    "https://cosine.sh/about",
    "https://cosine.sh/newsroom",
    "https://cosine.sh/blog/building-lumen-sovereign-uk-industry-coalition",
    "https://cosine.sh/lumen-sovereign"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2024/08/12/uk-ai-startup-cosine-raises-2-5m-for-its-ai-developer-outperforming-human-coders/",
     "quotes": [
      "$2.5 million",
      "Based between San Francisco and London",
      "solve bugs, build features, refactor code"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "quotes": [
      "a British sovereign AI frontier lab developing advanced models and coding agents"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/04/17/cosine-goes-from-benchmark-leader-to-cornerstone-of-uk-sovereign-ai-strategy/",
     "quotes": [
      "It is the only end-to-end sovereign AI coding platform built, owned, and operated entirely in Britain."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.ycombinator.com/companies/cosine",
     "quotes": [
      "Cosine is a fully agentic SWE that allows you to instantly work on every single ticket at once, asynchronously."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/uk-ai-startup-cosine-developer-20240813",
     "quotes": [
      "(trade) — \"The round was led by Uphonest and SOMA Capital, with participation from Lakestar, Focal, and others."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.amlintelligence.com/2026/07/news-hsbc-lloyds-and-natwest-to-develop-uks-first-sovereign-ai-model/",
     "quotes": [],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://cosine.sh/about",
     "quotes": [
      "COO & Co-Founder\" (Yang Li) ; \"CEO & Co-Founder\" (Alistair Pullen)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://cosine.sh/newsroom",
     "quotes": [
      "Can a 30-person start-up build Britain's answer to OpenAI?"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://cosine.sh/blog/building-lumen-sovereign-uk-industry-coalition",
     "quotes": [
      "To deliver Lumen Sovereign by our target of late 2026,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://cosine.sh/lumen-sovereign",
     "quotes": [
      "a 1T parameter intermediate checkpoint with 49.2B active parameters"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems",
    "AI development and training"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": "London (and San Francisco)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-CLD-025",
     "name": "Vodafone Business–Cosine sovereign frontier model memorandum",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-025",
     "page_label": "Cloud and compute"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-074",
     "name": "Lakestar",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-074",
     "page_label": "Investors"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-WAL-032",
     "name": "Welsh Government–Cosine partnership on Welsh language AI",
     "page": "government",
     "href": "../../government/wales/#org=GOV-WAL-032",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "SOMA Capital"
    },
    {
     "kind": "funded_by",
     "name": "Uphonest"
    },
    {
     "kind": "funded_by",
     "name": "Focal"
    },
    {
     "kind": "funded_by",
     "name": "Y Combinator"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Software and tools"
  },
  {
   "id": "BIZ-SW-031",
   "name": "Speechmatics",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Speechmatics Limited is active on Companies House with its registered office at Cambridge North; no recent event was verified in this session.",
   "one_line": "Makes speech-to-text software that understands many languages, sold to other companies to build into their products.",
   "description": "Speechmatics Limited was incorporated on 11 October 2009 and has its registered office at One Cambridge Square, Cambridge North. Package 1 described it as a Cambridge University-rooted company, founded by Tony Robinson and led by chief executive Katy Wigdahl, that sells speech recognition through an API to developers; the company's own pages could not be re-opened in this session. It sells a building block to developers, so it is kept here, but Alex may prefer a language or voice page. [Added 29 Oct 2026, master Part 2.4] UKTN (28 June 2022) said it was headquartered in Cambridge with offices in London, Boston, Chennai and the Czech Republic, and its software understood 34 languages. [Round 6, 30 Oct 2026] latest_money (earlier round): 2019-10-21; Series A; 6,350,000 GBP; AlbionVC (lead); IQ Capital and angels [Round 6, 30 Oct 2026] key_facts: 29 languages available, over 75 in development (2019-10); 34 languages for speech-to-text (2022-06); customers Deloitte UK, 3Play Media, Veritone (2022-06) [Round 6, 30 Oct 2026] sites: Cambridge (HQ), London, Boston (USA), Chennai (India), Czech Republic (2022-06) [Round 6, 30 Oct 2026] people: John Milliken CEO (2019-10); Katy Wigdahl CEO (2022-06); Jonathan Klahr (Susquehanna) joined board (2022-06) [Round 6 profile, 30 Oct 2026] founded: 2009 (UKTN 2021 Cambridge list); hq: Cambridge (England: East of England); company boilerplate says \"headquartered in Cambridge and London\"; what it does: Speech-to-text software sold through an API. It turns live or recorded speech in 55+ languages into text, in the cloud, on a company's own servers or on the device itself, and is used for voice agents, captioning and medical note-taking.; usage or revenue as published: real-time usage up 4x 2024 to 2025; voice-agent usage up 9x in 2025; medical model usage up 15x year on year — 2026-01-07 — https://www.speechmatics.com/company/articles-and-news/speechmatics-in-2025-the-numbers-that-shaped-voice-ais-breakthrough-year; medical models available in English, German, French, Swedish, Norwegian, Danish, Finnish and Arabic — 2026-02-17 — https://www.speechmatics.com/company/articles-and-news/speechmatics-and-edvak-ehr-partner-to-make-voice-safe-for-clinical-automation; status now: Active; Cambridge-based speech-to-text company led by Katy Wigdahl, announcing healthcare and voice-agent partnerships through 2026. [Labs Round 8, 31 Oct 2026] models_released: Melia (melia-1, 17 Jun 2026); Linden-1 (Agent STT, 17 Sep 2026); Oak-1 (medical, 14 Oct 2026) [Labs Round 8, 31 Oct 2026] founders: Dr Tony Robinson — founder (neural-network speech recognition pioneer at Cambridge University in the 1980s) [Labs Round 8, 31 Oct 2026] chief_executive: Katy Wigdahl (CEO); board includes Jonathan Klar (Susquehanna Growth Equity), Robert Whitby-Smith (Albion VC), Ed Stacey (IQ Capital) [Labs Round 8, 31 Oct 2026] awards: Queen's Award for Enterprise (2019); ISO/IEC 27001:2022 accreditation [Labs Round 8, 31 Oct 2026] Listed on Labs (Speech and audio AI): reason: builds its own speech-recognition models (Melia, Linden-1, Oak-1) [Labs Round 8, 31 Oct 2026] Listed on Labs (Voice agents): reason: its own Linden-1 model powers Agent STT for production voice agents",
   "uk_status": "uk",
   "company": {
    "ch_number": "07037524",
    "registered_office": "One Cambridge Square Milton Avenue, Cambridge North, Cambridge, England, CB4 0AE",
    "incorporated": "2009-10-11",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "07037524",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/07037524",
    "ch_note": null,
    "legal_name": "SPEECHMATICS LIMITED",
    "ch_status_r6": "Active"
   },
   "place": {
    "text": "Cambridge (CB4 0AE)",
    "postcode": "CB4 0AE",
    "lat": 52.22486,
    "lng": 0.157178,
    "region": "England: East of England",
    "admin_district": "South Cambridgeshire",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "null (Package 1 names not re-verified)",
     "role": null,
     "from": null,
     "source": null
    },
    {
     "name": "Katy Wigdahl",
     "role": "CEO (as at June 2022)",
     "from": null,
     "source": null,
     "amendment": true
    },
    {
     "name": "Katy Wigdahl",
     "role": "CEO",
     "from": "— (in role 2022-06)",
     "source": "https://www.uktech.news/ai/speechmatics-series-b-20220628",
     "round4": true
    },
    {
     "name": "John Milliken",
     "role": "CEO (2019)",
     "from": null,
     "source": "https://www.uktech.news/featured/speechmatics-raises-6-35m-series-a-20191021",
     "round4": true
    },
    {
     "name": "Katy Wigdahl",
     "role": "Chief Executive Officer",
     "from": "null (in post by 2022-06)",
     "source": "https://uktech.news/ai/speechmatics-series-b-20220628",
     "round4": true
    },
    {
     "name": "John Milliken",
     "role": "Chief Executive Officer (2019)",
     "from": "null",
     "source": "https://www.uktech.news/featured/speechmatics-raises-6-35m-series-a-20191021",
     "round4": true
    },
    {
     "name": "Lauren King",
     "role": "Chief Marketing Officer",
     "from": "null (in post 2026-01)",
     "source": "https://www.speechmatics.com/company/articles-and-news/speechmatics-in-2025-the-numbers-that-shaped-voice-ais-breakthrough-year",
     "round4": true
    },
    {
     "name": "Jonathan Klahr",
     "role": "Board member (Susquehanna Growth Equity)",
     "from": "2022-06",
     "source": "https://uktech.news/ai/speechmatics-series-b-20220628",
     "round4": true
    },
    {
     "name": "Tony Robinson",
     "role": "Founder",
     "from": "2009",
     "source": "https://www.uktech.news/news/promising-deep-tech-startups-of-cambridge-2021-20210510",
     "round4": true
    },
    {
     "name": "Katy Wigdahl",
     "role": "Chief Executive Officer",
     "from": null,
     "source": "https://www.speechmatics.com/company/about-speechmatics",
     "round4": true
    },
    {
     "name": "Tony Robinson",
     "role": "Founder; board member",
     "from": null,
     "source": "https://www.speechmatics.com/company/about-speechmatics",
     "round4": true
    },
    {
     "name": "Antony Berg",
     "role": "Chief Financial Officer",
     "from": null,
     "source": "https://www.speechmatics.com/company/about-speechmatics",
     "round4": true
    },
    {
     "name": "Ricardo Herreros-Symons",
     "role": "Chief Strategy and Revenue Officer",
     "from": null,
     "source": "https://www.speechmatics.com/company/about-speechmatics",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 62000000,
     "currency": "USD",
     "date": "2022-06-28",
     "detail": "Series B led by Susquehanna Growth Equity, with AlbionVC and IQ Capital",
     "raw": "funding_round: 62000000 USD 2022-06-28 — Series B led by Susquehanna Growth Equity, with AlbionVC and IQ Capital",
     "amendment": true,
     "source": null,
     "amount_gbp": 50815507,
     "fx_rate": 1.2201,
     "fx_date": "2022-06-28",
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2201 per £ on 2022-06-28",
     "fx_note": "",
     "txt": "US$62m",
     "gbp_txt": "£50.8m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Natural language applications",
    "Perceptual systems"
   ],
   "sectors": [
    "conversational and voice AI",
    "speech recognition",
    "voice APIs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "one_line",
     "text": "Makes speech-to-text software that understands many languages, sold to other companies to build into their products."
    },
    {
     "from": "Part 2.4",
     "field": "people",
     "text": "Katy Wigdahl — CEO (as at June 2022)"
    },
    {
     "from": "Part 2.4",
     "field": "money",
     "text": "funding_round: 62000000 USD 2022-06-28 — Series B led by Susquehanna Growth Equity, with AlbionVC and IQ Capital"
    },
    {
     "from": "Part 2.4",
     "field": "description (add)",
     "text": "UKTN (28 June 2022) said it was headquartered in Cambridge with offices in London, Boston, Chennai and the Czech Republic, and its software understood 34 languages."
    },
    {
     "from": "Part 2.4",
     "field": "confidence",
     "text": "single_source (UKTN plus Companies House; product now sourced)"
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-speechmatics",
   "type": "Companies",
   "category": "conversational and voice AI",
   "function": "Makes speech-to-text software that understands many languages, sold to other companies to build into their products.",
   "affiliation": "Software and tools",
   "sources": [
    "https://find-and-update.company-information.service.gov.uk/company/07037524",
    "https://www.uktech.news/ai/speechmatics-series-b-20220628",
    "https://www.uktech.news/featured/speechmatics-raises-6-35m-series-a-20191021",
    "https://uktech.news/ai/speechmatics-series-b-20220628",
    "https://www.speechmatics.com/company/articles-and-news/speechmatics-in-2025-the-numbers-that-shaped-voice-ais-breakthrough-year",
    "https://www.speechmatics.com/company/articles-and-news/speechmatics-and-sully-ai-partner-to-scale-healthcare-ai-infrastructure",
    "https://www.speechmatics.com/company/articles-and-news/speechmatics-sets-record-in-medical-speech-to-text-with-93-percent-accuracy",
    "https://www.speechmatics.com/company/articles-and-news/adobe-and-speechmatics-deliver-cloud-grade-speech-recognition-on-device-for-premiere",
    "https://www.speechmatics.com/company/articles-and-news/speechmatics-and-boost-ai-partner-to-power-enterprise-voice-ai-for-europes-most-regulated-industries",
    "https://www.speechmatics.com/company/articles-and-news/speechmatics-and-edvak-ehr-partner-to-make-voice-safe-for-clinical-automation",
    "https://www.speechmatics.com/company/articles-and-news/speechmatics-collaborates-with-ambarella",
    "https://www.speechmatics.com/company/articles-and-news/barometer-partners-with-speechmatics-to-drive-accuracy-and-inclusion",
    "https://www.uktech.news/news/promising-deep-tech-startups-of-cambridge-2021-20210510",
    "https://www.speechmatics.com/",
    "https://www.speechmatics.com/company/about-speechmatics",
    "https://www.speechmatics.com/company/articles-and-news/meet-agent-stt-powered-by-linden-1-fast-accurate-speech-recognition"
   ],
   "source_quotes": [
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/07037524",
     "quotes": [
      "SPEECHMATICS LIMITED\" \"Active\" \"One Cambridge Square Milton Avenue, Cambridge North, Cambridge, England, CB4 0AE\" \"11 October 2009"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/speechmatics-series-b-20220628",
     "quotes": [
      "Voice recognition scaleup Speechmatics raises £50m for US and Asia expansion"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://www.uktech.news/featured/speechmatics-raises-6-35m-series-a-20191021",
     "quotes": [
      "has raised £6.35m in Series A funding"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://uktech.news/ai/speechmatics-series-b-20220628",
     "quotes": [
      "(trade) — \"raised $62m (£50.3m) to aid its expansion into the US and Asia-Pacific"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/speechmatics-in-2025-the-numbers-that-shaped-voice-ais-breakthrough-year",
     "quotes": [
      "Real-time usage grew 4x from 2024 to 2025."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/speechmatics-and-sully-ai-partner-to-scale-healthcare-ai-infrastructure",
     "quotes": [
      "High-accuracy, low-latency speech recognition is a core enabler for autonomous agents"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/speechmatics-sets-record-in-medical-speech-to-text-with-93-percent-accuracy",
     "quotes": [
      "93% general real-world accuracy"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/adobe-and-speechmatics-deliver-cloud-grade-speech-recognition-on-device-for-premiere",
     "quotes": [
      "across 55+ languages"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/speechmatics-and-boost-ai-partner-to-power-enterprise-voice-ai-for-europes-most-regulated-industries",
     "quotes": [
      "product feature ForceEndOfUtterance named on page"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/speechmatics-and-edvak-ehr-partner-to-make-voice-safe-for-clinical-automation",
     "quotes": [
      "Our medical models are designed to be the reliable foundation for this level of automation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/speechmatics-collaborates-with-ambarella",
     "quotes": [
      "accurately understand speech in over 50 languages"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/barometer-partners-with-speechmatics-to-drive-accuracy-and-inclusion",
     "quotes": [
      "We are thrilled to partner with Barometer, a company that shares our commitment to accuracy and inclusion."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/news/promising-deep-tech-startups-of-cambridge-2021-20210510",
     "quotes": [
      "(trade) — \"Speechmatics provides automatic speech recognition technologies."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/",
     "quotes": [
      "Agent STT, powered by Linden 1"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/about-speechmatics",
     "quotes": [
      "pioneered applying neural networks to speech recognition at Cambridge University"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/meet-agent-stt-powered-by-linden-1-fast-accurate-speech-recognition",
     "quotes": [
      "Linden holds the highest accuracy we've measured across 55+ languages at that speed."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Natural language applications",
    "Perceptual systems"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge (CB4 0AE)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Cambridge"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Software and tools"
  },
  {
   "id": "BIZ-SU-CRE-002",
   "name": "Papercup",
   "bucket": "co",
   "status": "wound_down",
   "status_date": "2025-06-26",
   "status_detail": "RWS announced on 26 June 2025 that it had acquired the intellectual property behind Papercup's AI dubbing technology; the company, Papercup Technologies Limited, is now in liquidation with FRP Advisory as its registered office.",
   "one_line": "Made software that dubbed video into other languages with synthetic voices checked by human editors; sold its technology to RWS in 2025 and is in liquidation.",
   "description": "Papercup Technologies Limited was incorporated in London on 4 December 2017. It raised a US$20m Series A led by Octopus Ventures in June 2022. It built AI dubbing that combined voice synthesis, a library of AI voices and editing tools used by human language specialists to adjust the output. On 26 June 2025 RWS, the UK-listed language services group based in Maidenhead, announced it had acquired the intellectual property behind the technology; no price was published. Companies House now lists the company as in liquidation, with its registered office care of FRP Advisory in the City of London. [Labs Round 8, 31 Oct 2026] Listed on Labs (Speech and audio AI): historical (acquisition and wind-down 2025 already on site; lead reports it in liquidation) — reason: Papercup researchers built their own text-to-speech prosody models and datasets",
   "uk_status": "uk",
   "company": {
    "ch_number": "11093649",
    "registered_office": "C/O Frp Advisory Trading Limited 2nd Floor, 110 Cannon Street, London, EC4N 6EU",
    "incorporated": "2017-12-04",
    "legal_form": "ltd",
    "owner_or_acquirer": "RWS (intellectual property only)",
    "headcount": null,
    "ch_number_clean": "11093649",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11093649",
    "ch_note": null
   },
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Jesse Shemen",
     "role": "CEO (as of June 2022)",
     "from": null,
     "source": "https://www.uktech.news/ai/papercup-funding-16m-20220610"
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 20000000,
     "currency": "USD",
     "date": "2022-06-10",
     "detail": "Series A led by Octopus Ventures with LocalGlobe, Sands Capital, Sky, Guardian Media Ventures, Entrepreneur First and BDMI (total raised then US$30.5m)",
     "raw": "funding_round: 20000000 USD 2022-06-10 — Series A led by Octopus Ventures with LocalGlobe, Sands Capital, Sky, Guardian Media Ventures, Entrepreneur First and BDMI (total raised then US$30.5m)",
     "amount_gbp": 16204829,
     "fx_rate": 1.2342,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2342 per £ on 2022-06-10",
     "fx_date": "2022-06-10",
     "fx_note": "",
     "txt": "US$20m",
     "gbp_txt": "£16.2m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Natural language applications",
    "Perceptual systems"
   ],
   "sectors": [
    "dubbing",
    "localisation",
    "media"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-papercup",
   "type": "Companies",
   "category": "creative",
   "function": "Made software that dubbed video into other languages with synthetic voices checked by human editors; sold its technology to RWS in 2025 and is in liquidation.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.rws.com/about/news/2025/rws-acquires-papercups-ip",
    "https://find-and-update.company-information.service.gov.uk/company/11093649",
    "https://www.uktech.news/ai/papercup-funding-16m-20220610",
    "https://www.tvbeurope.com/artificial-intelligence/papercup-ip-acquired-by-rws-to-power-ai-dubbing",
    "https://arxiv.org/pdf/2303.09446"
   ],
   "source_quotes": [
    {
     "url": "https://www.rws.com/about/news/2025/rws-acquires-papercups-ip",
     "quotes": [
      "6/26/2025",
      "the intellectual property behind Papercup's breakthrough AI dubbing technology",
      "state-of-the-art voice synthesis, thousands of unique AI voices and editorial tools for human language specialists"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11093649",
     "quotes": [
      "PAPERCUP TECHNOLOGIES LIMITED\" \"C/O Frp Advisory Trading Limited 2nd Floor, 110 Cannon Street, London, EC4N 6EU\" \"Liquidation\" \"4 December 2017"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/papercup-funding-16m-20220610",
     "quotes": [
      "Series A funding round",
      "London-based artificial intelligence (AI) company\" (10 June 2022; $20m (£16m), led by Octopus Ventures)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.tvbeurope.com/artificial-intelligence/papercup-ip-acquired-by-rws-to-power-ai-dubbing",
     "quotes": [
      "June 26, 2025",
      "Papercup's AI-powered dubbing technology enables accurate reproduction of a speaker's tone, pace and emotion."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/pdf/2303.09446",
     "quotes": [
      "We address the problem of human-in-the-loop control for generating prosody in the context of text-to-speech synthesis."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Natural language applications",
    "Perceptual systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "wound_down",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-201",
     "name": "Octopus Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-201",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-036",
     "name": "LocalGlobe",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-036",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-TAL-187",
     "name": "Entrepreneur First (EF)",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-187",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "acquired_by",
     "name": "RWS Holdings plc (intellectual property only)"
    },
    {
     "kind": "funded_by",
     "name": "Sky"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-CRE-007",
   "name": "iSIZE",
   "bucket": "co",
   "status": "acquired",
   "status_date": "2023-11-02",
   "status_detail": "Sony Interactive Entertainment announced on 2 November 2023 that it would acquire iSIZE, with terms not disclosed; the UK company iSIZE Limited was dissolved on 7 January 2025.",
   "one_line": "Built deep-learning software that prepares video so it streams at lower bitrates with better quality; bought by PlayStation's owner Sony Interactive Entertainment in 2023.",
   "description": "iSIZE was founded in London in 2016. It made AI tools that cut video bitrates and improved picture quality for media and entertainment companies. On 2 November 2023 Sony Interactive Entertainment announced it would acquire the company, saying the terms, including price, were not disclosed \"due to contractual commitments\". iSIZE Limited was dissolved on 7 January 2025. [Labs Round 8, 31 Oct 2026] Listed on Labs (AI video): historical (acquired by Sony 2023; wind-down 2025 already on site) — reason: London team built deep neural networks as precoders for video codecs",
   "uk_status": "uk",
   "company": {
    "ch_number": "10388803",
    "registered_office": "10 Great Marlborough Street, London, England, W1F 7LP",
    "incorporated": null,
    "legal_form": "ltd",
    "owner_or_acquirer": "Sony Interactive Entertainment",
    "headcount": null,
    "ch_number_clean": "10388803",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10388803",
    "ch_note": null
   },
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Perceptual systems"
   ],
   "sectors": [
    "video streaming",
    "games"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-isize",
   "type": "Companies",
   "category": "creative",
   "function": "Built deep-learning software that prepares video so it streams at lower bitrates with better quality; bought by PlayStation's owner Sony Interactive Entertainment in 2023.",
   "affiliation": "Start-ups",
   "sources": [
    "https://sonyinteractive.com/en/sony-interactive-entertainment-to-acquire-isize-a-uk-based-company-specializing-in-deep-learning-for-video-delivery/",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=isize",
    "https://arxiv.org/pdf/1908.00812"
   ],
   "source_quotes": [
    {
     "url": "https://sonyinteractive.com/en/sony-interactive-entertainment-to-acquire-isize-a-uk-based-company-specializing-in-deep-learning-for-video-delivery/",
     "quotes": [
      "November 2, 2023",
      "Founded in 2016 and based in London",
      "AI-powered solutions to deliver bitrate savings and quality improvements",
      "acquisition cost, are not disclosed due to contractual commitments"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=isize",
     "quotes": [
      "ISIZE LIMITED\" \"10388803\" \"Dissolved on 7 January 2025\" \"10 Great Marlborough Street, London, England, W1F 7LP"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/pdf/1908.00812",
     "quotes": [
      "deep neural networks as precoders for current and future video codecs"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Perceptual systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "acquired",
   "ext_links": [],
   "label_links": [
    {
     "kind": "acquired_by",
     "name": "Sony Interactive Entertainment"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-CRE-011",
   "name": "Colossyan",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Latest funding found: a US$22m round led by Lakestar, reported on 6 February 2024; a UK company, Colossyan Ltd, was incorporated on 23 January 2024. Companies House shows COLOSSYAN LTD as Active (checked 31 Oct 2026).",
   "one_line": "Makes software that turns a written script into a video presented by a computer-generated presenter, used mainly for workplace training.",
   "description": "Colossyan is a London-based company whose chief executive and co-founder is Dominik Mate Kovacs. Users supply a script and pick or create an avatar, and the software produces a video without cameras or actors; it is mainly used for corporate training. It raised US$5m in a round led by LAUNCHub Ventures and Emerge Education (reported 28 February 2023) and US$22m led by Lakestar with Launchub, Day One Capital and Emerge Education (reported 6 February 2024). tech.eu named clients including Porsche, Vodafone and Paramount. Colossyan Ltd is registered at 5 New Street Square, London. [Labs Round 8, 31 Oct 2026] offices: Headquarters Budapest, Hungary; office in London (company about page) — check uk_status [Labs Round 8, 31 Oct 2026] Listed on Labs (AI video): reason: publishes its own avatar model family NEO, NEO 1.5 and NEO 2 (research team in computer vision and speech synthesis) [Labs Round 8, 31 Oct 2026] Headquarters Budapest with a London office (COLOSSYAN LTD, 15434541, active): uk_status foreign_with_uk_base.",
   "uk_status": "foreign_with_uk_base",
   "company": {
    "ch_number": "15434541",
    "registered_office": "5 New Street Square, London, United Kingdom, EC4A 3TW",
    "incorporated": "23 January 2024",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15434541",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15434541",
    "ch_note": null,
    "ch_name": "COLOSSYAN LTD",
    "legal_name": "COLOSSYAN LTD",
    "status_registry": "Active",
    "sic_codes": [
     "82990 Other business support services"
    ]
   },
   "place": {
    "text": "London (EC4A 3TW)",
    "postcode": "EC4A 3TW",
    "lat": 51.515543,
    "lng": -0.108383,
    "region": "England: London",
    "admin_district": "City of London",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Dominik Mate Kovacs",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://tech.eu/2024/02/06/colossyans-ai-text-to-video-platform-attracts-22m-in-latest-funding-round/"
    },
    {
     "name": "Dominik Mate Kovacs",
     "role": "Founder and Chief Executive",
     "from": null,
     "source": "https://www.colossyan.com/about/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 22000000,
     "currency": "USD",
     "date": "2024-02-06",
     "detail": "led by Lakestar with Launchub, Day One Capital and Emerge Education",
     "raw": "funding_round: 22000000 USD 2024-02-06 — led by Lakestar with Launchub, Day One Capital and Emerge Education",
     "amount_gbp": 17492248,
     "fx_rate": 1.2577,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2577 per £ on 2024-02-06",
     "fx_date": "2024-02-06",
     "fx_note": "",
     "txt": "US$22m",
     "gbp_txt": "£17.5m"
    },
    {
     "kind": "funding_round",
     "amount": 5000000,
     "currency": "USD",
     "date": "2023-02-28",
     "detail": "led by LAUNCHub Ventures and Emerge Education (reported as Series A at the time)",
     "raw": "funding_round: 5000000 USD 2023-02-28 — led by LAUNCHub Ventures and Emerge Education (reported as Series A at the time)",
     "amount_gbp": 4129842,
     "fx_rate": 1.2107,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2107 per £ on 2023-02-28",
     "fx_date": "2023-02-28",
     "fx_note": "",
     "txt": "US$5m",
     "gbp_txt": "£4.1m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Perceptual systems",
    "Natural language applications"
   ],
   "sectors": [
    "video production",
    "workplace training"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-colossyan",
   "type": "Companies",
   "category": "creative",
   "function": "Makes software that turns a written script into a video presented by a computer-generated presenter, used mainly for workplace training.",
   "affiliation": "Start-ups",
   "sources": [
    "https://tech.eu/2024/02/06/colossyans-ai-text-to-video-platform-attracts-22m-in-latest-funding-round/",
    "https://www.uktech.news/ai/colossyan-funding-20230228",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=colossyan",
    "https://find-and-update.company-information.service.gov.uk/company/15434541",
    "https://www.colossyan.com/about/",
    "https://www.colossyan.com/research/"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2024/02/06/colossyans-ai-text-to-video-platform-attracts-22m-in-latest-funding-round/",
     "quotes": [
      "$22 million",
      "AI-text-to-video platform",
      "London-based",
      "clients including Porsche, Vodafone, and Paramount"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/colossyan-funding-20230228",
     "quotes": [
      "$5m (£4.1m)",
      "London-based"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=colossyan",
     "quotes": [
      "COLOSSYAN LTD\" \"15434541\" \"23 January 2024\" \"5 New Street Square, London, United Kingdom, EC4A 3TW"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15434541",
     "quotes": [
      "COLOSSYAN LTD",
      "Active",
      "23 January 2024",
      "82990 - Other business support service activities not elsewhere classified"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.colossyan.com/about/",
     "quotes": [
      "Dominik founded Colossyan in 2020 to make video content more accessible for learning teams."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.colossyan.com/research/",
     "quotes": [
      "Most lip-sync models break the moment conditions get difficult."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Perceptual systems",
    "Natural language applications"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (EC4A 3TW)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-074",
     "name": "Lakestar",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-074",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-074",
     "name": "Lakestar",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-074",
     "page_label": "Investors"
    },
    {
     "kind": "supplies_government",
     "id": "GOV-DFE-021",
     "name": "STA: Colossyan AI for voiceovers and videos",
     "page": "government",
     "href": "../../government/education/#org=GOV-DFE-021",
     "page_label": "UK Government AI Universe"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "LAUNCHub Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Emerge Education"
    },
    {
     "kind": "funded_by",
     "name": "Day One Capital"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-065",
   "name": "Peptone",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised a US$2.5m (about £1.84m) seed round led by Hoxton Ventures, reported 8 January 2021; Companies House shows Peptone Ltd active on 29 October 2026. No later page was opened. Companies House shows PEPTONE LTD as Active (checked 31 Oct 2026).",
   "one_line": "Protein-engineering software company that uses AI and physics-based computing to help design medicines.",
   "description": "Peptone Ltd was incorporated in April 2018. UKTN reported in January 2021 that it builds a \"Protein Engineering Operating System (PeOS)\" and \"uses Artificial Intelligence (AI) and quantum computing\" to make drug discovery faster. Its US$2.5m seed round was led by Hoxton Ventures, with Novartis's investment arm, Founders Factory and angel investors. Dr Kamil Tamiola is founder and chief executive. The article said it was building a supercomputing stack in Switzerland. Its registered office is in Mansfield, Nottinghamshire; the operating head office was not confirmed. [Labs Round 8, 31 Oct 2026] offices: Bellinzona (Switzerland); Mansfield (UK); San Francisco (USA) [Labs Round 8, 31 Oct 2026] Listed on Labs (Protein design): models the physics of disordered proteins with AI; PepTron-o structure model with NVIDIA (2025-06-12)",
   "uk_status": "uk",
   "company": {
    "ch_number": "11296080",
    "registered_office": "Cromwell House, 68, West Gate, Mansfield, Nottinghamshire, England, NG18 1RR",
    "incorporated": "6 April 2018",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "11296080",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11296080",
    "ch_note": null,
    "ch_name": "PEPTONE LTD",
    "legal_name": "PEPTONE LTD",
    "status_registry": "Active",
    "sic_codes": [
     "72110 R&D on biotechnology"
    ]
   },
   "place": {
    "text": "null (registered office NG18 1RR)",
    "postcode": "NG18 1RR",
    "lat": 53.146328,
    "lng": -1.198982,
    "region": null,
    "admin_district": "Mansfield",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Dr Kamil Tamiola",
     "role": "Founder and CEO",
     "from": null,
     "source": "https://www.uktech.news/news/uk-biotech-peptone-funding-for-faster-drug-discovery-20210108"
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 2500000,
     "currency": "USD",
     "date": "2021-01-08",
     "detail": "seed led by Hoxton Ventures; Novartis investment arm, Founders Factory, angels",
     "raw": "funding_round: 2500000 USD 2021-01-08 — seed led by Hoxton Ventures; Novartis investment arm, Founders Factory, angels",
     "amount_gbp": 1839588,
     "fx_rate": 1.359,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.359 per £ on 2021-01-08",
     "fx_date": "2021-01-08",
     "fx_note": "",
     "txt": "US$2.5m",
     "gbp_txt": "£1.8m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "drug discovery",
    "protein engineering"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Protein-engineering software company that uses AI and physics-based computing to help design medicines.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/news/uk-biotech-peptone-funding-for-faster-drug-discovery-20210108",
    "https://find-and-update.company-information.service.gov.uk/company/11296080",
    "https://find-and-update.company-information.service.gov.uk/company/11296080/officers",
    "https://peptone.io/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/news/uk-biotech-peptone-funding-for-faster-drug-discovery-20210108",
     "quotes": [
      "$2.5M (nearly £1.84M)",
      "uses Artificial Intelligence (AI) and quantum computing",
      "CEO and founder of Peptone\" (dated 8 January 2021)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11296080",
     "quotes": [
      "PEPTONE LTD\" \"Active\" \"6 April 2018\" \"Cromwell House, 68, West Gate, Mansfield"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11296080/officers",
     "quotes": [
      "TAMIOLA, Kamil, Dr\" Director appointed \"6 April 2018\" (active)",
      "KANJI, Hussein\" Director \"18 November 2020"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://peptone.io/",
     "quotes": [
      "Peptone is building a Product Engine to generate small-molecule drug candidates against intrinsically disordered proteins."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "null (registered office NG18 1RR)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-203",
     "name": "Hoxton Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-203",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-TAL-190",
     "name": "Founders Factory",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-190",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-203",
     "name": "Hoxton Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-203",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Novartis (investment arm)"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-IND-043",
   "name": "Polaron",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised US$8m (£5.85m) led by Racine2, reported 4 February 2026. Companies House shows POLARON LTD as Active (checked 31 Oct 2026).",
   "one_line": "London start-up that trains AI on microscope images and material measurements to predict how manufactured materials will behave.",
   "description": "Polaron calls itself an \"intelligence layer for materials science\". UKTN reported in February 2026 that it trains AI on microscope images and measured properties so engineers can interpret material microstructures and predict behaviour of \"materials used in the manufacturing of products\". It raised US$8m (£5.85m) led by Racine2, with Speedinvest, Futurepresent and angel investors. Isaac Squires is co-founder and chief executive. It is a materials and manufacturing company, not health, and does not train a general-purpose model, so it is placed here rather than on the Health or Labs pages. A Companies House match (Polaron Ltd 14882059, Thame, 2023) was found but not linked to the business on a page opened. [Round 4, 30 Oct 2026] LABS: Trains AI models on microscopy images and material properties to analyse and design material microstructures. [Labs Round 7, 30 Oct 2026] rounds: $8m (2026-02-03) led by Racine2 with Speedinvest, Futurepresent and industrial-AI angels [Labs Round 7, 30 Oct 2026] models_released: AI platform trained on microscopy images and measured properties; 3D reconstruction from 2D images; generative design layer for process–structure–property links [Labs Round 7, 30 Oct 2026] chief_executive: Isaac Squires — chief executive and co-founder [Labs Round 8, 31 Oct 2026] founders: Isaac Squires — CEO; Steve Kench — CTO; Sam Cooper — Chief Scientist (all co-founders) [Labs Round 8, 31 Oct 2026] founded: Imperial College London spin-out after seven years of research; London (E2) [Labs Round 8, 31 Oct 2026] what_it_does: Trains AI models on microscopy images and measured properties to explain and design material microstructures [Labs Round 8, 31 Oct 2026] customers_or_partners: Used by EV makers responsible for over a third of world EV production (customers not named) (2026-02-03)",
   "uk_status": "uk",
   "company": {
    "ch_number": "14882059",
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "14882059",
    "from_round2": true,
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/14882059",
    "ch_note": null
   },
   "place": {
    "text": "London",
    "postcode": "OX9 3EZ",
    "lat": 51.745399,
    "lng": -0.974026,
    "region": "England: London",
    "admin_district": "South Oxfordshire",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Isaac Squires",
     "role": "Co-founder and CEO",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-materials-startup-polaron-raises-6m-20260204"
    },
    {
     "name": "Isaac Squires",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://tech.eu/2026/02/03/polaron-completes-8m-funding-round-for-materials-science-intelligence/",
     "round4": true
    },
    {
     "name": "Isaac Squires",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://tech.eu/2026/02/03/polaron-completes-8m-funding-round-for-materials-science-intelligence/",
     "round4": true
    },
    {
     "name": "Isaac Squires",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.polaron.ai/newsroom/polaron-raises-8m-to-build-the-intelligence-layer-for-materials-science",
     "round4": true
    },
    {
     "name": "Steve Kench",
     "role": "CTO and co-founder",
     "from": null,
     "source": "https://www.polaron.ai/newsroom/polaron-raises-8m-to-build-the-intelligence-layer-for-materials-science",
     "round4": true
    },
    {
     "name": "Sam Cooper",
     "role": "Chief Scientist and co-founder",
     "from": null,
     "source": "https://www.polaron.ai/newsroom/polaron-raises-8m-to-build-the-intelligence-layer-for-materials-science",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 8000000,
     "currency": "USD",
     "date": "2026-02-04",
     "detail": "led by Racine2; Speedinvest, Futurepresent, angels",
     "raw": "funding_round: 8000000 USD 2026-02-04 — led by Racine2; Speedinvest, Futurepresent, angels",
     "amount_gbp": 5854801,
     "fx_rate": 1.3664,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3664 per £ on 2026-02-04",
     "fx_date": "2026-02-04",
     "fx_note": "",
     "txt": "US$8m",
     "gbp_txt": "£5.9m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Perceptual systems",
    "Knowledge generation"
   ],
   "sectors": [
    "materials science",
    "manufacturing"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "industry",
   "function": "London start-up that trains AI on microscope images and material measurements to predict how manufactured materials will behave.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/ai-materials-startup-polaron-raises-6m-20260204",
    "https://find-and-update.company-information.service.gov.uk/company/14882059",
    "https://find-and-update.company-information.service.gov.uk/company/14882059/officers",
    "https://tech.eu/2026/02/03/polaron-completes-8m-funding-round-for-materials-science-intelligence/",
    "https://www.polaron.ai/newsroom/polaron-raises-8m-to-build-the-intelligence-layer-for-materials-science",
    "https://www.polaron.ai/about-us"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/ai-materials-startup-polaron-raises-6m-20260204",
     "quotes": [
      "has raised $8m (£5.85m)",
      "intelligence layer for materials science",
      "a London-based startup",
      "co-founder and chief executive of Polaron\" (dated 4 February 2026)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14882059",
     "quotes": [
      "POLARON LTD\" \"30 Upper High Street, Thame, Oxfordshire, England, OX9 3EZ\" \"Active\" \"19 May 2023"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14882059/officers",
     "quotes": [
      "SQUIRES, Isaac George",
      "COOPER, Samuel John, Dr",
      "KENCH, Steven\" Directors \"19 May 2023"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/02/03/polaron-completes-8m-funding-round-for-materials-science-intelligence/",
     "quotes": [
      "Polaron is building an intelligence layer powered by the world's materials data"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.polaron.ai/newsroom/polaron-raises-8m-to-build-the-intelligence-layer-for-materials-science",
     "quotes": [
      "co-founded by CEO Isaac Squires, CTO Steve Kench and Chief Scientist Sam Cooper."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.polaron.ai/about-us",
     "quotes": [
      "Winner of the £1M Manchester Prize for AI in science and engineering"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Perceptual systems",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "London",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2234",
     "name": "Speedinvest",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2234",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Racine2"
    },
    {
     "kind": "funded_by",
     "name": "Speedinvest"
    },
    {
     "kind": "funded_by",
     "name": "Futurepresent"
    },
    {
     "kind": "funded_by",
     "name": "Racine2"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-013",
   "name": "Antiverse",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised a US$9.3m (£7m) Series A led by Soulmates Ventures, reported 3 March 2026. Companies House shows ANTIVERSE LTD as Active (checked 31 Oct 2026).",
   "one_line": "Cardiff company that uses AI to design antibody drugs against targets that are hard to reach with existing methods.",
   "description": "Antiverse develops therapeutic antibodies designed with an AI-led computational system, aimed at biological targets that conventional antibody discovery has struggled to drug. In March 2026 it raised a £7m Series A led by Soulmates Ventures, joined by Innovation Investment Capital, DOMiNO Ventures, the Development Bank of Wales, Kadmos Capital and the i&i Biotech Fund. Murat Tunaboylu is co-founder and chief executive. The company was incorporated in April 2017 and is registered at Maindy Road, Cardiff. [Labs Round 7, 30 Oct 2026] key_facts: Chief executive and co-founder Murat Tunaboylu; lead investor Soulmates Ventures; others Innovation Investment Capital, DOMiNO Ventures, DBW, Kadmos Capital, i&i Biotech Fund; collaboration with the Cystic Fibrosis Foundation [Labs Round 7, 30 Oct 2026] founders: Founded 2017 in Cardiff by Ben Holland, Murat Tunaboylu (chief executive) and Rowina Westermeier [Labs Round 7, 30 Oct 2026] Listed on Labs (Protein design): Cardiff company whose generative antibody design platform is its main work; $9.3m (£7m) Series A 2026-03-03 already on site (DEAL-INV-015) [Labs Round 8, 31 Oct 2026] what_it_does: Generative AI plus wet-lab antibody discovery for GPCRs and other hard targets; models retrained on its own results [Labs Round 8, 31 Oct 2026] research_focus: GPCR and transmembrane training data since 2017; \">240\" proprietary stable cell lines for GPCRs and ion channels; \"100B Ab-ag interactions probed\" [Labs Round 8, 31 Oct 2026] customers_or_partners: Cystic Fibrosis Foundation (research agreement, 2026-03-10); Nxera Pharma (GPCR antibodies, by 2024-12-28); GlobalBio, Inc. (extended 2023-10-16) [Labs Round 8, 31 Oct 2026] research_leads: Ben Holland — CTO and co-founder [Labs Round 8, 31 Oct 2026] customers_or_partners: Research agreement with the Cystic Fibrosis Foundation, announced alongside a $9.3M Series A (no date on page)",
   "uk_status": "uk",
   "company": {
    "ch_number": "10736975",
    "registered_office": "Sbarc, Spark 5th Floor, Maindy Rd, Cardiff, United Kingdom, CF24 4HQ",
    "incorporated": "2017-04-24",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "10736975",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10736975",
    "ch_note": null
   },
   "place": {
    "text": "Cardiff (CF24 4HQ)",
    "postcode": "CF24 4HQ",
    "lat": 51.493078,
    "lng": -3.184173,
    "region": "Wales",
    "admin_district": "Cardiff",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Murat Tunaboylu",
     "role": "Co-founder and CEO",
     "from": null,
     "source": "https://www.uktech.news/ai/welsh-biotech-raises-7m-for-ai-designed-antibodies-20260303"
    },
    {
     "name": "Murat Tunaboylu",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://www.uktech.news/ai/welsh-biotech-raises-7m-for-ai-designed-antibodies-20260303",
     "round4": true
    },
    {
     "name": "Ben Holland",
     "role": "CTO and co-founder",
     "from": null,
     "source": "https://www.antiverse.io/news",
     "round4": true
    },
    {
     "name": "Murat Tunaboylu",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://www.antiverse.io/about",
     "round4": true
    },
    {
     "name": "Thane Kreiner",
     "role": "Board Chair",
     "from": null,
     "source": "https://www.antiverse.io/about",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 9300000,
     "currency": "USD",
     "date": "2026-03-03",
     "detail": "Series A led by Soulmates Ventures",
     "raw": "funding_round: 9300000 USD 2026-03-03 — Series A led by Soulmates Ventures",
     "amount_gbp": 6991430,
     "fx_rate": 1.3302,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3302 per £ on 2026-03-03",
     "fx_date": "2026-03-03",
     "fx_note": "",
     "txt": "US$9.3m",
     "gbp_txt": "£7m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "drug discovery",
    "antibodies"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Cardiff company that uses AI to design antibody drugs against targets that are hard to reach with existing methods.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/welsh-biotech-raises-7m-for-ai-designed-antibodies-20260303",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=antiverse+ltd",
    "https://find-and-update.company-information.service.gov.uk/company/10736975",
    "https://www.uktech.news/featured/wales-antibody-drug-discovery-platform-antiverse-funding-20210318",
    "https://www.antiverse.io/platform",
    "https://www.antiverse.io/",
    "https://www.antiverse.io/news",
    "https://www.antiverse.io/about",
    "https://tech.eu/2026/03/03/antiverse-secures-93m-series-a-for-ai-antibody-platform/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/welsh-biotech-raises-7m-for-ai-designed-antibodies-20260303",
     "quotes": [
      "Many biologically important targets have remained difficult to drug using conventional antibody discovery methods,",
      "$9.3m (£7m) Series A",
      "Soulmates Ventures"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=antiverse+ltd",
     "quotes": [
      "ANTIVERSE LTD\" \"10736975\" \"24 April 2017\" \"Sbarc, Spark 5th Floor, Maindy Rd, Cardiff, United Kingdom, CF24 4HQ"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10736975",
     "quotes": [
      "ANTIVERSE LTD\" \"Sbarc, Spark 5th Floor, Maindy Rd, Cardiff, United Kingdom, CF24 4HQ\" \"Active\" \"Private limited Company\" \"24 April 2017"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/featured/wales-antibody-drug-discovery-platform-antiverse-funding-20210318",
     "quotes": [
      "Founded in 2017 by Ben Holland, Murat Tunaboylu, and Rowina Westermeier"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.antiverse.io/platform",
     "quotes": [
      "Results feed directly back into the generative model, so the next design cycle starts smarter than the last."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.antiverse.io/",
     "quotes": [
      "Training data purpose built for GPCRs and transmembrane proteins, since 2017."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.antiverse.io/news",
     "quotes": [
      "Antiverse and GlobalBio, Inc. extend collaboration to advance antibody cancer therapeutics"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.antiverse.io/about",
     "quotes": [
      "Antiverse is headquartered in Cardiff, UK, and has offices in Boston, USA and Prague, Czechia."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/03/03/antiverse-secures-93m-series-a-for-ai-antibody-platform/",
     "quotes": [
      "(trade) — \"The financing brings Antiverse’s total capital raised to more than $20 million."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cardiff (CF24 4HQ)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-052",
     "name": "Development Bank of Wales",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-052",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-053",
     "name": "Innovation Investment Capital (Cardiff Capital Region)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-053",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-052",
     "name": "Development Bank of Wales",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-052",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Soulmates Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Kadmos Capital"
    },
    {
     "kind": "funded_by",
     "name": "i&i Biotech Fund"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-016",
   "name": "Ternary Therapeutics",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Secured a £3.6m seed investment led by daphni, with Pace Ventures, the i&i Biotech Fund and the UK Innovation & Science Seed Fund, reported 16 March 2026. Companies House shows TERNARY THERAPEUTICS LTD as Active (checked 31 Oct 2026).",
   "one_line": "London start-up building an AI platform to design 'molecular glue' medicines.",
   "description": "Ternary Therapeutics was founded in 2024 and is building an AI platform to create molecular glues, a class of medicines, combining machine learning, physics-based molecular modelling and rapid laboratory testing. In March 2026 it raised a £3.6m seed round led by daphni. Chris Tame is a co-founder. The company is registered at Triton Street, London. [Labs Round 8, 31 Oct 2026] Listed on Labs (Drug discovery): London start-up (founded 2024) whose AI models design molecular glues, retrained on its own lab results",
   "uk_status": "uk",
   "company": {
    "ch_number": "16004737",
    "registered_office": "Office E, Level 2, 20 Triton Street, London, England, NW1 3BF",
    "incorporated": "2024-10-08",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "16004737",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/16004737",
    "ch_note": null
   },
   "place": {
    "text": "London (NW1 3BF)",
    "postcode": "NW1 3BF",
    "lat": 51.524907,
    "lng": -0.142319,
    "region": "England: London",
    "admin_district": "Camden",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Chris Tame",
     "role": "Co-founder",
     "from": "2024",
     "source": "https://www.uktech.news/medtech/biotech-building-molecular-glues-ai-platform-raises-3-6m-20260316"
    },
    {
     "name": "Chris Tame",
     "role": "Co-founder and CEO",
     "from": "as of 2026-03-16",
     "source": "https://www.uktech.news/medtech/biotech-building-molecular-glues-ai-platform-raises-3-6m-20260316",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 3600000,
     "currency": "GBP",
     "date": "2026-03-16",
     "detail": "seed led by daphni",
     "raw": "funding_round: 3600000 GBP 2026-03-16 — seed led by daphni",
     "amount_gbp": 3600000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£3.6m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "London start-up building an AI platform to design 'molecular glue' medicines.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/medtech/biotech-building-molecular-glues-ai-platform-raises-3-6m-20260316",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=ternary+therapeutics",
    "https://find-and-update.company-information.service.gov.uk/company/16004737/officers",
    "https://find-and-update.company-information.service.gov.uk/company/16004737"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/medtech/biotech-building-molecular-glues-ai-platform-raises-3-6m-20260316",
     "quotes": [
      "London-based business\" \"an AI platform to create a class of medicines known as “molecular glues”,\" \"has secured a £3.6m seed investment\" \"was founded in 2024"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=ternary+therapeutics",
     "quotes": [
      "TERNARY THERAPEUTICS LTD\" \"16004737\" \"8 October 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16004737/officers",
     "quotes": [
      "TAME, Christopher John, Dr.\" Director appointed \"8 October 2024\" (Active)",
      "MEERSCHMAN, Pierre-Yves\" Director \"23 July 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16004737",
     "quotes": [
      "TERNARY THERAPEUTICS LTD | Company number 16004737 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (NW1 3BF)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "daphni"
    },
    {
     "kind": "funded_by",
     "name": "Pace Ventures"
    },
    {
     "kind": "funded_by",
     "name": "i&i Biotech Fund"
    },
    {
     "kind": "funded_by",
     "name": "UK Innovation & Science Seed Fund"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-025",
   "name": "Shift Bioscience",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Closed a US$16m (£12.2m) seed round led by BGF, with F-Prime Capital, Kindred Capital and Jonathan Milner, reported 15 October 2024; no later page opened. Companies House shows SHIFT BIOSCIENCE LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Cambridge company using generative AI to find genes that could make ageing cells young again, as a route to treating age-related disease.",
   "description": "Shift Bioscience was founded in 2017 by Daniel Ives, its chief executive, who previously worked at the Francis Crick Institute. It uses generative AI models to understand how activating certain genes could rejuvenate cells and address age-related illness. In October 2024 it closed a US$16m seed round led by the Business Growth Fund (BGF). Its Companies House record could not be opened in this session. [Labs Round 7, 30 Oct 2026] key_facts: Chief executive Daniel Ives; seed led by BGF with F-Prime Capital, Kindred Capital and Abcam founder Jonathan Milner (who joined the board) [Labs Round 7, 30 Oct 2026] Listed on Labs (Biology): Cambridge company (founded 2017) whose generative AI cell-simulation platform predicts which gene sets can safely rejuvenate cells; $16m seed 2024-10-15 already on site (DEAL-SU-HLT-034) [Labs Round 8, 31 Oct 2026] research_focus: AI virtual cells that predict cells' gene-activity response to switching genes on or off; first screens in fibrosis [Labs Round 8, 31 Oct 2026] research_leads: Brendan Swain — CSO and founder [Labs Round 8, 31 Oct 2026] chief_executive: Daniel Ives — CEO (as of 2024-10-15) [Labs Round 8, 31 Oct 2026] founded: 2017; Cambridge, UK (founding year stated in article body) [Labs Round 8, 31 Oct 2026] news: 2025-11-11 — earlier press release on a metric calibration framework for genetic perturbation modelling (cited in the 2026-10-05 release)",
   "uk_status": "uk",
   "company": {
    "ch_number": "10793871",
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "10793871",
    "from_round2": true,
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10793871",
    "ch_note": null
   },
   "place": {
    "text": "Cambridge",
    "postcode": "CB1 2LA",
    "lat": 52.194995,
    "lng": 0.134061,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Daniel Ives",
     "role": "Founder and CEO",
     "from": "2017",
     "source": "https://www.uktech.news/ai/shift-bioscience-gen-ai-reverse-ageing-20241015"
    },
    {
     "name": "Daniel Ives",
     "role": "chief executive",
     "from": null,
     "source": "https://www.uktech.news/ai/shift-bioscience-gen-ai-reverse-ageing-20241015",
     "round4": true
    },
    {
     "name": "Brendan Swain",
     "role": "CSO and founder",
     "from": null,
     "source": "https://www.scientistlive.com/new-research-from-shift-bioscience-increases-confidence-in-ai-virtual-cells-for-novel-target-discovery/",
     "round4": true
    },
    {
     "name": "Daniel Ives",
     "role": "CEO",
     "from": "as of 2024-10-15",
     "source": "https://www.uktech.news/ai/shift-bioscience-gen-ai-reverse-ageing-20241015",
     "round4": true
    },
    {
     "name": "Laurence Reid",
     "role": "non-executive director",
     "from": "2025-03-11",
     "source": "https://www.businesswire.com/news/home/20250311855995/en/Shift-Bioscience-Announces-Key-Appointments-to-Advance-Rejuvenation-Therapeutics-Pipeline",
     "round4": true
    },
    {
     "name": "Jill Reckless",
     "role": "Translation Advisor",
     "from": "2025-03-11",
     "source": "https://www.businesswire.com/news/home/20250311855995/en/Shift-Bioscience-Announces-Key-Appointments-to-Advance-Rejuvenation-Therapeutics-Pipeline",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 16000000,
     "currency": "USD",
     "date": "2024-10-15",
     "detail": "seed led by BGF, with F-Prime Capital, Kindred Capital and Jonathan Milner",
     "raw": "funding_round: 16000000 USD 2024-10-15 — seed led by BGF, with F-Prime Capital, Kindred Capital and Jonathan Milner",
     "amount_gbp": 12219337,
     "fx_rate": 1.3094,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3094 per £ on 2024-10-15",
     "fx_date": "2024-10-15",
     "fx_note": "",
     "txt": "US$16m",
     "gbp_txt": "£12.2m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "drug discovery",
    "ageing biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Cambridge company using generative AI to find genes that could make ageing cells young again, as a route to treating age-related disease.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/shift-bioscience-gen-ai-reverse-ageing-20241015",
    "https://find-and-update.company-information.service.gov.uk/company/10793871",
    "https://find-and-update.company-information.service.gov.uk/company/10793871/officers",
    "https://www.financialcontent.com/article/bizwire-2026-10-5-shift-bioscience-publication-increases-confidence-in-ai-virtual-cells-for-novel-target-discovery",
    "https://tech.eu/2024/10/15/shift-bioscience-raises-ps125m-to-advance-ai-driven-ageing-research/",
    "https://www.shiftbioscience.com/news/shift-bioscience-identifies-novel-single-gene-target",
    "https://www.businesswire.com/news/home/20250311855995/en/Shift-Bioscience-Announces-Key-Appointments-to-Advance-Rejuvenation-Therapeutics-Pipeline",
    "https://shiftbioscience.com/news/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/shift-bioscience-gen-ai-reverse-ageing-20241015",
     "quotes": [
      "a Cambridge-based health tech startup\" \"closed a $16m (£12.2m) seed funding round\" \"The BGF-led round included participation from F-Prime Capital, Kindred Capital and Abcam founder Jonathan Milner."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10793871",
     "quotes": [
      "SHIFT BIOSCIENCE LIMITED\" \"Salisbury House, Station Road, Cambridge, United Kingdom, CB1 2LA\" \"Active\" \"30 May 2017\" \"NEXTNEURAL LIMITED (30 May 2017 - 04 Oct 2017)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10793871/officers",
     "quotes": [
      "IVES, Daniel Jeremy, Dr\" Director \"30 May 2017",
      "MILNER, Jonathan Simon, Dr\" Director \"11 June 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.financialcontent.com/article/bizwire-2026-10-5-shift-bioscience-publication-increases-confidence-in-ai-virtual-cells-for-novel-target-discovery",
     "quotes": [
      "are designed to predict how cells respond at a transcriptomic level to genetic interventions"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2024/10/15/shift-bioscience-raises-ps125m-to-advance-ai-driven-ageing-research/",
     "quotes": [
      "(trade) — \"Our technology is addressing the current limitations of cellular reprogramming for treatment of age-related illnesses,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.shiftbioscience.com/news/shift-bioscience-identifies-novel-single-gene-target",
     "quotes": [
      "SB000 is well positioned as a target for safer, next-generation cell rejuvenation therapeutics"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.businesswire.com/news/home/20250311855995/en/Shift-Bioscience-Announces-Key-Appointments-to-Advance-Rejuvenation-Therapeutics-Pipeline",
     "quotes": [
      "Shift's technology has clear potential to address this crucial gap"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://shiftbioscience.com/news/",
     "quotes": [
      "timeline entries \"May 2017\" (founding by Dr Daniel Ives) and \"July 2017\" (initial seed); no verbatim sentence captured"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-026",
     "name": "Kindred Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-026",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "BGF"
    },
    {
     "kind": "funded_by",
     "name": "F-Prime Capital"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-037",
   "name": "Healx",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised a US$47m (£37m) Series C led by R42 Group and Atomico, reported 2 August 2024, to take HLX-1502 into a phase 2 trial; no later page opened. Companies House shows HEALX LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Cambridge company that uses AI to find treatments for rare diseases and runs its own clinical trials.",
   "description": "Healx was founded in 2014 and is based in Cambridge. It uses AI to search for treatments for rare diseases, letting machine learning choose both drugs and targets. In August 2024 it announced a US$47m Series C led by R42 Group and Atomico, to take its HLX-1502 programme into a phase 2 trial, which had US FDA approval. Tim Guilliams is co-founder and chief executive. Its company is registered on Hills Road, Cambridge. [Labs Round 8, 31 Oct 2026] what_it_does: Describes itself as an AI-native rare-disease drug company, from discovery to clinic [Labs Round 8, 31 Oct 2026] status_now: Lead candidate HLX-1502 (neurofibromatosis); FDA approved the trial and a Phase 2 start was planned by December 2024 (as of 2024-08-02) [Labs Round 8, 31 Oct 2026] Listed on Labs (Drug discovery): builds its own generative AI drug-discovery engine for rare diseases",
   "uk_status": "uk",
   "company": {
    "ch_number": "09018507",
    "registered_office": "3rd Floor Charter House, 66-68 Hills Road, Cambridge, England, CB2 1LA",
    "incorporated": "2014-04-30",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "09018507",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/09018507",
    "ch_note": null
   },
   "place": {
    "text": "Cambridge (CB2 1LA)",
    "postcode": "CB2 1LA",
    "lat": 52.196862,
    "lng": 0.129263,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Tim Guilliams",
     "role": "Co-founder and CEO",
     "from": "2014",
     "source": "https://www.uktech.news/medtech/healx-series-c-round-20240802"
    },
    {
     "name": "Tim Guilliams",
     "role": "Co-founder and CEO",
     "from": "as of 2024-08-02",
     "source": "https://www.uktech.news/medtech/healx-series-c-round-20240802",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 47000000,
     "currency": "USD",
     "date": "2024-08-02",
     "detail": "Series C led by R42 Group and Atomico",
     "raw": "funding_round: 47000000 USD 2024-08-02 — Series C led by R42 Group and Atomico",
     "amount_gbp": 36698680,
     "fx_rate": 1.2807,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2807 per £ on 2024-08-02",
     "fx_date": "2024-08-02",
     "fx_note": "",
     "txt": "US$47m",
     "gbp_txt": "£36.7m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation"
   ],
   "sectors": [
    "drug discovery",
    "rare diseases"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-healx",
   "type": "Companies",
   "category": "health",
   "function": "Cambridge company that uses AI to find treatments for rare diseases and runs its own clinical trials.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/medtech/healx-series-c-round-20240802",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=healx",
    "https://sifted.eu/articles/ai-drug-discovery-startups",
    "https://find-and-update.company-information.service.gov.uk/company/09018507",
    "https://healx.ai/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/medtech/healx-series-c-round-20240802",
     "quotes": [
      "Cambridge-based drug discovery startup Healx\" \"$47m (£37m) Series C funding round\" \"led by R42 Group and Atomico\" \"Founded in 2014"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=healx",
     "quotes": [
      "HEALX LIMITED (previously HEALX3 LIMITED)\" \"09018507\" \"30 April 2014"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://sifted.eu/articles/ai-drug-discovery-startups",
     "quotes": [
      "Healx aims to remove this bias by entrusting the selection of both drugs and their targets to machine learning algorithms."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/09018507",
     "quotes": [
      "HEALX LIMITED\" \"3rd Floor Charter House, 66-68 Hills Road, Cambridge, England, CB2 1LA\" \"Active\" \"30 April 2014\" \"HEALX3 LIMITED"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://healx.ai/",
     "quotes": [
      "Building the world's first AI-native rare disease pharma."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge (CB2 1LA)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-010",
     "name": "Balderton Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-010",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-011",
     "name": "Atomico",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-011",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "R42 Group"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-038",
   "name": "LabGenius",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised a £35m Series B led by M Ventures, reported 21 May 2024, taking total funding to £58m; no later page opened. Companies House shows LABGENIUS LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "London company that uses machine learning and robotic experiments to design antibody drugs.",
   "description": "LabGenius was founded in 2012 and is based in London. Its EVA platform uses machine learning to design, run and learn from experiments to find high-performing antibodies. In May 2024 it raised a £35m Series B led by M Ventures, with Octopus Ventures, LG Corp and existing investors Atomico, Kindred Capital, Lux Capital and Obvious Ventures, bringing total funding to £58m. James Field is chief executive. Companies House could not be opened in this session. [Round 4, 30 Oct 2026] LABS: Uses machine learning and its EVA robotic platform, running closed-loop experiments, to discover therapeutic antibodies. [Labs Round 7, 30 Oct 2026] rounds: £35m Series B (2024-05-21) led by M Ventures with Octopus Ventures, LG Corp, Atomico, Kindred Capital, Lux Capital, Obvious Ventures; £58m raised in total incl. $10m Series A (2019) [Labs Round 7, 30 Oct 2026] models_released: EVA machine-learning antibody discovery platform; programmes against solid tumours [Labs Round 7, 30 Oct 2026] chief_executive: James Field — chief executive [Labs Round 8, 31 Oct 2026] founded: 2012; London [Labs Round 8, 31 Oct 2026] funding_total_as_published: £58m (2024-05-21) [Labs Round 8, 31 Oct 2026] chief_executive: James Field — CEO (2024-05-21)",
   "uk_status": "uk",
   "company": {
    "ch_number": "08183505",
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "08183505",
    "from_round2": true,
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/08183505",
    "ch_note": null
   },
   "place": {
    "text": "London",
    "postcode": "SE16 4DG",
    "lat": 51.493965,
    "lng": -0.061909,
    "region": "England: London",
    "admin_district": "Southwark",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "James Field",
     "role": "CEO",
     "from": null,
     "source": "https://www.uktech.news/medtech/labgenius-drug-discovery-series-b-20240521"
    },
    {
     "name": "James Field",
     "role": "CEO",
     "from": null,
     "source": "https://tech.eu/2024/05/22/labgenius-secures-ps35m-series-b-funding-for-therapeutic-antibody-discovery/",
     "round4": true
    },
    {
     "name": "James Field",
     "role": "CEO",
     "from": "as of 2024-05-21",
     "source": "https://www.uktech.news/medtech/labgenius-drug-discovery-series-b-20240521",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 35000000,
     "currency": "GBP",
     "date": "2024-05-21",
     "detail": "Series B led by M Ventures; total funding £58m",
     "raw": "funding_round: 35000000 GBP 2024-05-21 — Series B led by M Ventures; total funding £58m",
     "amount_gbp": 35000000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£35m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "drug discovery",
    "antibodies"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-labgenius",
   "type": "Companies",
   "category": "health",
   "function": "London company that uses machine learning and robotic experiments to design antibody drugs.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/medtech/labgenius-drug-discovery-series-b-20240521",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=labgenius+ltd",
    "https://tech.eu/2024/05/22/labgenius-secures-ps35m-series-b-funding-for-therapeutic-antibody-discovery/",
    "https://tech.eu/2020/10/29/labgenius-series-a/",
    "https://tech.eu/2017/11/24/labgenius-funding/",
    "https://find-and-update.company-information.service.gov.uk/company/08183505"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/medtech/labgenius-drug-discovery-series-b-20240521",
     "quotes": [
      "London-based life science firm LabGenius\" \"The funding round was led by M Ventures.\" \"brings LabGenius' total funding to £58m.\" \"Founded in 2012"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=labgenius+ltd",
     "quotes": [
      "LABGENIUS LIMITED",
      "08183505",
      "Incorporated on 17 August 2012",
      "G04 Cocoa Studios The Biscuit Factory, 100 Drummond Road, London, United Kingdom, SE16 4DG"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2024/05/22/labgenius-secures-ps35m-series-b-funding-for-therapeutic-antibody-discovery/",
     "quotes": [
      "a drug discovery company pioneering the use of machine learning for the discovery of novel therapeutic antibodies"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2020/10/29/labgenius-series-a/",
     "quotes": [
      "(trade) — headline \"LabGenius closes $15 million Series A extension led by Atomico, brings round to $25 million"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2017/11/24/labgenius-funding/",
     "quotes": [
      "(trade) — \"EVA is a Silicon Scientist hooked up to a bank of liquid handling robots."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/08183505",
     "quotes": [
      "LABGENIUS LIMITED | Company number 08183505 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "London",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-201",
     "name": "Octopus Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-201",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-011",
     "name": "Atomico",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-011",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-026",
     "name": "Kindred Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-026",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-177",
     "name": "James Field",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-177",
     "page_label": "Talent"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-201",
     "name": "Octopus Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-201",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "M Ventures"
    },
    {
     "kind": "funded_by",
     "name": "LG Corp"
    },
    {
     "kind": "funded_by",
     "name": "M Ventures"
    },
    {
     "kind": "funded_by",
     "name": "LG Corp"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-048",
   "name": "AMPLY Discovery",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised £1.4m in Innovate UK grant funding across two projects (one also supported by Innosuisse), reported 12 February 2024; no later page opened. Companies House shows AMPLY DISCOVERY LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Queen's University Belfast spin-out that uses its own AI model to cut the cost of discovering new drugs.",
   "description": "AMPLY is a Belfast AI drug discovery start-up spun out of Queen's University Belfast. It uses a proprietary AI model that it says reduces the cost of discovering new drugs; UKTN's headline called it a \"ChatGPT for molecule discovery\". In February 2024 it won £1.4m of Innovate UK grant funding. Ben Thomas is co-founder and chief executive and Dermot Tierney is co-founder and chief operating officer. Companies House lists Amply Discovery Limited (NI676691), incorporated February 2021, care of Qubis Ltd at University Road, Belfast. [Round 4, 30 Oct 2026] LABS: Queen's University Belfast spin-out combining AI, sequencing and synthetic biology to find treatments for genetically linked diseases. [Labs Round 7, 30 Oct 2026] founders: Ben Thomas — chief executive and chief architect; Dermot Tierney and Chris Creevey also named as founders; spun out of Queen's University Belfast (Creevey Lab, over 10 years of research) [Labs Round 7, 30 Oct 2026] models_released: AMPLYfolioAI platform: AI, next-generation sequencing and synthetic biology to design biologic drugs [Labs Round 7, 30 Oct 2026] rounds: $1.75m seed (2025-05-01) led by Twin Path Ventures with Venture Science, Co-fund NI, British Business Bank, QUBIS (already on site as DEAL-LAB-2013; investors added here) [Labs Round 8, 31 Oct 2026] founders: Ben Thomas — co-founder and CEO; Dermot Tierney — co-founder and COO; Queen's University Belfast spin-out, 2021 [Labs Round 8, 31 Oct 2026] what_it_does: Proprietary AI model for drug discovery against antibiotic-resistant infections; calls itself \"ChatGPT for molecule discovery\" [Labs Round 8, 31 Oct 2026] uk_government_links: Innovate UK grants: £835,000 (RNAi cancer therapies, with Innosuisse) and £602,000 (inhaled antimicrobials) (2024-02-12)",
   "uk_status": "uk",
   "company": {
    "ch_number": "NI676691",
    "registered_office": "C/O Qubis Ltd, 63 University Road, Belfast, Northern Ireland, BT7 1NF",
    "incorporated": "2021-02-19",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "NI676691",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/NI676691",
    "ch_note": null
   },
   "place": {
    "text": "Belfast (BT7 1NF)",
    "postcode": "BT7 1NF",
    "lat": 54.585528,
    "lng": -5.93641,
    "region": "Northern Ireland",
    "admin_district": "Belfast",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Ben Thomas",
     "role": "Co-founder and CEO",
     "from": null,
     "source": "https://www.uktech.news/medtech/amply-ai-drug-grant-20240212"
    },
    {
     "name": "Dermot Tierney",
     "role": "Co-founder and COO",
     "from": null,
     "source": null
    },
    {
     "name": "Ben Thomas",
     "role": "CEO and chief architect",
     "from": null,
     "source": "https://tech.eu/2025/05/01/queens-university-spin-off-amply-secures-175m-for-ai-drug-discovery/",
     "round4": true
    },
    {
     "name": "Chris Creevey",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2025/05/01/queens-university-spin-off-amply-secures-175m-for-ai-drug-discovery/",
     "round4": true
    },
    {
     "name": "Ben Thomas",
     "role": "chief executive and chief architect",
     "from": null,
     "source": "https://tech.eu/2025/05/01/queens-university-spin-off-amply-secures-175m-for-ai-drug-discovery/",
     "round4": true
    },
    {
     "name": "Ben Thomas",
     "role": "Co-founder and CEO",
     "from": "2021",
     "source": "https://www.uktech.news/medtech/amply-ai-drug-grant-20240212",
     "round4": true
    },
    {
     "name": "Dermot Tierney",
     "role": "Co-founder and COO",
     "from": "2021",
     "source": "https://www.uktech.news/medtech/amply-ai-drug-grant-20240212",
     "round4": true
    },
    {
     "name": "Chris Creevey",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2025/05/01/queens-university-spin-off-amply-secures-175m-for-ai-drug-discovery/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "grant",
     "amount": 1400000,
     "currency": "GBP",
     "date": "2024-02-12",
     "detail": "Innovate UK (two projects)",
     "raw": "grant: 1400000 GBP 2024-02-12 — Innovate UK (two projects)",
     "amount_gbp": 1400000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£1.4m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Queen's University Belfast spin-out that uses its own AI model to cut the cost of discovering new drugs.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/medtech/amply-ai-drug-grant-20240212",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=amply+discovery",
    "https://find-and-update.company-information.service.gov.uk/company/NI676691",
    "https://tech.eu/2025/05/01/queens-university-spin-off-amply-secures-175m-for-ai-drug-discovery/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/medtech/amply-ai-drug-grant-20240212",
     "quotes": [
      "Belfast-based AI drug discovery startup AMPLY\" \"The company uses a proprietary AI model that it says reduces the cost of discovering new drugs.\" \"AMPLY is a spinout from Queen's University Belfast."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=amply+discovery",
     "quotes": [
      "AMPLY DISCOVERY LIMITED\" \"NI676691\" \"19 February 2021\" \"C/O Qubis Ltd, 63 University Road, Belfast"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/NI676691",
     "quotes": [
      "AMPLY DISCOVERY LIMITED",
      "C/O Qubis Ltd, 63 University Road, Belfast, Northern Ireland, BT7 1NF",
      "Active",
      "19 February 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/05/01/queens-university-spin-off-amply-secures-175m-for-ai-drug-discovery/",
     "quotes": [
      "now we're using AI to unlock this wisdom"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "Belfast (BT7 1NF)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2253",
     "name": "Twin Path Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2253",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "Queen's University Belfast"
    },
    {
     "kind": "funded_by",
     "name": "Innovate UK"
    },
    {
     "kind": "spun_out_of",
     "name": "Queen's University Belfast"
    },
    {
     "kind": "funded_by",
     "name": "Co-fund NI"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-055",
   "name": "Kuano",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Mercia Ventures led a £1.8m seed round, reported 13 September 2023; no later page opened. Companies House shows KUANO LTD as Active (checked 31 Oct 2026).",
   "one_line": "Cambridge start-up combining AI and quantum simulation of enzymes to design drugs.",
   "description": "Kuano was co-founded in 2020 by Jarryl D'Oyley, Parminder Ruprah, David Wright and Vid Stojevic, who is chief executive. Its quantum simulation platform lets scientists view enzymes in their dynamic state, and it uses AI to estimate the ideal form of a drug. In September 2023 Mercia Ventures led a £1.8m seed round. Companies House record not confirmed. [Round 4, 30 Oct 2026] LABS: Combines quantum simulation of enzymes with AI tools to design drugs that target specific enzymes. [Labs Round 7, 30 Oct 2026] founders: Vid Stojevic — co-founder and chief executive; co-founders Jarryl D'Oyley, Parminder Ruprah, David Wright; founded 2020 (UKTN 2021: March 2020) [Labs Round 7, 30 Oct 2026] rounds: £1m seed (2021-07-08) from ACF Investors, o2h Ventures and Cambridge angels; £1.8m seed (2023-09-13) led by Mercia Ventures with ACF Investors, Ascension Ventures, o2h Ventures, Meltwind Advisory [Labs Round 7, 30 Oct 2026] partners: Alzheimer's Research UK UCL Drug Discovery Institute research collaboration (2021) [Labs Round 8, 31 Oct 2026] news: 2026-09-01 — \"Kuano demonstrates its agent-supported platform in Singapore\" [Labs Round 8, 31 Oct 2026] news: 2026-05-15 — \"From discussion to demonstration: agentic AI in drug discovery\" (Kuano-hosted event) [Labs Round 8, 31 Oct 2026] news: 2024-08-30 — \"Kuano makes significant strides towards novel bowel cancer therapy\" [Labs Round 8, 31 Oct 2026] uk_government_links: Innovate UK grants: 2020-06-25 and 2023-01-09 (\"design a new generation of cancer drugs\") [Labs Round 8, 31 Oct 2026] chief_executive: Vid Stojevic — CEO (as of 2023-12-15)",
   "uk_status": "uk",
   "company": {
    "ch_number": "12466186",
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "12466186",
    "from_round2": true,
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/12466186",
    "ch_note": null
   },
   "place": {
    "text": "Cambridge",
    "postcode": "CB22 5HX",
    "lat": 52.153615,
    "lng": 0.091763,
    "region": "England: East of England",
    "admin_district": "South Cambridgeshire",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Vid Stojevic",
     "role": "Co-founder and CEO",
     "from": "2020",
     "source": "https://www.uktech.news/medtech/kuano-seed-20230913"
    },
    {
     "name": "Vid Stojevic",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://tech.eu/2023/09/12/kuano-raises1-8m-for-drug-discovery/",
     "round4": true
    },
    {
     "name": "Vid Stojevic",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://www.uktech.news/medtech/kuano-seed-20230913",
     "round4": true
    },
    {
     "name": "Vid Stojevic",
     "role": "CEO",
     "from": "as of 2023-12-15",
     "source": "https://www.kuano.ai/news/older/",
     "round4": true
    },
    {
     "name": "Ted Witek",
     "role": "Board director",
     "from": "2024-02-20",
     "source": "https://www.kuano.ai/news/older/",
     "round4": true
    },
    {
     "name": "Cat Stace",
     "role": "EVP Business Development",
     "from": "2024-02-29",
     "source": "https://www.kuano.ai/news/older/",
     "round4": true
    },
    {
     "name": "David Barrett",
     "role": "Scientific Advisory Board member",
     "from": "2024-05-10",
     "source": "https://www.kuano.ai/news/older/",
     "round4": true
    },
    {
     "name": "David Wright",
     "role": "CTO and co-founder",
     "from": null,
     "source": "https://www.kuano.ai/people",
     "round4": true
    },
    {
     "name": "Antonio Benedetti",
     "role": "Executive Chairman",
     "from": "2022-07-13",
     "source": "https://www.kuano.ai/news/older/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 1800000,
     "currency": "GBP",
     "date": "2023-09-13",
     "detail": "seed led by Mercia Ventures",
     "raw": "funding_round: 1800000 GBP 2023-09-13 — seed led by Mercia Ventures",
     "amount_gbp": 1800000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£1.8m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation"
   ],
   "sectors": [
    "drug discovery",
    "quantum simulation"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Cambridge start-up combining AI and quantum simulation of enzymes to design drugs.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/medtech/kuano-seed-20230913",
    "https://find-and-update.company-information.service.gov.uk/company/12466186",
    "https://find-and-update.company-information.service.gov.uk/company/12466186/officers",
    "https://tech.eu/2023/09/12/kuano-raises1-8m-for-drug-discovery/",
    "https://www.uktech.news/ai/uk-biotech-startup-kuano-lands-1m-for-ai-driven-drug-discovery-20210707",
    "https://www.kuano.ai/news/",
    "https://www.kuano.ai/news/older/",
    "https://www.kuano.ai/news/we-are-delighted-to-announce-the-close-of-our-18m-seed-funding-round-to-accelerate-our-quantum-based-drug-discovery",
    "https://www.kuano.ai/about/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/medtech/kuano-seed-20230913",
     "quotes": [
      "Cambridge-based AI drug-finding startup Kuano.\" \"Mercia Ventures has led a £1.8m seed financing round."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/12466186",
     "quotes": [
      "KUANO LTD\" \"Hauxton House, Mill Scitech Park, Mill Lane, Cambridge, England, CB22 5HX\" \"Active\" \"17 February 2020"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/12466186/officers",
     "quotes": [
      "STOJEVIC, Vid\" Director appointed \"17 February 2020\" (active)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2023/09/12/kuano-raises1-8m-for-drug-discovery/",
     "quotes": [
      "Our platform creates a 'quantum lens' that reveals the difference between enzymes"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/uk-biotech-startup-kuano-lands-1m-for-ai-driven-drug-discovery-20210707",
     "quotes": [
      "quantum physics, artificial intelligence (AI) and medicinal chemistry"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.kuano.ai/news/",
     "quotes": [
      "Kuano demonstrates its agent-supported platform in Singapore"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.kuano.ai/news/older/",
     "quotes": [
      "Kuano makes significant strides towards novel bowel cancer therapy"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.kuano.ai/news/we-are-delighted-to-announce-the-close-of-our-18m-seed-funding-round-to-accelerate-our-quantum-based-drug-discovery",
     "quotes": [
      "further validation of Kuano's quantum simulation platform"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.kuano.ai/about/",
     "quotes": [
      "connects quantum chemistry, molecular simulation and molecular design"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-205",
     "name": "Mercia (Mercia Ventures, Mercia Asset Management PLC)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-205",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-205",
     "name": "Mercia (Mercia Ventures, Mercia Asset Management PLC)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-205",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Mercia Ventures"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-IND-001",
   "name": "Oxa",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "On 4 March 2026 Oxa announced the first close of a US$103m Series D, including an initial US$50m commitment from the National Wealth Fund; completion of a final close was not confirmed on pages opened. Companies House shows OXA AUTONOMY LTD as Active (checked 31 Oct 2026).",
   "one_line": "Makes self-driving software for industrial vehicles that move goods at ports, airports, factories and logistics sites.",
   "description": "Oxa was incorporated in Oxford in September 2014 as Oxbotica and took its current name, Oxa Autonomy, in May 2023. It sells self-driving software it calls Oxa Driver and focuses on what it calls Industrial Mobility Automation, the automation of repetitive industrial driving tasks. On 4 March 2026 it announced a US$103m Series D first close, with the National Wealth Fund committing US$50m (£37m), alongside NVentures (NVIDIA), IP Group, Hostplus and bp Ventures. Paul Newman is founder and chief technology officer. [Round 4, 30 Oct 2026] former name / programmes: Appears as Oxbotica on several CCAV projects (DRIVEN, PAVE, Anytime Anywhere Low Cost Localisation); named in DfT Transport AI Action Plan (2025) [Labs Round 8, 31 Oct 2026] news: 2026-08-03 — Dubai Future Foundation and Oxa launch joint venture SHIFFT for autonomous logistics in ports and airports — https://oxa.tech/news-and-insights/dubai-future-foundation-and-oxa-launch-joint-venture-transforming-dubai-into-global-hub-for-autonomous-logistics/ [Labs Round 8, 31 Oct 2026] news: 2025-09-16 — Oxa expands use of NVIDIA technology (Cosmos world foundation models, DRIVE AGX Thor) in Oxa Foundry — https://oxa.tech/news-and-insights/oxa-and-nvidia-strengthen-transatlantic-tech-ties/ [Labs Round 8, 31 Oct 2026] models_released: Oxa Driver (self-driving software); Oxa Foundry (generative-AI training and assurance toolchain); Oxa Sensor Expansion (synthetic data tool); Oxa Hub (fleet cloud services) [Labs Round 8, 31 Oct 2026] founded: 2014 (formerly Oxbotica; renamed Oxa in 2023) [Labs Round 8, 31 Oct 2026] Listed on Labs (Autonomous driving): reason: builds its own self-driving software (Oxa Driver) and uses generative AI to train it per site (Oxa Foundry)",
   "uk_status": "uk",
   "company": {
    "ch_number": "09242359",
    "registered_office": "Oxbotica Uhq 8050 Alec Issigonis Way, Oxford Business Park North, Oxford, Oxfordshire, England, OX4 2HW",
    "incorporated": "2014-09-30",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "09242359",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/09242359",
    "ch_note": null
   },
   "place": {
    "text": "Oxford Business Park North, Oxford (OX4 2HW)",
    "postcode": "OX4 2HW",
    "lat": 51.733674,
    "lng": -1.205001,
    "region": "England: South East",
    "admin_district": "Oxford",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Paul Newman",
     "role": "Founder and CTO",
     "from": null,
     "source": "https://www.nationalwealthfund.org.uk/news-and-publications/news/oxa-raises-103m-in-series-d-first-close-backed-by-national-wealth-fund-and-leading-investors/"
    },
    {
     "name": "Paul Newman",
     "role": "Founder and Chief Executive",
     "from": null,
     "source": "https://oxa.tech/news-and-insights/accelerating-self-driving-software-development-with-multimodal-search/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 103000000,
     "currency": "USD",
     "date": "2026-03-04",
     "detail": "Series D first close; includes initial 50000000 USD commitment from the National Wealth Fund, with NVentures, IP Group, Hostplus and bp Ventures",
     "raw": "funding_round: 103000000 USD 2026-03-04 — Series D first close; includes initial 50000000 USD commitment from the National Wealth Fund, with NVentures, IP Group, Hostplus and bp Ventures",
     "amount_gbp": 77066966,
     "fx_rate": 1.3365,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3365 per £ on 2026-03-04",
     "fx_date": "2026-03-04",
     "fx_note": "",
     "txt": "US$103m",
     "gbp_txt": "£77.1m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Autonomous and agent systems",
    "Perceptual systems"
   ],
   "sectors": [
    "autonomous vehicles",
    "industrial logistics"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": [
    {
     "from": "Part 2.4",
     "field": "sources (add)",
     "text": "UKTN gives the same round as US$103m (£77.2m) and does not say first or final close; final close still not confirmed on 29 October 2026"
    },
    {
     "from": "Part 2.4",
     "field": "links (add)",
     "text": "acquired → BIZ-SU-IND-042 (StreetDrone), 2024-09-18"
    }
   ],
   "held": [],
   "same_as": null,
   "package1_id": "biz-oxa",
   "type": "Companies",
   "category": "industry",
   "function": "Makes self-driving software for industrial vehicles that move goods at ports, airports, factories and logistics sites.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.nationalwealthfund.org.uk/news-and-publications/news/oxa-raises-103m-in-series-d-first-close-backed-by-national-wealth-fund-and-leading-investors/",
    "https://www.hl.co.uk/shares/stock-market-news/company--news/oxa-secures-$103m-in-series-d-funding",
    "https://find-and-update.company-information.service.gov.uk/company/09242359",
    "https://www.uktech.news/news/the-uk-has-significant-opportunity-to-lead-next-wave-of-robotics-innovation-20260427",
    "https://www.uktech.news/ai/autonomous-driving-firm-oxa-raises-77m-20260304",
    "https://www.uktech.news/ai/oxa-self-driving-industrial-logistics-streetdrone-20240918",
    "https://assets.publishing.service.gov.uk/media/5b8d327840f0b67daf8069fd/ccav-research-and-development-projects.pdf",
    "https://oxa.tech/news-and-insights/dubai-future-foundation-and-oxa-launch-joint-venture-transforming-dubai-into-global-hub-for-autonomous-logistics/",
    "https://oxa.tech/news-and-insights/oxa-and-nvidia-strengthen-transatlantic-tech-ties/",
    "https://oxa.tech/news-and-insights/accelerating-self-driving-software-development-with-multimodal-search/",
    "https://oxa.tech/about/",
    "https://oxa.tech/technology/"
   ],
   "source_quotes": [
    {
     "url": "https://www.nationalwealthfund.org.uk/news-and-publications/news/oxa-raises-103m-in-series-d-first-close-backed-by-national-wealth-fund-and-leading-investors/",
     "quotes": [
      "4 March 2026",
      "raising a total of $103m",
      "Oxa's Founder and CTO"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.hl.co.uk/shares/stock-market-news/company--news/oxa-secures-$103m-in-series-d-funding",
     "quotes": [
      "an initial $50m commitment from the UK's National Wealth Fund"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/09242359",
     "quotes": [
      "OXA AUTONOMY LTD\" \"Active\" \"30 September 2014\" \"OXBOTICA LIMITED\" \"(01 Oct 2014 - 24 May 2023)"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/news/the-uk-has-significant-opportunity-to-lead-next-wave-of-robotics-innovation-20260427",
     "quotes": [
      "Oxford-based autonomous vehicle technology company",
      "£77.2m Series D"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/autonomous-driving-firm-oxa-raises-77m-20260304",
     "quotes": [
      "$103m (£77.2m) Series D funding round",
      "National Wealth Fund, NVIDIA's NVentures, IP Group, Hostplus and BP Ventures"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://www.uktech.news/ai/oxa-self-driving-industrial-logistics-streetdrone-20240918",
     "quotes": [
      "the acquisition of StreetDrone"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": true
    },
    {
     "url": "https://assets.publishing.service.gov.uk/media/5b8d327840f0b67daf8069fd/ccav-research-and-development-projects.pdf",
     "quotes": [
      "vision-only localisation using Oxbotica's Dub4 software"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://oxa.tech/news-and-insights/dubai-future-foundation-and-oxa-launch-joint-venture-transforming-dubai-into-global-hub-for-autonomous-logistics/",
     "quotes": [
      "The focus of the joint venture will be on putting autonomous vehicles to work in ports and airports."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://oxa.tech/news-and-insights/oxa-and-nvidia-strengthen-transatlantic-tech-ties/",
     "quotes": [
      "Oxa remains committed to staying at the forefront of technological advancement."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://oxa.tech/news-and-insights/accelerating-self-driving-software-development-with-multimodal-search/",
     "quotes": [
      "Driving around and waiting for edge cases to naturally occur in the real world isn’t feasible."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://oxa.tech/about/",
     "quotes": [
      "Founded in 2014, we're a global leader in autonomous vehicle (AV) technology"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://oxa.tech/technology/",
     "quotes": [
      "we leverage generative AI to train and assure Oxa Driver for each new customer site."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems",
    "Perceptual systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Oxford Business Park North, Oxford (OX4 2HW)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-005",
     "name": "National Wealth Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-005",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-008",
     "name": "IP Group",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-008",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-047",
     "name": "bp Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-047",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-048",
     "name": "Hostplus",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-048",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: acquired_by",
     "id": "BIZ-SU-IND-042",
     "name": "StreetDrone",
     "page": "startups",
     "href": "../startups/#org=BIZ-SU-IND-042",
     "page_label": "Start-ups"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-005",
     "name": "National Wealth Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-005",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-008",
     "name": "IP Group",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-008",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-047",
     "name": "bp Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-047",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-048",
     "name": "Hostplus",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-048",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-149",
     "name": "Paul Newman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-149",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-149",
     "name": "Paul Newman",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-149",
     "page_label": "Talent"
    },
    {
     "kind": "acquired",
     "id": "BIZ-SU-IND-042",
     "name": "StreetDrone",
     "page": "startups",
     "href": "../startups/#org=BIZ-SU-IND-042",
     "page_label": "Start-ups"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-047",
     "name": "bp Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-047",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-047",
     "name": "bp Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-047",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-048",
     "name": "Hostplus",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-048",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-048",
     "name": "Hostplus",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-048",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-008",
     "name": "IP Group",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-008",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-008",
     "name": "IP Group",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-008",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-005",
     "name": "National Wealth Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-005",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-005",
     "name": "National Wealth Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-005",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-017",
     "name": "NVIDIA and NVentures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-017",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "NVentures (NVIDIA)"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-IND-002",
   "name": "Five AI",
   "bucket": "co",
   "status": "acquired",
   "status_date": "2022-04-12",
   "status_detail": "Bosch announced on 12 April 2022 that it was buying Five for an undisclosed amount; the UK company Five AI Limited remains active at a Cambridge address.",
   "one_line": "Built software to develop and test self-driving car systems; bought by the German engineering group Bosch in 2022.",
   "description": "Five was founded in Cambridge in 2016 and built AI-based autonomous driving software, combining cloud software, safety assurance, robotics and machine learning, with tools to help engineers build and test driving software. Its chief executive at the time of sale was Stan Boland. On 12 April 2022 Bosch said it was buying the company, which then employed 140 people at six locations; financial details were not disclosed. The UK company is still registered and active in Cambridge. [Round 4, 30 Oct 2026] programme: Lead of CCAV project StreetWise (2018 CCAV project list) [Labs Round 8, 31 Oct 2026] news: 2026-08-20 — Bosch's Five AI secures UK Government funding through the CAM Pathfinder programme for AV simulation work — https://www.automotiveworld.com/news/boschs-five-ai-gets-uk-funding-for-av-simulation-work/ [Labs Round 8, 31 Oct 2026] Listed on Labs (Autonomous driving): reason: builds its own AV simulation tool using Gaussian scene reconstruction and diffusion-based AI; Bosch subsidiary in Cambridge",
   "uk_status": "uk",
   "company": {
    "ch_number": "10423075",
    "registered_office": "Fora, 20 Station Road, Cambridge, England, CB1 2JD",
    "incorporated": "2016-10-12",
    "legal_form": "ltd",
    "owner_or_acquirer": "Robert Bosch GmbH (Bosch)",
    "headcount": "140, 2022-04-12, techxplore (AP)",
    "ch_number_clean": "10423075",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10423075",
    "ch_note": null
   },
   "place": {
    "text": "Cambridge (CB1 2JD)",
    "postcode": "CB1 2JD",
    "lat": 52.194439,
    "lng": 0.133975,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Stan Boland",
     "role": "CEO (at acquisition, 2022)",
     "from": null,
     "source": "https://tech.eu/2022/04/12/bosch-goes-for-a-drive-shifts-into-overdrive-and-acquires-five/"
    },
    {
     "name": "Dave Buffey",
     "role": "Head of Bosch Mobility UK",
     "from": null,
     "source": "https://www.automotiveworld.com/news/boschs-five-ai-gets-uk-funding-for-av-simulation-work/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Autonomous and agent systems",
    "AI security and assurance"
   ],
   "sectors": [
    "autonomous vehicles",
    "automotive software"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-five-ai",
   "type": "Companies",
   "category": "industry",
   "function": "Built software to develop and test self-driving car systems; bought by the German engineering group Bosch in 2022.",
   "affiliation": "Start-ups",
   "sources": [
    "https://techxplore.com/news/2022-04-germany-bosch-british-automated-startup.html",
    "https://tech.eu/2022/04/12/bosch-goes-for-a-drive-shifts-into-overdrive-and-acquires-five/",
    "https://find-and-update.company-information.service.gov.uk/company/10423075",
    "https://find-and-update.company-information.service.gov.uk/company/10423075/persons-with-significant-control",
    "https://assets.publishing.service.gov.uk/media/5b8d327840f0b67daf8069fd/ccav-research-and-development-projects.pdf",
    "https://www.automotiveworld.com/news/boschs-five-ai-gets-uk-funding-for-av-simulation-work/"
   ],
   "source_quotes": [
    {
     "url": "https://techxplore.com/news/2022-04-germany-bosch-british-automated-startup.html",
     "quotes": [
      "Germany's Bosch buys British automated driving startup Five",
      "based in Cambridge",
      "employs 140 people at six locations",
      "an undisclosed amount"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2022/04/12/bosch-goes-for-a-drive-shifts-into-overdrive-and-acquires-five/",
     "quotes": [
      "The financial details of the acquisition were not disclosed."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10423075",
     "quotes": [
      "FIVE AI LIMITED\" \"Fora, 20 Station Road, Cambridge, England, CB1 2JD\" \"Active\" \"12 October 2016"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10423075/persons-with-significant-control",
     "quotes": [
      "Five Ai Inc",
      "Ownership of shares – 75% or more",
      "notified \"12 October 2016",
      "ceased \"27 June 2022",
      "statement from 5 July 2022: \"The company knows or has reasonable cause to believe that there is no registrable person"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://assets.publishing.service.gov.uk/media/5b8d327840f0b67daf8069fd/ccav-research-and-development-projects.pdf",
     "quotes": [
      "a company specialising in perception and artificial intelligence technologies"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.automotiveworld.com/news/boschs-five-ai-gets-uk-funding-for-av-simulation-work/",
     "quotes": [
      "Five AI has been developing simulation software for automotive manufacturers since 2015."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems",
    "AI security and assurance"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge (CB1 2JD)",
   "status_group": "acquired",
   "ext_links": [],
   "label_links": [
    {
     "kind": "acquired_by",
     "name": "Bosch"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-ENR-006",
   "name": "Open Climate Fix",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Its Quartz Solar forecast went live in the National Energy System Operator's control room, announced 6 November 2025. Companies House shows OPEN CLIMATE FIX LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "A not-for-profit that builds open machine-learning forecasts of solar power, used by Britain's grid operator to balance the system.",
   "description": "Open Climate Fix is a not-for-profit climate-tech organisation founded in 2019 by Jack Kelly, formerly of Google DeepMind, and Dan Travers, formerly of Origin Energy and SunGard. Its code is open source. On 6 November 2025 it announced that Quartz Solar, its AI solar forecasting tool, was live in the NESO control room, helping avoid an estimated £30m in imbalance costs a year; pv magazine said NESO uses the forecasts to decide how much reserve to buy. It is exploring commercial work to fund research and expansion to markets such as the Netherlands. Its company, Open Climate Fix Limited, is limited by guarantee and registered at County Hall, London. [Round 4, 30 Oct 2026] alumni_of: Digital Catapult Machine Intelligence Garage cohort, September 2020 [Round 4, 30 Oct 2026] deal / programme: DESNZ AI for Decarbonisation Stream 2 grant £121,500 for solar PV forecasting using real-time PV and satellite data; listed as London [Round 4, 30 Oct 2026] product: Open-source PV generation forecasting tools listed by the ADViCE software-and-tools page [Labs Round 8, 31 Oct 2026] founded: 2019 [Labs Round 8, 31 Oct 2026] what_it_does: Open-source, open-data non-profit; projects: solar forecasting, cloudcasting, wind forecasting, mapping rooftop solar, demand forecasting; GB and NL national solar forecasts; open models on GitHub and Hugging Face [Labs Round 8, 31 Oct 2026] customers_or_partners: NESO (daily use of GB solar forecast after an innovation pilot); staff of Octopus Energy Trading and Google DeepMind quoted on OCF's home page [Labs Round 8, 31 Oct 2026] Listed on Labs (Energy): builds its own AI forecasts of solar and wind generation, cloud movement and demand; its GB solar forecast is used daily in NESO's control room (product BIZ-LAB-10010) [Labs Round 8, 31 Oct 2026] Listed on Labs (Forecasting): AI forecasting for grid operators and energy traders (solar, wind, cloudcasting, demand)",
   "uk_status": "uk",
   "company": {
    "ch_number": "11833152",
    "registered_office": "Sustainable Ventures, County Hall, Belvedere Road, London, England, SE1 7PB",
    "incorporated": "18 February 2019",
    "legal_form": "non-profit (private company limited by guarantee without share capital)",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "11833152",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11833152",
    "ch_note": null,
    "ch_name": "OPEN CLIMATE FIX LIMITED",
    "legal_name": "OPEN CLIMATE FIX LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "62012; 62020; 63110; 72190"
    ]
   },
   "place": {
    "text": "County Hall, London (SE1 7PB)",
    "postcode": "SE1 7PB",
    "lat": 51.501972,
    "lng": -0.119003,
    "region": "England: London",
    "admin_district": "Lambeth",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Jack Kelly",
     "role": "Co-founder",
     "from": "2019",
     "source": "https://www.openclimatefix.org/insights/neso-adopts-ai-solar-forecasting-control-room"
    },
    {
     "name": "Dan Travers",
     "role": "Co-founder",
     "from": "2019",
     "source": null
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "Perceptual systems"
   ],
   "sectors": [
    "energy",
    "solar forecasting",
    "grid"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-open-climate-fix",
   "type": "Companies",
   "category": "energy",
   "function": "A not-for-profit that builds open machine-learning forecasts of solar power, used by Britain's grid operator to balance the system.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.openclimatefix.org/insights/neso-adopts-ai-solar-forecasting-control-room",
    "https://www.pv-magazine.com/2025/11/07/ai-powered-solar-forecasting-helps-uk-grid-operator-reduce-balancing-costs/",
    "https://find-and-update.company-information.service.gov.uk/company/11833152",
    "https://www.digicatapult.org.uk/about/press-releases/post/latest-group-of-10-ai-startups-joins-digital-catapults-machine-intelligence-garage/",
    "https://www.gov.uk/government/publications/artificial-intelligence-for-decarbonisation-innovation-programme-successful-projects/ai-for-decarbonisation-innovation-programme-stream-2-successful-projects",
    "https://www.digicatapult.org.uk/advice/insights/software-and-tools/",
    "https://www.openclimatefix.org/our-model",
    "https://www.openclimatefix.org/",
    "https://www.openclimatefix.org/work/solar-forecasting"
   ],
   "source_quotes": [
    {
     "url": "https://www.openclimatefix.org/insights/neso-adopts-ai-solar-forecasting-control-room",
     "quotes": [
      "Nov 06, 2025",
      "is now live in the National Energy System Operator's (NESO) control room",
      "helping avoid an estimated £30 million in imbalance costs every year"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.pv-magazine.com/2025/11/07/ai-powered-solar-forecasting-helps-uk-grid-operator-reduce-balancing-costs/",
     "quotes": [
      "is now being used in the National Energy System Operator (NESO) control room to forecast PV generation",
      "exploring commercialization opportunities to fund further research"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11833152",
     "quotes": [
      "OPEN CLIMATE FIX LIMITED\" \"Active\" \"18 February 2019\" \"Private company limited by guarantee without share capital"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.digicatapult.org.uk/about/press-releases/post/latest-group-of-10-ai-startups-joins-digital-catapults-machine-intelligence-garage/",
     "quotes": [
      "a new non-profit research and development lab focused on using machine learning."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/publications/artificial-intelligence-for-decarbonisation-innovation-programme-successful-projects/ai-for-decarbonisation-innovation-programme-stream-2-successful-projects",
     "quotes": [
      "The project will use artificial intelligence"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.digicatapult.org.uk/advice/insights/software-and-tools/",
     "quotes": [
      "forecasting tools"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.openclimatefix.org/our-model",
     "quotes": [
      "Open Climate Fix was born in 2019 out of a simple observation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.openclimatefix.org/",
     "quotes": [
      "As an open source and open data non-profit, we focus on scalable impact, not just financial growth."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.openclimatefix.org/work/solar-forecasting",
     "quotes": [
      "We partnered with NESO as an innovation project to pilot our AI forecast during its early phases."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "Perceptual systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "County Hall, London (SE1 7PB)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "supplies_government",
     "id": "GOV-DESNZ-022",
     "name": "National Energy System Operator (NESO): Data & AI",
     "page": "government",
     "href": "../../government/desnz/#org=GOV-DESNZ-022",
     "page_label": "UK Government AI Universe"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-155",
     "name": "Jack Kelly",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-155",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-155",
     "name": "Jack Kelly",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-155",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-156",
     "name": "Dan Travers",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-156",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: founder_of",
     "id": "BIZ-TAL-156",
     "name": "Dan Travers",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-156",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "alumni_of",
     "name": "Digital Catapult Machine Intelligence Garage cohort, September 2020"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-IND-026",
   "name": "Monumo",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Companies House lists Monumo Limited as active at the University of Warwick Science Park, Coventry; no dated news page was opened in this session.",
   "one_line": "Uses AI-driven simulation to design electric motors for vehicle makers (description from Package 1, not re-opened).",
   "description": "Monumo Limited was incorporated on 19 July 2018 as EM2020, became EM21 in 2019 and Monumo in July 2021. Its registered office is at Sovereign Court, University of Warwick Science Park, Coventry, and its listed activities include engineering design and research. The earlier Package 1 pass described it as using machine learning and simulation to design electric motors, with a £10.5m seed in 2024 and an Innovate UK grant with the University of Nottingham; those sources were not re-opened in this session. [Labs Round 7, 30 Oct 2026] Listed on Labs (Engineering simulation): Cambridge and Coventry company (founded 2021) using AI and machine learning to redesign the electric motor, running millions of simulations a day; founder and chief executive Dominic Vergine [Labs Round 8, 31 Oct 2026] founded: 2021; Cambridge and Coventry [Labs Round 8, 31 Oct 2026] founders: Dominic Vergine — founder (CEO as of 2024-02-23; formerly VP sustainability at Arm) [Labs Round 8, 31 Oct 2026] chief_executive: Jarek Rzepecki — \"recently appointed\" CEO (as of 2026-04-07) [Labs Round 8, 31 Oct 2026] models_released: Anser — proprietary AI engine (new record BIZ-LAB-12022) [Labs Round 8, 31 Oct 2026] Jarek Rzepecki, earlier its CTO, is reported as chief executive (UKTN, 7 April 2026; trade, one source).",
   "uk_status": "uk",
   "company": {
    "ch_number": "11472121",
    "registered_office": "Unit 1, Sovereign Court 1, University Of Warwick Science Park, Sir William Lyons Road, Coventry, England, CV4 7EZ",
    "incorporated": "19 July 2018",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "11472121",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11472121",
    "ch_note": null,
    "ch_name": "MONUMO LIMITED",
    "legal_name": "MONUMO LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "71121 Engineering design; 71200 Technical testing; 72190 R&D"
    ],
    "previous_names": [
     "EM21 LTD; EM2020 LTD"
    ]
   },
   "place": {
    "text": "University of Warwick Science Park, Coventry (CV4 7EZ)",
    "postcode": "CV4 7EZ",
    "lat": 52.387015,
    "lng": -1.558093,
    "region": "England: West Midlands",
    "admin_district": "Coventry",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Dominic Vergine",
     "role": "founder and chief executive",
     "from": null,
     "source": "https://www.uktech.news/news/founder-interviews/monumo-founder-dominic-vergine-20240223",
     "round4": true
    },
    {
     "name": "Jarek Rzepecki",
     "role": "Chief executive officer",
     "from": "by 2026-04-07",
     "source": "https://www.uktech.news/the-circuit/in-conversation-with-monumos-jarek-rzepecki-20260407",
     "round4": true
    },
    {
     "name": "Dominic Vergine",
     "role": "Founder (CEO as of 2024-02-23)",
     "from": "2021",
     "source": "https://www.uktech.news/news/founder-interviews/monumo-founder-dominic-vergine-20240223",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI implementation",
    "Knowledge generation"
   ],
   "sectors": [
    "electric motors",
    "automotive engineering"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": "biz-monumo",
   "type": "Companies",
   "category": "industry",
   "function": "Uses AI-driven simulation to design electric motors for vehicle makers (description from Package 1, not re-opened).",
   "affiliation": "Start-ups",
   "sources": [
    "https://find-and-update.company-information.service.gov.uk/company/11472121",
    "https://www.uktech.news/news/founder-interviews/monumo-founder-dominic-vergine-20240223",
    "https://www.uktech.news/the-circuit/in-conversation-with-monumos-jarek-rzepecki-20260407",
    "https://tech.eu/2024/02/22/how-monumos-proprietary-tech-is-transforming-electric-motor-design/",
    "https://tech.eu/2024/08/07/monumos-innovations-in-electric-drive-design-a-ps750000-boost-from-innovate-uk/"
   ],
   "source_quotes": [
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11472121",
     "quotes": [
      "MONUMO LIMITED\" \"Active\" \"19 July 2018\" \"EM21 LTD\" \"EM2020 LTD"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/news/founder-interviews/monumo-founder-dominic-vergine-20240223",
     "quotes": [
      "Founded in 2021, Monumo this week came out of stealth backed by £10.5m in seed funding."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/the-circuit/in-conversation-with-monumos-jarek-rzepecki-20260407",
     "quotes": [
      "the recently appointed chief executive officer of Monumo"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2024/02/22/how-monumos-proprietary-tech-is-transforming-electric-motor-design/",
     "quotes": [
      "(trade) — \"Traditional approaches built on legacy software only enable about 50,000 simulations in a day."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2024/08/07/monumos-innovations-in-electric-drive-design-a-ps750000-boost-from-innovate-uk/",
     "quotes": [
      "(trade) — \"we are focused on the EV market initially"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI implementation",
    "Knowledge generation"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "University of Warwick Science Park, Coventry (CV4 7EZ)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SW-401",
   "name": "Malted AI",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Companies House shows the company as Active on 29 October 2026; its last reported funding was a £6m seed round in May 2024.",
   "one_line": "Makes small, task-specific AI language models for businesses by distilling the outputs of large models.",
   "description": "Malted AI builds a platform that distils large language models into smaller models for single business tasks. UKTN (trade) reported in May 2024 that it was piloting these with financial and legal firms, and that it had raised £6m in seed funding led by Hoxton Ventures, after a £1m pre-seed round led by Creator Fund. UKTN describes it as Edinburgh-based. Its registered office is in London. The company was incorporated as Malt AI Ltd in July 2023 and renamed Malted AI Ltd in April 2024. An earlier Scottish company, Malted AI (Scotland) Ltd, was dissolved on 19 August 2025. [Round 4, 30 Oct 2026] LABS: Distils large language models into smaller task-specific models for businesses; piloting with finance and legal firms. [Round 4, 30 Oct 2026] programme / links: member_of: Tech Nation Future Fifty (cohort announced at No 10, page dated 29 May 2025) [Round 4, 30 Oct 2026] Companies House (read 30 October 2026): Active; BIZ-SW-606 is a second record for the same company [Round 6 profile, 30 Oct 2026] founded: 2023 (UKTN); hq: Edinburgh (Scotland); what it does: A \"distillation\" platform that turns the output of large language models into smaller, tailored AI models for a firm's own tasks, which it says cost less to run.; status now: Active per existing record; no 2025–2026 page opened this round. [Labs Round 8, 31 Oct 2026] Merged with BIZ-SW-606 (Malted AI, SOFTWARE & TOOLS) as the Labs Round 8 file asks (Part 1.3 item 26); its facts and sources now sit here.",
   "uk_status": "uk",
   "company": {
    "ch_number": "15033703",
    "registered_office": "Level 4, Dashwood House, 69 Old Broad Street, London, United Kingdom, EC2M 1QS",
    "incorporated": "2023-07-27",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "15033703",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15033703",
    "ch_note": null,
    "legal_name": "MALTED AI LTD",
    "previous_names": [
     "MALT AI LTD (2023–2024)"
    ],
    "ch_status_r6": "Active"
   },
   "place": {
    "text": "Edinburgh (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "Scotland"
   },
   "people": [
    {
     "name": "Iain Mackie",
     "role": "chief executive and co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/malted-ai-funding-20240515"
    },
    {
     "name": "Iain Mackie",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.uktech.news/ai/malted-ai-funding-20240515",
     "round4": true
    },
    {
     "name": "Iain Mackie",
     "role": "Co-founder and CEO",
     "from": "2023",
     "source": "https://www.uktech.news/ai/malted-ai-funding-20240515",
     "round4": true
    },
    {
     "name": "Iain Mackie",
     "role": "founder and CEO",
     "from": "2023",
     "source": "https://malted.ai/company",
     "round4": true
    },
    {
     "name": "Carlos Gemmell",
     "role": "founder and Chief Scientist",
     "from": "2023",
     "source": "https://malted.ai/company",
     "round4": true
    },
    {
     "name": "Federico Rossetto",
     "role": "founder and Chief Architect",
     "from": "2023",
     "source": "https://malted.ai/company",
     "round4": true
    },
    {
     "name": "Ewen Fleming",
     "role": "Chief Commercial Officer",
     "from": null,
     "source": "https://malted.ai/company",
     "round4": true
    },
    {
     "name": "Sandy Nairn",
     "role": "Chairman",
     "from": null,
     "source": "https://malted.ai/company",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 6000000,
     "currency": "GBP",
     "date": "2024-05-15",
     "detail": "seed round led by Hoxton Ventures, with Creator Fund and angels",
     "raw": "funding_round: 6000000 GBP 2024-05-15 — seed round led by Hoxton Ventures, with Creator Fund and angels",
     "amount_gbp": 6000000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£6m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Natural language applications",
    "AI development and training"
   ],
   "sectors": [
    "developer tools and coding agents",
    "enterprise software",
    "language models"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "developer tools and coding agents",
   "function": "Makes small, task-specific AI language models for businesses by distilling the outputs of large models.",
   "affiliation": "Software and tools",
   "sources": [
    "https://www.uktech.news/ai/malted-ai-funding-20240515",
    "https://find-and-update.company-information.service.gov.uk/company/15033703",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=malted+ai",
    "https://technation.io/unveils-latest-cohort-of-tech-scaleups-at-number-10/",
    "https://find-and-update.company-information.service.gov.uk/company/15033703/officers",
    "https://malted.ai/company",
    "https://malted.ai/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/malted-ai-funding-20240515",
     "quotes": [
      "Edinburgh-based AI startup Malted",
      "raised £6m",
      "a world-leading distillation platform that solves the highest value enterprise problems\" (accessed 2026-10-29) (trade)"
     ],
     "accessed": null,
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15033703",
     "quotes": [
      "Level 4, Dashwood House, 69 Old Broad Street, London, United Kingdom, EC2M 1QS",
      "Active",
      "27 July 2023",
      "MALT AI LTD"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=malted+ai",
     "quotes": [
      "MALTED AI (SCOTLAND) LTD",
      "SC771808",
      "Dissolved on 19 August 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://technation.io/unveils-latest-cohort-of-tech-scaleups-at-number-10/",
     "quotes": [
      "A platform that leverages distillation to build accurate small language models that are efficient enough to self-host."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15033703/officers",
     "quotes": [
      "MACKIE, Iain\" \"Director\" \"27 July 2023"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://malted.ai/company",
     "quotes": [
      "specialised intelligence, purpose-designed for financial services"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://malted.ai/",
     "quotes": [
      "AI built for financial services, not adapted from consumer technology."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Natural language applications",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": "Edinburgh (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funds",
     "id": "BIZ-INV-203",
     "name": "Hoxton Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-203",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-203",
     "name": "Hoxton Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-203",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-203",
     "name": "Hoxton Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-203",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-203",
     "name": "Hoxton Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-203",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Creator Fund"
    },
    {
     "kind": "funded_by",
     "name": "Creator Fund"
    },
    {
     "kind": "founded_by",
     "name": "Iain Mackie"
    },
    {
     "kind": "founded_by",
     "name": "Iain Mackie"
    },
    {
     "kind": "funded_by",
     "name": "Creator Fund"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Software and tools"
  },
  {
   "id": "BIZ-SU-IND-504",
   "name": "Chemify",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "On 20 June 2025 the University of Glasgow reported the opening of Chemify's first Chemifarm, a 21,500 sq ft site at Oakbank Industrial Estate, Glasgow. Companies House shows CHEMIFY LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Designs new molecules with AI and makes them with robotic chemistry machines.",
   "description": "Chemify was founded in 2019 as a University of Glasgow spin-out by Professor Lee Cronin, its chief executive, from his digital chemistry research. It combines an AI molecular-design engine with industrial-scale robotic synthesis. In August 2023 it announced £36 million of funding including a Series A led by Triatomic Capital, with Horizon Ventures (UKTN reported £33.6 million). In June 2025 it opened its first Chemifarm at Oakbank Industrial Estate, off Garscube Road, in a £12 million project backed by Innovate UK's Innovation Accelerator programme. Glasgow named it Spin-out of the Year 2024. [Labs Round 8, 31 Oct 2026] news: 2026-04-09 — \"Chemify Founder Publishes Three Papers Validating Chemputation To Reimagine New Chemical Discovery and Development\" (Business Wire) — https://www.chemify.io/news-and-articles [Labs Round 8, 31 Oct 2026] news: 2025-06-20 — \"Chemify Launches the World’s First Chemputation Facility Revolutionizing Molecular Design and Manufacture\" — https://www.chemify.io/news-and-articles [Labs Round 8, 31 Oct 2026] chief_executive: Lee Cronin — founder and chief executive (2023-08-02) [Labs Round 8, 31 Oct 2026] Listed on Labs (AI for science): Glasgow \"chemputation\" company combining AI, robotics and automated synthesis to design and make molecules",
   "uk_status": "uk",
   "company": {
    "ch_number": "SC645290",
    "registered_office": "School Of Chemistry, University Of Glasgow, Glasgow, Scotland, G12 8QQ",
    "incorporated": "2019-10-24",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "SC645290",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/SC645290",
    "ch_note": null
   },
   "place": {
    "text": "Oakbank Industrial Estate, off Garscube Road, Glasgow (postcode not on page opened; null; null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "Scotland"
   },
   "people": [
    {
     "name": "Lee Cronin",
     "role": "founder and chief executive",
     "from": "2019",
     "source": "https://www.gla.ac.uk/news/archiveofnews/2025/june/headline_1190127_en.html"
    },
    {
     "name": "Lee Cronin",
     "role": "Founder and chief executive",
     "from": null,
     "source": "https://www.uktech.news/medtech/chemify-raises-33-6m-20230802",
     "round4": true
    },
    {
     "name": "Rima Alameddine",
     "role": "Board director",
     "from": "2026-10-22",
     "source": "https://www.chemify.io/news-and-articles",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 36000000,
     "currency": "GBP",
     "date": "2023-08-02",
     "detail": "\"including a Series A led by Triatomic Capital\"; UKTN gives £33.6m",
     "raw": "funding_round: 36000000 GBP 2023-08-02 — \"including a Series A led by Triatomic Capital\"; UKTN gives £33.6m",
     "amount_gbp": 36000000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£36m",
     "gbp_txt": ""
    },
    {
     "kind": "grant",
     "amount": 12000000,
     "currency": "GBP",
     "date": "2025-06-20",
     "detail": "Chemifarm project backed by Innovate UK's Innovation Accelerator programme (project value as published)",
     "raw": "grant: 12000000 GBP 2025-06-20 — Chemifarm project backed by Innovate UK's Innovation Accelerator programme (project value as published)",
     "amount_gbp": 12000000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£12m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "chemistry",
    "materials",
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "industry",
   "function": "Designs new molecules with AI and makes them with robotic chemistry machines.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.gla.ac.uk/news/archiveofnews/2025/june/headline_1190127_en.html",
    "https://www.gla.ac.uk/news/archiveofnews/2023/august/headline_990451_en.html",
    "https://www.uktech.news/medtech/chemify-raises-33-6m-20230802",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=Chemify",
    "https://www.chemify.io/news-and-articles",
    "https://find-and-update.company-information.service.gov.uk/company/SC645290"
   ],
   "source_quotes": [
    {
     "url": "https://www.gla.ac.uk/news/archiveofnews/2025/june/headline_1190127_en.html",
     "quotes": [
      "unites Chemify’s AI-driven molecular-design engine with industrial-scale robotic synthesis",
      "Chemify CEO and founder Prof Lee Cronin"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gla.ac.uk/news/archiveofnews/2023/august/headline_990451_en.html",
     "quotes": [
      "funding of £36 million including a Series A led by Triatomic Capital."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/medtech/chemify-raises-33-6m-20230802",
     "quotes": [
      "Founded in 2019 as a spinout from the University of Glasgow",
      "has raised £33.6m"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=Chemify",
     "quotes": [
      "CHEMIFY LIMITED",
      "SC645290",
      "24 October 2019"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.chemify.io/news-and-articles",
     "quotes": [
      "Chemify’s drug discovery platform validated by papers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/SC645290",
     "quotes": [
      "CHEMIFY LIMITED | Company number SC645290 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "Oakbank Industrial Estate, off Garscube Road, Glasgow (postcode not on page opened; null; null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "spun_out_of",
     "id": "UNI:glasgow/GLAAI-029",
     "name": "Universities: glasgow/GLAAI-029",
     "page": "universities",
     "href": "https://hazy-wreath-hez6.here.now/glasgow/",
     "page_label": "UK Universities AI Universe (new tab)"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Triatomic Capital"
    },
    {
     "kind": "funded_by",
     "name": "Horizon Ventures"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-OTH-506",
   "name": "digiLab",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Named by the University of Exeter on 5 September 2025 among Exeter spin-out companies visited by the Science and Technology Minister. Companies House shows DIGILAB SOLUTIONS LTD as Active (checked 31 Oct 2026).",
   "one_line": "Exeter company that builds AI and machine-learning tools, employing Exeter graduates.",
   "description": "The University of Exeter listed digiLab among the Exeter spin-out companies the Science and Technology Minister visited in September 2025, saying it specialises in AI and machine learning and employs a number of Exeter graduates. A Companies House search shows DIGILAB SOLUTIONS LTD (13292372), incorporated 25 March 2021 at the Generator Hub, Kings Wharf, Exeter; the match is by name and city only (see Gaps). [Labs Round 8, 31 Oct 2026] customers_or_partners: UK Atomic Energy Authority (STEP programme), reported 14 Jan 2026 [Labs Round 8, 31 Oct 2026] Listed on Labs (Energy): built machine-learning models with quantified uncertainty for UKAEA to predict plasma turbulence in spherical tokamak designs (Jan 2026; product BIZ-LAB-10015)",
   "uk_status": "uk",
   "company": {
    "ch_number": "13292372",
    "registered_office": "Generator Hub The Gallery, Kings Wharf, Exeter, England, EX2 4AN",
    "incorporated": "2021-03-25",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13292372",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13292372",
    "ch_note": null
   },
   "place": {
    "text": "Kings Wharf, Exeter (EX2 4AN; null; null)",
    "postcode": "EX2 4AN",
    "lat": 50.718662,
    "lng": -3.530812,
    "region": "England: South West",
    "admin_district": "Exeter",
    "geocoded": "postcodes.io"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI implementation"
   ],
   "sectors": [
    "engineering",
    "scientific machine learning"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "other",
   "function": "Exeter company that builds AI and machine-learning tools, employing Exeter graduates.",
   "affiliation": "Start-ups",
   "sources": [
    "https://news.exeter.ac.uk/?p=22533",
    "https://find-and-update.company-information.service.gov.uk/search/companies?q=digiLab",
    "https://channellife.co.uk/story/ai-speeds-uk-fusion-tokamak-design-by-100-000-times",
    "https://find-and-update.company-information.service.gov.uk/company/13292372"
   ],
   "source_quotes": [
    {
     "url": "https://news.exeter.ac.uk/?p=22533",
     "quotes": [
      "The Exeter spin-out companies were:",
      "digiLAB, which specialises in AI and machine learning, employing a number of Exeter graduates."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/search/companies?q=digiLab",
     "quotes": [
      "DIGILAB SOLUTIONS LTD",
      "13292372",
      "Incorporated on 25 March 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://channellife.co.uk/story/ai-speeds-uk-fusion-tokamak-design-by-100-000-times",
     "quotes": [
      "The models allow UKAEA to explore reactor designs around 100,000 times faster"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13292372",
     "quotes": [
      "DIGILAB SOLUTIONS LTD | Company number 13292372 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI implementation"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Kings Wharf, Exeter (EX2 4AN; null; null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "spun_out_of",
     "id": "UNI:exeter/EXEAI-129",
     "name": "Universities: exeter/EXEAI-129",
     "page": "universities",
     "href": "https://hazy-wreath-hez6.here.now/exeter/",
     "page_label": "UK Universities AI Universe (new tab)"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SW-604",
   "name": "Mach42 (formerly Machine Discovery)",
   "bucket": "co",
   "status": "renamed",
   "status_date": "2024-03-26",
   "status_detail": "Companies House shows Machine Discovery Limited renamed Mach42 Limited on 26 March 2024; active. Bijan Kiani-Shabestari, named as chief executive in 2023, resigned as a director on 4 June 2026.",
   "one_line": "Oxford University spin-out whose machine-learning software predicts how designs, starting with analogue chips, will behave.",
   "description": "Machine Discovery, a University of Oxford spin-out from the physics department, built a software platform that uses machine learning to predict how designs behave, with analogue semiconductor design as its first commercial use. In September 2023 UKTN reported a £4.5m round led by BGF and East Innovate, said it was headquartered in Oxford with an office in Santa Clara, and named Bijan Kiani as chief executive and Muhammad Kasim and Brett Larder as co-founders. Companies House shows the company, incorporated on 2 May 2019, renamed Mach42 Limited on 26 March 2024; it is active and registered at Oxford Science Park. [Labs Round 8, 31 Oct 2026] news: 2024-09-16 — \"Introducing Mach42\" (rename from Machine Discovery) — https://mach42.ai/resource-IntroducingMach42.html [Labs Round 8, 31 Oct 2026] Listed on Labs (Engineering simulation): Oxford physics spin-out whose neural networks emulate slow simulations, first in chip design",
   "uk_status": "uk",
   "company": {
    "ch_number": "11976635",
    "registered_office": "John Eccles House Robert Robinson Avenue, Oxford Science Park, Oxford, England, OX4 4GP",
    "incorporated": "2 May 2019",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "11976635",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11976635",
    "ch_note": null,
    "legal_name": "MACH42 LIMITED",
    "previous_names": [
     "MACHINE DISCOVERY LIMITED (2019–2024)",
     "MACHINE DISCOVERY LIMITED"
    ],
    "ch_status_r6": "Active",
    "ch_name": "MACH42 LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "72190 Other R&D on natural sciences and engineering"
    ]
   },
   "place": {
    "text": "Oxford (OX4 4GP)",
    "postcode": "OX4 4GP",
    "lat": 51.716527,
    "lng": -1.215652,
    "region": "England: South East",
    "admin_district": "Oxford",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Muhammad Kasim",
     "role": "Co-founder and CSO",
     "from": "as of 2023-09-26",
     "source": "https://www.uktech.news/ai/machine-discovery-simulations-funding-20230926",
     "round4": true
    },
    {
     "name": "Brett Larder",
     "role": "Co-founder and CTO",
     "from": "as of 2023-09-26",
     "source": "https://www.uktech.news/ai/machine-discovery-simulations-funding-20230926",
     "round4": true
    },
    {
     "name": "Bijan Kiani",
     "role": "CEO",
     "from": "as of 2023-09-26",
     "source": "https://www.uktech.news/ai/machine-discovery-simulations-funding-20230926",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 4500000,
     "currency": "GBP",
     "date": "2023-09-26",
     "detail": "led by BGF and East Innovate (single source)",
     "raw": "funding_round: 4500000 GBP 2023-09-26 — led by BGF and East Innovate (single source)",
     "amount_gbp": 4500000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£4.5m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI implementation"
   ],
   "sectors": [
    "semiconductor design",
    "engineering simulation"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "semiconductor design",
   "function": "Oxford University spin-out whose machine-learning software predicts how designs, starting with analogue chips, will behave.",
   "affiliation": "Software and tools",
   "sources": [
    "https://www.uktech.news/ai/machine-discovery-simulations-funding-20230926",
    "https://find-and-update.company-information.service.gov.uk/company/11976635",
    "https://find-and-update.company-information.service.gov.uk/company/11976635/officers",
    "https://mach42.ai/resource-IntroducingMach42.html"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/machine-discovery-simulations-funding-20230926",
     "quotes": [
      "using machine learning to simulate designs for technologies such as semiconductors",
      "A University of Oxford spinout",
      "has secured £4.5m in funding"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11976635",
     "quotes": [
      "MACH42 LIMITED\" \"Active\" \"2 May 2019\" \"MACHINE DISCOVERY LIMITED\", \"02 May 2019 - 26 Mar 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/11976635/officers",
     "quotes": [
      "KIANI-SHABESTARI, Bijan, Dr Role Resigned Director Appointed on 18 January 2021 Resigned on 4 June 2026"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://mach42.ai/resource-IntroducingMach42.html",
     "quotes": [
      "using the opportunity to reflect our vision and goals accurately by changing our name"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI implementation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Oxford (OX4 4GP)",
   "status_group": "renamed",
   "ext_links": [],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Oxford"
    },
    {
     "kind": "funded_by",
     "name": "BGF"
    },
    {
     "kind": "funded_by",
     "name": "East Innovate"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Software and tools"
  },
  {
   "id": "BIZ-SW-605",
   "name": "Stanhope AI",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Companies House lists Stanhope AI Ltd as active (checked 29 October 2026).",
   "one_line": "UCL spin-out building AI that makes decisions on its own, modelled on how the brain works.",
   "description": "Stanhope AI, a spin-out of University College London, is building agentic AI based on neuroscience principles, aiming for systems that make decisions with limited human supervision. In March 2024 UKTN reported a £2.3m seed round led by the UCL Technology Fund, with Creator Fund, MMC Ventures, Moonfire Ventures and Rockmount Capital, and named Professor Rosalyn Moran as chief executive and co-founder. Companies House lists Stanhope AI Ltd, incorporated on 16 March 2021, as active, with Dr Rosalyn Jackie Moran a director since incorporation. [Round 4, 30 Oct 2026] links: portfolio_of: MMC Ventures (sector \"Enterprise AI\"; no description on the page) [Labs Round 8, 31 Oct 2026] Listed on Labs (Neuroscience): builds its own AI models from active inference and the Free Energy Principle; co-founded by computational neuroscientist Rosalyn Moran and neurobiologist Karl Friston; UCL and King's College London spin-out [Labs Round 8, 31 Oct 2026] Listed on Labs (Decision AI): models that decide and adapt in real time for autonomous drones and robots (\"Real World Model\", product BIZ-LAB-10011)",
   "uk_status": "uk",
   "company": {
    "ch_number": "13271847",
    "registered_office": "34-37 Gertrude Street, London, England, SW10 0JG",
    "incorporated": "16 March 2021",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13271847",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13271847",
    "ch_note": null,
    "legal_name": "STANHOPE AI LTD",
    "ch_status_r6": "Active",
    "ch_name": "STANHOPE AI LTD",
    "status_registry": "Active",
    "sic_codes": [
     "58290 Software publishing"
    ]
   },
   "place": {
    "text": "London (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Rosalyn Moran",
     "role": "co-founder and chief executive; director from 2021-03-16",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/13271847/officers"
    },
    {
     "name": "Rosalyn Moran",
     "role": "CEO and co-founder (computational neuroscientist)",
     "from": null,
     "source": "https://www.paladincapgroup.com/stanhope-ai-raises-8m-as-real-world-ai-model-gains-momentum-beyond-llms/",
     "round4": true
    },
    {
     "name": "Karl Friston",
     "role": "Co-founder (theoretical neurobiologist, UCL Institute of Neurology)",
     "from": null,
     "source": "https://www.paladincapgroup.com/stanhope-ai-raises-8m-as-real-world-ai-model-gains-momentum-beyond-llms/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 2300000,
     "currency": "GBP",
     "date": "2024-03-20",
     "detail": "seed led by UCL Technology Fund (single source)",
     "raw": "funding_round: 2300000 GBP 2024-03-20 — seed led by UCL Technology Fund (single source)",
     "amount_gbp": 2300000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£2.3m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Autonomous and agent systems",
    "AI development and training"
   ],
   "sectors": [
    "agents and automation",
    "agentic AI",
    "neuroscience-based AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": "BIZ-SU-OTH-729",
   "package1_id": null,
   "type": "Companies",
   "category": "agents and automation",
   "function": "UCL spin-out building AI that makes decisions on its own, modelled on how the brain works.",
   "affiliation": "Software and tools",
   "sources": [
    "https://www.uktech.news/ai/stanhope-funding-ai-human-brains-20240320",
    "https://find-and-update.company-information.service.gov.uk/company/13271847",
    "https://find-and-update.company-information.service.gov.uk/company/13271847/officers",
    "https://mmc.vc/portfolio/",
    "https://www.paladincapgroup.com/stanhope-ai-raises-8m-as-real-world-ai-model-gains-momentum-beyond-llms/",
    "https://www.siliconrepublic.com/start-ups/stanhope-ai-co-founded-irish-woman-raises-8m-funding-investment"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/stanhope-funding-ai-human-brains-20240320",
     "quotes": [
      "a London-based startup aiming to apply neuroscience principles to create human-like artificial intelligence",
      "Founded as a spinout of University College London (UCL)"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13271847",
     "quotes": [
      "STANHOPE AI LTD\" \"Active\" \"16 March 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13271847/officers",
     "quotes": [
      "MORAN, Rosalyn Jackie, Dr\" Director, \"Appointed on\" \"16 March 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://mmc.vc/portfolio/",
     "quotes": [
      "Stanhope AI",
      "Enterprise AI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.paladincapgroup.com/stanhope-ai-raises-8m-as-real-world-ai-model-gains-momentum-beyond-llms/",
     "quotes": [
      "We're moving from language-based AI to intelligence that possesses the ability to act to understand its world\"; also https://www.siliconrepublic.com/start-ups/stanhope-ai-co-founded-irish-woman-raises-8m-funding-investment (trade)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.siliconrepublic.com/start-ups/stanhope-ai-co-founded-irish-woman-raises-8m-funding-investment",
     "quotes": [
      "Our approach doesn't just process words, it understands context, uncertainty and physical reality."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "neuroscience",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-043",
     "name": "UCL Technology Fund",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-043",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-032",
     "name": "MMC Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-032",
     "page_label": "Investors"
    },
    {
     "kind": "same_as",
     "id": "BIZ-SU-OTH-729",
     "name": "Stanhope AI",
     "page": "startups",
     "href": "../startups/#org=BIZ-SU-OTH-729",
     "page_label": "Start-ups"
    },
    {
     "kind": "portfolio_of",
     "id": "BIZ-INV-032",
     "name": "MMC Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-032",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: funded_by",
     "id": "BIZ-INV-032",
     "name": "MMC Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-032",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University College London"
    },
    {
     "kind": "funded_by",
     "name": "Creator Fund"
    },
    {
     "kind": "founded_by",
     "name": "Rosalyn Moran"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Software and tools"
  },
  {
   "id": "BIZ-SU-LEG-602",
   "name": "Safe Sign Technologies",
   "bucket": "co",
   "status": "dissolved",
   "status_date": "2025-12-23",
   "status_detail": "Bought by Thomson Reuters (reported 22 August 2024; Thomson Reuters (Professional) UK Limited became controlling shareholder on 12 August 2024); the company was dissolved on 23 December 2025.",
   "one_line": "Cambridge start-up that trained AI language models to give legal advice; bought by Thomson Reuters in 2024.",
   "description": "Safe Sign Technologies, founded in 2022 in Cambridge, trained large language models for the legal sector. On 22 August 2024 UKTN reported that Thomson Reuters had acquired it for an undisclosed sum, naming co-founders Alexander Kardos-Nyheim and Dr Jonathan Schwarz. Companies House shows Safe Sign Technologies Limited, incorporated on 15 February 2022, with Thomson Reuters (Professional) UK Limited as person with significant control from 12 August 2024 (replacing Alexander Samuel Kardos-Nyheim), and dissolved on 23 December 2025 at Thomson Reuters' Canary Wharf address. [Labs Round 7, 30 Oct 2026] status_change: Now part of TR Labs Foundational Research at Thomson Reuters (BIZ-LAB-6004); co-founder Jonathan Schwarz is Head of Foundational Research; team grew from 15 to 50 people (12 Dec 2025) [Labs Round 7, 30 Oct 2026] Listed on Labs (Corporate research labs) [Labs Round 8, 31 Oct 2026] status_now: Absorbed into one integrated research organisation within TR Labs, now called Foundational Research (2025-12-12); acquired 2024 as TR's first pre-revenue acquisition [Labs Round 8, 31 Oct 2026] founders: Dr Jonathan Schwarz — co-founder; Alexander Kardos-Nyheim — former Founder & CEO",
   "uk_status": "uk",
   "company": {
    "ch_number": "13916044",
    "registered_office": "Five Canada Square, Canary Wharf, London, England, E14 5AQ",
    "incorporated": "2022-02-15",
    "legal_form": "ltd",
    "owner_or_acquirer": "Thomson Reuters (Professional) UK Limited (from 2024-08-12)",
    "headcount": null,
    "ch_number_clean": "13916044",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13916044",
    "ch_note": null
   },
   "place": {
    "text": "Cambridge (null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Alexander Kardos-Nyheim",
     "role": "Co-founder",
     "from": "2022",
     "source": "https://www.uktech.news/ai/thomson-reuters-acquires-uk-ai-startup-20240822",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Natural language applications",
    "AI development and training"
   ],
   "sectors": [
    "legal services"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "legal",
   "function": "Cambridge start-up that trained AI language models to give legal advice; bought by Thomson Reuters in 2024.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/thomson-reuters-acquires-uk-ai-startup-20240822",
    "https://find-and-update.company-information.service.gov.uk/company/13916044",
    "https://find-and-update.company-information.service.gov.uk/company/13916044/persons-with-significant-control",
    "https://www.thomsonreuters.com/en-us/posts/innovation/from-startup-vision-to-ai-breakthrough-one-year-with-safe-sign/",
    "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/thomson-reuters-acquires-uk-ai-startup-20240822",
     "quotes": [
      "Founded in 2022, Safe Sign Technologies is training AI models to provide legal advice.",
      "The companies did not disclose the acquisition cost."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13916044",
     "quotes": [
      "SAFE SIGN TECHNOLOGIES LIMITED\" \"Dissolved\" \"23 December 2025\" \"15 February 2022"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13916044/persons-with-significant-control",
     "quotes": [
      "Thomson Reuters (Professional) Uk Limited\" \"Notified on\" \"12 August 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/from-startup-vision-to-ai-breakthrough-one-year-with-safe-sign/",
     "quotes": [
      "co-founder of Safe Sign and now Head of Foundational Research within TR Labs"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/",
     "quotes": [
      "former Founder & CEO of Safe Sign Technologies, acquired by Thomson Reuters"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Natural language applications",
    "AI development and training"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Cambridge (null)",
   "status_group": "dissolved",
   "ext_links": [],
   "label_links": [
    {
     "kind": "acquired_by",
     "name": "Thomson Reuters"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-IND-611",
   "name": "Imperagen",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Raised a £5m seed round for AI-driven enzyme engineering, per tech.eu's recap of 25 May 2026; Companies House lists Imperagen Limited as active. Companies House shows IMPERAGEN LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Manchester company using AI to engineer enzymes for industrial use.",
   "description": "tech.eu's weekly recap of 25 May 2026 listed \"UK: Imperagen raises £5M seed round to accelerate AI-driven enzyme engineering\", without naming investors or a city. Companies House lists Imperagen Limited, incorporated on 23 November 2021, as active, registered at Manchester Science Park with a biotechnology research SIC code. The match rests on the unique name. [Round 4, 30 Oct 2026] LABS: Closed-loop enzyme engineering: quantum simulations train AI models, robots test top predictions, results feed back into the models. [Labs Round 7, 30 Oct 2026] rounds: £5m seed (2026-05-21) led by PXN Ventures with existing IQ Capital and Northern Gritstone [Labs Round 7, 30 Oct 2026] models_released: Quantum-physics simulation of millions of mutation combinations trains problem-specific AI models; robots test top predictions in a closed loop; founded 2021 by Manchester Institute of Biotechnology researchers; chief executive Guy Levy-Yurista [Labs Round 7, 30 Oct 2026] key_results: Reports productivity gains of 677x and 572x for two enzymes over five rounds; unnamed Fortune 500 personal-care company is a project partner; new chief executive Guy Levy-Yurista joined with the 2026 round [Labs Round 8, 31 Oct 2026] founded: 2021, by researchers from the Manchester Institute of Biotechnology [Labs Round 8, 31 Oct 2026] what_it_does: Closed loop: quantum-physics simulation of millions of mutations trains problem-specific AI models; robots test top predictions; results fed back [Labs Round 8, 31 Oct 2026] chief_executive: Guy Levy-Yurista — CEO",
   "uk_status": "uk",
   "company": {
    "ch_number": "13761050",
    "registered_office": "Unit 11, Williams House Lloyd Street North, Manchester Science Park, Manchester, England, M15 6SE",
    "incorporated": "2021-11-23",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13761050",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13761050",
    "ch_note": null
   },
   "place": {
    "text": "Manchester (M15 6SE)",
    "postcode": "M15 6SE",
    "lat": 53.46303,
    "lng": -2.236012,
    "region": "England: North West",
    "admin_district": "Manchester",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Guy Levy-Yurista",
     "role": "CEO",
     "from": "2026",
     "source": "https://tech.eu/2026/05/21/imperagen-raises-ps5m-seed-round-to-accelerate-ai-driven-enzyme-engineering/",
     "round4": true
    },
    {
     "name": "Guy Levy-Yurista",
     "role": "chief executive",
     "from": "2026-05-21 (joined with seed round)",
     "source": "https://tech.eu/2026/05/21/imperagen-raises-ps5m-seed-round-to-accelerate-ai-driven-enzyme-engineering/",
     "round4": true
    },
    {
     "name": "Guy Levy-Yurista",
     "role": "CEO",
     "from": "as of 2026-05-21",
     "source": "https://www.uktech.news/biotech/imperagen-raises-5m-to-accelerate-enzyme-engineering-20260521",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 5000000,
     "currency": "GBP",
     "date": "2026-05",
     "detail": "seed, per tech.eu recap of 2026-05-25 (single source)",
     "raw": "funding_round: 5000000 GBP 2026-05 — seed, per tech.eu recap of 2026-05-25 (single source)",
     "amount_gbp": 5000000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£5m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation"
   ],
   "sectors": [
    "industrial biotechnology",
    "enzymes"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "industry",
   "function": "Manchester company using AI to engineer enzymes for industrial use.",
   "affiliation": "Start-ups",
   "sources": [
    "https://tech.eu/2026/05/25/european-tech-weekly-recap-over-eur11b-invested-across-65-deals/",
    "https://find-and-update.company-information.service.gov.uk/company/13761050",
    "https://tech.eu/2026/05/21/imperagen-raises-ps5m-seed-round-to-accelerate-ai-driven-enzyme-engineering/",
    "https://www.uktech.news/biotech/imperagen-raises-5m-to-accelerate-enzyme-engineering-20260521",
    "https://www.uktech.news/funding/uk-tech-funding-roundup-this-weeks-deals-from-primer-to-tympahealth-20260522"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/05/25/european-tech-weekly-recap-over-eur11b-invested-across-65-deals/",
     "quotes": [
      "UK: Imperagen raises £5M seed round to accelerate AI-driven enzyme engineering"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13761050",
     "quotes": [
      "IMPERAGEN LIMITED\" \"Active\" \"23 November 2021\" \"72110 - Research and experimental development on biotechnology"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/05/21/imperagen-raises-ps5m-seed-round-to-accelerate-ai-driven-enzyme-engineering/",
     "quotes": [
      "a recursive, self-improving AI platform to help rewrite chemical reactions"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/biotech/imperagen-raises-5m-to-accelerate-enzyme-engineering-20260521",
     "quotes": [
      "has closed a £5m seed funding round."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/funding/uk-tech-funding-roundup-this-weeks-deals-from-primer-to-tympahealth-20260522",
     "quotes": [
      "(trade) — \"combines quantum simulation, custom AI models, and robotic laboratory automation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "Manchester (M15 6SE)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2143",
     "name": "IQ Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2143",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2143",
     "name": "IQ Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2143",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2207",
     "name": "PXN Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2207",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2207",
     "name": "PXN Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2207",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-051",
     "name": "Northern Gritstone",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-051",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-051",
     "name": "Northern Gritstone",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-051",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "alumni_of",
     "name": "Manchester Institute of Biotechnology (founders)"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-702",
   "name": "Nucleome Therapeutics",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Companies House shows Nucleome Therapeutics Limited active on 29 October 2026; co-founder Danuta Jeziorska resigned as a director on 19 April 2024.",
   "one_line": "Oxford biotech using machine learning on the non-coding genome to find new medicines.",
   "description": "University of Oxford spin-out that uses machine learning to predict disease-linked genetic variants in the non-coding \"dark genome\" and turn them into drug targets. UKTN reported a £37.5 million Series A in October 2022 led by M Ventures, with Johnson & Johnson, Pfizer Ventures, British Patient Capital and Oxford Science Enterprises. Dr Danuta Jeziorska was then chief executive and co-founder; Companies House shows she resigned as a director on 19 April 2024. The company is active with its registered office on Botley Road, Oxford. [Labs Round 8, 31 Oct 2026] Listed on Labs (Biology): Oxford spin-out using machine learning to find disease-linked variants in the non-coding (\"dark\") genome",
   "uk_status": "uk",
   "company": {
    "ch_number": "12109297",
    "registered_office": "Nucleome Therapeutics Limited, Inventa, Botley Road, Oxford, United Kingdom, OX2 0HA",
    "incorporated": "2019-07-17",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "12109297",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/12109297",
    "ch_note": null
   },
   "place": {
    "text": "Oxford (OX2 0HA; lat/lng null)",
    "postcode": "OX2 0HA",
    "lat": 51.751766,
    "lng": -1.286562,
    "region": "England: South East",
    "admin_district": "Oxford",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Danuta Jeziorska",
     "role": "co-founder and chief executive (2022); director 2019-08-02 to 2024-04-19",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/12109297/officers"
    },
    {
     "name": "Danuta Jeziorska",
     "role": "CEO and co-founder",
     "from": "as of 2022-10-20",
     "source": "https://www.uktech.news/ai/nucleome-therapeutics-series-a-20221020",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 37500000,
     "currency": "GBP",
     "date": "2022-10-20",
     "detail": "Series A led by M Ventures (single source)",
     "raw": "funding_round: 37500000 GBP 2022-10-20 — Series A led by M Ventures (single source)",
     "amount_gbp": 37500000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£37.5m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation"
   ],
   "sectors": [
    "health",
    "drug discovery",
    "genomics"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Oxford biotech using machine learning on the non-coding genome to find new medicines.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/nucleome-therapeutics-series-a-20221020",
    "https://find-and-update.company-information.service.gov.uk/company/12109297",
    "https://find-and-update.company-information.service.gov.uk/company/12109297/officers"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/nucleome-therapeutics-series-a-20221020",
     "quotes": [
      "machine learning to predict disease-linked genetic variants",
      "has raised £37.5m in an oversubscribed Series A round"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/12109297",
     "quotes": [
      "NUCLEOME THERAPEUTICS LIMITED",
      "Active",
      "Incorporated on 17 July 2019"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/12109297/officers",
     "quotes": [
      "DANUTA MARIOLA JEZIORSKA, Dr",
      "Resigned on 19 April 2024"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Oxford (OX2 0HA; lat/lng null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-003",
     "name": "British Patient Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-003",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-007",
     "name": "Oxford Science Enterprises",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-007",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Oxford"
    },
    {
     "kind": "funded_by",
     "name": "M Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Pfizer Ventures"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-IND-705",
   "name": "MatNex (Materials Nexus)",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Companies House shows Materials Nexus Limited active on 29 October 2026.",
   "one_line": "Machine-learning and quantum-mechanics software that predicts how new material compositions will perform, to cut lab experiments.",
   "description": "Cambridge spin-out building on University of Cambridge physics research. It has created datasets and machine-learning tools that forecast how new compositions of materials will perform, reducing physical experiments. UKTN reported a £2 million round in July 2023 led by Ada Ventures, with High-Tech Gründerfonds and the University of Cambridge. Dr Jonathan Bean is founder and chief executive, and a director since December 2020. [Round 4, 30 Oct 2026] programme: DfT T-TRIG 2021 project participant (no AI use stated in that project) [Labs Round 7, 30 Oct 2026] Listed on Labs (Materials science): Cambridge AI and quantum-mechanics spin-out building datasets and machine-learning tools to forecast how new materials will perform; founder and chief executive Jonathan Bean; £2m 2023 already on site (DEAL-LB-090) [Labs Round 8, 31 Oct 2026] what_it_does: Cambridge AI and quantum-mechanics spin-out building datasets and machine-learning tools that predict how new material compositions will perform [Labs Round 8, 31 Oct 2026] founders: Jonathan Bean — founder and CEO; theoretical physicist, University of Cambridge [Labs Round 8, 31 Oct 2026] status_now: materialsnexus.com now redirects (302) to matnex.ai, which brands the company \"MatNex\"; current focus rare-earth-free magnets, with fluids, semiconductors, batteries and superconductors named as later areas — possible rename, lead to verify",
   "uk_status": "uk",
   "company": {
    "ch_number": "13057449",
    "registered_office": "Salisbury House, Station Road, Cambridge, Cambridgeshire, United Kingdom, CB1 2LA",
    "incorporated": "2 December 2020",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13057449",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13057449",
    "ch_note": null,
    "ch_name": "MATERIALS NEXUS LIMITED",
    "legal_name": "MATERIALS NEXUS LIMITED",
    "status_registry": "Active",
    "sic_codes": [
     "72190 Other R&D on natural sciences and engineering"
    ]
   },
   "place": {
    "text": "Cambridge (CB1 2LA; lat/lng null)",
    "postcode": "CB1 2LA",
    "lat": 52.194995,
    "lng": 0.134061,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Jonathan Bean",
     "role": "founder and chief executive (2023); director since 2020-12-02",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/13057449/officers"
    },
    {
     "name": "Jonathan Bean",
     "role": "founder and chief executive",
     "from": null,
     "source": "https://www.uktech.news/ai/materials-nexus-2m-funding-20230726",
     "round4": true
    },
    {
     "name": "Jonathan Bean",
     "role": "Founder and CEO",
     "from": "as of 2023-07-26",
     "source": "https://www.uktech.news/ai/materials-nexus-2m-funding-20230726",
     "round4": true
    },
    {
     "name": "Robert Forrest",
     "role": "CTO and co-founder",
     "from": null,
     "source": "https://www.matnex.ai/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 2000000,
     "currency": "GBP",
     "date": "2023-07-26",
     "detail": "led by Ada Ventures (single source)",
     "raw": "funding_round: 2000000 GBP 2023-07-26 — led by Ada Ventures (single source)",
     "amount_gbp": 2000000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£2m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation"
   ],
   "sectors": [
    "materials science"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "industry",
   "function": "Machine-learning and quantum-mechanics software that predicts how new material compositions will perform, to cut lab experiments.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/materials-nexus-2m-funding-20230726",
    "https://find-and-update.company-information.service.gov.uk/company/13057449",
    "https://find-and-update.company-information.service.gov.uk/company/13057449/officers",
    "https://assets.publishing.service.gov.uk/media/64bf8d179c2df0000d94035b/transport-trig-2021-project-outcomes.pdf",
    "https://matnex.ai/",
    "https://matnex.ai/news/matnex-and-viridien-partner-to-accelerate-ai-powered-materials-discovery",
    "https://matnex.ai/news",
    "https://www.matnex.ai/",
    "https://arxiv.org/abs/2604.08143"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/materials-nexus-2m-funding-20230726",
     "quotes": [
      "The spinout has created datasets and machine learning tools that can forecast how new compositions of materials will perform."
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13057449",
     "quotes": [
      "MATERIALS NEXUS LIMITED",
      "Active",
      "Incorporated on 2 December 2020"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13057449/officers",
     "quotes": [
      "BEAN, Jonathan Joseph, Dr.",
      "Director",
      "2 December 2020"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://assets.publishing.service.gov.uk/media/64bf8d179c2df0000d94035b/transport-trig-2021-project-outcomes.pdf",
     "quotes": [
      "Materials Nexus"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://matnex.ai/",
     "quotes": [
      "the first expression of the platform, not the limit."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://matnex.ai/news/matnex-and-viridien-partner-to-accelerate-ai-powered-materials-discovery",
     "quotes": [
      "MatNex and Viridien are partnering to rapidly scale computational capacity"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://matnex.ai/news",
     "quotes": [
      "UKAEA awarded MatNex a contract for project SHINE"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.matnex.ai/",
     "quotes": [
      "The next industrial era will be designed, not discovered."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/abs/2604.08143",
     "quotes": [
      "The model learns physically consistent and transferable representations of magnetic behaviour"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge (CB1 2LA; lat/lng null)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Cambridge"
    },
    {
     "kind": "funded_by",
     "name": "Ada Ventures"
    },
    {
     "kind": "funded_by",
     "name": "High-Tech Gründerfonds"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-704",
   "name": "CellVoyant",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Companies House shows CellVoyant Technologies Limited active on 29 October 2026.",
   "one_line": "Imaging and AI that predict how living stem cells will behave, to help make cell therapies.",
   "description": "University of Bristol spin-out, founded in 2021, whose imaging technology uses AI to predict the behaviour of live stem cells and how mixed cell populations will evolve. UKTN reported £7.6 million of seed funding in January 2024 led by Octopus Ventures, with Horizons Ventures, Verve Ventures and Air Street Capital. Dr Rafael Carazo Salas is founder and chief executive, and a director since August 2021. [Labs Round 8, 31 Oct 2026] Listed on Labs (Biology): Bristol spin-out (2021) whose AI predicts the behaviour of live stem cells from imaging",
   "uk_status": "uk",
   "company": {
    "ch_number": "13594965",
    "registered_office": "C/O Origin Workspace, 40 Berkeley Square, Bristol, United Kingdom, BS8 1HP",
    "incorporated": "2021-08-31",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "13594965",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13594965",
    "ch_note": null
   },
   "place": {
    "text": "Bristol (BS8 1HP; lat/lng null)",
    "postcode": "BS8 1HP",
    "lat": 51.455528,
    "lng": -2.605448,
    "region": "England: South West",
    "admin_district": "Bristol, City of",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Rafael Carazo Salas",
     "role": "founder and chief executive (2024); director since 2021-08-31",
     "from": null,
     "source": "https://find-and-update.company-information.service.gov.uk/company/13594965/officers"
    },
    {
     "name": "Rafael Carazo Salas",
     "role": "CEO and founder",
     "from": "2021",
     "source": "https://www.uktech.news/tech-hubs/south-west/bristol/bristol-biotech-cellvoyant-funding-20240116",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 7600000,
     "currency": "GBP",
     "date": "2024-01-16",
     "detail": "seed led by Octopus Ventures (single source)",
     "raw": "funding_round: 7600000 GBP 2024-01-16 — seed led by Octopus Ventures (single source)",
     "amount_gbp": 7600000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£7.6m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Perceptual systems",
    "Knowledge generation"
   ],
   "sectors": [
    "health",
    "cell therapy",
    "biotechnology"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Imaging and AI that predict how living stem cells will behave, to help make cell therapies.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/tech-hubs/south-west/bristol/bristol-biotech-cellvoyant-funding-20240116",
    "https://find-and-update.company-information.service.gov.uk/company/13594965",
    "https://find-and-update.company-information.service.gov.uk/company/13594965/officers"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/tech-hubs/south-west/bristol/bristol-biotech-cellvoyant-funding-20240116",
     "quotes": [
      "imaging technology that uses AI to predict the behaviour of live stem cells"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13594965",
     "quotes": [
      "CELLVOYANT TECHNOLOGIES LIMITED",
      "Active",
      "Incorporated on 31 August 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/13594965/officers",
     "quotes": [
      "CARAZO SALAS, Rafael Edgardo, Dr",
      "Director",
      "31 August 2021"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Perceptual systems",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Bristol (BS8 1HP; lat/lng null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-201",
     "name": "Octopus Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-201",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-009",
     "name": "Air Street Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-009",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Bristol"
    },
    {
     "kind": "funded_by",
     "name": "Horizons Ventures"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-CRE-704",
   "name": "Exactly.ai",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Status as of May 2024 only (UKTN); no matching Companies House company was found.",
   "one_line": "Lets illustrators and artists train generative image models on their own work.",
   "description": "London start-up that allows artists to create generative AI models based on their own work. UKTN reported a £3.4 million seed round in May 2024 led by Speedinvest, with InReach Ventures, Cornerstone VC and GuruDev Capital, naming Tonia Samsonova as founder and chief executive. A Companies House search for \"exactly ai\" returned no company that could be linked to it. [Labs Round 8, 31 Oct 2026] Listed on Labs (Generative image): reason: London platform on which artists train their own image-generation models on consented work",
   "uk_status": "uk",
   "company": {
    "ch_number": null,
    "registered_office": null,
    "incorporated": null,
    "legal_form": null,
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": null,
    "companies_house_url": null,
    "ch_note": null
   },
   "place": {
    "text": "London (lat/lng null)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Tonia Samsonova",
     "role": "founder and chief executive (2024)",
     "from": null,
     "source": "https://www.uktech.news/ai/ai-art-exactly-ai-funding-20240531"
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 3400000,
     "currency": "GBP",
     "date": "2024-05-31",
     "detail": "seed led by Speedinvest (single source)",
     "raw": "funding_round: 3400000 GBP 2024-05-31 — seed led by Speedinvest (single source)",
     "amount_gbp": 3400000,
     "fx_rate": 1.0,
     "fx_source": "as published (GBP)",
     "fx_note": "",
     "txt": "£3.4m",
     "gbp_txt": ""
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Knowledge generation",
    "AI development and training"
   ],
   "sectors": [
    "art",
    "illustration",
    "creative industries"
   ],
   "confidence": "single_source",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "creative",
   "function": "Lets illustrators and artists train generative image models on their own work.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/ai-art-exactly-ai-funding-20240531"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/ai-art-exactly-ai-funding-20240531",
     "quotes": [
      "allows artists to create generative AI models based on their own work",
      "Exactly.ai founder and CEO Tonia Samsonova"
     ],
     "accessed": "2026-10-29",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Knowledge generation",
    "AI development and training"
   ],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (lat/lng null)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Speedinvest"
    },
    {
     "kind": "funded_by",
     "name": "InReach Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Cornerstone VC"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-OTH-804",
   "name": "InstaDeep",
   "bucket": "co",
   "status": "acquired",
   "status_date": "2023-07-31",
   "status_detail": "BioNTech SE became the person with significant control (75% or more) on 31 July 2023, per Companies House; the company remains active.",
   "one_line": "Builds AI decision-making software for companies, including protein design and circuit-board design tools; owned by BioNTech.",
   "description": "InstaDeep was founded in North Africa in 2014 by Karim Beguir and Zohra Slim and is headquartered in London. It sells AI decision-making tools, including DeepChain for protein design and DeepPCB for circuit-board design. UKTN reported a $100m Series B in January 2022, led by Alpha Intelligence Capital and CDIB, with BioNTech, Google and DB Digital Ventures. Companies House shows BioNTech SE holding 75% or more from 31 July 2023; Beguir and Slim remain directors. Acquisition price not read in this pass. [Labs Round 7, 30 Oct 2026] Listed on Labs (Biology): London-HQ AI company owned by BioNTech since 2023 (£562m deal already on site, DEAL-LB-051; 240 staff joined BioNTech); GOV.UK names a Genomics England collaboration using InstaDeep's AI models; uk_status foreign_with_uk_base [Labs Round 8, 31 Oct 2026] models_released: NTv3 (2026-02-18), SegmentNT (Nature Methods; 2025-10-29), MOJO (ICML 2026), InstaNovo and InstaNovo-P, AbBFN2 — see new product records BIZ-LAB-12012 to 12016 [Labs Round 8, 31 Oct 2026] compute: Kyber supercomputer: ~500 PetaFLOPS of NVIDIA H100 GPUs and more than 80,000 CPU cores (2025-10-13) [Labs Round 8, 31 Oct 2026] awards: Nucleotide Transformer: more than one million downloads and over 500 citations (2025-10-13) [Labs Round 8, 31 Oct 2026] chief_executive: Karim Beguir — CEO and co-founder [Labs Round 8, 31 Oct 2026] news: 2025-10-13 — BioNTech AI Day at the Science Museum, London: InstaDeep presented Kyber, AIchor, MLIP library, NTv3, AbBFN2, InstaNovo — https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/ [Labs Round 8, 31 Oct 2026] models_released: Products: DeepChain, DeepPack, DeepPCB, AIchor; models and research systems: NTv3, SegmentNT, MOJO, InstaNovo-P (Nature Communications 2026), InstaNexus (MCP 2026), protein Bayesian Flow Network (Nature Communications 2025), GeoGraph (NeurIPS 2025 workshop), Oryx, MEMENTO, DEgym",
   "uk_status": "uk",
   "company": {
    "ch_number": "09816291",
    "registered_office": "1 Triton Square, London, England, NW1 3BF",
    "incorporated": "2015-10-08",
    "legal_form": "ltd",
    "owner_or_acquirer": "BioNTech SE",
    "headcount": null,
    "ch_number_clean": "09816291",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/09816291",
    "ch_note": null
   },
   "place": {
    "text": "London (NW1 3BF; null; null)",
    "postcode": "NW1 3BF",
    "lat": 51.524907,
    "lng": -0.142319,
    "region": "England: London",
    "admin_district": "Camden",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Karim Beguir",
     "role": "co-founder and chief executive; director since 2015-10-08",
     "from": null,
     "source": "https://www.uktech.news/ai/instadeep-funding-series-b-20220125"
    },
    {
     "name": "Zohra Slim",
     "role": "co-founder; director since 2017-08-30",
     "from": null,
     "source": "https://www.uktech.news/ai/instadeep-funding-series-b-20220125"
    },
    {
     "name": "Karim Beguir",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://www.instadeep.com/",
     "round4": true
    },
    {
     "name": "Zohra Slim",
     "role": "co-founder",
     "from": "2014-04",
     "source": "https://instadeep.com/about-us/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 100000000,
     "currency": "USD",
     "date": "2022-01",
     "detail": "Series B led by Alpha Intelligence Capital and CDIB",
     "raw": "funding_round: 100000000 USD 2022-01 — Series B led by Alpha Intelligence Capital and CDIB",
     "amount_gbp": 74200490,
     "fx_rate": 1.3477,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3477 per £ on 2021-12-31",
     "fx_date": "2021-12-31",
     "fx_note": "month only given: rate for the 1st",
     "txt": "US$100m",
     "gbp_txt": "£74.2m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Knowledge generation"
   ],
   "sectors": [
    "enterprise AI",
    "biotechnology",
    "electronics design"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "other",
   "function": "Builds AI decision-making software for companies, including protein design and circuit-board design tools; owned by BioNTech.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/instadeep-funding-series-b-20220125",
    "https://find-and-update.company-information.service.gov.uk/company/09816291",
    "https://find-and-update.company-information.service.gov.uk/company/09816291/persons-with-significant-control",
    "https://find-and-update.company-information.service.gov.uk/company/09816291/officers",
    "https://www.gov.uk/government/publications/ai-champions-ai-adoption-plans/ai-adoption-plan-life-sciences",
    "https://instadeep.com/",
    "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/",
    "https://www.instadeep.com/",
    "https://instadeep.com/about-us/",
    "https://tech.eu/2023/01/10/biontech-to-acquire-instadeep-in-ps562-million-deal/",
    "https://instadeep.com/news/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/instadeep-funding-series-b-20220125",
     "quotes": [
      "InstaDeep, a London-based startup that provides AI decision-making tools for enterprises,",
      "has raised $100m ($£74m) in a Series B funding round."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/09816291",
     "quotes": [
      "INSTADEEP LTD",
      "Active",
      "Incorporated on 8 October 2015",
      "62090 - Other information technology service activities"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/09816291/persons-with-significant-control",
     "quotes": [
      "Biontech Se",
      "Notified on 31 July 2023",
      "Ownership of shares – 75% or more"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/09816291/officers",
     "quotes": [
      "BEGUIR, Karim",
      "Director",
      "8 October 2015",
      "SLIM, Zohra",
      "Director",
      "30 August 2017"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/publications/ai-champions-ai-adoption-plans/ai-adoption-plan-life-sciences",
     "quotes": [
      "Genomics England have also established a collaboration combining the NGRL with InstaDeep's AI models\" ; https://www.uktech.news/ai/instadeep-bought-biontech-20230111 (trade) — \"AI is progressing exponentially"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://instadeep.com/",
     "quotes": [
      "moving the field from simply reading genes to engineering them."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/",
     "quotes": [
      "With ~500 PetaFLOPS of Nvidia H100 GPUs and more than 80,000 CPU cores"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.instadeep.com/",
     "quotes": [
      "Nucleotide Transformer v3 (NTv3)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://instadeep.com/about-us/",
     "quotes": [
      "Our recent acquisition by BioNTech has further solidified our commitment to leading the industry."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2023/01/10/biontech-to-acquire-instadeep-in-ps562-million-deal/",
     "quotes": [
      "(trade) — \"The acquisition of InstaDeep allows us to incorporate the rapidly evolving AI capabilities of the digital world"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://instadeep.com/news/",
     "quotes": [
      "The two pioneering companies are now working on systematically integrating water technology and AI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (NW1 3BF; null; null)",
   "status_group": "acquired",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-011",
     "name": "Google (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-011",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [
    {
     "kind": "acquired_by",
     "name": "BioNTech SE"
    },
    {
     "kind": "funded_by",
     "name": "Alpha Intelligence Capital"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-CRE-801",
   "name": "Recraft",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": "Companies House shows Recraft AI Limited active, with a confirmation statement dated 5 December 2025.",
   "one_line": "AI tools that generate brand-consistent graphics, vector images and illustrations for designers.",
   "description": "Recraft is a London graphic-design generator founded and led by Anna Veronika Dorogush. UKTN reported in January 2024 that its AI tools were used by more than 300,000 designers, and that it raised $12m (£10m) in a Series A led by Khosla Ventures and former GitHub chief executive Nat Friedman, with RTP Global, Abstract VC, Basis Set Ventures and Elad Gil. It planned to build its own foundation model. Companies House lists Recraft AI Limited in London; its officers page would not open, so the link to the founder is by name and city only. [Labs Round 7, 30 Oct 2026] models_released: Recraft V3, 30 Oct 2024, ranked first on Artificial Analysis text-to-image leaderboard (company claim, ELO 1172); Recraft V4.1 Utility Pro, 30 May 2026 [Labs Round 7, 30 Oct 2026] users_or_customers: Over 300,000 users in eight months (Jan 2024); more than 4 million users (May 2025) [Labs Round 7, 30 Oct 2026] chief_executive: Anna Veronika Dorogush, founder and chief executive [Labs Round 7, 30 Oct 2026] legal_entity_note: Site footer reads \"© 2026 Recraft, Inc.\"; press releases datelined \"London, U.K.\" — lead to check UK entity [Labs Round 7, 30 Oct 2026] Listed on Labs (Generative image): builds its own image models (Recraft V3, 30 Oct 2024; V4 and V4.1 listed in docs; V4.1 Utility Pro, 30 May 2026); releases datelined London [Labs Round 8, 31 Oct 2026] founded: 2022 (founded in the US; headquartered in London) [Labs Round 8, 31 Oct 2026] chief_executive: Anna Veronika Dorogush — Founder and CEO [Labs Round 8, 31 Oct 2026] users_or_customers: Over 3 million users in about 200 countries; more than 350 million images generated; users named include Ogilvy, HubSpot, Netflix, Asana and Airbus [Labs Round 8, 31 Oct 2026] research_focus: Image models tuned for design and aesthetics, text rendering and editable vector output; research team of fewer than 20 people (30 May 2026) [Labs Round 8, 31 Oct 2026] models_released: Recraft V2 (13 Mar 2024); V3 (30 Oct 2024); V4 (17 Feb 2026); V4.1 (14 May 2026); V4.1 Flash (23 Sep 2026); Recraft Studio also hosts outside models (e.g. Nano Banana 2.1, Ideogram 4.5) [Labs Round 8, 31 Oct 2026] news: 2026-05-30 — Recraft V4.1 Utility Pro becomes the highest-ranked text-to-image model outside Google and OpenAI — https://www.recraft.ai/press-releases/recraft-v4-1-utility-pro-becomes-the-highest-ranked-text-to-image-model-outside-google-and-openai [Labs Round 8, 31 Oct 2026] status_now: Independent; London-headquartered; $30m Series B led by Accel (May 2025) with new investors added July 2025 [Labs Round 8, 31 Oct 2026] models_released: Recraft V2 (13 Mar 2024, ~20B parameters), V3 (30 Oct 2024), V4 (17 Feb 2026), V4.1 (14 May 2026), V4.1 Flash (23 Sep 2026); Recraft Studio also hosts third-party models (Nano Banana 2.1, ChatGPT Images 2.5, Ideogram 4.5, Seedance 2.5)",
   "uk_status": "uk",
   "company": {
    "ch_number": "14525957",
    "registered_office": "16 Great Queen Street, Covent Garden, London, United Kingdom, WC2B 5AH",
    "incorporated": "2022-12-06",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "14525957",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/14525957",
    "ch_note": null
   },
   "place": {
    "text": "London (WC2B 5AH; null; null)",
    "postcode": "WC2B 5AH",
    "lat": 51.515942,
    "lng": -0.120892,
    "region": "England: London",
    "admin_district": "Camden",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Anna Veronika Dorogush",
     "role": "founder and chief executive (as of 2024)",
     "from": null,
     "source": "https://www.uktech.news/ai/recraft-ai-graphic-design-20240119"
    },
    {
     "name": "Anna Veronika Dorogush",
     "role": "Founder and chief executive",
     "from": null,
     "source": "https://www.recraft.ai/news/series-b-announcement",
     "round4": true
    },
    {
     "name": "Anna Veronika Dorogush",
     "role": "Founder and Chief Executive",
     "from": null,
     "source": "https://www.recraft.ai/press-releases/recraft-v4-1-utility-pro-becomes-the-highest-ranked-text-to-image-model-outside-google-and-openai",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 12000000,
     "currency": "USD",
     "date": "2024-01",
     "detail": "Series A led by Khosla Ventures and Nat Friedman (reported as £10m)",
     "raw": "funding_round: 12000000 USD 2024-01 — Series A led by Khosla Ventures and Nat Friedman (reported as £10m)",
     "amount_gbp": 9413980,
     "fx_rate": 1.2747,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.2747 per £ on 2023-12-29",
     "fx_date": "2023-12-29",
     "fx_note": "month only given: rate for the 1st",
     "txt": "US$12m",
     "gbp_txt": "£9.4m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Perceptual systems"
   ],
   "sectors": [
    "graphic design",
    "generative AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "creative",
   "function": "AI tools that generate brand-consistent graphics, vector images and illustrations for designers.",
   "affiliation": "Start-ups",
   "sources": [
    "https://www.uktech.news/ai/recraft-ai-graphic-design-20240119",
    "https://find-and-update.company-information.service.gov.uk/company/14525957",
    "https://www.recraft.ai/blog/recraft-introduces-a-revolutionary-ai-model-that-thinks-in-design-language",
    "https://www.recraft.ai/news/series-b-announcement",
    "https://www.recraft.ai/press-releases/welcoming-new-investors-series-b",
    "https://www.recraft.ai/about",
    "https://www.recraft.ai/press-releases/recraft-v4-1-utility-pro-becomes-the-highest-ranked-text-to-image-model-outside-google-and-openai",
    "https://www.recraft.ai/blog-announcements",
    "https://www.recraft.ai/press-releases",
    "https://www.recraft.ai/blog",
    "https://www.recraft.ai/press-releases/series-b-announcement"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/recraft-ai-graphic-design-20240119",
     "quotes": [
      "London-based graphic design generator Recraft",
      "Recraft has raised $12m (£10m) to fund an R&D drive."
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14525957",
     "quotes": [
      "RECRAFT AI LIMITED",
      "Active",
      "Incorporated on 6 December 2022",
      "62012 - Business and domestic software development"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/blog/recraft-introduces-a-revolutionary-ai-model-that-thinks-in-design-language",
     "quotes": [
      "we are announcing Recraft V3, our latest model that sets a new quality standard"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/news/series-b-announcement",
     "quotes": [
      "With more than 4 million users"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/press-releases/welcoming-new-investors-series-b",
     "quotes": [
      "© 2026 Recraft, Inc."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/about",
     "quotes": [
      "Founded in the US in 2022 and headquartered in London, UK"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/press-releases/recraft-v4-1-utility-pro-becomes-the-highest-ranked-text-to-image-model-outside-google-and-openai",
     "quotes": [
      "It is also the first independent."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/blog-announcements",
     "quotes": [
      "Design taste is V4’s core breakthrough"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/press-releases",
     "quotes": [
      "Recraft V4.1 Utility Pro becomes the highest-ranked text-to-image model outside Google and OpenAI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/blog",
     "quotes": [
      "Recraft introduces a revolutionary AI model that thinks in design language\" (V3 post title)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/press-releases/series-b-announcement",
     "quotes": [
      "led by Accel with participation from Madrona Ventures"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Perceptual systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (WC2B 5AH; null; null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-030",
     "name": "Khosla Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-030",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "RTP Global"
    },
    {
     "kind": "founded_by",
     "name": "Anna Veronika Dorogush"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-IND-813",
   "name": "Machenta",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-27",
   "status_detail": "tech.eu reported on 27 October 2026 a $40m seed round; Companies House shows Machenta Ltd active, with IQ Capital's nominee appointed as director on 28 October 2025.",
   "one_line": "Builds an AI model that lets robots learn new physical tasks, such as packing and assembly, after one demonstration.",
   "description": "Machenta is a London robotics start-up, working from King's Cross, co-founded by Edward Johns, professor of robot learning at Imperial College London, and his PhD student Vitalis Vosylius. It is building an AI model, trained in simulation, that lets robots learn tasks such as packaging, assembling and tidying after seeing them once. tech.eu reported a $40m seed round on 27 October 2026, co-led by Creandum and Union Square Ventures. Companies House also shows IQ Capital's nominee on the board. [Round 4, 30 Oct 2026] LABS: Builds an AI model, trained only in simulation, that lets robots learn a physical task from one demonstration; team of about a dozen.",
   "uk_status": "uk",
   "company": {
    "ch_number": "16594535",
    "registered_office": "Unit 2c, 9-15 Elthorne Road, London, England, N19 4AJ",
    "incorporated": "2025-07-21",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "16594535",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/16594535",
    "ch_note": null
   },
   "place": {
    "text": "London (N19 4AJ; null; null)",
    "postcode": "N19 4AJ",
    "lat": 51.565997,
    "lng": -0.131179,
    "region": "England: London",
    "admin_district": "Islington",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Edward Johns",
     "role": "co-founder; director since 2025-07-21",
     "from": null,
     "source": "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/"
    },
    {
     "name": "Vitalis Vosylius",
     "role": "co-founder; director since 2025-07-21",
     "from": null,
     "source": "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/"
    },
    {
     "name": "Edward Johns",
     "role": "co-founder (professor of robot learning, Imperial College London)",
     "from": null,
     "source": "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/",
     "round4": true
    },
    {
     "name": "Vitalis Vosylius",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/",
     "round4": true
    },
    {
     "name": "Edward Johns",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/",
     "round4": true
    },
    {
     "name": "Vitalis Vosylius",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 40000000,
     "currency": "USD",
     "date": "2026-10",
     "detail": "seed co-led by Creandum and Union Square Ventures",
     "raw": "funding_round: 40000000 USD 2026-10 — seed co-led by Creandum and Union Square Ventures",
     "amount_gbp": 30275507,
     "fx_rate": 1.3212,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3212 per £ on 2026-10-01",
     "fx_date": "2026-10-01",
     "fx_note": "month only given: rate for the 1st",
     "txt": "US$40m",
     "gbp_txt": "£30.3m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "AI development and training",
    "Autonomous and agent systems"
   ],
   "sectors": [
    "robotics"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "industry",
   "function": "Builds an AI model that lets robots learn new physical tasks, such as packing and assembly, after one demonstration.",
   "affiliation": "Start-ups",
   "sources": [
    "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/",
    "https://find-and-update.company-information.service.gov.uk/company/16594535",
    "https://find-and-update.company-information.service.gov.uk/company/16594535/officers"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/10/27/london-robotics-startup-machenta-raises-40m-seed-investment/",
     "quotes": [
      "Machenta is building an AI model that enables robots to learn new tasks quickly.",
      "has raised a record $40m seed round, it said today"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16594535",
     "quotes": [
      "MACHENTA LTD",
      "Active",
      "Incorporated on 21 July 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16594535/officers",
     "quotes": [
      "JOHNS, Edward David, Dr",
      "21 July 2025",
      "VOSYLIUS, Vitalis",
      "21 July 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "AI development and training",
    "Autonomous and agent systems"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": "London (N19 4AJ; null; null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2073",
     "name": "Creandum",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2073",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2073",
     "name": "Creandum",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2073",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2255",
     "name": "Union Square Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2255",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2255",
     "name": "Union Square Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2255",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Creandum"
    },
    {
     "kind": "funded_by",
     "name": "Union Square Ventures"
    },
    {
     "kind": "spun_out_of",
     "name": "Imperial College London"
    },
    {
     "kind": "spun_out_of",
     "name": "Imperial College London"
    },
    {
     "kind": "founded_by",
     "name": "Edward Johns"
    },
    {
     "kind": "founded_by",
     "name": "Vitalis Vosylius"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-SU-HLT-807",
   "name": "ScienceMachine",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Science Machine Ltd was incorporated on 15 October 2025 with Lorenzo Sani as a director; a Delaware company, Science Machine Inc., has had a London UK establishment since 16 July 2024 (Companies House). Companies House shows SCIENCE MACHINE LTD as Active (checked 31 Oct 2026).",
   "one_line": "Autonomous AI agent, \"Sam\", that works as a round-the-clock bioinformatician for biotech and pharma companies.",
   "description": "ScienceMachine is a London AI start-up led by co-founder and chief executive Lorenzo Sani. Its agent, Sam, automates the whole data-analysis pipeline for biotech and pharma companies, acting as a 24/7 AI bioinformatician. tech.eu reported a $3.5m pre-seed round in July 2025 led by Revent and Nucleus Capital. Companies House shows Science Machine Inc. (Delaware) with a London establishment from July 2024 and a UK company, Science Machine Ltd, from October 2025, both at 15 Fitzroy Street. [Labs Round 7, 30 Oct 2026] Listed on Labs (AI for science): London company whose agent \"Sam\" acts as an always-on AI bioinformatician; $3.5m pre-seed 2025-07-09 already on site (DEAL-LC-030); chief executive Lorenzo Sani",
   "uk_status": "uk",
   "company": {
    "ch_number": "16785689",
    "registered_office": "15 Fitzroy Street, London, England, W1T 4DG",
    "incorporated": "2025-10-15",
    "legal_form": "ltd",
    "owner_or_acquirer": null,
    "headcount": null,
    "ch_number_clean": "16785689",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/16785689",
    "ch_note": null
   },
   "place": {
    "text": "London (W1T 4DG; null; null)",
    "postcode": "W1T 4DG",
    "lat": 51.521644,
    "lng": -0.138445,
    "region": "England: London",
    "admin_district": "Camden",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Lorenzo Sani",
     "role": "co-founder and chief executive; director since 2025-10-15",
     "from": null,
     "source": "https://tech.eu/2025/07/09/sciencemachine-raises-35m-for-leading-autonomous-ai-in-biotech-research/"
    },
    {
     "name": "Lorenzo Sani",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://tech.eu/2025/07/09/sciencemachine-raises-35m-for-leading-autonomous-ai-in-biotech-research/",
     "round4": true
    },
    {
     "name": "Lorenzo Sani",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://tech.eu/2025/07/09/sciencemachine-raises-35m-for-leading-autonomous-ai-in-biotech-research/",
     "round4": true
    }
   ],
   "money": [
    {
     "kind": "funding_round",
     "amount": 3500000,
     "currency": "USD",
     "date": "2025-07",
     "detail": "pre-seed led by Revent and Nucleus Capital",
     "raw": "funding_round: 3500000 USD 2025-07 — pre-seed led by Revent and Nucleus Capital",
     "amount_gbp": 2551392,
     "fx_rate": 1.3718,
     "fx_source": "Bank of England daily spot rate (series XUDLUSS, XUDLERS), US$1.3718 per £ on 2025-07-01",
     "fx_date": "2025-07-01",
     "fx_note": "month only given: rate for the 1st",
     "txt": "US$3.5m",
     "gbp_txt": "£2.6m"
    }
   ],
   "site": null,
   "product": null,
   "dsit_domains": [
    "Autonomous and agent systems",
    "Knowledge generation"
   ],
   "sectors": [
    "bioinformatics",
    "biotech research"
   ],
   "confidence": "verified",
   "checked": "2026-10-29",
   "as_of": "2026-10-29",
   "applied": null,
   "held": [],
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "health",
   "function": "Autonomous AI agent, \"Sam\", that works as a round-the-clock bioinformatician for biotech and pharma companies.",
   "affiliation": "Start-ups",
   "sources": [
    "https://tech.eu/2025/07/09/sciencemachine-raises-35m-for-leading-autonomous-ai-in-biotech-research/",
    "https://find-and-update.company-information.service.gov.uk/company/16785689",
    "https://find-and-update.company-information.service.gov.uk/company/16785689/officers",
    "https://www.sciencemachine.ai/",
    "https://www.sciencemachine.ai/solutions/lc-ms-review"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2025/07/09/sciencemachine-raises-35m-for-leading-autonomous-ai-in-biotech-research/",
     "quotes": [
      "has raised a $3.5 million pre-seed funding round.",
      "London-based AI startup"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16785689",
     "quotes": [
      "SCIENCE MACHINE LTD",
      "Active",
      "Incorporated on 15 October 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/16785689/officers",
     "quotes": [
      "Lorenzo Sani",
      "Director",
      "15 October 2025"
     ],
     "accessed": "2026-10-29",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sciencemachine.ai/",
     "quotes": [
      "Scientists review exceptions, not every chromatogram."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sciencemachine.ai/solutions/lc-ms-review",
     "quotes": [
      "They helped us reduce the time we were spending on QC and reporting by 80%"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [
    "Autonomous and agent systems",
    "Knowledge generation"
   ],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "London (W1T 4DG; null; null)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2191",
     "name": "Nucleus Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2191",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2191",
     "name": "Nucleus Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2191",
     "page_label": "Investors"
    },
    {
     "kind": "linked from: portfolio_of",
     "id": "BIZ-INV-2216",
     "name": "Revent",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2216",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2216",
     "name": "Revent",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2216",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Revent"
    },
    {
     "kind": "funded_by",
     "name": "Nucleus Capital"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Start-ups"
  },
  {
   "id": "BIZ-LAB-2002",
   "name": "Cursive",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-05-01",
   "status_detail": null,
   "one_line": "Lab founded by senior DeepMind alumni building AI agents that keep learning from real-world use; described as a foundation model start-up.",
   "description": "[Round 6, 30 Oct 2026] public compute: AIRR compute from the Sovereign AI Unit (2026-04-16); co-founder Talfan Evans [Labs Round 7, 30 Oct 2026] founders: Talfan Evans (co-founder); Olivier Henaff (co-founder, ex-DeepMind scientist) [Labs Round 7, 30 Oct 2026] approach: Agents that keep improving from real-world use, plus foundation models for behavioural prediction [Labs Round 8, 31 Oct 2026] research_focus: Foundation models for behavioural prediction and long-horizon reasoning, so agents improve the more they are deployed [Labs Round 8, 31 Oct 2026] founders: Olivier Hénaff — co-founder (former DeepMind scientist); Talfan Evans — co-founder [Labs Round 8, 31 Oct 2026] uk_government_links: Access to AIRR supercomputers through Sovereign AI, announced 16 Apr 2026 (see DEAL-LAB-2035) [Labs Round 8, 31 Oct 2026] Listed on Labs (General AI agents): builds foundation models so its agents learn and improve from real-world use",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Olivier Henaff",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    },
    {
     "name": "Talfan Evans",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Talfan Evans",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Olivier Henaff",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    },
    {
     "name": "Talfan Evans",
     "role": "co-founder and CEO",
     "from": "2025",
     "source": "https://www.telecomtv.com/content/digital-platforms-services/how-the-uk-is-turning-sovereign-ai-ambition-into-action-with-nvidia-technologies-55622/",
     "round4": true
    },
    {
     "name": "Olivier Henaff",
     "role": "co-founder",
     "from": "2025",
     "source": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "round4": true
    },
    {
     "name": "Talfan Evans",
     "role": "Co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Olivier Hénaff",
     "role": "Co-founder (former DeepMind scientist)",
     "from": null,
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "new labs 2025–26",
   "function": "Lab founded by senior DeepMind alumni building AI agents that keep learning from real-world use; described as a foundation model start-up.",
   "affiliation": "Labs",
   "sources": [
    "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
    "https://tech.eu/2026/05/01/over/",
    "https://sovereignai.gov.uk/post/our-first-investments",
    "https://www.telecomtv.com/content/digital-platforms-services/how-the-uk-is-turning-sovereign-ai-ambition-into-action-with-nvidia-technologies-55622/",
    "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "quotes": [
      "developing AI agents that learn and improve continuously from real-world use"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/05/01/over/",
     "quotes": [
      "AI foundation model startup"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://sovereignai.gov.uk/post/our-first-investments",
     "quotes": [
      "Cursive is developing agents that improve continuously from real-world use."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.telecomtv.com/content/digital-platforms-services/how-the-uk-is-turning-sovereign-ai-ambition-into-action-with-nvidia-technologies-55622/",
     "quotes": [
      "(trade) — \"said Talfan Evans, cofounder and CEO of Cursive."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "quotes": [
      "(trade) — \"Cursive, which is still in stealth mode,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "New labs 2025–26",
     "div": "new-labs-2025-26"
    }
   ],
   "div_label": "New labs 2025–26",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "founded_by",
     "name": "Olivier Henaff"
    },
    {
     "kind": "founded_by",
     "name": "Talfan Evans"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-2003",
   "name": "Twig Bio",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Companies House shows TWIG BIO LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Builds CANOPY, a foundation model for designing microbial strains used in engineering biology and biomanufacturing.",
   "description": "[Round 6, 30 Oct 2026] public compute: AIRR compute from the Sovereign AI Unit for CANOPY biology foundation model (2026-04-16); CEO and founder Russ Tucker [Labs Round 7, 30 Oct 2026] models_released: CANOPY — foundation model for engineering biology and biomanufacturing (Sovereign AI compute recipient, 2026)",
   "uk_status": "uk",
   "company": {
    "ch_number": "14353896",
    "ch_number_clean": "14353896",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/14353896",
    "ch_name": "TWIG BIO LIMITED",
    "legal_name": "TWIG BIO LIMITED",
    "status_registry": "Active",
    "incorporated": "13 September 2022",
    "sic_codes": [
     "72110 R&D on biotechnology"
    ]
   },
   "place": null,
   "people": [
    {
     "name": "Russ Tucker",
     "role": "CEO and founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Russ Tucker",
     "role": "CEO and Founder",
     "from": "2022",
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "James Allen",
     "role": "co-founder",
     "from": "2022",
     "source": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "round4": true
    },
    {
     "name": "Satnam Surae",
     "role": "co-founder",
     "from": "2022",
     "source": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "round4": true
    },
    {
     "name": "Russ Tucker",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://twig.bio/about/",
     "round4": true
    },
    {
     "name": "James Allen",
     "role": "co-founder and CSO",
     "from": "2022",
     "source": "https://twig.bio/about/",
     "round4": true
    },
    {
     "name": "Satnam Surae",
     "role": "co-founder and CTO",
     "from": null,
     "source": "https://twig.bio/about/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "AI for science",
   "function": "Builds CANOPY, a foundation model for designing microbial strains used in engineering biology and biomanufacturing.",
   "affiliation": "Labs",
   "sources": [
    "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
    "https://www.sovereignai.gov.uk/post/our-first-investments",
    "https://www.uktech.news/ai/twig-food-stealth-funding-20230911",
    "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
    "https://twig.bio/about/",
    "https://twig.bio/news/twig-secures-innovateuk-explorers-award/",
    "https://find-and-update.company-information.service.gov.uk/company/14353896"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "quotes": [
      "developing CANOPY, a foundation model for AI-driven strain design in engineering biology and biomanufacturing"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sovereignai.gov.uk/post/our-first-investments",
     "quotes": [
      "Twig Bio is building CANOPY, a foundation model for engineering biology and biomanufacturing."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/twig-food-stealth-funding-20230911",
     "quotes": [
      "(trade) — \"a team of 10 people"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/",
     "quotes": [
      "(trade) — \"Twig is a biotechnology startup using automation and AI to make sustainable bioproducts"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://twig.bio/about/",
     "quotes": [
      "Our mission is to revolutionise the global supply chain with frontier AI and biology."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://twig.bio/news/twig-secures-innovateuk-explorers-award/",
     "quotes": [
      "further develop our R&D relationships with Japanese partners"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/14353896",
     "quotes": [
      "TWIG BIO LIMITED | Company number 14353896 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-2004",
   "name": "Odyssey",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-04-16",
   "status_detail": null,
   "one_line": "World-model company founded by British researchers, with California operations and a UK research team; given UK AIRR compute.",
   "description": "[Round 6, 30 Oct 2026] public compute: AIRR compute from the Sovereign AI Unit for world models (2026-04-16) [Labs Round 7, 30 Oct 2026] founders: Oliver Cameron and Jeff Hawke (British AI researchers); significant UK team alongside California operations [Labs Round 7, 30 Oct 2026] approach: World models that learn from sights, sounds and words; uses named as robotics, defence and simulation [Labs Round 7, 30 Oct 2026] tile_move (proposed): Robotics and world models (proposed new tile) — described by government as developing world models; one of six AI Research Resource compute recipients (16 Apr 2026, already DEAL-LAB-2035) [Labs Round 8, 31 Oct 2026] founders: Oliver Cameron — co-founder; Jeff Hawke — co-founder; board member Ed Catmull (Pixar co-founder) [Labs Round 8, 31 Oct 2026] models_released: Explorer (18 Dec 2024), Odyssey-1 (28 May 2025), Odyssey-2 (27 Oct 2025), Odyssey-2 Pro (23 Jan 2026), Odyssey-2 Max (21 Apr 2026), PROWL-1 (12 May 2026), Agora-1 and Starchild-1 (18 May 2026), CaliBench (10 Aug 2026), Odyssey-3 (15 Sep 2026), Agora-2 (24 Sep 2026), PROWL-2 (1 Oct 2026) [Labs Round 8, 31 Oct 2026] news: 2026-02-12 — \"Odyssey Announces Investment from NVentures & Samsung Next\" — https://odyssey.systems/investment-from-nvidia-and-samsung (post not opened; not in deals_known — lead to verify as a funding deal) [Labs Round 8, 31 Oct 2026] Listed on Labs (Generative video): reason: London-based lab training its own world model that generates interactive video in real time (up to 30 fps, 40ms response, May 2025)",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Oliver Cameron",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Jeff Hawke",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Oliver Cameron",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Jeff Hawke",
     "role": "co-founder",
     "from": null,
     "source": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "round4": true
    },
    {
     "name": "Oliver Cameron",
     "role": "co-founder and CEO",
     "from": "2023",
     "source": "https://techcrunch.com/2026/06/17/world-model-maker-odyssey-nabs-1-45b-valuation-backed-by-amazon-and-other-big-names/",
     "round4": true
    },
    {
     "name": "Jeff Hawke",
     "role": "co-founder and CTO",
     "from": "2023",
     "source": "https://press.airstreet.com/p/odyssey-series-b",
     "round4": true
    },
    {
     "name": "Oliver Cameron",
     "role": "Co-founder",
     "from": null,
     "source": "https://www.eweek.com/news/odyssey-ai-interactive-video/",
     "round4": true
    },
    {
     "name": "Jeff Hawke",
     "role": "Co-founder",
     "from": null,
     "source": "https://www.eweek.com/news/odyssey-ai-interactive-video/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "frontier and foundation models",
   "function": "World-model company founded by British researchers, with California operations and a UK research team; given UK AIRR compute.",
   "affiliation": "Labs",
   "sources": [
    "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
    "https://press.airstreet.com/p/odyssey-series-b",
    "https://techcrunch.com/2026/06/17/world-model-maker-odyssey-nabs-1-45b-valuation-backed-by-amazon-and-other-big-names/",
    "https://the-decoder.com/amazon-nvidia-and-amd-bet-310-million-on-ai-startup-building-3d-world-models/",
    "https://www.maginative.com/odyssey-raises-18m-to-build-ai-worlds-using-backpack-mounted-cameras",
    "https://aibusiness.com/generative-ai/world-model-ai-lab-odyssey-valued-at-1-45-billion",
    "https://www.eweek.com/news/odyssey-ai-interactive-video/",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/ai-firms-pioneering-drug-discovery-cheaper-supercomputing-and-more-get-first-backing-through-uks-sovereign-ai",
     "quotes": [
      "developing world models that learn from and understand the world like people do"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://press.airstreet.com/p/odyssey-series-b",
     "quotes": [
      "We wrote the first check into Odyssey's seed in late 2023."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techcrunch.com/2026/06/17/world-model-maker-odyssey-nabs-1-45b-valuation-backed-by-amazon-and-other-big-names/",
     "quotes": [
      "(trade) — \"The company has now raised $337 million to date."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://the-decoder.com/amazon-nvidia-and-amd-bet-310-million-on-ai-startup-building-3d-world-models/",
     "quotes": [
      "(trade) — \"The round values Odyssey at $1.45 billion."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.maginative.com/odyssey-raises-18m-to-build-ai-worlds-using-backpack-mounted-cameras",
     "quotes": [
      "(trade) — \"The round, led by EQT Ventures"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://aibusiness.com/generative-ai/world-model-ai-lab-odyssey-valued-at-1-45-billion",
     "quotes": [
      "(trade) — \"The Palo Alto-based AI lab."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.eweek.com/news/odyssey-ai-interactive-video/",
     "quotes": [
      "The experience today feels like exploring a glitchy dream — raw, unstable, but undeniably new,"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Meet Odyssey-3: Our Most Powerful Foundation World Model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-001",
     "name": "Sovereign AI (UK Sovereign AI Fund)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-001",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "founded_by",
     "name": "Oliver Cameron"
    },
    {
     "kind": "founded_by",
     "name": "Jeff Hawke"
    }
   ],
   "degree": 11,
   "related_ids": [
    "BIZ-LAB-14059",
    "BIZ-LAB-14060",
    "BIZ-LAB-14061",
    "BIZ-LAB-14062",
    "BIZ-LAB-14063",
    "BIZ-LAB-14064",
    "BIZ-LAB-14065",
    "BIZ-LAB-14066",
    "BIZ-LAB-14067",
    "BIZ-LAB-14068",
    "BIZ-LAB-14069"
   ]
  },
  {
   "id": "BIZ-LAB-2005",
   "name": "General Instinct",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-05-01",
   "status_detail": null,
   "one_line": "Start-up set up by a DeepMind alumnus to build vision-language AI models.",
   "description": "[Labs Round 7, 30 Oct 2026] founders: Guanming Wang (former DeepMind intern); builds vision-language models [Labs Round 8, 31 Oct 2026] research_focus: Vision-language models [Labs Round 8, 31 Oct 2026] founders: Guanming Wang — founder (former DeepMind intern, per tech.eu)",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Guanming Wang",
     "role": "founder",
     "from": null,
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    },
    {
     "name": "Guanming Wang",
     "role": "founder",
     "from": null,
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    },
    {
     "name": "Guanming Wang",
     "role": "Founder (former DeepMind intern)",
     "from": null,
     "source": "https://tech.eu/2026/05/01/over/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "new labs 2025–26",
   "function": "Start-up set up by a DeepMind alumnus to build vision-language AI models.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/05/01/over/"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/05/01/over/",
     "quotes": [
      "vision-language-model AI startup"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "New labs 2025–26",
     "div": "new-labs-2025-26"
    }
   ],
   "div_label": "New labs 2025–26",
   "location": null,
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "founded_by",
     "name": "Guanming Wang"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-2007",
   "name": "Boltz",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-13",
   "status_detail": null,
   "one_line": "Builds biomolecular models and AI agents that predict molecular structures and help design medicines; founded by MIT researchers.",
   "description": "[Labs Round 7, 30 Oct 2026] uk_status set to foreign_with_uk_base: its own releases are datelined Cambridge, Massachusetts; 'London-based' comes only from NVIDIA's October 2026 post. [Labs Round 8, 31 Oct 2026] models_released: Boltz-1 (2024-11-16), BoltzGen (2025-10-26), Boltz-2, BoltzMol-1 and BoltzProt-1 with Boltz API (2026-06-16) — new records BIZ-LAB-12017 to 12020 [Labs Round 8, 31 Oct 2026] what_it_does: Builds open AI models for biomolecular discovery; describes itself as \"Foundational AI for Biology and Chemistry\" [Labs Round 8, 31 Oct 2026] offices: No UK office stated on pages opened; London launch event 2026-07-02",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Gabriele Corso",
     "role": "Co-founder and CEO",
     "from": null,
     "source": "https://boltz.com/bms-partnership",
     "round4": true
    },
    {
     "name": "Gabriele Corso",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://boltz.com/bms-partnership",
     "round4": true
    },
    {
     "name": "Jeremy Wohlwend",
     "role": "co-founder",
     "from": null,
     "source": "https://boltz.com/manifesto",
     "round4": true
    },
    {
     "name": "Saro Passaro",
     "role": "co-founder",
     "from": null,
     "source": "https://boltz.com/manifesto",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "AI for science",
   "function": "Builds biomolecular models and AI agents that predict molecular structures and help design medicines; founded by MIT researchers.",
   "affiliation": "Labs",
   "sources": [
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://tech.eu/2026/10/15/nvidia-bets-on-five-uk-startups/",
    "https://boltz.com/launch",
    "https://boltz.com/bms-partnership",
    "https://boltz.com/pfizer-partnership",
    "https://boltz.com/news",
    "https://boltz.com/",
    "https://techfundingnews.com/nvidia-pledges-250m-of-compute-to-uk-ai-safety-and-plans-stakes-in-boltz-foresight-and-hiverge/",
    "https://boltz.com/boltzmol-boltzprot-api",
    "https://phylo.bio/blog/boltz-partnership",
    "https://boltz.com/platform",
    "https://boltz.com/manifesto"
   ],
   "source_quotes": [
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "Boltz, a London-based AI startup founded by MIT researchers, builds biomolecular models and AI agents"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/10/15/nvidia-bets-on-five-uk-startups/",
     "quotes": [
      "AI drug discovery startup"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://boltz.com/launch",
     "quotes": [
      "we founded Boltz PBC, a Public Benefit Corporation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boltz.com/bms-partnership",
     "quotes": [
      "Cambridge, MA, October 21, 2026."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boltz.com/pfizer-partnership",
     "quotes": [
      "Pfizer will retain full ownership of all compounds discovered or developed."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boltz.com/news",
     "quotes": [
      "Boltz Announces Collaboration with GSK to Deploy Biomolecular AI Models for Drug Discovery."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boltz.com/",
     "quotes": [
      "Frontier models for designing all of life's molecules."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techfundingnews.com/nvidia-pledges-250m-of-compute-to-uk-ai-safety-and-plans-stakes-in-boltz-foresight-and-hiverge/",
     "quotes": [
      "(trade) — \"London-based Boltz, a public benefit corporation founded by MIT researchers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boltz.com/boltzmol-boltzprot-api",
     "quotes": [
      "our new protein design pipeline"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://phylo.bio/blog/boltz-partnership",
     "quotes": [
      "Boltz is building open frontier AI for biomolecular discovery"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boltz.com/platform",
     "quotes": [
      "Boltz is a frontier research lab building generative models for biology and chemistry."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://boltz.com/manifesto",
     "quotes": [
      "we founded Boltz as a public-benefit corporation (PBC)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": "London",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 4,
   "related_ids": [
    "BIZ-LAB-12017",
    "BIZ-LAB-12018",
    "BIZ-LAB-12019",
    "BIZ-LAB-12020"
   ]
  },
  {
   "id": "BIZ-LAB-2008",
   "name": "Locai Labs",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-13",
   "status_detail": null,
   "one_line": "UK sovereign AI company; released Nemotron-Personas-UK, an open dataset of one million synthetic personas, with NVIDIA.",
   "description": "[Labs Round 7, 30 Oct 2026] legal_name: Locai Labs Limited, Michelin House, 81 Fulham Road, London SW3 6RD [Labs Round 7, 30 Oct 2026] founded: 2022 [Labs Round 7, 30 Oct 2026] people: James Drayson (co-founder, chief executive); George Drayson (chief AI officer) [Labs Round 7, 30 Oct 2026] models_released: L1 (Nov 2025, continual post-training); Jupiter-N 120B and Jupiter-G 8B (Apr 2026); Juno-N-Coder-25B (Jul 2026); methods SPACE (expert pruning) and Forget-Me-Not (continual learning) [Labs Round 7, 30 Oct 2026] models_released: Earlier model Locai L1-Large powered the Locai general assistant (launched 2025), described by tech.eu as \"the UK's first foundational LLM\" [Labs Round 7, 30 Oct 2026] products: Locai 1 on-prem AI appliance (11 Aug 2026), Nano/One/Pro tiers with 40B/120B/300B-class models; prices from £9,999, £29,950, £49,950; UK Government Incubator for AI trialling Locai 1 [Labs Round 7, 30 Oct 2026] patents: Five listed: two granted (speech recognition, 2 Jan 2024; call classification, 6 Feb 2023), three pending (latest 8 Jul 2026, continual learning) [Labs Round 7, 30 Oct 2026] customers: First Light Fusion: contract for a domain-specific coding LLM running air-gapped in Oxford, two retraining cycles a year (23 Apr 2026) — DEAL-LAB-3008 [Labs Round 7, 30 Oct 2026] partnerships: Nemotron-Personas-UK: open dataset of one million synthetic UK personas, released with NVIDIA (Oct 2026) — DEAL-LAB-3009 [Labs Round 7, 30 Oct 2026] released_with_partner: Co-built NVIDIA's Nemotron-Personas-UK-Extended dataset (v1.0, 20 Oct 2026; 1,000,000 records, 9,000,000 personas)",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "James Drayson",
     "role": "Co-founder and chief executive",
     "from": null,
     "source": "https://www.civo.com/newsroom/locai-labs-and-civo-unveil-project-mercury-the-uks-first-family-of-sovereign-frontier-models",
     "round4": true
    },
    {
     "name": "James Drayson",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://www.civo.com/newsroom/locai-labs-and-civo-unveil-project-mercury-the-uks-first-family-of-sovereign-frontier-models",
     "round4": true
    },
    {
     "name": "George Drayson",
     "role": "chief AI officer",
     "from": null,
     "source": "https://locailabs.com/news/press-release-locai-labs-launches-locai-one-powered-by-nvidia-nemotron-3-5-lightning",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "frontier and foundation models",
   "function": "UK sovereign AI company; released Nemotron-Personas-UK, an open dataset of one million synthetic personas, with NVIDIA.",
   "affiliation": "Labs",
   "sources": [
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://locailabs.com/",
    "https://locailabs.com/about",
    "https://www.civo.com/newsroom/locai-labs-and-civo-unveil-project-mercury-the-uks-first-family-of-sovereign-frontier-models",
    "https://locailabs.com/research",
    "https://tech.eu/2026/04/14/locai-labs-and-civo-launch-project-mercury-to-end-uk-reliance-on-foreign-ai/",
    "https://locailabs.com/news/press-release-locai-labs-signs-contract-with-first-light-fusion-for-the-supply-of-a-domain-specific-llm-for-fusion-energy-research",
    "https://catalog.ngc.nvidia.com/orgs/nvidia/nemotron-personas/resources/nemotron-personas-dataset-en_gb/",
    "https://itbrief.co.uk/story/nvidia-backs-five-uk-startups-with-usd-250-million"
   ],
   "source_quotes": [
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "sovereign AI company Locai Labs released Nemotron-Personas-UK"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://locailabs.com/",
     "quotes": [],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://locailabs.com/about",
     "quotes": [
      "Founded in 2022\" [meta description]"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.civo.com/newsroom/locai-labs-and-civo-unveil-project-mercury-the-uks-first-family-of-sovereign-frontier-models",
     "quotes": [
      "; https://locailabs.com/news/press-release-locai-labs-launches-locai-one-powered-by-nvidia-nemotron-3-5-lightning"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://locailabs.com/research",
     "quotes": [
      "Continual post-training with Forget-Me-Not."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/04/14/locai-labs-and-civo-launch-project-mercury-to-end-uk-reliance-on-foreign-ai/",
     "quotes": [
      "Last year, Locai Labs launched Locai, a general AI assistant powered by Locai L1-Large, the UK's first foundational LLM,"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://locailabs.com/news/press-release-locai-labs-signs-contract-with-first-light-fusion-for-the-supply-of-a-domain-specific-llm-for-fusion-energy-research",
     "quotes": [
      "It's a privilege to support such an innovative and mission-driven company."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://catalog.ngc.nvidia.com/orgs/nvidia/nemotron-personas/resources/nemotron-personas-dataset-en_gb/",
     "quotes": [
      "This dataset was built in collaboration with Locai Labs , the sovereign AI computer company based in London."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://itbrief.co.uk/story/nvidia-backs-five-uk-startups-with-usd-250-million",
     "quotes": [
      "(trade) — \"an open-source dataset of one million synthetic personas"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-CLD-3011",
     "name": "Civo–Locai Labs Project Mercury",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-3011",
     "page_label": "Cloud and compute"
    },
    {
     "kind": "linked from: partner_of",
     "id": "BIZ-CLD-4002",
     "name": "Locai Labs–Civo Project Mercury",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-4002",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [],
   "degree": 3,
   "related_ids": [
    "BIZ-LAB-3006",
    "BIZ-LAB-3007",
    "BIZ-LAB-7098"
   ]
  },
  {
   "id": "BIZ-LAB-2012",
   "name": "AI Biosecurity Lab (AIBL)",
   "bucket": "org",
   "status": "launched",
   "status_date": "2026-10-26",
   "status_detail": null,
   "one_line": "Independent non-profit, modelled on the AI Security Institute, studying AI-related biological threats; part of the National AI Biosecurity Initiative.",
   "description": "[Labs Round 7, 30 Oct 2026] status: To operate as an independent, non-profit organisation within the National AI Biosecurity Initiative; tech.eu says it is modelled on the AI Security Institute [Labs Round 7, 30 Oct 2026] funding_breakdown: Government £100m. OpenAI: £100m in compute and model credits plus trusted access to its most capable relevant models through the Rosalind Biodefense programme. Anthropic: up to £100m in model credits, trusted model access and technical support [Labs Round 7, 30 Oct 2026] research_partners: Google DeepMind (BIZ-LAB-001; may give trusted access to Gemini and science models) and Basecamp Research (BIZ-LAB-010; access to its AI-biology models) [Labs Round 7, 30 Oct 2026] public_partners: UK Health Security Agency; Animal and Plant Health Agency; Defence Science and Technology Laboratory; Medicines and Healthcare products Regulatory Agency [Labs Round 7, 30 Oct 2026] initial_focus: Earlier detection of emerging biological threats; faster development of vaccines, treatments and other medical countermeasures. A scientific advisory committee is to be set out later [Labs Round 7, 30 Oct 2026] leader_and_site: No leader, host or site named as at 26 Oct 2026 [Labs Round 7, 30 Oct 2026] announcement_date: GOV.UK release published 24 Oct 2026 by the Cabinet Office; DEAL-LAB-2021 holds 26 Oct 2026 [Labs Round 7, 30 Oct 2026] AI Biosecurity Lab announced 24 October 2026 (GOV.UK, Cabinet Office); the tech.eu date was 26 October.",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "non-profit and independent research labs",
   "function": "Independent non-profit, modelled on the AI Security Institute, studying AI-related biological threats; part of the National AI Biosecurity Initiative.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2026/10/26/uk-government-launches-ai-biosecurity-lab-with-to-tackle-emerging-biological-threats/",
    "https://www.gov.uk/government/news/introducing-the-ai-biosecurity-lab"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2026/10/26/uk-government-launches-ai-biosecurity-lab-with-to-tackle-emerging-biological-threats/",
     "quotes": [
      "AIBL will operate as an independent, non-profit organisation"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/introducing-the-ai-biosecurity-lab",
     "quotes": [
      "Backed by £100 million of government funding, and up to £200 million in company commitments from OpenAI and Anthropic."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": null,
   "status_group": "launched",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-001",
     "name": "OpenAI (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-001",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-BIG-004",
     "name": "Anthropic (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-004",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "UK Government"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-010"
   ]
  },
  {
   "id": "BIZ-LAB-2013",
   "name": "Microsoft Research Cambridge",
   "bucket": "site",
   "status": "active",
   "status_date": "2026-10-30",
   "status_detail": null,
   "one_line": "Microsoft's Cambridge research lab; groups include Machine Intelligence, People-Centric AI and Future AI Infrastructure.",
   "description": "[Round 4, 30 Oct 2026] BIG TECH IN THE UK: Microsoft's research laboratory in Cambridge working on AI, cloud and productivity; named by Microsoft alongside Microsoft AI in London as its UK research base. [Labs Round 7, 30 Oct 2026] lab_director: Aditya Nori, Vice President and Lab Director; previously led the Machine Intelligence area at MSR Cambridge (accessed 2026-10-30) [Labs Round 7, 30 Oct 2026] research_groups: Four focus areas: Future AI Infrastructure (hardware for Microsoft's cloud and AI data centres); Machine Intelligence; People-Centric AI; Research Engineering (accessed 2026-10-30) [Labs Round 7, 30 Oct 2026] leadership_team: Austin Donnelly (Senior Principal Research Engineer Lead); Hitesh Ballani (Partner Research Manager); Katja Hofmann (Partner Research Manager); Rachel Howard (Director, Business Management & Ops); Siân Lindley (Senior Principal Research Manager); Ted Meeds (Senior Principal Research Manager) (accessed 2026-10-30) [Labs Round 7, 30 Oct 2026] sites: 21 Station Road, Cambridge CB1 2FB; 198 Cambridge Science Park, Milton Road, Cambridge CB4 0AB [Labs Round 7, 30 Oct 2026] former_director: Christopher Bishop, Lab Director 2015–2022; founded Microsoft Research AI for Science in 2022; now Microsoft Technical Fellow. His page does not state that AI for Science has a Cambridge team. [Labs Round 7, 30 Oct 2026] notable_outputs: Find My Things, a personalisable object recogniser (Daniela Massiceti and Martin Grayson, podcast 30 Sep 2024); Teachable AI prototype to help blind users find personal items (Cecily Morrison, 5 Dec 2023) [Labs Round 7, 30 Oct 2026] duplicate_flag: Same lab also on Big tech as BIZ-BIG-2026; merge or cross-reference [Labs Round 8, 31 Oct 2026] research_focus: Game Intelligence team \"has officially joined the larger People-Centric AI research area at Microsoft Research Cambridge\"; its WHAM/Muse work has since \"graduated into the Microsoft.AI product group\"",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "Cambridge (CB1 2FB; also CB4 0AB)",
    "postcode": "CB1 2FB",
    "lat": 52.194726,
    "lng": 0.135526,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Aditya Nori",
     "role": "lab director",
     "from": null,
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Katja Hofmann",
     "role": "partner research manager",
     "from": null,
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Hitesh Ballani",
     "role": "partner research manager",
     "from": null,
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Aditya Nori",
     "role": "Vice President and Lab Director",
     "from": "as at 2026-10-30",
     "source": "https://www.microsoft.com/en-us/research/people/adityan/",
     "round4": true
    },
    {
     "name": "Christopher Bishop",
     "role": "Lab Director 2015–2022; now Microsoft Technical Fellow and founder of Microsoft Research AI for Science",
     "from": "2015",
     "source": "https://www.microsoft.com/en-us/research/people/cmbishop/",
     "round4": true
    },
    {
     "name": "Katja Hofmann",
     "role": "Partner Research Manager",
     "from": "as at 2026-10-30",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Hitesh Ballani",
     "role": "Partner Research Manager",
     "from": "as at 2026-10-30",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Siân Lindley",
     "role": "Senior Principal Research Manager",
     "from": "as at 2026-10-30",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Ted Meeds",
     "role": "Senior Principal Research Manager",
     "from": "as at 2026-10-30",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Austin Donnelly",
     "role": "Senior Principal Research Engineer Lead",
     "from": "as at 2026-10-30",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Aditya Nori",
     "role": "Vice President and Lab Director",
     "from": "not stated",
     "source": "https://www.microsoft.com/en-us/research/people/adityan/",
     "round4": true
    },
    {
     "name": "Katja Hofmann",
     "role": "Partner Research Manager",
     "from": "not stated",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Hitesh Ballani",
     "role": "Partner Research Manager",
     "from": "not stated",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Siân Lindley",
     "role": "Senior Principal Research Manager",
     "from": "not stated",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Ted Meeds",
     "role": "Senior Principal Research Manager",
     "from": "not stated",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    },
    {
     "name": "Austin Donnelly",
     "role": "Senior Principal Research Engineer Lead",
     "from": "not stated",
     "source": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "corporate research labs",
   "function": "Microsoft's Cambridge research lab; groups include Machine Intelligence, People-Centric AI and Future AI Infrastructure.",
   "affiliation": "Labs",
   "sources": [
    "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
    "https://www.microsoft.com/en-us/research/project/alexandria/groups/",
    "https://blogs.microsoft.com/on-the-issues/2025/09/16/microsoft-30-billion-uk-ai-future/",
    "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/",
    "https://www.microsoft.com/en-us/research/people/adityan/",
    "https://www.microsoft.com/en-us/research/people/cmbishop/",
    "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/news-and-awards/?facet%5Btax%5D%5Bnews-tab-types%5D%5B%5D=240054",
    "https://www.microsoft.com/en-us/research/group/game-intelligence/",
    "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/projects/",
    "https://www.microsoft.com/en-us/research/project/wham/",
    "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/news-and-awards/"
   ],
   "source_quotes": [
    {
     "url": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/",
     "quotes": [
      "transform the world through deep research in areas of AI, confidential computing, healthcare"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/project/alexandria/groups/",
     "quotes": [
      "Advanced machine learning research, grounded in trust, efficiency, capability."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://blogs.microsoft.com/on-the-issues/2025/09/16/microsoft-30-billion-uk-ai-future/",
     "quotes": [
      "through Microsoft Research in Cambridge and Microsoft AI in London, we're proud to contribute"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://blogs.microsoft.com/blog/2024/04/07/announcing-new-microsoft-ai-hub-in-london/",
     "quotes": [
      "some of the foremost researchers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/people/adityan/",
     "quotes": [
      "Aditya Nori is Vice President and Lab Director of Microsoft Research Cambridge,\" (also listed as Lab Director on https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/people/cmbishop/",
     "quotes": [
      "Lab Director of Microsoft Research Cambridge from 2015 until 2022"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/news-and-awards/?facet%5Btax%5D%5Bnews-tab-types%5D%5B%5D=240054",
     "quotes": [
      "Abstracts: September 30, 2024"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/group/game-intelligence/",
     "quotes": [
      "has officially joined the larger People-Centric AI research area at Microsoft Research Cambridge"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/projects/",
     "quotes": [
      "project list page (nine projects named; no verbatim quote captured)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/project/wham/",
     "quotes": [
      "a close collaboration between the People-Centric AI group at Microsoft Research and Xbox Game Studios' Ninja Theory"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/news-and-awards/",
     "quotes": [
      "news list (Memora, MicroLEDs, Ottobock)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Cambridge (CB1 2FB; also CB4 0AB)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-009",
     "name": "Microsoft (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-009",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-14080",
    "BIZ-LAB-14081"
   ]
  },
  {
   "id": "BIZ-LAB-2014",
   "name": "Nokia Bell Labs Cambridge",
   "bucket": "site",
   "status": "active",
   "status_date": "2026-10-30",
   "status_detail": null,
   "one_line": "Nokia Bell Labs site on West Cambridge campus working on multimodal AI and machine learning for IoT and wearables.",
   "description": "[Labs Round 7, 30 Oct 2026] site_leader: Bo Olofsson, Software Innovations for Industry Verticals & Site Leader (accessed 2026-10-30) [Labs Round 7, 30 Oct 2026] research_areas: Multimodal AI and machine learning for IoT and wearables; social computing; materials science. Academic ties listed: Oxford, UCL, Lancaster, Newcastle, King's College London [Labs Round 7, 30 Oct 2026] site: Broers Building, 21 J.J. Thomson Avenue, Cambridge CB3 0FA (West Cambridge campus). Nokia lists this address as one of two locations of its Artificial Intelligence Research Lab (AIRL), the other in New Providence, New Jersey [Labs Round 7, 30 Oct 2026] research_group: Pervasive Systems research; founding director Fahim Kawsar [Labs Round 7, 30 Oct 2026] partnership: Founding member, with the University of Cambridge, of the Centre for Mobile, Wearable Systems and Augmented Intelligence (announced 20 Jun 2018); hosts PhD and postdoctoral researchers",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "Broers Building, 21 J.J. Thomson Avenue, Cambridge (CB3 0FA)",
    "postcode": "CB3 0FA",
    "lat": 52.20885,
    "lng": 0.090463,
    "region": "England: East of England",
    "admin_district": "Cambridge",
    "geocoded": "postcodes.io"
   },
   "people": [
    {
     "name": "Bo Olofsson",
     "role": "site leader",
     "from": null,
     "source": "https://nokia.com/bell-labs/about/locations/cambridge-uk",
     "round4": true
    },
    {
     "name": "Bo Olofsson",
     "role": "Software Innovations for Industry Verticals & Site Leader",
     "from": "as at 2026-10-30",
     "source": "https://www.nokia.com/bell-labs/about/locations/cambridge-uk/",
     "round4": true
    },
    {
     "name": "Fahim Kawsar",
     "role": "Founding Director of Pervasive Systems research",
     "from": "as at 2026-10-30",
     "source": "https://www.nokia.com/people/fahim-kawsar/",
     "round4": true
    },
    {
     "name": "Bo Olofsson",
     "role": "Software Innovations for Industry Verticals & Site Leader",
     "from": "not stated",
     "source": "https://www.nokia.com/bell-labs/about/locations/cambridge-uk/",
     "round4": true
    },
    {
     "name": "Fahim Kawsar",
     "role": "Founding Director of Pervasive Systems research (Cambridge, UK)",
     "from": "not stated",
     "source": "https://www.nokia.com/people/fahim-kawsar/",
     "round4": true
    },
    {
     "name": "Michael Eggleston",
     "role": "Data & Devices Group Leader",
     "from": "not stated",
     "source": "https://www.nokia.com/bell-labs/research/air-lab/data-and-devices/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "corporate research labs",
   "function": "Nokia Bell Labs site on West Cambridge campus working on multimodal AI and machine learning for IoT and wearables.",
   "affiliation": "Labs",
   "sources": [
    "https://nokia.com/bell-labs/about/locations/cambridge-uk",
    "https://www.nokia.com/bell-labs/about/locations/cambridge-uk/",
    "https://www.nokia.com/bell-labs/research/air-lab/data-and-devices/",
    "https://www.nokia.com/people/fahim-kawsar/",
    "https://www.nokia.com/blog/collaborating-with-the-university-of-cambridge-to-advance-ai-supported-multi-sensory-personal-devices/"
   ],
   "source_quotes": [
    {
     "url": "https://nokia.com/bell-labs/about/locations/cambridge-uk",
     "quotes": [
      "multimodal artificial intelligence/ machine learning for IoT (Internet of Things) and wearables"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nokia.com/bell-labs/about/locations/cambridge-uk/",
     "quotes": [
      "Software Innovations for Industry Verticals & Site Leader, Nokia Bell Labs Cambridge."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nokia.com/bell-labs/research/air-lab/data-and-devices/",
     "quotes": [
      "Artificial Intelligence Research Lab (AIRL), Nokia Bell Labs, 21 JJ Thomson Ave., CB3 0FA, Cambridge, UK"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nokia.com/people/fahim-kawsar/",
     "quotes": [
      "the Founding Director of Pervasive Systems research at Nokia Bell Labs, Cambridge, UK."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nokia.com/blog/collaborating-with-the-university-of-cambridge-to-advance-ai-supported-multi-sensory-personal-devices/",
     "quotes": [
      "3 Research Departments and a total of 25 researchers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Broers Building, 21 J.J. Thomson Avenue, Cambridge (CB3 0FA)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "part_of",
     "name": "Nokia"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-2015",
   "name": "Toshiba Europe Cambridge Research Laboratory",
   "bucket": "site",
   "status": "active",
   "status_date": "2026-10-30",
   "status_detail": null,
   "one_line": "Toshiba's Cambridge industrial research lab; groups include Language & Interaction, Vision & Learning, Embodied AI and Quantum Information.",
   "description": "[Labs Round 7, 30 Oct 2026] founded: 1991, as Toshiba Cambridge Research Centre [Labs Round 7, 30 Oct 2026] research_groups: Three teams: Quantum Information; Language and Interaction (LIG); Vision and Learning (VLG). LIG and VLG form its Embodied AI work and grew from the former Speech Technology Group (est. 2002) and Computer Vision Group [Labs Round 7, 30 Oct 2026] investment: Toshiba to invest £15m over five years in Embodied AI at CRL (17 Jun 2024); first industrial Embodied AI prototype planned for 2027 [Labs Round 7, 30 Oct 2026] leaders_history: Prof Sir Michael Pepper led the lab from its start until July 2007; Prof Roberto Cipolla took over in July 2007. The page names no current director. [Labs Round 7, 30 Oct 2026] research_staff: Chao Zhang (VLG, multi-modal foundation models); Rudra Poudel (VLG lead scientist, world models for reinforcement learning), as at 17 Jun 2024 [Labs Round 7, 30 Oct 2026] notable_outputs: CVPR 2024: Dialogue-Based Localization; ReCoRe. Interspeech 2024: Prompting Whisper for QA-driven zero-shot end-to-end spoken language understanding. WACV 2025: NPLMV-PS (neural point-light multi-view photometric stereo). ACL 2025 workshops: ToolReAGt (tool retrieval for LLM agents); Conditional Multi-Stage Failure Recovery for Embodied Agents",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Roberto Cipolla",
     "role": "Took over leadership of the lab (current role not stated on page)",
     "from": "2007-07",
     "source": "https://www.toshiba.eu/cambridge-research-laboratory/about-us/",
     "round4": true
    },
    {
     "name": "Chao Zhang",
     "role": "Vision & Learning Group expert on multi-modal foundation models",
     "from": "as at 2024-06-17",
     "source": "https://www.toshiba.eu/cambridge-research-laboratory/news/toshibas-leading-cambridge-research-laboratory-crl-doubles-down-on-cutting-edge-embodied-ai-to-bring-ai-into-the-real-world/",
     "round4": true
    },
    {
     "name": "Rudra Poudel",
     "role": "Vision & Learning Group lead scientist, world models for reinforcement learning",
     "from": "as at 2024-06-17",
     "source": "https://www.toshiba.eu/cambridge-research-laboratory/news/toshibas-leading-cambridge-research-laboratory-crl-doubles-down-on-cutting-edge-embodied-ai-to-bring-ai-into-the-real-world/",
     "round4": true
    },
    {
     "name": "Roberto Cipolla",
     "role": "Leads the lab",
     "from": "2007-07",
     "source": "https://www.toshiba.eu/cambridge-research-laboratory/about-us/",
     "round4": true
    },
    {
     "name": "Rudra Poudel",
     "role": "Lead scientist, World Models for Reinforcement Learning, Vision & Learning Group",
     "from": "2024",
     "source": "https://www.toshiba.eu/cambridge-research-laboratory/news/toshibas-leading-cambridge-research-laboratory-crl-doubles-down-on-cutting-edge-embodied-ai-to-bring-ai-into-the-real-world/",
     "round4": true
    },
    {
     "name": "Chao Zhang",
     "role": "Multimodal foundation models, Vision & Learning Group",
     "from": "2024",
     "source": null,
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "corporate research labs",
   "function": "Toshiba's Cambridge industrial research lab; groups include Language & Interaction, Vision & Learning, Embodied AI and Quantum Information.",
   "affiliation": "Labs",
   "sources": [
    "https://www.toshiba.eu/eu/Cambridge-Research-Laboratory/Speech-Technology/",
    "https://www.toshiba.eu/cambridge-research-laboratory/about-us/",
    "https://www.toshiba.eu/cambridge-research-laboratory/news/toshibas-leading-cambridge-research-laboratory-crl-doubles-down-on-cutting-edge-embodied-ai-to-bring-ai-into-the-real-world/",
    "https://www.toshiba.eu/cambridge-research-laboratory/embodied-ai/"
   ],
   "source_quotes": [
    {
     "url": "https://www.toshiba.eu/eu/Cambridge-Research-Laboratory/Speech-Technology/",
     "quotes": [
      "building an ever-improving foundation of automated industrial Artificial Intelligence"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.toshiba.eu/cambridge-research-laboratory/about-us/",
     "quotes": [
      "was established in 1991"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.toshiba.eu/cambridge-research-laboratory/news/toshibas-leading-cambridge-research-laboratory-crl-doubles-down-on-cutting-edge-embodied-ai-to-bring-ai-into-the-real-world/",
     "quotes": [
      "fueled by a £15 million investment from Toshiba in the next five years into the field"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.toshiba.eu/cambridge-research-laboratory/embodied-ai/",
     "quotes": [
      "The Vision & Learning Group (VLG) focuses on learning from interaction in physical environments."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "part_of",
     "name": "Toshiba"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-2016",
   "name": "Meta AI research, London hub",
   "bucket": "site",
   "status": "active",
   "status_date": "2023-06-13",
   "status_detail": null,
   "one_line": "One of Meta's four EMEA AI research hubs; London and Paris researchers open-sourced the Implicitron 3D modelling framework.",
   "description": "[Labs Round 7, 30 Oct 2026] history: 17 Jul 2018: Andrea Vedaldi joins Facebook's London office (computer vision and machine learning); the Bloomsbury AI team joins in London (acquisition already known: DEAL-LA-015; company record BIZ-SU-OTH-701) [Labs Round 7, 30 Oct 2026] research_areas: FAIR London known for 3D computer vision; also knowledge-intensive and multilingual NLP and reinforcement learning (as at 23 Feb 2021) [Labs Round 7, 30 Oct 2026] programme: FAIR UK PhD programme with UCL: four-year partnership, four UCL PhD students hosted in year one (23 Feb 2021); Meta's fourth such programme after France, the US and Canada",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Andrea Vedaldi",
     "role": "Joined Facebook's London office (computer vision and machine learning)",
     "from": "2018-07-17",
     "source": "https://ai.meta.com/blog/facebook-ai-research-expands-with-new-academic-collaborations/",
     "round4": true
    },
    {
     "name": "Sebastian Riedel",
     "role": "Facebook AI Research Manager (UCL dual affiliation)",
     "from": "as at 2021-02-23",
     "source": "https://ai.meta.com/blog/fair-unveils-uk-phd-program-in-partnership-with-ucl/",
     "round4": true
    },
    {
     "name": "Naila Murray",
     "role": "Head of FAIR EMEA",
     "from": "2023 (current role not checked)",
     "source": "https://about.fb.com/news/2023/06/a-spotlight-on-the-four-emea-tech-hubs-pioneering-metas-ai-research-around-the-world/amp/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "corporate research labs",
   "function": "One of Meta's four EMEA AI research hubs; London and Paris researchers open-sourced the Implicitron 3D modelling framework.",
   "affiliation": "Labs",
   "sources": [
    "https://about.fb.com/news/2023/06/a-spotlight-on-the-four-emea-tech-hubs-pioneering-metas-ai-research-around-the-world/amp/",
    "https://ai.meta.com/blog/facebook-ai-research-expands-with-new-academic-collaborations/",
    "https://ai.meta.com/blog/fair-unveils-uk-phd-program-in-partnership-with-ucl/"
   ],
   "source_quotes": [
    {
     "url": "https://about.fb.com/news/2023/06/a-spotlight-on-the-four-emea-tech-hubs-pioneering-metas-ai-research-around-the-world/amp/",
     "quotes": [
      "pioneering work stemming from our tech hubs in Paris, London, Tel Aviv, and Zurich"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.meta.com/blog/facebook-ai-research-expands-with-new-academic-collaborations/",
     "quotes": [
      "Andrea Vedaldi will join our London office, where he will focus on computer vision and machine learning."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.meta.com/blog/fair-unveils-uk-phd-program-in-partnership-with-ucl/",
     "quotes": [
      "well known for its work in 3D computer vision"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "London",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-019",
     "name": "Meta (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-019",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-2020",
   "name": "Mater-AI",
   "bucket": "co",
   "status": "active",
   "status_date": "2025-12-03",
   "status_detail": null,
   "one_line": "Uses AI with physics-based modelling to discover thermoelectric materials that turn waste heat into electricity.",
   "description": "[Labs Round 7, 30 Oct 2026] founders: Nickel Blankevoort — chief executive; Gatleen Bhambra — chief operating officer; Chelsea Williams — chief technology officer; Jack Broad — founding AI scientist; builds on Blankevoort's University of Warwick research [Labs Round 7, 30 Oct 2026] key_facts: AI plus physics modelling for thermoelectric materials; says it generates and evaluates 100 structures per hour, up to 438× faster than traditional R&D; lab testing with University of Cambridge, Imperial College London and Henry Royce Institute [Labs Round 7, 30 Oct 2026] rounds: £1.5m pre-seed (2025-12-03) led by Twin Path Ventures; with Mishcon de Reya, One Planet Capital, XTX Ventures, Conception X Angel Syndicate, Koro Capital, Tailored Solutions",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Nickel Blankevoort",
     "role": "CEO",
     "from": null,
     "source": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat",
     "round4": true
    },
    {
     "name": "Nickel Blankevoort",
     "role": "chief executive",
     "from": null,
     "source": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat",
     "round4": true
    },
    {
     "name": "Chelsea Williams",
     "role": "chief technology officer",
     "from": null,
     "source": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat",
     "round4": true
    },
    {
     "name": "Nickel Blankevoort",
     "role": "Chief Executive Officer",
     "from": null,
     "source": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat/",
     "round4": true
    },
    {
     "name": "Gatleen Bhambra",
     "role": "Chief Operating Officer",
     "from": null,
     "source": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat/",
     "round4": true
    },
    {
     "name": "Chelsea Williams",
     "role": "Chief Technology Officer",
     "from": null,
     "source": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "AI for science",
   "function": "Uses AI with physics-based modelling to discover thermoelectric materials that turn waste heat into electricity.",
   "affiliation": "Labs",
   "sources": [
    "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat",
    "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat/"
   ],
   "source_quotes": [
    {
     "url": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat",
     "quotes": [
      "It combines AI and physics-based modelling to accelerate design from decades to weeks"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat/",
     "quotes": [
      "(trade) — \"Our mission is simple: make heat useful again."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2253",
     "name": "Twin Path Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2253",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-044",
     "name": "XTX Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-044",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "alumni_of",
     "name": "University of Warwick (founder research)"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-2023",
   "name": "OpenAI London research hub",
   "bucket": "site",
   "status": "active",
   "status_date": "2026-02-26",
   "status_detail": null,
   "one_line": "OpenAI's London research team, planned as its largest research hub outside San Francisco, working on frontier model development.",
   "description": "[Labs Round 7, 30 Oct 2026] role_of_hub: 26 Feb 2026: London named as OpenAI's largest research hub outside San Francisco (Liz Kendall: outside the US); researchers there to own key parts of frontier model development, including quality, reliability, alignment and safety; announced by chief research officer Mark Chen. Headcount not stated. [Labs Round 7, 30 Oct 2026] research_team: Training team (produces the large language models behind OpenAI research and products) hiring \"Researcher, Training - London\": architecture design, long-context and efficient attention, optimisation, science of scaling; London office, no remote working (accessed 2026-10-30) [Labs Round 7, 30 Oct 2026] origin: 28 Jun 2023: London chosen as OpenAI's first international office, with teams in research, engineering and go-to-market",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London, King's Cross (new Regent Quarter office, about 88,500 sq ft, expected 2027)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Mark Chen",
     "role": "Chief research officer, OpenAI (announced London research hub)",
     "from": "as at 2026-02-26",
     "source": "https://www.uktech.news/ai/openai-names-london-as-its-next-major-research-hub-20260226",
     "round4": true
    },
    {
     "name": "Phoebe Thacker",
     "role": "Global head of data research programmes and London site lead",
     "from": "2026-04-13",
     "source": "https://www.uktech.news/ai/openai-secures-first-permanent-london-office-to-support-growing-uk-presence-20260413",
     "round4": true
    },
    {
     "name": "Mark Chen",
     "role": "Chief research officer, OpenAI",
     "from": "2026-02-26 (quoted)",
     "source": "https://www.uktech.news/ai/openai-names-london-as-its-next-major-research-hub-20260226",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "corporate research labs",
   "function": "OpenAI's London research team, planned as its largest research hub outside San Francisco, working on frontier model development.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/ai/openai-names-london-as-its-next-major-research-hub-20260226",
    "https://www.uktech.news/ai/openai-secures-first-permanent-london-office-to-support-growing-uk-presence-20260413",
    "https://openai.com/careers/researcher-training-london-london-uk/",
    "https://openai.com/index/introducing-openai-london/",
    "https://www.uktech.news/ai/openai-expands-uk-footprint-and-backs-local-infrastructure-20250722"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/openai-names-london-as-its-next-major-research-hub-20260226",
     "quotes": [
      "own key components of OpenAI's frontier model development"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/openai-secures-first-permanent-london-office-to-support-growing-uk-presence-20260413",
     "quotes": [
      "London is already a key hub for our research and teams"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://openai.com/careers/researcher-training-london-london-uk/",
     "quotes": [
      "push the frontier of LLM development for OpenAI's flagship models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://openai.com/index/introducing-openai-london/",
     "quotes": [
      "We are eager to build dynamic teams in Research, Engineering, and Go-to-Market functions"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/openai-expands-uk-footprint-and-backs-local-infrastructure-20250722",
     "quotes": [
      "(trade) — \"AI is a core technology for nation building that will transform economies and deliver growth."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "London, King's Cross (new Regent Quarter office, about 88,500 sq ft, expected 2027)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-001",
     "name": "OpenAI (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-001",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-BIG-2004",
   "name": "NVIDIA AI lab, Bristol",
   "bucket": "site",
   "status": "operating; expansion announced",
   "status_date": "2025-06-08",
   "status_detail": null,
   "one_line": "NVIDIA's AI research lab in Bristol; in June 2025 the government said it would expand to other parts of the UK.",
   "description": "[Labs Round 7, 30 Oct 2026] Listed on Labs (Corporate research labs)",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "Bristol (—)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South West"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "UK research teams",
   "function": "NVIDIA's AI research lab in Bristol; in June 2025 the government said it would expand to other parts of the UK.",
   "affiliation": "Big tech in the UK",
   "sources": [
    "https://www.gov.uk/government/news/pm-launches-national-skills-drive-to-unlock-opportunities-for-young-people-in-tech",
    "https://nvidianews.nvidia.com/news/nvidia-commits-250-million-to-advance-uk-agentic-safety-and-security-research-over-the-next-five-years",
    "https://blogs.nvidia.com/blog/uk-partner-ecosystem-ai-makers/",
    "https://blogs.nvidia.com/blog/uk-ai-vision/"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/pm-launches-national-skills-drive-to-unlock-opportunities-for-young-people-in-tech",
     "quotes": [
      "NVIDIA will expand its AI lab in Bristol to other areas of the UK to accelerate UK research in AI."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://nvidianews.nvidia.com/news/nvidia-commits-250-million-to-advance-uk-agentic-safety-and-security-research-over-the-next-five-years",
     "quotes": [
      "AI capability and safety must advance together,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://blogs.nvidia.com/blog/uk-partner-ecosystem-ai-makers/",
     "quotes": [
      "The U.K. is driving investments in sovereign AI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://blogs.nvidia.com/blog/uk-ai-vision/",
     "quotes": [
      "first U.K. Sovereign AI Industry Forum"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Bristol (—)",
   "status_group": "operating; expansion announced",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Big tech in the UK"
  },
  {
   "id": "BIZ-BIG-2023",
   "name": "Graphcore AI development lab, Bristol (SoftBank)",
   "bucket": "site",
   "status": "announced",
   "status_date": "2025-11-20",
   "status_detail": null,
   "one_line": "Graphcore and SoftBank announced a new AI development lab in Bristol, doubling their headcount to 750 jobs.",
   "description": "[Labs Round 7, 30 Oct 2026] Listed on Labs (Corporate research labs)",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "Bristol (—)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South West"
   },
   "people": [
    {
     "name": "Marcus McElroy",
     "role": "General Manager; \"at the helm\"",
     "from": "2026-07-31",
     "source": "https://www.graphcore.ai/posts/graphcore-co-founder-and-executive-chair-nigel-toon-steps-down",
     "round4": true
    },
    {
     "name": "Nigel Toon",
     "role": "Co-founder; stepped down as Executive Chair",
     "from": "left 2026-07-31",
     "source": "https://www.graphcore.ai/posts/graphcore-co-founder-and-executive-chair-nigel-toon-steps-down",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "UK research teams",
   "function": "Graphcore and SoftBank announced a new AI development lab in Bristol, doubling their headcount to 750 jobs.",
   "affiliation": "Big tech in the UK",
   "sources": [
    "https://www.gov.uk/government/news/ai-to-power-national-renewal-as-government-announces-billions-of-additional-investment-and-new-plans-to-boost-uk-businesses-jobs-and-innovation",
    "https://www.graphcore.ai/posts/graphcore-co-founder-and-executive-chair-nigel-toon-steps-down",
    "https://www.graphcore.ai/posts/graphcore-joins-softbank-group-to-build-next-generation-of-ai-compute",
    "https://www.graphcore.ai/about",
    "https://www.graphcore.ai/posts/graphcore-begins-hiring-drive-with-75-new-jobs"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/ai-to-power-national-renewal-as-government-announces-billions-of-additional-investment-and-new-plans-to-boost-uk-businesses-jobs-and-innovation",
     "quotes": [
      "a new AI development lab in Bristol - doubling their headcount to 750 jobs."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.graphcore.ai/posts/graphcore-co-founder-and-executive-chair-nigel-toon-steps-down",
     "quotes": [
      "I now leave Graphcore in safe hands with Marcus McElroy at the helm"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.graphcore.ai/posts/graphcore-joins-softbank-group-to-build-next-generation-of-ai-compute",
     "quotes": [
      "Graphcore becomes a wholly owned subsidiary of SoftBank and will continue to operate under the Graphcore name."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.graphcore.ai/about",
     "quotes": [
      "Graphcore is now a wholly owned subsidiary of SoftBank Group Corp"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.graphcore.ai/posts/graphcore-begins-hiring-drive-with-75-new-jobs",
     "quotes": [
      "Graphcore is a place where people can come to do their very best work."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Bristol (—)",
   "status_group": "announced",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-CHIP-003",
     "name": "Graphcore",
     "page": "chips",
     "href": "../chips/#org=BIZ-CHIP-003",
     "page_label": "Chips and hardware"
    }
   ],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "SoftBank"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Big tech in the UK"
  },
  {
   "id": "BIZ-SAFE-2011",
   "name": "AI Security Institute (AISI)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-10-26",
   "status_detail": null,
   "one_line": "Government research body within DSIT that tests advanced AI models and funds alignment and safety research; £66m a year.",
   "description": "[Labs Round 7, 30 Oct 2026] Listed on Labs (AI safety research): (public research body); tile AI safety research [Labs Round 8, 31 Oct 2026] headcount: Over 100 technical staff (read 2026-10-31); over 30 technical researchers (2024-05-20) [Labs Round 8, 31 Oct 2026] chief_executive: Adam Beaumont, Director (as of 2025-12-22) [Labs Round 8, 31 Oct 2026] chief_scientist: Geoffrey Irving, Chief Scientist (2024-10-03) [Labs Round 8, 31 Oct 2026] research_leads: As of 2024-05-20: Jade Leung (Chief Technology Officer); Research Directors Geoffrey Irving, Chris Summerfield, Yarin Gal (current roles not re-checked) [Labs Round 8, 31 Oct 2026] status_now: Renamed from AI Safety Institute to AI Security Institute on 2025-02-14; describes itself as a research organisation within DSIT [Labs Round 8, 31 Oct 2026] outputs: Frontier AI Trends Report (December 2025): more than 30 frontier systems tested since November 2023; apprentice-level cyber task success rose from under 9% (late 2023) to about 50%; universal jailbreaks found for every system tested [Labs Round 8, 31 Oct 2026] news: 2025-12-22 — 2025 year in review: more than 30 frontier models tested; persuasion study with over 76,000 participants in Science; 62,000 vulnerabilities found in agent red-team with Grey Swan; £15m Alignment Project, £8m Systemic Safety Grants, £5m Challenge Fund — https://www.aisi.gov.uk/blog/our-2025-year-in-review [Labs Round 8, 31 Oct 2026] news: 2026-07-23 — new Control Red Team stress-tests frontier monitors; tested a Google DeepMind asynchronous reasoning monitor and Anthropic agentic coding monitors — https://www.aisi.gov.uk/blog/how-our-new-control-red-team-is-stress-testing-frontier-monitors [Labs Round 8, 31 Oct 2026] news: 2026-08-04 — Incident Report: unsanctioned agent behaviour during cyber testing — https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testing [Labs Round 8, 31 Oct 2026] Listed on Labs (Non-profit and independent research labs): a government research organisation inside DSIT with over 100 technical staff that publishes its own AI research [Labs Round 8, 31 Oct 2026] Director: Henry de Zoete; Adam Beaumont signed the December 2025 review as director.",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Henry de Zoete OBE",
     "role": "Director",
     "from": "as listed 2026-10-30",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Adam Beaumont",
     "role": "Director of the UK AI Security Institute (author of the 2025 review; conflicts with the about page, see Gaps)",
     "from": "2025-12-22",
     "source": "https://www.aisi.gov.uk/blog/our-2025-year-in-review",
     "round4": true
    },
    {
     "name": "Jade Leung",
     "role": "Chief Technology Officer",
     "from": "2024-11-06 (still listed 2026-10-30)",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Nate Burnikell",
     "role": "Chief Strategy Officer",
     "from": "as listed 2026-10-30",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Chris Summerfield",
     "role": "Research Director",
     "from": "as listed 2026-10-30",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Ian Hogarth",
     "role": "Chair",
     "from": "2024-11-06 (still listed 2026-10-30)",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Geoffrey Irving",
     "role": "Chief Scientist",
     "from": "2024-11-06",
     "source": "https://www.gov.uk/government/news/ensuring-trust-in-ai-to-unlock-65-billion-over-next-decade",
     "round4": true
    },
    {
     "name": "Jade Leung",
     "role": "Vice-Chair of AISI and Security Advisor to the AI Taskforce (stepping back as PM's AI adviser and AISI CTO \"due to personal circumstances\"); also part-time Distinguished Visiting Fellow, Hoover Institution",
     "from": "end of September 2026 (announced 2026-09-23)",
     "source": "https://www.gov.uk/government/news/dr-jade-leung-appointed-vice-chair-of-the-ai-security-institute-and-security-advisor-to-the-ai-taskforce",
     "round4": true
    },
    {
     "name": "Adam Beaumont",
     "role": "Interim Director, AI Security Institute (moved from GCHQ Chief AI Officer)",
     "from": "date not published (GOV.UK page first published 2025-10-24)",
     "source": "https://www.gov.uk/government/people/adam-beaumont",
     "round4": true
    },
    {
     "name": "Henry de Zoete",
     "role": "Director, AI Security Institute (previously the Prime Minister's AI Adviser)",
     "from": "date not published",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Adam Beaumont",
     "role": "Director",
     "from": "— (as of 2025-12-22)",
     "source": "https://www.aisi.gov.uk/blog/our-2025-year-in-review",
     "round4": true
    },
    {
     "name": "Geoffrey Irving",
     "role": "Chief Scientist",
     "from": "— (as of 2024-10-03)",
     "source": "https://www.aisi.gov.uk/category/organisation",
     "round4": true
    },
    {
     "name": "Henry de Zoete",
     "role": "Director",
     "from": "start date not stated (About page read 2026-10-31)",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Adam Beaumont",
     "role": "Director (as signatory of the 2025 review)",
     "from": "2025-12-22",
     "source": "https://www.aisi.gov.uk/blog/our-2025-year-in-review",
     "round4": true
    },
    {
     "name": "Ian Hogarth",
     "role": "Chair",
     "from": "not stated",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Jade Leung",
     "role": "Chief Technology Officer",
     "from": "not stated",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Nate Burnikell",
     "role": "Chief Strategy Officer",
     "from": "not stated",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    },
    {
     "name": "Chris Summerfield",
     "role": "Research Director",
     "from": "not stated",
     "source": "https://www.aisi.gov.uk/about",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "evaluation and red-teaming",
   "function": "Government research body within DSIT that tests advanced AI models and funds alignment and safety research; £66m a year.",
   "affiliation": "Safety",
   "sources": [
    "https://www.aisi.gov.uk/about",
    "https://www.gov.uk/government/news/ensuring-trust-in-ai-to-unlock-65-billion-over-next-decade",
    "https://www.aisi.gov.uk/blog/fourth-progress-report",
    "https://www.aisi.gov.uk/blog/our-2025-year-in-review",
    "https://www.aisi.gov.uk/category/organisation",
    "https://www.aisi.gov.uk/",
    "https://www.aisi.gov.uk/frontier-ai-trends-report",
    "https://www.aisi.gov.uk/blog/how-our-new-control-red-team-is-stress-testing-frontier-monitors",
    "https://www.aisi.gov.uk/blog",
    "https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testing",
    "https://www.aisi.gov.uk/blog/funding-60-projects-to-advance-ai-alignment-research",
    "https://www.aisi.gov.uk/blog/partnering-with-microsoft-to-strengthen-frontier-ai-safety"
   ],
   "source_quotes": [
    {
     "url": "https://www.aisi.gov.uk/about",
     "quotes": [
      "We are a mission-driven research organisation in the heart of the UK government."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/ensuring-trust-in-ai-to-unlock-65-billion-over-next-decade",
     "quotes": [
      "the world's first government body dedicated to AI safety"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog/fourth-progress-report",
     "quotes": [
      "grew our technical team to >30 researchers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog/our-2025-year-in-review",
     "quotes": [
      "Director of the UK AI Security Institute"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/category/organisation",
     "quotes": [
      "Our Chief Scientist"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/",
     "quotes": [
      "Our mission is to equip governments with a scientific understanding of the risks posed by advanced AI."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/frontier-ai-trends-report",
     "quotes": [
      "We’ve discovered universal jailbreaks for every single system we’ve tested to date."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog/how-our-new-control-red-team-is-stress-testing-frontier-monitors",
     "quotes": [
      "vulnerabilities in every monitor version we tested"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog",
     "quotes": [
      "blog list read 2026-10-31 (title as listed)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testing",
     "quotes": [
      "What we can say is that the behaviour was possible, sustained, and new; that alone warrants attention."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog/funding-60-projects-to-advance-ai-alignment-research",
     "quotes": [
      "Interest in the Alignment Project’s first funding round was extraordinary."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aisi.gov.uk/blog/partnering-with-microsoft-to-strengthen-frontier-ai-safety",
     "quotes": [
      "Today we’re announcing a new partnership with Microsoft"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2012",
     "name": "Inspect (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2012",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2013",
     "name": "Inspect Evals (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2013",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2014",
     "name": "Inspect Sandboxing Toolkit (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2014",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2015",
     "name": "Inspect Cyber (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2015",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2016",
     "name": "ControlArena (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2016",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2017",
     "name": "RepliBench (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2017",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2018",
     "name": "Inspect Scout (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2018",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2019",
     "name": "Transect (AISI)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2019",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2020",
     "name": "AISI evaluations bounty programme",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2020",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2067",
     "name": "The Alignment Project",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2067",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2068",
     "name": "AISI Challenge Fund",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2068",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: part_of",
     "id": "BIZ-SAFE-2069",
     "name": "AISI Systemic Safety Grants",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2069",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2042",
     "name": "Henry de Zoete",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2042",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2043",
     "name": "Jade Leung",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2043",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2044",
     "name": "Nate Burnikell",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2044",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2045",
     "name": "Chris Summerfield",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2045",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2046",
     "name": "Ian Hogarth",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2046",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2047",
     "name": "Geoffrey Irving",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2047",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2048",
     "name": "Yarin Gal",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2048",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: alumni_of",
     "id": "BIZ-TAL-2049",
     "name": "Oliver (Ollie) Ilott",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2049",
     "page_label": "Talent"
    },
    {
     "kind": "linked from: works_at",
     "id": "BIZ-TAL-2050",
     "name": "Adam Beaumont",
     "page": "talent",
     "href": "../talent/#org=BIZ-TAL-2050",
     "page_label": "Talent"
    }
   ],
   "label_links": [
    {
     "kind": "part_of",
     "name": "Department for Science, Innovation and Technology"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Safety"
  },
  {
   "id": "BIZ-SAFE-2021",
   "name": "Centre for AI Measurement (National Physical Laboratory)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-06-10",
   "status_detail": null,
   "one_line": "New centre at the National Physical Laboratory for measuring AI, launched under the government's digital and technologies sector plan.",
   "description": "[Labs Round 7, 30 Oct 2026] Listed on Labs (AI safety research): (29 Jan 2026; headline says £10m)",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Peter Thompson",
     "role": "Chief Executive, National Physical Laboratory",
     "from": "2026-01-29 (quoted)",
     "source": "https://www.npl.co.uk/news/npl-to-establish-new-centre-for-ai-measurement",
     "round4": true
    },
    {
     "name": "Chris Barnes",
     "role": "Head of Science for AI, NPL",
     "from": "not stated",
     "source": "https://www.npl.co.uk/events/centre-for-ai-measurement-official-launch",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "standards, certification and testing bodies",
   "function": "New centre at the National Physical Laboratory for measuring AI, launched under the government's digital and technologies sector plan.",
   "affiliation": "Assurance",
   "sources": [
    "https://www.gov.uk/government/publications/digital-and-technologies-sector-plan-year-one-update/digital-and-technologies-sector-plan-year-one-update",
    "https://www.uktech.news/ai/national-physical-laboratory-to-establish-10m-ai-measurement-centre-20260129",
    "https://www.npl.co.uk/news/npl-to-establish-new-centre-for-ai-measurement",
    "https://www.npl.co.uk/events/centre-for-ai-measurement-official-launch"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/publications/digital-and-technologies-sector-plan-year-one-update/digital-and-technologies-sector-plan-year-one-update",
     "quotes": [
      "launched the Centre for AI Measurement at the National Physical Laboratory"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/national-physical-laboratory-to-establish-10m-ai-measurement-centre-20260129",
     "quotes": [
      "develop secure approaches to AI assurance"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.npl.co.uk/news/npl-to-establish-new-centre-for-ai-measurement",
     "quotes": [
      "cornerstone of the AI Assurance Innovation Fund"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.npl.co.uk/events/centre-for-ai-measurement-official-launch",
     "quotes": [
      "to improve how AI systems are tested, evaluated, validated, verified and monitored"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "part_of",
     "name": "National Physical Laboratory"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Assurance"
  },
  {
   "id": "BIZ-SAFE-2060",
   "name": "The Alan Turing Institute (AI assurance and security work)",
   "bucket": "org",
   "status": "active",
   "status_date": "2025-03-25",
   "status_detail": null,
   "one_line": "Research institute whose AI work includes the TEA assurance platform, assuring third-party AI for national security, a fairness toolkit and LASR.",
   "description": "[Labs Round 7, 30 Oct 2026] Listed on Labs (Non-profit and independent research labs): (BIZ-LAB-6008) with the Met Office under the AI4NWP partnership launched 2023; Scott Hosking is Mission Director for Environmental Forecasting [Networks and media Round 1, 31 Oct 2026] Alex's Networks and media file (row NM02-04, line 83, as 'The Alan Turing Institute (University & Industry Engagement Network)'): Convenes the Turing University Network (65+ UK universities), Data Study Groups (pairing corporate/government problems with researchers), AI UK national showcase, and BridgeAI scientific advisory. [Labs Round 8, 31 Oct 2026] founded: 2015, as the national institute for data science [Labs Round 8, 31 Oct 2026] founders: Universities of Cambridge, Edinburgh, Oxford, UCL and Warwick, with EPSRC [Labs Round 8, 31 Oct 2026] offices: Headquarters in the British Library, London [Labs Round 8, 31 Oct 2026] funding_total_as_published: Year to 31 March 2024: income £45m (2022-23: £52.5m); expenditure £53m; £20.4m from Research Councils, of which £18.7m from EPSRC; charity number 1162533; chair Dr Douglas Gurr, CEO Dr Jean Innes [Labs Round 8, 31 Oct 2026] status_now: Dr Jean Innes to step down as CEO as the transformation programme ends; the Institute to expand work on defence, national security and sovereign capabilities, plus selected environment and health projects (2025-09-04) [Labs Round 8, 31 Oct 2026] uk_government_links: In July 2025 the then DSIT Secretary of State Peter Kyle wrote to chair Douglas Gurr asking for a refocus; non-defence work to be reoriented to sovereign AI capability (Computer Weekly, article undated, after September 2025) (trade) [Labs Round 8, 31 Oct 2026] news: 2025 (after September; article undated) — new science and innovation programme: closure, spin-out or completion of 78 research projects; new mission to build tools to defend UK critical national infrastructure; board commissioned former RAF commodore Blythe Crawford to advise, recommendations due November (trade) — https://www.computerweekly.com/news/366633598/Alan-Turing-Institute-refocuses-on-security-following-Peter-Kyle-intervention [Labs Round 8, 31 Oct 2026] chief_scientist: Mark Girolami, chief scientist; also described as acting CEO in a later undated article referring to July 2025 (trade) [Labs Round 8, 31 Oct 2026] research_leads: Turing 2.0 directors appointed (early 2024, article undated): Marc Deisenroth (Environment and Sustainability), Andrew Duncan (Fundamental Research), Aldo Faisal (Health), Tim Watson (Defence and National Security); special advisers Jon Crowcroft and Mike Wooldridge (trade; may be superseded by the 2025 restructure) [Labs Round 8, 31 Oct 2026] customers_or_partners: Dstl: AI Research Centre for Defence (ARC-D) launched with Dstl (2022-07-14); AiTASHA explainable-AI project for intelligence analysts, led by Richard Walters of the Turing, £1.25m over 2 years, from the Dstl–EPSRC sandpit (2026-02-16) [Labs Round 8, 31 Oct 2026] models_released: Environmental forecasting models: Aardvark Weather (with University of Cambridge and Microsoft Research, Nature 2025), FastNet (with the Met Office), IceNet (with British Antarctic Survey), DeepSensor software package [Labs Round 8, 31 Oct 2026] Mark Girolami has been acting chief executive since January 2026; the Institute has closed, spun out or completed 78 projects. [Safety Round 1, 31 Oct 2026] Alex's Safety file (line 175, as 'The Alan Turing Institute') co-leads LASR research on adversarial ML, supply-chain security and defence and CNI assurance; also names Dr Victoria Baines (file cites turing.ac.uk).",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Josh Collyer",
     "role": "Principal Security Researcher",
     "from": "2025-02-03",
     "source": "https://www.plexal.com/news/future-ai-security-lasr-lates-london/",
     "round4": true
    },
    {
     "name": "Mark Girolami",
     "role": "Chief scientist; acting CEO (Computer Weekly, undated, after July 2025)",
     "from": null,
     "source": "https://www.computerweekly.com/news/366637589/Alan-Turing-Institute-fellowship-programme-boosted-by-1m-from-Meta",
     "round4": true
    },
    {
     "name": "Douglas Gurr",
     "role": "Chair",
     "from": "— (chair in 2023-24 report and in 2025)",
     "source": "https://www.turing.ac.uk/news/dr-jean-innes-step-down-ceo-alan-turing-institute",
     "round4": true
    },
    {
     "name": "Jean Innes",
     "role": "Chief Executive (step-down announced 2025-09-04)",
     "from": null,
     "source": "https://www.turing.ac.uk/news/dr-jean-innes-step-down-ceo-alan-turing-institute",
     "round4": true
    },
    {
     "name": "Blythe Crawford",
     "role": "Former RAF commodore commissioned by the board to advise on defence and security AI needs",
     "from": "2025",
     "source": "https://www.computerweekly.com/news/366633598/Alan-Turing-Institute-refocuses-on-security-following-Peter-Kyle-intervention",
     "round4": true
    },
    {
     "name": "Richard Walters",
     "role": "Lead, AiTASHA programme",
     "from": "— (as of 2026-02-16)",
     "source": "https://www.gov.uk/government/case-studies/partnering-with-the-epsrc-funds-vital-defence-research",
     "round4": true
    },
    {
     "name": "Doug Gurr",
     "role": "Chair",
     "from": "not stated",
     "source": "https://www.uktech.news/ai/alan-turing-institute-appoints-raf-officer-amid-defence-rebrand-20251029",
     "round4": true
    },
    {
     "name": "Jean Innes",
     "role": "Chief Executive (stepped down end of 2025)",
     "from": "left 2025-12",
     "source": "https://www.uktech.news/ai/ceo-of-britains-national-ai-body-resigns-20250905",
     "round4": true
    },
    {
     "name": "Scott Hosking",
     "role": "Mission Director for Environmental Forecasting",
     "from": "2026-07-08 (quoted)",
     "source": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "safety research organisations",
   "function": "Research institute whose AI work includes the TEA assurance platform, assuring third-party AI for national security, a fairness toolkit and LASR.",
   "affiliation": "Safety",
   "sources": [
    "https://www.gov.uk/ai-assurance-techniques",
    "https://www.gov.uk/government/news/ai-fairness-innovation-challenge-winners-announced",
    "https://www.metoffice.gov.uk/research/approach/modelling-systems/fastnet",
    "https://www.turing.ac.uk/",
    "https://www.turing.ac.uk/about-us",
    "https://www.turing.ac.uk/sites/default/files/2024-08/the-alan-turing-institute-annual-report-2324_sectiontwo.pdf",
    "https://www.turing.ac.uk/news/dr-jean-innes-step-down-ceo-alan-turing-institute",
    "https://www.computerweekly.com/news/366633598/Alan-Turing-Institute-refocuses-on-security-following-Peter-Kyle-intervention",
    "https://www.computerweekly.com/news/366637589/Alan-Turing-Institute-fellowship-programme-boosted-by-1m-from-Meta",
    "https://www.computerweekly.com/news/366570015/Alan-Turing-Institute-hits-key-milestone-in-AI-strategy",
    "https://www.gov.uk/government/case-studies/partnering-with-the-epsrc-funds-vital-defence-research",
    "https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai",
    "https://www.theregister.com/2026/01/22/turing_institute_acting_ceo/",
    "https://www.uktech.news/ai/ceo-of-britains-national-ai-body-resigns-20250905",
    "https://www.uktech.news/ai/alan-turing-institute-appoints-raf-officer-amid-defence-rebrand-20251029",
    "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/ai-assurance-techniques",
     "quotes": [
      "The Alan Turing Institute: Assurance of third-party AI systems for UK national security"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/ai-fairness-innovation-challenge-winners-announced",
     "quotes": [
      "will create a fairness toolkit for SMEs and developers to self-assess and monitor fairness"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.metoffice.gov.uk/research/approach/modelling-systems/fastnet",
     "quotes": [
      "FastNet is a machine learning weather prediction model being developed by the Met Office and The Alan Turing Institute."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.turing.ac.uk/",
     "quotes": [
      "Link given in Alex's Networks and media file, line 83; not re-checked."
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.turing.ac.uk/about-us",
     "quotes": [
      "was created as the national institute for data science in 2015."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.turing.ac.uk/sites/default/files/2024-08/the-alan-turing-institute-annual-report-2324_sectiontwo.pdf",
     "quotes": [
      "Income of £45m (2022-23: £52.5m) has been received during the year."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.turing.ac.uk/news/dr-jean-innes-step-down-ceo-alan-turing-institute",
     "quotes": [
      "unique capabilities are used to deliver high-impact work"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.computerweekly.com/news/366633598/Alan-Turing-Institute-refocuses-on-security-following-Peter-Kyle-intervention",
     "quotes": [
      "strengthen the UK's sovereign AI capabilities"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.computerweekly.com/news/366637589/Alan-Turing-Institute-fellowship-programme-boosted-by-1m-from-Meta",
     "quotes": [
      "acting CEO and chief scientist at the Alan Turing Institute"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.computerweekly.com/news/366570015/Alan-Turing-Institute-hits-key-milestone-in-AI-strategy",
     "quotes": [
      "The Alan Turing Institute has appointed four new directors of science and innovation to its senior scientific leadership team"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/case-studies/partnering-with-the-epsrc-funds-vital-defence-research",
     "quotes": [
      "Richard leads a 2-year, £1.25 million programme called AI Intelligence Triage and Acquisition Support"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai",
     "quotes": [
      "a sovereign medium-range forecasting model for the UK"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.theregister.com/2026/01/22/turing_institute_acting_ceo/",
     "quotes": [
      "(trade) — \"Professor Mark Girolami will be in post as acting CEO before handing over to a new CEO"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/ceo-of-britains-national-ai-body-resigns-20250905",
     "quotes": [
      "(trade) — \"right time for new leadership"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/alan-turing-institute-appoints-raf-officer-amid-defence-rebrand-20251029",
     "quotes": [
      "(trade) — \"making a clear step up on our work in defence and national security"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "quotes": [
      "FastNet represents an exciting advancement in AI weather modelling"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-SAFE-2023",
     "name": "Laboratory for AI Security Research (LASR)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2023",
     "page_label": "Safety"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-SAFE-2022",
     "name": "Deepfake Detection Challenge (Home Office)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2022",
     "page_label": "Safety"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Safety"
  },
  {
   "id": "BIZ-SAFE-2066",
   "name": "ARIA Safeguarded AI programme",
   "bucket": "prog",
   "status": "active",
   "status_date": "2026-09-04",
   "status_detail": null,
   "one_line": "£59m ARIA programme funding safeguarded-AI research: 22 theory projects listed; a cybersecurity call is open until 31 October 2026.",
   "description": "[Labs Round 7, 30 Oct 2026] Listed on Labs (AI safety research) [Labs Round 8, 31 Oct 2026] The 'TA2' strand was cancelled on 28 November 2025 (the programme continues). [Gemini gap Round 1, 31 Oct 2026] ARIA's programme page says Safeguarded AI is backed by £59m and sits within the Trust Everything, Everywhere opportunity space.",
   "uk_status": "uk",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "David \"davidad\" Dalrymple",
     "role": "Programme Director, Safeguarded AI",
     "from": "not stated",
     "source": "https://aria.org.uk/insights-1/ai-progress-and-a-safeguarded-ai-pivot",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Schemes, programmes and AI lines",
   "category": "programmes, tools and partnerships",
   "function": "£59m ARIA programme funding safeguarded-AI research: 22 theory projects listed; a cybersecurity call is open until 31 October 2026.",
   "affiliation": "Safety",
   "sources": [
    "https://aria.org.uk/opportunity-spaces/mathematics-for-safe-ai/safeguarded-ai/funding",
    "https://aria.org.uk/opportunity-spaces/trust-everything-everywhere/safeguarded-ai/funded-projects",
    "https://aria.org.uk/insights-1/ai-progress-and-a-safeguarded-ai-pivot",
    "https://www.aria.org.uk/programme-safeguarded-ai/"
   ],
   "source_quotes": [
    {
     "url": "https://aria.org.uk/opportunity-spaces/mathematics-for-safe-ai/safeguarded-ai/funding",
     "quotes": [
      "We will announce the successful Creators in the coming months."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://aria.org.uk/opportunity-spaces/trust-everything-everywhere/safeguarded-ai/funded-projects",
     "quotes": [
      "Safety: Core representation underlying safeguarded AI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://aria.org.uk/insights-1/ai-progress-and-a-safeguarded-ai-pivot",
     "quotes": [
      "the pace of frontier AI progress has fundamentally altered our path"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.aria.org.uk/programme-safeguarded-ai/",
     "quotes": [
      "Safeguarded AI Backed by £59m, Safeguarded AI sits within the Trust Everything, Everywhere opportunity space"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "linked from: funded_by",
     "id": "BIZ-SAFE-2063",
     "name": "Topos Research UK",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2063",
     "page_label": "Safety"
    },
    {
     "kind": "linked from: funded_by",
     "id": "BIZ-SAFE-2064",
     "name": "Glasgow Lab for AI Verification (GLAIVE)",
     "page": "safety",
     "href": "../safety/#org=BIZ-SAFE-2064",
     "page_label": "Safety"
    }
   ],
   "label_links": [
    {
     "kind": "part_of",
     "name": "Advanced Research and Invention Agency (ARIA)"
    }
   ],
   "degree": 0,
   "related_ids": [],
   "cross_listed_from": "Safety"
  },
  {
   "id": "BIZ-LAB-3001",
   "name": "Recursive Flint",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026 (date not given on page)",
   "status_detail": null,
   "one_line": "Recursive Superintelligence's first public model: a 40-billion-parameter coding model built to run fast on local machines.",
   "description": "Researcher's caveat: single_source (company page; release date not published). Division as written: Frontier and foundation models.",
   "uk_status": "uk_owned",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Recursive Superintelligence's first public model: a 40-billion-parameter coding model built to run fast on local machines.",
   "affiliation": "Labs",
   "sources": [
    "https://www.recursive.com/",
    "https://www.recursive.com/"
   ],
   "source_quotes": [
    {
     "url": "https://www.recursive.com/",
     "quotes": [
      "A 40-billion-parameter mixture-of-experts model for fast, local coding."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recursive.com/",
     "quotes": [
      "Every stage of model-building was shaped by the Eureka Machine's automated research system."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-013"
   ]
  },
  {
   "id": "BIZ-LAB-3002",
   "name": "Faraday (Inherent AI scientist agent)",
   "bucket": "prod",
   "status": "research release",
   "status_date": "2026-08-14",
   "status_detail": null,
   "one_line": "Inherent's AI \"scientist\" agent, trained with reinforcement learning to reproduce the findings of published research papers.",
   "description": "Researcher's caveat: high (primary + trade). Division as written: New labs 2025–26.",
   "uk_status": "uk_owned",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "frontier AI research"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Inherent's AI \"scientist\" agent, trained with reinforcement learning to reproduce the findings of published research papers.",
   "affiliation": "Labs",
   "sources": [
    "https://inherentlabs.ai/research/training-to-replicate",
    "https://techcrunch.com/2026/08/22/inherent-founded-by-deepmind-alumni-says-its-ai-teammate-just-outperformed-anthropic-and-openai-at-replicating-research/"
   ],
   "source_quotes": [
    {
     "url": "https://inherentlabs.ai/research/training-to-replicate",
     "quotes": [
      "Faraday produces more faithful replications for every category of paper in the task suite"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techcrunch.com/2026/08/22/inherent-founded-by-deepmind-alumni-says-its-ai-teammate-just-outperformed-anthropic-and-openai-at-replicating-research/",
     "quotes": [
      "Faraday runs on a comparatively tiny model called Qwen 3.6 that has just 27 billion parameters."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "frontier AI research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research release",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-014"
   ]
  },
  {
   "id": "BIZ-LAB-3003",
   "name": "The Hive (Hiverge algorithm-discovery platform)",
   "bucket": "prod",
   "status": "early access",
   "status_date": "2025-09-17",
   "status_detail": null,
   "one_line": "Hiverge's platform that runs many AI research agents to write, test and improve algorithms against a customer's own metrics.",
   "description": "Researcher's caveat: single_source (company pages only). Division as written: New labs 2025–26.",
   "uk_status": "uk_owned",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "algorithm discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Hiverge's platform that runs many AI research agents to write, test and improve algorithms against a customer's own metrics.",
   "affiliation": "Labs",
   "sources": [
    "https://hiverge.ai/blog/introducing-hiverge-our-mission-and-early-results",
    "https://hiverge.ai/blog/accelerating-ai-training-made-simple"
   ],
   "source_quotes": [
    {
     "url": "https://hiverge.ai/blog/introducing-hiverge-our-mission-and-early-results",
     "quotes": [
      "We're giving early access to the Hive to selected customers."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://hiverge.ai/blog/accelerating-ai-training-made-simple",
     "quotes": [
      "the first time anyone has gone below the 2-second mark"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "algorithm discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "early access",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-016"
   ]
  },
  {
   "id": "BIZ-LAB-3004",
   "name": "AlphaEvolve",
   "bucket": "prod",
   "status": "released (early access for academics)",
   "status_date": "2025-05-14",
   "status_detail": null,
   "one_line": "Google DeepMind's coding agent that uses Gemini models plus automatic checkers to discover and improve algorithms.",
   "description": "Researcher's caveat: high (primary, two pages). Division as written: Frontier and foundation models.",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "algorithm discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's coding agent that uses Gemini models plus automatic checkers to discover and improve algorithms.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/",
    "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/",
     "quotes": [
      "AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/",
     "quotes": [
      "AlphaEvolve - a Gemini-powered coding agent for designing advanced algorithms"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "algorithm discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (early access for academics)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-3005",
   "name": "WeatherNext 3",
   "bucket": "prod",
   "status": "released",
   "status_date": "— (no date on page)",
   "status_detail": null,
   "one_line": "Google DeepMind's AI global weather model, which produces a new forecast every hour and feeds Google Search, Maps and Gemini.",
   "description": "Researcher's caveat: medium (primary; release date and London origin not stated on page). Division as written: Frontier and foundation models.",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's AI global weather model, which produces a new forecast every hour and feeds Google Search, Maps and Gemini.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/science/weathernext/",
    "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/science/weathernext/",
     "quotes": [
      "WeatherNext 3 is the first global weather model that generates forecasts every hour of the day."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/",
     "quotes": [
      "WeatherNext - a family of state-of-the-art weather forecasting models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-3006",
   "name": "Jupiter-N (Locai Labs)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-04",
   "status_detail": null,
   "one_line": "Locai Labs' 120-billion-parameter model: NVIDIA's Nemotron 3 Super re-trained for British context; it powers Locai's GB1 assistant.",
   "description": "Researcher's caveat: high (primary + partner). Division as written: Frontier and foundation models.",
   "uk_status": "uk_owned",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Locai Labs' 120-billion-parameter model: NVIDIA's Nemotron 3 Super re-trained for British context; it powers Locai's GB1 assistant.",
   "affiliation": "Labs",
   "sources": [
    "https://locailabs.com/research",
    "https://www.civo.com/blog/uks-first-sovereign-llms-locai-labs"
   ],
   "source_quotes": [
    {
     "url": "https://locailabs.com/research",
     "quotes": [
      "Post-train of NVIDIA Nemotron 3 Super 120B for British context."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.civo.com/blog/uks-first-sovereign-llms-locai-labs",
     "quotes": [
      "a large-scale, open source model designed with real-world use in mind"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-CLD-001",
     "name": "Civo",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-001",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2008"
   ]
  },
  {
   "id": "BIZ-LAB-3007",
   "name": "Juno-N-Coder-25B (Locai Labs)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-07",
   "status_detail": null,
   "one_line": "Locai Labs' compressed open-source coding model, cut down from NVIDIA Nemotron 3.5 Lightning to run on its Locai 1 office server.",
   "description": "Researcher's caveat: single_source (company pages only). Division as written: Frontier and foundation models.",
   "uk_status": "uk_owned",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Locai Labs' compressed open-source coding model, cut down from NVIDIA Nemotron 3.5 Lightning to run on its Locai 1 office server.",
   "affiliation": "Labs",
   "sources": [
    "https://locailabs.com/research",
    "https://locailabs.com/news/press-release-locai-labs-launches-locai-one-powered-by-nvidia-nemotron-3-5-lightning"
   ],
   "source_quotes": [
    {
     "url": "https://locailabs.com/research",
     "quotes": [
      "Capability-targeted compression of open-weight bases with SPACE."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://locailabs.com/news/press-release-locai-labs-launches-locai-one-powered-by-nvidia-nemotron-3-5-lightning",
     "quotes": [
      "James Drayson: \"we need to make advanced AI models small and efficient enough to run where the data is"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2008"
   ]
  },
  {
   "id": "BIZ-LAB-3008",
   "name": "Lumen Sovereign (Cosine)",
   "bucket": "prod",
   "status": "in training (target late 2026; commercial launch Q1 2027)",
   "status_date": "2026-06-08",
   "status_detail": null,
   "one_line": "Cosine's planned UK-trained frontier model, co-designed with 13 British banks, defence firms and others, to run inside customers' own systems.",
   "description": "Researcher's caveat: high (company + trade). [Labs Round 7, 30 Oct 2026] Latest money (as written): 2026-06-08; compute_grant; 500,000 GH200 GPU-hours; UK Sovereign AI programme (see DEAL-LAB-2035)",
   "uk_status": "uk_owned",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Cosine's planned UK-trained frontier model, co-designed with 13 British banks, defence firms and others, to run inside customers' own systems.",
   "affiliation": "Labs",
   "sources": [
    "https://cosine.sh/lumen-sovereign",
    "https://cosine.sh/blog/building-lumen-sovereign-uk-industry-coalition"
   ],
   "source_quotes": [
    {
     "url": "https://cosine.sh/lumen-sovereign",
     "quotes": [
      "Run the main expert-expansion CPT phase to produce Lumen Sovereign 256K, a 1T parameter intermediate checkpoint with"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://cosine.sh/blog/building-lumen-sovereign-uk-industry-coalition",
     "quotes": [
      "Lumen Sovereign will be trained entirely on UK soil using Isambard-AI\" ; https://www.amlintelligence.com/2026/07/news-hsbc-lloyds-and-natwest-to-develop-uks-first-sovereign-ai-model/ (trade) — \"joined a coalition to help develop what its creator says will be the UK's first sovereign frontier AI model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": "London",
   "status_group": "in training (target late 2026; commercial launch Q1 2027)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "HSBC, Lloyds Banking Group, NatWest Group, BAE Systems, BT, LSEG and others"
    },
    {
     "kind": "buys_from",
     "name": "Isambard-AI"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-3009",
   "name": "ATUM (Lloyds Banking Group transaction foundation model)",
   "bucket": "prod",
   "status": "built",
   "status_date": "2026 (reported 2026-10-13)",
   "status_detail": null,
   "one_line": "Lloyds Banking Group's in-house foundation model that turns billions of banking transactions into reusable AI.",
   "description": "Researcher's caveat: medium (NVIDIA only; Lloyds' own post blocked).",
   "uk_status": "uk_owned",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Lloyds Banking Group's in-house foundation model that turns billions of banking transactions into reusable AI.",
   "affiliation": "Labs",
   "sources": [
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://www.cic.vc/nvidia-announces-new-investments-in-the-uk-startup-ecosystem/"
   ],
   "source_quotes": [
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "Lloyds Banking Group built ATUM, a transaction foundation model that converts billions of banking transactions"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.cic.vc/nvidia-announces-new-investments-in-the-uk-startup-ecosystem/",
     "quotes": [
      "(investor repost of NVIDIA text) — same wording"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "built",
   "ext_links": [
    {
     "kind": "made_by",
     "id": "BIZ-EST-002",
     "name": "Lloyds Banking Group AI programme",
     "page": "established",
     "href": "../established/#org=BIZ-EST-002",
     "page_label": "Established firms"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-3010",
   "name": "PRAGMA (Revolut banking foundation model)",
   "bucket": "prod",
   "status": "scaling in real time (per NVIDIA)",
   "status_date": "2026 (reported 2026-10-13)",
   "status_detail": null,
   "one_line": "Revolut's foundation model for sequences of banking events, trained on anonymised customer histories.",
   "description": "Researcher's caveat: medium (NVIDIA text twice; Revolut page not opened; city left blank as no page read states it).",
   "uk_status": "uk_owned",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Revolut's foundation model for sequences of banking events, trained on anonymised customer histories.",
   "affiliation": "Labs",
   "sources": [
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://www.cic.vc/nvidia-announces-new-investments-in-the-uk-startup-ecosystem/"
   ],
   "source_quotes": [
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "Revolut introduced PRAGMA earlier in the year — a foundation model for banking event sequences,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.cic.vc/nvidia-announces-new-investments-in-the-uk-startup-ecosystem/",
     "quotes": [
      "pre-trained on 26 million anonymised user histories."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "scaling in real time (per NVIDIA)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "made_by",
     "name": "Revolut"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-3011",
   "name": "Starling Bank banking foundation model",
   "bucket": "prod",
   "status": "in development",
   "status_date": "2026-10-13",
   "status_detail": null,
   "one_line": "Starling Bank is building a banking foundation model trained on Civo's UK sovereign cloud.",
   "description": "Researcher's caveat: medium (NVIDIA text twice; Starling's own post blocked).",
   "uk_status": "uk_owned",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Starling Bank is building a banking foundation model trained on Civo's UK sovereign cloud.",
   "affiliation": "Labs",
   "sources": [
    "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
    "https://www.cic.vc/nvidia-announces-new-investments-in-the-uk-startup-ecosystem/"
   ],
   "source_quotes": [
    {
     "url": "https://blogs.nvidia.com/blog/uk-ecosystem-deployment/",
     "quotes": [
      "Starling is developing a banking foundation model trained on Civo's U.K. sovereign cloud infrastructure."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.cic.vc/nvidia-announces-new-investments-in-the-uk-startup-ecosystem/",
     "quotes": [
      "trained on Civo's U.K. sovereign cloud infrastructure."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "in development",
   "ext_links": [
    {
     "kind": "buys_from",
     "id": "BIZ-CLD-001",
     "name": "Civo",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-001",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [
    {
     "kind": "made_by",
     "name": "Starling Bank"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-3012",
   "name": "Google DeepMind UK automated materials science lab",
   "bucket": "site",
   "status": "announced (opening not verified)",
   "status_date": "2025-12-10",
   "status_detail": null,
   "one_line": "Google DeepMind's first automated lab in the UK, announced for 2026, using robots and Gemini to make and test materials.",
   "description": "Researcher's caveat: single_source (primary; whether it has opened is not verified). Division as written: AI for science. [Labs Round 7, 30 Oct 2026] LABS: Google DeepMind's first automated laboratory, planned in the UK for 2026, using robots and Gemini to make and test new materials. [Labs Round 7, 30 Oct 2026] Also recorded as BIZ-LAB-6005 (Google DeepMind automated materials science laboratory (UK); division as written: Corporate research labs): Announced 10 Dec 2025 as part of an expanded Google DeepMind–UK government partnership. Opening planned for 2026. Robots to synthesise and characterise \"hundreds of materials per day\". Built to be fully integrated with Gemini. A multidisciplinary research team will oversee it. UKTN reports work on new superconductor materials for chips. City, site, headcount and budget not published. Opening not confirmed on any page opened.",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "Companies",
   "function": "Google DeepMind's first automated lab in the UK, announced for 2026, using robots and Gemini to make and test materials.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/",
    "https://www.uktech.news/ai/google-deepmind-to-open-automated-lab-in-expanded-uk-partnership-20251211"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/strengthening-our-partnership-with-the-uk-government-to-support-prosperity-and-security-in-the-ai-era/",
     "quotes": [
      "we will establish Google DeepMind's first automated laboratory in the UK in 2026"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/google-deepmind-to-open-automated-lab-in-expanded-uk-partnership-20251211",
     "quotes": [
      "harness technology and robotics to push forward cutting-edge work."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced (opening not verified)",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-2009",
     "name": "Google DeepMind–UK government memorandum of understanding",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-2009",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-2009",
     "name": "Google DeepMind–UK government memorandum of understanding",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-2009",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-3014",
   "name": "Conscium",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-30",
   "status_detail": null,
   "one_line": "London company that tests and verifies AI agents before deployment and runs a long-term research programme on machine consciousness.",
   "description": "Founded: 2024. Founders: Daniel Hulme — founder and chief executive; Ted Lappas — co-founder; Panos Repoussis — co-founder; Ed Charvet — co-founder; Calum Chace — co-founder. Researcher's caveat: medium (company pages + PR release; founding year from the PR release; city from its \"London\" dateline only).",
   "uk_status": "uk_owned",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Daniel Hulme",
     "role": "founder and chief executive",
     "from": "2024",
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Ted Lappas",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Panos Repoussis",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Ed Charvet",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Calum Chace",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Daniel Hulme",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://conscium.com/",
     "round4": true
    },
    {
     "name": "Ted Lappas",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Panos Repoussis",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Ed Charvet",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    },
    {
     "name": "Calum Chace",
     "role": "co-founder",
     "from": null,
     "source": "https://conscium.com/about-us",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "London company that tests and verifies AI agents before deployment and runs a long-term research programme on machine consciousness.",
   "affiliation": "Labs",
   "sources": [
    "https://conscium.com/frontier",
    "https://www.fieldhouseassociates.com/conscium-launches-ground-breaking-ai-agent-verification-platform/",
    "https://conscium.com/",
    "https://conscium.com/about-us"
   ],
   "source_quotes": [
    {
     "url": "https://conscium.com/frontier",
     "quotes": [
      "Frontier is Conscium's long-horizon research programme into machine consciousness."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.fieldhouseassociates.com/conscium-launches-ground-breaking-ai-agent-verification-platform/",
     "quotes": [
      "(company PR agency release) — \"Conscium was founded in 2024 by Daniel Hulme"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://conscium.com/",
     "quotes": [
      "We started Conscium because of a conviction that we cannot safely deploy AI that we do not understand."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://conscium.com/about-us",
     "quotes": [
      "We verify AI agents before deployment - so businesses can adopt autonomous AI with confidence."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-EST-044",
     "name": "Satalia acquisition (WPP)",
     "page": "established",
     "href": "../established/#org=BIZ-EST-044",
     "page_label": "Established firms"
    }
   ],
   "label_links": [
    {
     "kind": "founded_by",
     "name": "Daniel Hulme"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-4001",
   "name": "DaltonTx",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-15",
   "status_detail": null,
   "one_line": "London company building \"Dalton\", an AI decision engine that learns from every experiment to help drug discovery teams design small molecules and antibodies.",
   "description": "Founders: Garry Pairaudeau — co-founder and chief executive; Charlotte Deane — co-founder and chief AI officer; Adrian Rossall — co-founder and chief technology officer; Anthony Bradley — co-founder and chief scientific officer. Researcher's caveat: high. Division as written: AI for science. [Labs Round 7, 30 Oct 2026] Latest money (as written): 2026-10-15; grant; undisclosed; Gates Foundation",
   "uk_status": "uk_hq",
   "company": {
    "legal_name": "— (company number 15844036, registered in England and Wales)"
   },
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Garry Pairaudeau",
     "role": "co-founder and chief executive",
     "from": "2025-09-23 (seed announcement)",
     "source": "https://www.daltontx.com/",
     "round4": true
    },
    {
     "name": "Charlotte Deane (BIZ-TAL-2235)",
     "role": "co-founder and chief AI officer",
     "from": "2025-09-23 (seed announcement)",
     "source": "https://www.daltontx.com/",
     "round4": true
    },
    {
     "name": "Adrian Rossall",
     "role": "co-founder and chief technology officer",
     "from": "2025-09-23 (seed announcement)",
     "source": "https://www.daltontx.com/",
     "round4": true
    },
    {
     "name": "Anthony Bradley",
     "role": "co-founder and chief scientific officer",
     "from": "2025-09-23 (seed announcement)",
     "source": "https://www.daltontx.com/",
     "round4": true
    },
    {
     "name": "Garry Pairaudeau",
     "role": "CEO and co-founder",
     "from": null,
     "source": "https://pharmaphorum.com/news/meet-dalton-new-ai-powered-drug-discovery-platform",
     "round4": true
    },
    {
     "name": "Anthony Bradley",
     "role": "CSO and co-founder",
     "from": null,
     "source": "https://www.bioprocessintl.com/large-molecule-development/daltontx-announces-ai-breakthrough-in-novel-antibody-discovery",
     "round4": true
    },
    {
     "name": "Charlotte Deane",
     "role": "co-founder",
     "from": "2025",
     "source": "https://iqcapital.vc/news/daltontx-raises-ps4-million-seed-financing-to-build-the-intelligence-backbone-of-drug-discovery",
     "round4": true
    },
    {
     "name": "Adrian Rossall",
     "role": "co-founder",
     "from": "2025",
     "source": "https://iqcapital.vc/news/daltontx-raises-ps4-million-seed-financing-to-build-the-intelligence-backbone-of-drug-discovery",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "London company building \"Dalton\", an AI decision engine that learns from every experiment to help drug discovery teams design small molecules and antibodies.",
   "affiliation": "Labs",
   "sources": [
    "https://daltontx.com/news/seed-financing",
    "https://tech.eu/2025/09/23/daltontx-lands-ps4m-to-advance-the-intelligence-backbone-of-drug-discovery/",
    "https://iqcapital.vc/news/daltontx-raises-ps4-million-seed-financing-to-build-the-intelligence-backbone-of-drug-discovery",
    "https://www.redalpine.com/post/daltontx-the-intelligence-backbone-of-modern-drug-discovery",
    "https://pharmaphorum.com/news/meet-dalton-new-ai-powered-drug-discovery-platform",
    "https://www.bioprocessintl.com/large-molecule-development/daltontx-announces-ai-breakthrough-in-novel-antibody-discovery"
   ],
   "source_quotes": [
    {
     "url": "https://daltontx.com/news/seed-financing",
     "quotes": [
      "A self-learning system will always outperform one that doesn't."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2025/09/23/daltontx-lands-ps4m-to-advance-the-intelligence-backbone-of-drug-discovery/",
     "quotes": [
      "UK-based technology company DaltonTx has exited stealth and completed a £4 million seed financing round."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://iqcapital.vc/news/daltontx-raises-ps4-million-seed-financing-to-build-the-intelligence-backbone-of-drug-discovery",
     "quotes": [
      "DaltonTx raises £4m seed financing to build the intelligence backbone of drug discovery"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.redalpine.com/post/daltontx-the-intelligence-backbone-of-modern-drug-discovery",
     "quotes": [
      "DaltonTx isn’t trying to be another AI-driven biotech chasing its own pipeline."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://pharmaphorum.com/news/meet-dalton-new-ai-powered-drug-discovery-platform",
     "quotes": [
      "(trade) — \"Our Dalton drug discovery platform unifies data, models, and experimental results"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.bioprocessintl.com/large-molecule-development/daltontx-announces-ai-breakthrough-in-novel-antibody-discovery",
     "quotes": [
      "(trade) — \"Our work with the University of Oxford focuses on how antibody structure can improve discovery at scale."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2211",
     "name": "Redalpine",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2211",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2143",
     "name": "IQ Capital",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2143",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-202",
     "name": "Seedcamp",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-202",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Gates Foundation"
    },
    {
     "kind": "partner_of",
     "name": "Sygnature Discovery"
    },
    {
     "kind": "partner_of",
     "name": "Bonito Biosciences"
    },
    {
     "kind": "partner_of",
     "name": "Ersilia"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-4002",
   "name": "Tolemy Bio",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-05-12",
   "status_detail": null,
   "one_line": "Cambridge start-up building \"Orbit\", a virtual-cell platform with AI research agents that help scientists read and steer cell behaviour for therapies.",
   "description": "Founders: Alex Ward — co-founder and chief executive; Caelan Anderson — co-founder. Researcher's caveat: medium. Division as written: AI for science. [Labs Round 7, 30 Oct 2026] Latest money (as written): 2026-05-12; funding_round; 1.4m EUR; Norrsken Evolve (lead)",
   "uk_status": "uk_hq",
   "company": null,
   "place": {
    "text": "Cambridge (also Barcelona)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Alex Ward",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://tech.eu/2026/05/12/tolemy-bio-lands-eur14m-to-power-ai-driven-cell-biology/",
     "round4": true
    },
    {
     "name": "Caelan Anderson",
     "role": "co-founder",
     "from": null,
     "source": "https://tech.eu/2026/05/12/tolemy-bio-lands-eur14m-to-power-ai-driven-cell-biology/",
     "round4": true
    },
    {
     "name": "Alex Ward",
     "role": "co-founder and CEO",
     "from": null,
     "source": "https://tolemy.bio/team",
     "round4": true
    },
    {
     "name": "Caelan Anderson",
     "role": "co-founder and CTO",
     "from": null,
     "source": "https://tolemy.bio/team",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Cambridge start-up building \"Orbit\", a virtual-cell platform with AI research agents that help scientists read and steer cell behaviour for therapies.",
   "affiliation": "Labs",
   "sources": [
    "https://tolemy.bio/",
    "https://tech.eu/2026/05/12/tolemy-bio-lands-eur14m-to-power-ai-driven-cell-biology/",
    "https://tolemy.bio/team",
    "https://tolemy.bio/platform",
    "https://mfx.bio/news-press-releases/press-release-mfx-tolemy-aa-2024/"
   ],
   "source_quotes": [
    {
     "url": "https://tolemy.bio/",
     "quotes": [
      "The AI-native virtual cell platform for therapeutic development and manufacture."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tech.eu/2026/05/12/tolemy-bio-lands-eur14m-to-power-ai-driven-cell-biology/",
     "quotes": [
      "Orbit is designed to bring these fragmented workflows into a single AI-native environment."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://tolemy.bio/team",
     "quotes": [
      "At Tolemy, software, physics, systems biology, and wet-lab experimentation come together in one team."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://tolemy.bio/platform",
     "quotes": [
      "The AI-native virtual cell platform for therapeutic development and manufacture."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://mfx.bio/news-press-releases/press-release-mfx-tolemy-aa-2024/",
     "quotes": [
      "an ideal testbed to generate the culture data"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge (also Barcelona)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2172",
     "name": "Masia",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2172",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Norrsken Evolve"
    },
    {
     "kind": "funded_by",
     "name": "Big Sur Ventures"
    },
    {
     "kind": "funded_by",
     "name": "JME Ventures"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-4003",
   "name": "Alchemab Therapeutics",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-07-09",
   "status_detail": null,
   "one_line": "Antibody drug company that combines deep sequencing and AI to find protective antibodies in people who resist disease; its ALS antibody is licensed to Lilly.",
   "description": "Founders: Jane Osbourn — co-founder and chief executive. Division as written: AI for science. [Labs Round 7, 30 Oct 2026] Latest money (as written): 2026-07-09; funding_round; 25,000,000 GBP; British Business Bank",
   "uk_status": "uk_hq",
   "company": null,
   "place": {
    "text": "— (not stated in source)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": null
   },
   "people": [
    {
     "name": "Jane Osbourn",
     "role": "co-founder and chief executive",
     "from": null,
     "source": "https://www.uktech.news/biotech/alchemab-therapeutics-extends-series-a-with-25m-investment-20260709",
     "round4": true
    },
    {
     "name": "Jane Osbourn",
     "role": "Chief Executive Officer",
     "from": "2024-09-12",
     "source": "https://www.alchemab.com/news/",
     "round4": true
    },
    {
     "name": "Ben Porter-Brown",
     "role": "Chief Medical Officer",
     "from": "2026-09-10",
     "source": "https://www.alchemab.com/news/",
     "round4": true
    },
    {
     "name": "Ulrich Wendt",
     "role": "Chief Business Officer",
     "from": "2026-03-20",
     "source": "https://www.alchemab.com/news/",
     "round4": true
    },
    {
     "name": "Kate Bingham",
     "role": "Chair",
     "from": null,
     "source": "https://www.alchemab.com/about/",
     "round4": true
    },
    {
     "name": "Paul Varley",
     "role": "Chief Development Officer",
     "from": null,
     "source": "https://www.alchemab.com/about/",
     "round4": true
    },
    {
     "name": "Kim Long",
     "role": "Vice President of Research",
     "from": null,
     "source": "https://www.alchemab.com/about/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Antibody drug company that combines deep sequencing and AI to find protective antibodies in people who resist disease; its ALS antibody is licensed to Lilly.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/biotech/alchemab-therapeutics-extends-series-a-with-25m-investment-20260709",
    "https://www.alchemab.com/news/",
    "https://www.alchemab.com/about/"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/biotech/alchemab-therapeutics-extends-series-a-with-25m-investment-20260709",
     "quotes": [
      "marking the Bank’s largest investment in a life sciences company to date."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.alchemab.com/news/",
     "quotes": [
      "Deal worth up to $415m including upfront and downstream, plus royalties on top"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.alchemab.com/about/",
     "quotes": [
      "Alchemab has developed a highly differentiated platform which enables the identification of novel drug targets"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "— (not stated in source)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-002",
     "name": "British Business Bank",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-002",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "SV Health Investors"
    },
    {
     "kind": "funded_by",
     "name": "RA Capital"
    },
    {
     "kind": "funded_by",
     "name": "DCVC Bio"
    },
    {
     "kind": "funded_by",
     "name": "Eli Lilly"
    },
    {
     "kind": "funded_by",
     "name": "Lightstone Ventures"
    },
    {
     "kind": "funded_by",
     "name": "Ono Venture Investment"
    },
    {
     "kind": "funded_by",
     "name": "Camford Partners"
    },
    {
     "kind": "partner_of",
     "name": "Eli Lilly"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-4004",
   "name": "Houdini Bio",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-06-22",
   "status_detail": null,
   "one_line": "University of Cambridge spin-out using machine learning to redesign therapeutic DNA so gene and cell therapies stay active longer at lower doses.",
   "description": "Founders: — (not named in source). Division as written: AI for science. [Labs Round 7, 30 Oct 2026] Latest money (as written): 2026-06-22; funding_round; ~1,500,000 GBP (incl. grants); SCVC (lead) [Labs Round 8, 31 Oct 2026] what_it_does: Cambridge university spin-out (founded 2025) using machine learning to design therapeutic DNA sequences that make cell and gene therapies last longer",
   "uk_status": "uk_hq",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Jonathan Cohen-Gold",
     "role": "co-founder and Chief Executive",
     "from": null,
     "source": "https://www.enterprise.cam.ac.uk/?p=38610",
     "round4": true
    },
    {
     "name": "Lee Dunham",
     "role": "co-founder and Chief Business Officer",
     "from": null,
     "source": "https://www.enterprise.cam.ac.uk/?p=38610",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "University of Cambridge spin-out using machine learning to redesign therapeutic DNA so gene and cell therapies stay active longer at lower doses.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/medtech/houdini-bio-secures-1-5m-to-improve-gene-and-cell-therapies-20260622",
    "https://www.uktech.news/funding/uk-tech-funding-roundup-partly-hr-duo-20260626",
    "https://www.enterprise.cam.ac.uk/?p=38610",
    "https://www.thejc.com/news/uk/houdini-british-jewish-start-ai-fix-genes-fatal-diseases-xxdabng8"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/medtech/houdini-bio-secures-1-5m-to-improve-gene-and-cell-therapies-20260622",
     "quotes": [
      "Gene therapies really do represent the future of medicine"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/funding/uk-tech-funding-roundup-partly-hr-duo-20260626",
     "quotes": [
      "city given as Cambridge, £1.5m pre-seed (no verbatim quote captured)"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.enterprise.cam.ac.uk/?p=38610",
     "quotes": [
      "Houdini Bio raises £1.5M to tackle gene therapy durability challenges"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thejc.com/news/uk/houdini-british-jewish-start-ai-fix-genes-fatal-diseases-xxdabng8",
     "quotes": [
      "(trade) — \"Typically, other companies rely on a lot of trial and error."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2227",
     "name": "SCVC (Science Creates)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2227",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2077",
     "name": "Deep Science Ventures",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2077",
     "page_label": "Investors"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2052",
     "name": "Cambridge Enterprise VC",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2052",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Cambridge"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-5001",
   "name": "Waymo (London and Oxford engineering hubs)",
   "bucket": "co",
   "status": "active; London driverless ride-hailing planned, commercial rides not yet available (Waymo UK FAQ)",
   "status_date": "2026-09-24",
   "status_detail": null,
   "one_line": "US self-driving company whose first engineering hubs outside the US are in London and Oxford; it plans driverless taxi rides in London.",
   "description": "Researcher's caveat: medium (primary only; size of UK research team not published). Division as written: Corporate research labs. [Labs Round 7, 30 Oct 2026] Latest money (as written): — (no UK round; local spend \"tens of millions of pounds\", 2026-09-24) [Labs Round 8, 31 Oct 2026] status_now: Supervised autonomous testing on London public roads since April 2026 (about 100 square miles, roughly 100 Jaguar I-Pace cars, safety operator in each); commercial launch depends on UK Government finalising approval [Labs Round 8, 31 Oct 2026] news: 2026-04-14 — London gets closer to its first robotaxi service as Waymo begins testing — https://techcrunch.com/2026/04/14/london-gets-closer-to-its-first-robotaxi-service-as-waymo-begins-testing/ [Labs Round 8, 31 Oct 2026] news: 2025-10-15 — Waymo plans to launch a robotaxi service in London in 2026; Moove to run fleet operations — https://techcrunch.com/2025/10/15/waymo-plans-to-launch-a-robotaxi-service-in-london-in-2026 [Labs Round 8, 31 Oct 2026] research_focus: Oxford hub came from the 2019 acquisition of Latent Logic, an Oxford University computer science spin-out using imitation learning to make self-driving simulation more realistic",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London; Oxford",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Dmitri Dolgov",
     "role": "Co-Chief Executive, Waymo",
     "from": null,
     "source": "https://techcrunch.com/2026/04/14/london-gets-closer-to-its-first-robotaxi-service-as-waymo-begins-testing/",
     "round4": true
    },
    {
     "name": "Tekedra Mawakana",
     "role": "Co-CEO, Waymo",
     "from": "2025-10-15 (quoted)",
     "source": "https://waymo.com/blog/2025/10/hello-london-your-waymo-ride-is-arriving/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "US self-driving company whose first engineering hubs outside the US are in London and Oxford; it plans driverless taxi rides in London.",
   "affiliation": "Labs",
   "sources": [
    "https://waymo.com/blog/2025/10/hello-london-your-waymo-ride-is-arriving/",
    "https://waymo.com/blog/2026/09/visionforlondon/",
    "https://techcrunch.com/2026/04/14/london-gets-closer-to-its-first-robotaxi-service-as-waymo-begins-testing/",
    "https://techcrunch.com/2025/10/15/waymo-plans-to-launch-a-robotaxi-service-in-london-in-2026"
   ],
   "source_quotes": [
    {
     "url": "https://waymo.com/blog/2025/10/hello-london-your-waymo-ride-is-arriving/",
     "quotes": [
      "London and Oxford are home to our first international engineering hubs"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://waymo.com/blog/2026/09/visionforlondon/",
     "quotes": [
      "tens of millions of pounds locally"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://techcrunch.com/2026/04/14/london-gets-closer-to-its-first-robotaxi-service-as-waymo-begins-testing/",
     "quotes": [
      "Autonomous testing now underway with specialists behind the wheel"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://techcrunch.com/2025/10/15/waymo-plans-to-launch-a-robotaxi-service-in-london-in-2026",
     "quotes": [
      "Waymo will start with human safety drivers behind the wheel before it launches driverless testing"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London; Oxford",
   "status_group": "active; London driverless ride-hailing planned, commercial rides not yet available (Waymo UK FAQ)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Moove"
    },
    {
     "kind": "buys_from",
     "name": "Jaguar Land Rover"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-6001",
   "name": "Amazon science teams, London and Cambridge",
   "bucket": "site",
   "status": "active",
   "status_date": "2026-10-30 (page accessed)",
   "status_detail": null,
   "one_line": "Amazon's scientists in London and Cambridge work on machine learning, language, speech and vision for Amazon products such as Alexa and Prime Video.",
   "description": "Founders: Amazon — owner. Researcher's caveat: medium (single_source). [Labs Round 8, 31 Oct 2026] offices: London office at Principal Place, Shoreditch, opened 2017: 15 floors and nearly 5,000 seats (seat count, not headcount) [Labs Round 8, 31 Oct 2026] research_focus: Data science, machine learning, natural language processing, text-to-speech, search, contextual advertising, computer vision, supply chain optimisation, transport logistics, automated reasoning; work on Amazon retail, Prime Video, Alexa, Ring, Halo and Echo Show [Labs Round 8, 31 Oct 2026] research_leads: Emine Yilmaz (UCL professor, Amazon Scholar) leads a London research team in Alexa Shopping Research and Science (2020-10-02)",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London; Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London (Cambridge site: England: East of England)"
   },
   "people": [
    {
     "name": "Emine Yilmaz",
     "role": "Amazon Scholar leading a London research team in Alexa Shopping Research and Science; UCL professor",
     "from": "— (as of 2020-10-02)",
     "source": "https://www.amazon.science/working-at-amazon/emine-yilmaz-an-amazon-scholar-advancing-alexa-voice-shopping",
     "round4": true
    },
    {
     "name": "Emine Yilmaz",
     "role": "UCL professor and Amazon Scholar; leads a London Alexa shopping research team",
     "from": "2020 (current role not checked)",
     "source": "https://www.amazon.science/working-at-amazon/emine-yilmaz-an-amazon-scholar-advancing-alexa-voice-shopping",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Corporate research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "Corporate research labs",
   "function": "Amazon's scientists in London and Cambridge work on machine learning, language, speech and vision for Amazon products such as Alexa and Prime Video.",
   "affiliation": "Labs",
   "sources": [
    "https://www.amazon.science/locations/london-and-cambridge",
    "https://www.amazon.science/working-at-amazon/emine-yilmaz-an-amazon-scholar-advancing-alexa-voice-shopping"
   ],
   "source_quotes": [
    {
     "url": "https://www.amazon.science/locations/london-and-cambridge",
     "quotes": [
      "Research in the London area spans a variety of disciplines, including data science, machine learning"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.amazon.science/working-at-amazon/emine-yilmaz-an-amazon-scholar-advancing-alexa-voice-shopping",
     "quotes": [
      "responsible for improving the Alexa voice shopping experiences"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "London; Cambridge",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-013",
     "name": "Amazon Web Services (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-013",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-6002",
   "name": "Amazon science teams, Edinburgh",
   "bucket": "site",
   "status": "active",
   "status_date": "2026-10-30 (page accessed)",
   "status_detail": null,
   "one_line": "Amazon's Edinburgh scientists build machine-learning systems for Amazon products, from research through to production.",
   "description": "Founders: Amazon — owner. Researcher's caveat: medium (single_source). [Labs Round 8, 31 Oct 2026] research_focus: AI interpretability, computer vision, explainable AI, advertising, recommender systems, deep learning, reinforcement learning; office on the former Theatre Royal / General Post Office site, eight floors",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "Edinburgh",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "Scotland"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Corporate research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "Corporate research labs",
   "function": "Amazon's Edinburgh scientists build machine-learning systems for Amazon products, from research through to production.",
   "affiliation": "Labs",
   "sources": [
    "https://www.amazon.science/locations/edinburgh"
   ],
   "source_quotes": [
    {
     "url": "https://www.amazon.science/locations/edinburgh",
     "quotes": [
      "AI interpretability, computer vision, explainable AI, advertising, recommender systems, deep learning, and reinforcement learning"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "Edinburgh",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "part_of",
     "id": "BIZ-BIG-013",
     "name": "Amazon Web Services (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-013",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-6003",
   "name": "Frontier AI Research Lab (Thomson Reuters and Imperial College London)",
   "bucket": "part",
   "status": "announced",
   "status_date": "2025-12-02",
   "status_detail": null,
   "one_line": "A five-year joint lab at Imperial College London, backed by Thomson Reuters, studying the safety, reliability and abilities of frontier AI.",
   "description": "Founded: 2025. Founders: Thomson Reuters — corporate partner; Imperial College London — academic partner. Researcher's caveat: high. [Labs Round 7, 30 Oct 2026] Latest money (as written): 2025-12-02; partnership; undisclosed; Thomson Reuters [Labs Round 8, 31 Oct 2026] research_leads: Prof. Alessandra Russo (Imperial) — Director; Dr Jonathan Richard Schwarz (Head of AI Research, Thomson Reuters) — Associate Director; Prof. Felix Steffek (University of Cambridge) — Associate Director (2025-12-02) [Labs Round 8, 31 Oct 2026] headcount: Planned to host more than a dozen PhD students alongside TR scientists and Imperial academics; five-year partnership (2025-12-02) [Labs Round 8, 31 Oct 2026] research_focus: Safety and reliability, agentic systems, data-centric machine learning, retrieval and grounding, reasoning and planning, evaluation, human-in-the-loop work, future of work and access to justice; access to Imperial HPC and joint training of large foundation models with TR (2025-12-02) [Labs Round 8, 31 Oct 2026] models_released: Snowdon-1.0-Large and Snowdon-1.1-Small (new record BIZ-LAB-13012); TR's blog calls the lab \"the FAIR Lab at Imperial\"",
   "uk_status": "foreign_with_uk_base (Thomson Reuters) with UK university partner",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Alessandra Russo",
     "role": "Director, Frontier AI Research Lab (Imperial College London)",
     "from": "2025-12-02",
     "source": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "round4": true
    },
    {
     "name": "Felix Steffek",
     "role": "Associate Director, Frontier AI Research Lab (Professor of Law, University of Cambridge)",
     "from": "2025-12-02",
     "source": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "round4": true
    },
    {
     "name": "Alessandra Russo",
     "role": "Director, Frontier AI Research Lab; Professor in Applied Computational Logic, Imperial",
     "from": "2025-12-02",
     "source": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "round4": true
    },
    {
     "name": "Felix Steffek",
     "role": "Associate Director, Frontier AI Research Lab; Professor of Law, University of Cambridge",
     "from": "2025-12-02",
     "source": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "round4": true
    },
    {
     "name": "Alessandra Russo",
     "role": "Lab Director, Frontier AI Research Lab; Professor in Applied Computational Logic, Imperial",
     "from": "2025-12-02",
     "source": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "round4": true
    },
    {
     "name": "Felix Steffek",
     "role": "Lab Associate Director; Professor of Law, University of Cambridge",
     "from": "2025-12-02",
     "source": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Corporate research labs"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Partnerships and contracts",
   "category": "Corporate research labs",
   "function": "A five-year joint lab at Imperial College London, backed by Thomson Reuters, studying the safety, reliability and abilities of frontier AI.",
   "affiliation": "Labs",
   "sources": [
    "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
    "https://www.uktech.news/ai/thomson-reuters-backed-frontier-ai-lab-coming-to-london-20251202",
    "https://www.thomsonreuters.com/content/dam/ewp-m/documents/thomsonreuters/en/pdf/reports/thomson-technical-report.pdf",
    "https://nvidianews.nvidia.com/news/nvidia-commits-250-million-to-advance-uk-agentic-safety-and-security-research-over-the-next-five-years"
   ],
   "source_quotes": [
    {
     "url": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "quotes": [
      "Areas of interest include agentic systems, data-centric machine learning, retrieval and grounding"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/thomson-reuters-backed-frontier-ai-lab-coming-to-london-20251202",
     "quotes": [
      "five-year partnership between Thomson Reuters and Imperial College London"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/content/dam/ewp-m/documents/thomsonreuters/en/pdf/reports/thomson-technical-report.pdf",
     "quotes": [
      "a joint research lab established by Thomson Reuters and Imperial College London"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://nvidianews.nvidia.com/news/nvidia-commits-250-million-to-advance-uk-agentic-safety-and-security-research-over-the-next-five-years",
     "quotes": [
      "The next frontier of artificial intelligence is physical"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "London",
   "status_group": "announced",
   "ext_links": [],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Thomson Reuters"
    },
    {
     "kind": "partner_of",
     "name": "Imperial College London"
    }
   ],
   "degree": 4,
   "related_ids": [
    "BIZ-LAB-13011",
    "BIZ-LAB-13012",
    "BIZ-LAB-6004"
   ]
  },
  {
   "id": "BIZ-LAB-6004",
   "name": "TR Labs Foundational Research, London hub (Thomson Reuters)",
   "bucket": "site",
   "status": "active",
   "status_date": "2025-12-15",
   "status_detail": null,
   "one_line": "Thomson Reuters' model-training research team, built from the London start-up Safe Sign Technologies, with London one of its research hubs.",
   "description": "Founded: 2024 (Safe Sign acquisition). Founders: — (Safe Sign co-founder Jonathan Schwarz now heads the team). Researcher's caveat: medium (both sources from the owner; headcount single_source). [Labs Round 7, 30 Oct 2026] Latest money (as written): 2024; acquisition; undisclosed; Safe Sign Technologies (already known: DEAL-LB-133) [Labs Round 8, 31 Oct 2026] research_leads: Dr Jonathan Schwarz, Head of Foundational Research (ex-Google DeepMind senior researcher, Safe Sign co-founder) (2025-12-12); Alexander Kardos-Nyheim, Senior Director, Thomson Reuters Foundational Research (2026-08-24) [Labs Round 8, 31 Oct 2026] headcount: Safe Sign began as a 15-person start-up and has grown into a 50-person global group inside TR Labs Foundational Research (2025-12-12); London headcount not published [Labs Round 8, 31 Oct 2026] offices: London is one of four research hubs, with Toronto, Zug and Minneapolis (2025-12-11) [Labs Round 8, 31 Oct 2026] models_released: Thomson LLM (Thomson-1.0-Large, 397B; Thomson-1.0-Small, 35B), in production from August 2026 (new record BIZ-LAB-13011) [Labs Round 8, 31 Oct 2026] news: 2025-12-15 — at NeurIPS 2025 Jonathan Schwarz presented two papers: data weighting (training efficiency up to 500%) and efficient evaluation (benchmarking cost down up to 18x) — https://www.thomsonreuters.com/en-us/posts/innovation/from-neurips-2025-how-thomson-reuters-is-advancing-the-frontier-of-ai-research/ [Labs Round 8, 31 Oct 2026] news: 2026-09-16 — TR CEO Steve Hasker and Alexander Kardos-Nyheim describe the US$40m Thomson model; trained on under 10% of TR proprietary content so far; can run behind a customer's firewall — https://www.thomsonreuters.com/en-us/blog/what-a-40-million-model-says-about-where-enterprise-ai-is-actually-headed/ [Labs Round 8, 31 Oct 2026] what_it_does: TR Labs research areas: drafting, evaluation, LLM training, information retrieval, agentic AI, document understanding; TR has had a formal applied R&D group since 1992",
   "uk_status": "foreign_with_uk_base",
   "company": null,
   "place": {
    "text": "London (one of four hubs)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Jonathan Richard Schwarz",
     "role": "Head of Foundational Research, TR Labs; Head of AI Research, Thomson Reuters; Associate Director, Frontier AI Research Lab; Visiting Professor, Imperial",
     "from": "as at 2025-12-02",
     "source": "https://www.thomsonreuters.com/en/press-releases/2025/december/thomson-reuters-and-imperial-college-london-announce-new-frontier-ai-lab",
     "round4": true
    },
    {
     "name": "Joel Hron",
     "role": "Chief Technology Officer, Thomson Reuters",
     "from": "as at 2025-12-12",
     "source": "https://www.thomsonreuters.com/en-us/posts/innovation/from-startup-vision-to-ai-breakthrough-one-year-with-safe-sign/",
     "round4": true
    },
    {
     "name": "Jonathan Richard Schwarz",
     "role": "Head of Foundational Research / Head of AI Research, Thomson Reuters; Associate Director, Frontier AI Research Lab; Thomson project lead",
     "from": null,
     "source": "https://www.thomsonreuters.com/en-us/posts/innovation/from-startup-vision-to-ai-breakthrough-one-year-with-safe-sign/",
     "round4": true
    },
    {
     "name": "Alexander Kardos-Nyheim",
     "role": "Senior Director, Thomson Reuters Foundational Research; former Founder & CEO, Safe Sign Technologies",
     "from": null,
     "source": "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/",
     "round4": true
    },
    {
     "name": "Jonathan Schwarz",
     "role": "Head of AI Research / Head of Foundational Research, Thomson Reuters; co-founder of Safe Sign; Lab Associate Director, Frontier AI Research Lab",
     "from": "2024 (acquisition)",
     "source": "https://www.thomsonreuters.com/en-us/posts/innovation/from-startup-vision-to-ai-breakthrough-one-year-with-safe-sign/",
     "round4": true
    },
    {
     "name": "Joel Hron",
     "role": "Chief Technology Officer, Thomson Reuters",
     "from": "not stated",
     "source": "https://www.thomsonreuters.com/en-us/posts/innovation/thomson-reuters-built-its-own-ai-model-that-now-ranks-among-the-worlds-best/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Corporate research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Data centres and compute sites",
   "category": "Corporate research labs",
   "function": "Thomson Reuters' model-training research team, built from the London start-up Safe Sign Technologies, with London one of its research hubs.",
   "affiliation": "Labs",
   "sources": [
    "https://www.thomsonreuters.com/en-us/posts/innovation/from-neurips-2025-how-thomson-reuters-is-advancing-the-frontier-of-ai-research/",
    "https://www.thomsonreuters.com/en-us/posts/innovation/from-startup-vision-to-ai-breakthrough-one-year-with-safe-sign/",
    "https://www.thomsonreuters.com/en-us/posts/our-purpose/thomson-reuters-neurips-2025-highlights/",
    "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/",
    "https://www.thomsonreuters.com/en-us/blog/what-a-40-million-model-says-about-where-enterprise-ai-is-actually-headed/",
    "https://thomsonreuters.com/en/artificial-intelligence/foundational-machine-learning.html",
    "https://www.thomsonreuters.com/en-us/posts/innovation/thomson-reuters-built-its-own-ai-model-that-now-ranks-among-the-worlds-best/"
   ],
   "source_quotes": [
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/from-neurips-2025-how-thomson-reuters-is-advancing-the-frontier-of-ai-research/",
     "quotes": [
      "growing research hubs in London, Toronto, Zug and Minneapolis."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/from-startup-vision-to-ai-breakthrough-one-year-with-safe-sign/",
     "quotes": [
      "What began as a 15-person startup has grown into a 50-person global group"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/our-purpose/thomson-reuters-neurips-2025-highlights/",
     "quotes": [
      "joining our research hubs in London, Toronto, Zug, and Minneapolis"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/",
     "quotes": [
      "Thomson enters production this month powering CoCounsel skills"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/blog/what-a-40-million-model-says-about-where-enterprise-ai-is-actually-headed/",
     "quotes": [
      "the source of their competitive advantage"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://thomsonreuters.com/en/artificial-intelligence/foundational-machine-learning.html",
     "quotes": [
      "global research and development division"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/thomson-reuters-built-its-own-ai-model-that-now-ranks-among-the-worlds-best/",
     "quotes": [
      "Thomson will become the default model powering Tabular Analysis"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "London (one of four hubs)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "part_of",
     "name": "Thomson Reuters"
    }
   ],
   "degree": 3,
   "related_ids": [
    "BIZ-LAB-13011",
    "BIZ-LAB-6003"
   ]
  },
  {
   "id": "BIZ-LAB-6006",
   "name": "Fundamental AI Research Lab (DSIT and UKRI)",
   "bucket": "prog",
   "status": "call closed; award pending",
   "status_date": "2026-10-31",
   "status_detail": null,
   "one_line": "A government-funded UK lab for long-term, high-risk research into the basic flaws of AI, chosen through a UKRI funding call.",
   "description": "Founded: 2026. Founders: Department for Science, Innovation and Technology; UK Research and Innovation (EPSRC) — funders. Researcher's caveat: high. [Labs Round 7, 30 Oct 2026] Latest money (as written): 2026-03-04; government_contract (grant call); up to 40,000,000 GBP; DSIT and UKRI [Labs Round 8, 31 Oct 2026] status_now: Call closed 31 Mar 2026; interviews 16–17 Apr 2026; stated lab start 1 May 2026; stage-gate outcomes aimed for early Feb 2027; one award only; no winning consortium named on the UKRI page as read 31 Oct 2026 [Labs Round 8, 31 Oct 2026] funding_total_as_published: Up to £40m in stages over six years: initial 18-month research grant up to £7.5m full economic cost (EPSRC pays 80%); training grant up to £1.9m for at least 10 doctoral students; up to 2 million GPU hours a year of AIRR compute [Labs Round 8, 31 Oct 2026] research_focus: Novel fundamental AI not pursued by commercial labs; trade report names hallucinations, unreliable memory and unpredictable reasoning [Labs Round 8, 31 Oct 2026] uk_government_links: Funded by UKRI (EPSRC) with DSIT; AIRR compute; peer review panel chaired by Raia Hadsell (Google DeepMind VP of Research; DSIT AI Ambassador) [Labs Round 8, 31 Oct 2026] news: 2026-03-04 — UK launches £40m \"Moonshot\" AI lab to challenge the US and China — https://capacityglobal.com/news/uk-launches-40m-moonshot-ai-lab-to-challenge-the-us-and-china/ [Labs Round 8, 31 Oct 2026] UKRI's page names no winner as at 31 October 2026: call closed; award pending. The £60m UKRI-EPSRC award of 23 June 2026 to the SOFAIR lab (UCL) and the BOLD lab (Oxford) is not linked to this call by any page.",
   "uk_status": "uk_public",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Raia Hadsell",
     "role": "Chair of the assessment panel; VP of Research, Google DeepMind; DSIT AI ambassador",
     "from": "2026-03-04",
     "source": "https://www.gov.uk/government/news/government-to-create-new-lab-to-keep-uk-in-the-fast-lane-on-ai-breakthroughs",
     "round4": true
    },
    {
     "name": "Raia Hadsell",
     "role": "Chair of the peer review panel (Google DeepMind VP of Research; DSIT AI Ambassador)",
     "from": "Mar 2026",
     "source": "https://capacityglobal.com/news/uk-launches-40m-moonshot-ai-lab-to-challenge-the-us-and-china/",
     "round4": true
    },
    {
     "name": "David Barber",
     "role": "Leads SOFAIR Lab (UCL)",
     "from": "2026-06-23",
     "source": "https://www.ucl.ac.uk/news/2026/jun/national-research-lab-based-ucl-will-make-ai-more-accessible",
     "round4": true
    },
    {
     "name": "Jakob Foerster",
     "role": "Leads BOLD Lab (Oxford); founding director",
     "from": "2026-06-23",
     "source": "https://www.uktech.news/ai/uk-backs-new-ai-research-labs-in-oxford-and-london-with-60m-20260623",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "New labs 2025–26"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Schemes, programmes and AI lines",
   "category": "New labs 2025–26",
   "function": "A government-funded UK lab for long-term, high-risk research into the basic flaws of AI, chosen through a UKRI funding call.",
   "affiliation": "Labs",
   "sources": [
    "https://www.gov.uk/government/news/government-to-create-new-lab-to-keep-uk-in-the-fast-lane-on-ai-breakthroughs",
    "https://www.uktech.news/ai/uk-government-to-launch-new-40m-ai-research-lab-20260304",
    "https://www.ukri.org/opportunity/fundamental-ai-research-lab/",
    "https://capacityglobal.com/news/uk-launches-40m-moonshot-ai-lab-to-challenge-the-us-and-china/",
    "https://www.uktech.news/ai/uk-backs-new-ai-research-labs-in-oxford-and-london-with-60m-20260623",
    "https://www.ucl.ac.uk/news/2026/jun/national-research-lab-based-ucl-will-make-ai-more-accessible",
    "https://nvidianews.nvidia.com/news/nvidia-commits-250-million-to-advance-uk-agentic-safety-and-security-research-over-the-next-five-years"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/government-to-create-new-lab-to-keep-uk-in-the-fast-lane-on-ai-breakthroughs",
     "quotes": [
      "up to £40 million will be made available over 6 years for the Fundamental AI"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/uk-government-to-launch-new-40m-ai-research-lab-20260304",
     "quotes": [
      "The British government is launching a new UK AI research lab backed by up to £40m."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.ukri.org/opportunity/fundamental-ai-research-lab/",
     "quotes": [
      "This is expected to be a highly competitive process which will make a single award."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://capacityglobal.com/news/uk-launches-40m-moonshot-ai-lab-to-challenge-the-us-and-china/",
     "quotes": [
      "chaired by Raia Hadsell, Vice President of Research at Google DeepMind and a DSIT AI Ambassador."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/uk-backs-new-ai-research-labs-in-oxford-and-london-with-60m-20260623",
     "quotes": [
      "(trade) — \"These labs will put that advantage to work, backing the bold, high-reward ideas"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ucl.ac.uk/news/2026/jun/national-research-lab-based-ucl-will-make-ai-more-accessible",
     "quotes": [
      "This will reduce dependency on the small number of model providers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://nvidianews.nvidia.com/news/nvidia-commits-250-million-to-advance-uk-agentic-safety-and-security-research-over-the-next-five-years",
     "quotes": [
      "AI safety as an afterthought is no longer appropriate for the open-ended, evolving world,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "New labs 2025–26",
     "div": "new-labs-2025-26"
    }
   ],
   "div_label": "New labs 2025–26",
   "location": null,
   "status_group": "call closed; award pending",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-CLD-016",
     "name": "AI Research Resource (AIRR)",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-016",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "DSIT"
    },
    {
     "kind": "funded_by",
     "name": "UKRI (EPSRC)"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-6007",
   "name": "Met Office AI research (National Capability AI Programme)",
   "bucket": "prog",
   "status": "active",
   "status_date": "2026-02-04",
   "status_detail": null,
   "one_line": "The UK's national weather service runs an AI research programme to test machine-learning weather and climate forecasting beside its physics models.",
   "description": "Researcher's caveat: medium (both sources from the Met Office). Division as written: Non-profit and independent research labs. [Labs Round 8, 31 Oct 2026] models_released: DGMR precipitation nowcasting model written with Google DeepMind (Nature, 29–30 Sep 2021); more than 50 Met Office meteorologists rated it first choice in 89% of cases",
   "uk_status": "uk_public",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Kirstine Dale",
     "role": "Met Office Chief AI Officer",
     "from": "as at 2026-07-08",
     "source": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "round4": true
    },
    {
     "name": "Kirstine Dale",
     "role": "Chief AI Officer",
     "from": "2026-07-08 (quoted)",
     "source": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "round4": true
    },
    {
     "name": "Tom Dunstan",
     "role": "Manager, Data Science for Simulation, Dynamics Research",
     "from": "2026-07-08 (quoted)",
     "source": null,
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Schemes, programmes and AI lines",
   "category": "Companies",
   "function": "The UK's national weather service runs an AI research programme to test machine-learning weather and climate forecasting beside its physics models.",
   "affiliation": "Labs",
   "sources": [
    "https://www.metoffice.gov.uk/blog/2026/how-does-the-met-office-use-ai",
    "https://www.metoffice.gov.uk/research/approach/collaboration/artificial-intelligence-for-numerical-weather-prediction",
    "https://deepmind.google/blog/nowcasting-the-next-hour-of-rain/",
    "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-"
   ],
   "source_quotes": [
    {
     "url": "https://www.metoffice.gov.uk/blog/2026/how-does-the-met-office-use-ai",
     "quotes": [
      "Through our National Capability AI Programme (NCAIP) and wider research and development efforts"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.metoffice.gov.uk/research/approach/collaboration/artificial-intelligence-for-numerical-weather-prediction",
     "quotes": [
      "In 2023 the Met Office and The Alan Turing Institute launched"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/nowcasting-the-next-hour-of-rain/",
     "quotes": [
      "Past 20 mins of observed radar are used to provide probabilistic predictions for the next 90 mins"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "quotes": [
      "FastNet also improves the modelling of extreme weather, where sharp gradients matter most."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "see",
     "id": "BIZ-CLD-2029",
     "name": "Met Office supercomputer (Microsoft Azure-based)",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-2029",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "DSIT (AI4Climate)"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-14027",
    "BIZ-LAB-6008"
   ]
  },
  {
   "id": "BIZ-LAB-6008",
   "name": "FastNet (Met Office and Alan Turing Institute)",
   "bucket": "prod",
   "status": "in development (not operational)",
   "status_date": "2026-07-08",
   "status_detail": null,
   "one_line": "A machine-learning weather model built by the Met Office and the Alan Turing Institute to forecast global weather up to two weeks ahead.",
   "description": "Founders: Met Office; The Alan Turing Institute — co-developers. Researcher's caveat: high. Division as written: Non-profit and independent research labs.",
   "uk_status": "uk_public / uk_non_profit",
   "company": null,
   "place": null,
   "people": [
    {
     "name": "Tom Dunstan",
     "role": "Met Office Manager, Data Science for Simulation, Dynamics Research",
     "from": "as at 2026-07-08",
     "source": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "round4": true
    },
    {
     "name": "Scott Hosking",
     "role": "Mission Director for Environmental Forecasting, Alan Turing Institute",
     "from": "as at 2026-07-08",
     "source": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A machine-learning weather model built by the Met Office and the Alan Turing Institute to forecast global weather up to two weeks ahead.",
   "affiliation": "Labs",
   "sources": [
    "https://www.metoffice.gov.uk/research/approach/modelling-systems/fastnet",
    "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-"
   ],
   "source_quotes": [
    {
     "url": "https://www.metoffice.gov.uk/research/approach/modelling-systems/fastnet",
     "quotes": [
      "FastNet is a machine learning weather prediction model being developed by the Met Office and The Alan Turing Institute."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2026/new-research-shows-ai-can-produce-trustworthy-physically-realistic-weather-forecasts-",
     "quotes": [
      "The FastNet model is already demonstrating accuracy that is comparable to the Met Office's Global Model,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "in development (not operational)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-6007"
   ]
  },
  {
   "id": "BIZ-LAB-6009",
   "name": "EMBL-EBI AI and machine learning",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-03-16",
   "status_detail": null,
   "one_line": "Europe's bioinformatics institute prepares AI-ready biological data, builds AI tools and runs the AlphaFold Database with Google DeepMind.",
   "description": "Researcher's caveat: medium (both sources from EMBL-EBI). Division as written: Non-profit and independent research labs.",
   "uk_status": "foreign_with_uk_base (EMBL, intergovernmental)",
   "company": null,
   "place": {
    "text": "— (Hinxton named in the task brief; not stated on pages opened)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": null
   },
   "people": [
    {
     "name": "Jo McEntyre",
     "role": "Interim Director of EMBL-EBI",
     "from": "as at 2026-03-16",
     "source": "https://www.ebi.ac.uk/about/news/technology-and-innovation/first-complexes-alphafold-database/",
     "round4": true
    },
    {
     "name": "Sameer Velankar",
     "role": "Team Leader, EMBL-EBI",
     "from": "as at 2026-10-30",
     "source": "https://www.ebi.ac.uk/about/our-impact/ai-and-machine-learning/",
     "round4": true
    },
    {
     "name": "Jo McEntyre",
     "role": "Interim Director, EMBL-EBI",
     "from": "2026-03-16 (quoted)",
     "source": "https://www.ebi.ac.uk/about/news/technology-and-innovation/first-complexes-alphafold-database/",
     "round4": true
    },
    {
     "name": "Sameer Velankar",
     "role": "Team Leader",
     "from": "not stated",
     "source": "https://www.ebi.ac.uk/about/our-impact/ai-and-machine-learning/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Companies",
   "function": "Europe's bioinformatics institute prepares AI-ready biological data, builds AI tools and runs the AlphaFold Database with Google DeepMind.",
   "affiliation": "Labs",
   "sources": [
    "https://www.ebi.ac.uk/about/our-impact/ai-and-machine-learning/",
    "https://www.ebi.ac.uk/about/news/tag/artificial-intelligence/",
    "https://www.ebi.ac.uk/about/news/technology-and-innovation/first-complexes-alphafold-database/"
   ],
   "source_quotes": [
    {
     "url": "https://www.ebi.ac.uk/about/our-impact/ai-and-machine-learning/",
     "quotes": [
      "helping to define the role of artificial intelligence (AI) and machine learning in the life sciences."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ebi.ac.uk/about/news/tag/artificial-intelligence/",
     "quotes": [
      "BioAIrepo: EMBL-EBI's hub for life science AI models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ebi.ac.uk/about/news/technology-and-innovation/first-complexes-alphafold-database/",
     "quotes": [
      "Science thrives on collaboration,"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "— (Hinxton named in the task brief; not stated on pages opened)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "funded_by",
     "id": "BIZ-INV-069",
     "name": "Wellcome Trust (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-069",
     "page_label": "Investors"
    }
   ],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-6010"
   ]
  },
  {
   "id": "BIZ-LAB-6010",
   "name": "AlphaFold Protein Structure Database",
   "bucket": "prod",
   "status": "active",
   "status_date": "2026-05-19",
   "status_detail": null,
   "one_line": "A free public database of AI-predicted protein structures, made by Google DeepMind's AlphaFold and run with EMBL-EBI.",
   "description": "Founders: Google DeepMind; EMBL-EBI — partners. Researcher's caveat: high. Division as written: AI for science. [Labs Round 8, 31 Oct 2026] news: 2025-11-25 — AlphaFold: Five Years of Impact — AlphaFold DB used by over 3 million researchers in more than 190 countries (over 1 million in low- and middle-income countries); AlphaFold cited in more than 35,000 papers; AlphaFold Server has produced more than 8 million folds — https://deepmind.google/blog/alphafold-five-years-of-impact/",
   "uk_status": "foreign_with_uk_base (EMBL) with UK-based Google DeepMind",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A free public database of AI-predicted protein structures, made by Google DeepMind's AlphaFold and run with EMBL-EBI.",
   "affiliation": "Labs",
   "sources": [
    "https://alphafold.ebi.ac.uk/about",
    "https://www.ebi.ac.uk/about/news/technology-and-innovation/first-complexes-alphafold-database/",
    "https://deepmind.google/blog/alphafold-five-years-of-impact/"
   ],
   "source_quotes": [
    {
     "url": "https://alphafold.ebi.ac.uk/about",
     "quotes": [
      "we've released over 200 million protein structure predictions by AlphaFold"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ebi.ac.uk/about/news/technology-and-innovation/first-complexes-alphafold-database/",
     "quotes": [
      "The database has over 3.4 million users from 190 countries."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/alphafold-five-years-of-impact/",
     "quotes": [
      "is empowering non-commercial researchers globally to harness this technology."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-6009"
   ]
  },
  {
   "id": "BIZ-LAB-7001",
   "name": "AlphaGo Zero",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2017-10-18",
   "status_detail": null,
   "one_line": "A Go-playing system that taught itself the game from random moves by playing against itself, with no human game records.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Go-playing system that taught itself the game from random moves by playing against itself, with no human game records.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphago-zero-starting-from-scratch/",
    "https://deepmind.google/blog/page/17/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphago-zero-starting-from-scratch/",
     "quotes": [
      "The paper introduces AlphaGo Zero, the latest evolution of AlphaGo."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/17/",
     "quotes": [
      "AlphaGo Zero: Starting from scratch\" (index, October 2017)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7002",
   "name": "AlphaZero",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2018-12-06",
   "status_detail": null,
   "one_line": "One learning system that teaches itself chess, shogi and Go from the rules alone, by playing against itself.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "One learning system that teaches itself chess, shogi and Go from the rules alone, by playing against itself.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphazero-shedding-new-light-on-chess-shogi-and-go/",
    "https://deepmind.google/blog/page/16"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphazero-shedding-new-light-on-chess-shogi-and-go/",
     "quotes": [
      "AlphaZero takes a totally different approach, replacing these hand-crafted rules with a deep neural network."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/16",
     "quotes": [
      "AlphaZero: Shedding new light on chess, shogi, and Go\" (index, December 2018)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7003",
   "name": "AlphaFold (first version, CASP13)",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2018-12-02",
   "status_detail": null,
   "one_line": "The first AlphaFold, which predicts a protein's 3D shape from its sequence; it ranked first at the CASP13 benchmark in 2018.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The first AlphaFold, which predicts a protein's 3D shape from its sequence; it ranked first at the CASP13 benchmark in 2018.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/science/alphafold/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/science/alphafold/",
     "quotes": [
      "AlphaFold places first at CASP13."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7004",
   "name": "AlphaStar",
   "bucket": "prod",
   "status": "released (research result)",
   "status_date": "2019-01-24",
   "status_detail": null,
   "one_line": "An AI program that plays the full real-time strategy game StarCraft II and beat top professional players.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI program that plays the full real-time strategy game StarCraft II and beat top professional players.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphastar-mastering-the-real-time-strategy-game-starcraft-ii/",
    "https://deepmind.google/blog/page/15/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphastar-mastering-the-real-time-strategy-game-starcraft-ii/",
     "quotes": [
      "Now, we introduce our StarCraft II program AlphaStar, the first Artificial Intelligence to defeat a top professional player."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/15/",
     "quotes": [
      "AlphaStar: Mastering the real-time strategy game StarCraft II\" (index, January 2019)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (research result)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7005",
   "name": "AlphaFold2",
   "bucket": "prod",
   "status": "released (open code)",
   "status_date": "2020-11-30",
   "status_detail": null,
   "one_line": "The second AlphaFold, which predicts protein shapes close to lab-measured accuracy; organisers called it a solution to protein folding.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The second AlphaFold, which predicts protein shapes close to lab-measured accuracy; organisers called it a solution to protein folding.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology/",
    "https://deepmind.google/science/alphafold/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology/",
     "quotes": [
      "the latest version of our AI system AlphaFold has been recognised as a solution to this grand challenge"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/science/alphafold/",
     "quotes": [
      "AlphaFold's methodology is published in Nature."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open code)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7006",
   "name": "MuZero",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2020-12-23",
   "status_detail": null,
   "one_line": "A game-playing system that learns its own model of a game and plans with it, without being told the rules.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A game-playing system that learns its own model of a game and plans with it, without being told the rules.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/muzero-mastering-go-chess-shogi-and-atari-without-rules/",
    "https://deepmind.google/blog/page/12"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/muzero-mastering-go-chess-shogi-and-atari-without-rules/",
     "quotes": [
      "MuZero masters Go, chess, shogi and Atari without needing to be told the rules"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/12",
     "quotes": [
      "MuZero's first step from research into the real world\" (index, February 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7008",
   "name": "Gopher",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2021-12-08",
   "status_detail": null,
   "one_line": "A 280-billion-parameter language model that DeepMind used to study scale, risks and retrieval.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A 280-billion-parameter language model that DeepMind used to study scale, risks and retrieval.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/",
    "https://deepmind.google/blog/page/13"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/",
     "quotes": [
      "In our research, we found the capabilities of Gopher exceed existing language models for a number of key tasks."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/13",
     "quotes": [
      "Language modelling at scale: Gopher, ethical considerations, and retrieval\" (index, December 2021)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7009",
   "name": "AlphaCode",
   "bucket": "prod",
   "status": "released (paper and dataset)",
   "status_date": "2022-02-02",
   "status_detail": null,
   "one_line": "A system that writes computer programs for programming contests by generating many candidates and filtering them.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A system that writes computer programs for programming contests by generating many candidates and filtering them.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/competitive-programming-with-alphacode/",
    "https://deepmind.google/blog/page/10/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/competitive-programming-with-alphacode/",
     "quotes": [
      "AlphaCode placed at about the level of the median competitor."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/10/",
     "quotes": [
      "Competitive programming with AlphaCode\" (index, December 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper and dataset)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7010",
   "name": "Chinchilla",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2022-04-12",
   "status_detail": null,
   "one_line": "A 70-billion-parameter language model that showed training on more data can beat simply adding parameters.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A 70-billion-parameter language model that showed training on more data can beat simply adding parameters.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/an-empirical-analysis-of-compute-optimal-large-language-model-training/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/an-empirical-analysis-of-compute-optimal-large-language-model-training/",
     "quotes": [
      "We test our data scaling hypothesis by training Chinchilla, a 70-billion parameter model trained for 1.3 trillion tokens."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7011",
   "name": "Flamingo",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2022-04-28",
   "status_detail": null,
   "one_line": "A single model that reads images, video and text together and learns new tasks from a few examples.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A single model that reads images, video and text together and learns new tasks from a few examples.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/tackling-multiple-tasks-with-a-single-visual-language-model/",
    "https://deepmind.google/blog/page/12"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/tackling-multiple-tasks-with-a-single-visual-language-model/",
     "quotes": [
      "In practice, Flamingo fuses large language models with powerful visual representations"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/12",
     "quotes": [
      "Tackling multiple tasks with a single visual language model\" (index, April 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7012",
   "name": "Gato",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2022-05-12",
   "status_detail": null,
   "one_line": "One neural network with one set of weights that plays games, captions images, chats and controls a robot arm.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "One neural network with one set of weights that plays games, captions images, chats and controls a robot arm.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/a-generalist-agent/",
    "https://deepmind.google/blog/page/12"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/a-generalist-agent/",
     "quotes": [
      "The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/12",
     "quotes": [
      "A Generalist Agent\" (index, May 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7013",
   "name": "AlphaTensor",
   "bucket": "prod",
   "status": "released (paper and code)",
   "status_date": "2022-10-05",
   "status_detail": null,
   "one_line": "An AI system that searches for faster ways to do matrix multiplication and checks they are correct.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "algorithm discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI system that searches for faster ways to do matrix multiplication and checks they are correct.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/discovering-novel-algorithms-with-alphatensor/",
    "https://deepmind.google/blog/page/10/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/discovering-novel-algorithms-with-alphatensor/",
     "quotes": [
      "Our system, AlphaTensor, builds upon AlphaZero, an agent that has shown superhuman performance on board games"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/10/",
     "quotes": [
      "Discovering novel algorithms with AlphaTensor\" (index, October 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "algorithm discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper and code)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7014",
   "name": "GraphCast",
   "bucket": "prod",
   "status": "released (open code)",
   "status_date": "2023-11-14",
   "status_detail": null,
   "one_line": "An AI weather model that makes 10-day global forecasts in under a minute.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI weather model that makes 10-day global forecasts in under a minute.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/",
     "quotes": [
      "GraphCast can also offer earlier warnings of extreme weather events."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "GraphCast: AI model for faster and more accurate global weather forecasting\" (index, November 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open code)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7015",
   "name": "GNoME (Graph Networks for Materials Exploration)",
   "bucket": "prod",
   "status": "released (paper and data)",
   "status_date": "2023-11-29",
   "status_detail": null,
   "one_line": "A deep-learning tool that predicts which new crystal materials are stable.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A deep-learning tool that predicts which new crystal materials are stable.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/millions-of-new-materials-discovered-with-deep-learning/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/millions-of-new-materials-discovered-with-deep-learning/",
     "quotes": [
      "GNoME shows the potential of using AI to discover and develop new materials at scale."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "Millions of new materials discovered with deep learning\" (index, November 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper and data)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7016",
   "name": "AlphaFold 3 and AlphaFold Server",
   "bucket": "prod",
   "status": "released (free server; code and weights for academic use)",
   "status_date": "2024-05-08",
   "status_detail": null,
   "one_line": "The third AlphaFold, which predicts the structures and interactions of proteins and other molecules, offered through a free web server.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models. [Labs Round 8, 31 Oct 2026] models_released: AlphaFold 3 model code and weights offered for academic use (download via GitHub; release date not stated on the page); AlphaFold Server gives free AF3 predictions for non-commercial research from 8 May 2024",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The third AlphaFold, which predicts the structures and interactions of proteins and other molecules, offered through a free web server.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/science/alphafold/",
    "https://deepmind.google/blog/page/8/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/science/alphafold/",
     "quotes": [
      "AlphaFold 3 and AlphaFold Server are launched."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "AlphaFold 3 predicts the structure and interactions of all of life's molecules\" (index, May 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (free server; code and weights for academic use)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7017",
   "name": "AlphaProteo",
   "bucket": "prod",
   "status": "released (paper only)",
   "status_date": "2024-09-05",
   "status_detail": null,
   "one_line": "An AI system that designs new proteins that bind tightly to chosen target molecules.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI system that designs new proteins that bind tightly to chosen target molecules.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphaproteo-generates-novel-proteins-for-biology-and-health-research/",
    "https://deepmind.google/blog/page/8/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphaproteo-generates-novel-proteins-for-biology-and-health-research/",
     "quotes": [
      "AlphaProteo can generate new protein binders for diverse target proteins"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "AlphaProteo generates novel proteins for biology and health research\" (index, September 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7018",
   "name": "Genie 2",
   "bucket": "prod",
   "status": "research only",
   "status_date": "2024-12-04",
   "status_detail": null,
   "one_line": "A world model that turns one image into a playable 3D world a person or AI agent can move through.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A world model that turns one image into a playable 3D world a person or AI agent can move through.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/genie-2-a-large-scale-foundation-world-model/",
    "https://deepmind.google/blog/page/8/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/genie-2-a-large-scale-foundation-world-model/",
     "quotes": [
      "Genie 2 is a world model, meaning it can simulate virtual worlds, including the consequences of taking any action."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "Genie 2: A large-scale foundation world model\" (index, December 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research only",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7019",
   "name": "GenCast",
   "bucket": "prod",
   "status": "released (open code and weights)",
   "status_date": "2024-12-04",
   "status_detail": null,
   "one_line": "An AI weather model that gives a range of possible forecasts up to 15 days ahead, including extreme-weather risk.",
   "description": "Division as written: Frontier and foundation models. [Gemini gap Round 1, 31 Oct 2026] Published in Nature on 4 December 2024 (s41586-024-08252-9).",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI weather model that gives a range of possible forecasts up to 15 days ahead, including extreme-weather risk.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/gencast-predicts-weather-and-the-risks-of-extreme-conditions-with-sota-accuracy/",
    "https://deepmind.google/blog/page/8/",
    "https://www.nature.com/articles/s41586-024-08252-9"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/gencast-predicts-weather-and-the-risks-of-extreme-conditions-with-sota-accuracy/",
     "quotes": [
      "GenCast marks a critical advance in AI-based weather prediction."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy\" (index, December 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nature.com/articles/s41586-024-08252-9",
     "quotes": [
      "Probabilistic weather forecasting with machine learning (Nature, published 4 December 2024)"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open code and weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7021",
   "name": "Eleven Multilingual v1",
   "bucket": "prod",
   "status": "superseded",
   "status_date": "2023-04-27",
   "status_detail": null,
   "one_line": "ElevenLabs' first multilingual text-to-speech model, adding seven languages to its English voice model.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' first multilingual text-to-speech model, adding seven languages to its English voice model.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/eleven-multilingual-v1",
    "https://elevenlabs.io/blog/category/research"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/eleven-multilingual-v1",
     "quotes": [
      "Similarly to its predecessor, the new model is based entirely on our in-house research."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/category/research",
     "quotes": [
      "Introducing Eleven Multilingual v1: Our New Speech Synthesis Model\" (Apr 27, 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "superseded",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7022",
   "name": "Eleven Multilingual v2",
   "bucket": "prod",
   "status": "released (API; previous generation)",
   "status_date": "2023-08-22",
   "status_detail": null,
   "one_line": "A text-to-speech model that speaks 29 languages, released as ElevenLabs came out of beta.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A text-to-speech model that speaks 29 languages, released as ElevenLabs came out of beta.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/eleven-multilingual-v2",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/eleven-multilingual-v2",
     "quotes": [
      "With unparalleled speech synthesis capabilities, Eleven Multilingual v2 supports 29 languages."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Our lifelike model with rich emotional expression"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API; previous generation)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7023",
   "name": "Eleven Turbo v2.5",
   "bucket": "prod",
   "status": "deprecated",
   "status_date": "2024-07-19",
   "status_detail": null,
   "one_line": "A low-latency text-to-speech model for real-time conversation in 32 languages; now replaced by Flash.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A low-latency text-to-speech model for real-time conversation in 32 languages; now replaced by Flash.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/introducing-turbo-v25",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/introducing-turbo-v25",
     "quotes": [
      "This unlocks high-quality low-latency conversational AI for nearly 80% of the world."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "First generation low-latency model (outclassed by Flash models)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "deprecated",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7024",
   "name": "Eleven Flash (v2 and v2.5)",
   "bucket": "prod",
   "status": "released (API)",
   "status_date": "2024-12-18",
   "status_detail": null,
   "one_line": "ElevenLabs' fastest text-to-speech model, built for voice agents that must answer in real time.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' fastest text-to-speech model, built for voice agents that must answer in real time.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/meet-flash",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/meet-flash",
     "quotes": [
      "Our newest model that generates speech in 75ms + application & network latency."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Ultra-fast model optimized for real-time use (~100ms†)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7025",
   "name": "Scribe (v1)",
   "bucket": "prod",
   "status": "deprecated",
   "status_date": "2025-02-26",
   "status_detail": null,
   "one_line": "ElevenLabs' first speech-to-text model, transcribing 99 languages with timings and speaker labels.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' first speech-to-text model, transcribing 99 languages with timings and speaker labels.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/meet-scribe",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/meet-scribe",
     "quotes": [
      "Scribe, our first Speech to Text model, is the world's most accurate transcription model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "First generation speech recognition (outclassed by v2 models)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "deprecated",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7026",
   "name": "Eleven v3",
   "bucket": "prod",
   "status": "released (generally available; previous generation)",
   "status_date": "2025-06-03",
   "status_detail": null,
   "one_line": "An expressive text-to-speech model with emotion tags and multi-speaker dialogue in 70+ languages.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An expressive text-to-speech model with emotion tags and multi-speaker dialogue in 70+ languages.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/eleven-v3",
    "https://elevenlabs.io/blog/eleven-v3-is-now-generally-available"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/eleven-v3",
     "quotes": [
      "Eleven v3 (alpha) introduces advanced audio tags, dialogue mode, and 70+ languages for nuanced, emotionally rich AI-generated speech."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/eleven-v3-is-now-generally-available",
     "quotes": [
      "Eleven v3, our most advanced Text to Speech model, is now out of Alpha and generally available."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (generally available; previous generation)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7027",
   "name": "Voice Design v3",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2025-06-25",
   "status_detail": null,
   "one_line": "A tool that creates a new synthetic voice from a written description and offers three options.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A tool that creates a new synthetic voice from a written description and offers three options.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/voice-design-v3",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/voice-design-v3",
     "quotes": [
      "Voice Design v3 is ideal for creators, businesses, and developers who need specific voices for their project."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Human-like and expressive voice design model (Text to Voice)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7028",
   "name": "Eleven Music",
   "bucket": "prod",
   "status": "released (product and API)",
   "status_date": "2025-08-05",
   "status_detail": null,
   "one_line": "A model that writes full songs from plain-language prompts, with or without vocals, cleared for commercial use.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that writes full songs from plain-language prompts, with or without vocals, cleared for commercial use.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/eleven-music-is-here",
    "https://elevenlabs.io/blog/category/research"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/eleven-music-is-here",
     "quotes": [
      "Eleven Music is cleared for nearly all commercial uses"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/category/research",
     "quotes": [
      "Eleven Music is here\" (Aug 5, 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product and API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7029",
   "name": "Scribe v2 Realtime",
   "bucket": "prod",
   "status": "released (API)",
   "status_date": "2025-11-11",
   "status_detail": null,
   "one_line": "A live speech-to-text model for voice agents, meetings and captions.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A live speech-to-text model for voice agents, meetings and captions.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/introducing-scribe-v2-realtime",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/introducing-scribe-v2-realtime",
     "quotes": [
      "Scribe v2 Realtime sets a new standard for low-latency Speech to Text."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Real-time speech recognition model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7030",
   "name": "Scribe v2 (and Scribe v2 Medical)",
   "bucket": "prod",
   "status": "released (API)",
   "status_date": "2026-01-09",
   "status_detail": null,
   "one_line": "ElevenLabs' second-generation transcription model for bulk transcripts, subtitles and captions; a medical variant handles clinical audio.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' second-generation transcription model for bulk transcripts, subtitles and captions; a medical variant handles clinical audio.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/introducing-scribe-v2",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/introducing-scribe-v2",
     "quotes": [
      "Scribe v2 is built for batch transcription, subtitling, and captioning at scale."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Speech recognition model specialized for medical and clinical audio"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7031",
   "name": "Music v2 (and Music v2.5)",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2026-05-26",
   "status_detail": null,
   "one_line": "ElevenLabs' second music model, with better vocals, instruments and song structure and multi-language lyrics.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' second music model, with better vocals, instruments and song structure and multi-language lyrics.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/introducing-music-v2",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/introducing-music-v2",
     "quotes": [
      "Music v2 delivers better vocals, instrumentation, and arrangement across every genre."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Our most advanced music model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7032",
   "name": "Dubbing v2",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2026-05-28",
   "status_detail": null,
   "one_line": "An AI dubbing model that translates speech into 90+ languages while keeping the speaker's tone and pacing.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI dubbing model that translates speech into 90+ languages while keeping the speaker's tone and pacing.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/introducing-dubbing-v2",
    "https://elevenlabs.io/blog/category/research"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/introducing-dubbing-v2",
     "quotes": [
      "For the first time, the emotion and performance of the original speaker carries across every language."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/category/research",
     "quotes": [
      "Introducing Dubbing v2\" (May 28, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7033",
   "name": "Eleven v4 and Eleven v4 Turbo",
   "bucket": "prod",
   "status": "released (API and products)",
   "status_date": "2026-09-28",
   "status_detail": null,
   "one_line": "ElevenLabs' newest text-to-speech models, producing emotional speech in 90+ languages; the Turbo version is built for live agents.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' newest text-to-speech models, producing emotional speech in 90+ languages; the Turbo version is built for live agents.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/eleven-v4",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/eleven-v4",
     "quotes": [
      "Eleven v4 was designed to interpret tone, pacing, emotion, character, and context."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Our most emotionally rich, expressive speech synthesis model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API and products)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7034",
   "name": "Cue (forced alignment model)",
   "bucket": "prod",
   "status": "released (API; inside Scribe)",
   "status_date": "2026-10-28",
   "status_detail": null,
   "one_line": "A model that lines up each character of a transcript with the exact moment it is spoken in a recording.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that lines up each character of a transcript with the exact moment it is spoken in a recording.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/cue-aligner",
    "https://elevenlabs.io/blog/category/research"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/cue-aligner",
     "quotes": [
      "Cue places every character on the audio timeline, so the right words show up at the right time."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/category/research",
     "quotes": [
      "How your transcript knows where each word is spoken\" (Oct 28, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API; inside Scribe)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7035",
   "name": "Eleven Realtime v1 (Mini and Max)",
   "bucket": "prod",
   "status": "released (API; date not published)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Complete speech-to-speech voice-agent models: Mini tuned for speed and natural turn-taking, Max for complex multi-step tasks with tool calls.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "voice agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Complete speech-to-speech voice-agent models: Mini tuned for speed and natural turn-taking, Max for complex multi-step tasks with tool calls.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Complete voice agent model configuration, optimized for fast, natural conversation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API; date not published)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7036",
   "name": "SFX v3 (sound effects model)",
   "bucket": "prod",
   "status": "limited access (date not published)",
   "status_date": null,
   "status_detail": null,
   "one_line": "A model that makes sound effects from text prompts, with better prompt-following and looping.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that makes sound effects from text prompts, with better prompt-following and looping.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Sound effects generation from text prompts"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "limited access (date not published)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-7037",
   "name": "Stable Video Diffusion",
   "bucket": "prod",
   "status": "research preview (open code and weights)",
   "status_date": "2023-11-21",
   "status_detail": null,
   "one_line": "Stability AI's first video model, which turns a single image into a short video clip.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's first video model, which turns a single image into a short video clip.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stable-video-diffusion-open-ai-video-model",
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stable-video-diffusion-open-ai-video-model",
     "quotes": [
      "Stable Video Diffusion is a proud addition to our diverse range of open-source models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Stable Video Diffusion Now Available on Stability AI Developer Platform API\" (12/20/23)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research preview (open code and weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7038",
   "name": "Stable Code 3B",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-01-16",
   "status_detail": null,
   "one_line": "A small (3-billion-parameter, per its name) coding language model from Stability AI; launch post titled \"Coding on the Edge\".",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A small (3-billion-parameter, per its name) coding language model from Stability AI; launch post titled \"Coding on the Edge\".",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product",
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Stable Code 3B: Coding on the Edge\" (1/16/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Code Instruct 3B\" (3/25/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7039",
   "name": "Stable LM 2 (1.6B and 12B)",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-01-19",
   "status_detail": null,
   "one_line": "Stability AI's second family of small open language models, in 1.6-billion and 12-billion-parameter sizes.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's second family of small open language models, in 1.6-billion and 12-billion-parameter sizes.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product",
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable LM 2 1.6B\" (1/19/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable LM 2 12B\" (4/8/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7040",
   "name": "Stable Cascade",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-02-12",
   "status_detail": null,
   "one_line": "A Stability AI model announced in February 2024; launch post not opened, so details are not recorded.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Stability AI model announced in February 2024; launch post not opened, so details are not recorded.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Cascade\" (2/12/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7041",
   "name": "Stable Diffusion 3 (incl. SD3 Medium)",
   "bucket": "prod",
   "status": "released (API; open weights for Medium)",
   "status_date": "2024-02-22",
   "status_detail": null,
   "one_line": "Stability AI's third-generation text-to-image model; the 2-billion-parameter Medium version was released with open weights.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's third-generation text-to-image model; the 2-billion-parameter Medium version was released with open weights.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stable-diffusion-3-medium",
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stable-diffusion-3-medium",
     "quotes": [
      "Stable Diffusion 3 Medium is Stability AI's most advanced text-to-image open model yet."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Stable Diffusion 3 API Now Available\" (4/17/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API; open weights for Medium)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7042",
   "name": "TripoSR",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-03-05",
   "status_detail": null,
   "one_line": "A model that makes a 3D object from a single image quickly.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that makes a 3D object from a single image quickly.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing TripoSR: Fast 3D Object Generation from Single Images\" (3/5/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7043",
   "name": "Stable Video 3D",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-03-18",
   "status_detail": null,
   "one_line": "A model that generates new viewing angles and 3D objects from one image.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that generates new viewing angles and 3D objects from one image.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images\" (3/18/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7044",
   "name": "Stable Audio 2.0",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2024-04-03",
   "status_detail": null,
   "one_line": "Stability AI's second-generation music and sound generation model.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's second-generation music and sound generation model.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Audio 2.0\" (4/3/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7045",
   "name": "Stable Audio Open",
   "bucket": "prod",
   "status": "released (open source)",
   "status_date": "2024-06-05",
   "status_detail": null,
   "one_line": "An open-source model for making short audio samples and sound effects.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An open-source model for making short audio samples and sound effects.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product",
    "https://stability.ai/news-updates?offset=1742313654132"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Audio Open - An Open Source Model for Audio Samples and Sound Design\" (6/5/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates?offset=1742313654132",
     "quotes": [
      "Stable Audio Open: Research Paper\" (7/22/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open source)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7046",
   "name": "Stable Video 4D (and SV4D 2.0)",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-07-24",
   "status_detail": null,
   "one_line": "A model that turns one video into multi-angle video of a moving object.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that turns one video into multi-angle video of a moving object.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product",
    "https://stability.ai/news-updates"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Video 4D, Our Latest AI Model for Dynamic Multi-Angle Video Generation\" (7/24/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Stable Video 4D 2.0: New Upgrades for High-Fidelity Novel-Views and 4D Generation from a Single Video\" (5/20/25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7047",
   "name": "Stable Fast 3D",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-08-01",
   "status_detail": null,
   "one_line": "A model that makes a 3D asset from a single image quickly.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that makes a 3D asset from a single image quickly.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Fast 3D: Rapid 3D Asset Generation From Single Images\" (8/1/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7048",
   "name": "Stable Diffusion 3.5",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2024-10-22",
   "status_detail": null,
   "one_line": "Stability AI's text-to-image model family released in October 2024 and later offered through cloud marketplaces.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's text-to-image model family released in October 2024 and later offered through cloud marketplaces.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product",
    "https://stability.ai/news-updates"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Diffusion 3.5\" (10/22/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Stable Diffusion 3.5 Models Optimized with TensorRT Deliver 2X Faster Performance and 40% Less Memory on NVIDIA RTX GPUs"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7049",
   "name": "Stable Point Aware 3D (SPAR3D)",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2025-01-08",
   "status_detail": null,
   "one_line": "A model that generates a complete 3D object from an image and allows real-time editing.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that generates a complete 3D object from an image and allows real-time editing.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Introducing Stable Point Aware 3D: Real-Time Editing and Complete Object Structure Generation\" (1/8/25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7050",
   "name": "Stable Virtual Camera",
   "bucket": "prod",
   "status": "released (model)",
   "status_date": "2025-03-18",
   "status_detail": null,
   "one_line": "A model that makes multi-view video from images with 3D camera control.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model that makes multi-view video from images with 3D camera control.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Introducing Stable Virtual Camera: Multi-View Video Generation with 3D Camera Control\" (3/18/25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7051",
   "name": "Stable Audio Open Small",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-05-14",
   "status_detail": null,
   "one_line": "A small open audio model, released with Arm, that generates sound on phones and other devices.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A small open audio model, released with Arm, that generates sound on phones and other devices.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates",
    "https://stability.ai/news-updates?offset=1742313654132"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Stability AI and Arm Collaborate to Release Stable Audio Open Small, Enabling Real-World Deployment for On-Device Audio Generation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates?offset=1742313654132",
     "quotes": [
      "Stability AI and Arm Bring On-Device Generative Audio to Smartphones\" (3/3/25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-CHIP-001",
     "name": "Arm",
     "page": "chips",
     "href": "../chips/#org=BIZ-CHIP-001",
     "page_label": "Chips and hardware"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7052",
   "name": "Stable Audio 2.5",
   "bucket": "prod",
   "status": "released (API and enterprise licence)",
   "status_date": "2025-09-10",
   "status_detail": null,
   "one_line": "An enterprise audio model that generates brand music and sound in seconds.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An enterprise audio model that generates brand music and sound in seconds.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stability-ai-introduces-stable-audio-25-the-first-audio-model-built-for-enterprise-sound-production-at-scale",
    "https://stability.ai/news-updates"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stability-ai-introduces-stable-audio-25-the-first-audio-model-built-for-enterprise-sound-production-at-scale",
     "quotes": [
      "Stable Audio 2.5 is purpose-built for this challenge of creating customizable, high-quality audio at scale."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Stability AI Introduces Stable Audio 2.5, the First Audio Model Built for Enterprise Sound Production at Scale\" (9/10/25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API and enterprise licence)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7053",
   "name": "Stability AI Solutions",
   "bucket": "prod",
   "status": "released (enterprise service)",
   "status_date": "2025-08-05",
   "status_detail": null,
   "one_line": "Stability AI's packaged generative AI services for enterprise creative production.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's packaged generative AI services for enterprise creative production.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Introducing Stability AI Solutions: Generative AI Solutions to Accelerate Enterprise Creative Production\" (8/5/25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (enterprise service)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7054",
   "name": "Brand Studio",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2026-04-08",
   "status_detail": null,
   "one_line": "Stability AI's creative production platform that generates content in a company's own brand style.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's creative production platform that generates content in a company's own brand style.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Introducing Brand Studio: The creative production platform powered by your brand\" (4/8/26)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7055",
   "name": "Stable Audio 3.0",
   "bucket": "prod",
   "status": "released (open weights for Small SFX, Small, Medium; Large via API)",
   "status_date": "2026-05-20",
   "status_detail": null,
   "one_line": "Stability AI's audio model family for music and sound effects, trained on licensed data, mostly with open weights.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's audio model family for music and sound effects, trained on licensed data, mostly with open weights.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/meet-stable-audio-3-the-model-family-built-for-artistic-experimentation-with-open-weight-models",
    "https://stability.ai/news-updates"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/meet-stable-audio-3-the-model-family-built-for-artistic-experimentation-with-open-weight-models",
     "quotes": [
      "Stable Audio 3.0 is our open invitation to experiment with generative audio."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://stability.ai/news-updates",
     "quotes": [
      "Meet Stable Audio 3.0, the model family built for artistic experimentation with open-weight models\" (5/20/26)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights for Small SFX, Small, Medium; Large via API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7056",
   "name": "Stable Assistant",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2024-07-09",
   "status_detail": null,
   "one_line": "Stability AI's assistant product, through which its image models were offered to users.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's assistant product, through which its image models were offered to users.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/category/Product"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/category/Product",
     "quotes": [
      "Stability AI Releases Stable Assistant Features\" (7/9/24)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-7057",
   "name": "Learning to Drive in a Day (deep reinforcement learning on a car)",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2018-09-11",
   "status_detail": null,
   "one_line": "Wayve's early research paper in which a real car learned to follow a lane by reinforcement learning.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Wayve's early research paper in which a real car learned to follow a lane by reinforcement learning.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "Learning to Drive in a Day\" (publication, 11 Sep 2018)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7058",
   "name": "GAIA-1",
   "bucket": "prod",
   "status": "released (technical report)",
   "status_date": "2023-10-03",
   "status_detail": null,
   "one_line": "Wayve's first generative world model, which makes realistic driving video from video, text and action inputs to train and test self-driving systems.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Wayve's first generative world model, which makes realistic driving video from video, text and action inputs to train and test self-driving systems.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/press/wayve-releases-gaia-1-technical-report/",
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/press/wayve-releases-gaia-1-technical-report/",
     "quotes": [
      "GAIA-1 is the first generative world model designed specifically for self-driving systems."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "GAIA-1: A Generative World Model for Autonomous Driving\" (29 Sep 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (technical report)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7059",
   "name": "LINGO-1",
   "bucket": "prod",
   "status": "released (research model)",
   "status_date": "2023-09-14",
   "status_detail": null,
   "one_line": "A Wayve model that comments on driving scenes in plain language and answers questions about its driving decisions.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Wayve model that comments on driving scenes in plain language and answers questions about its driving decisions.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/press/introducing_lingo1/",
    "https://wayve.ai/press/introducing-lingo-2/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/press/introducing_lingo1/",
     "quotes": [
      "LINGO-1 can comment on driving scenes and be prompted with questions."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/introducing-lingo-2/",
     "quotes": [
      "LINGO-1 described there as an open-loop driving commentator released September 2023"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (research model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7060",
   "name": "LINGO-2",
   "bucket": "prod",
   "status": "released (tested on public roads)",
   "status_date": "2024-04-17",
   "status_detail": null,
   "one_line": "A Wayve driving model that both drives and gives a running commentary explaining its choices.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Wayve driving model that both drives and gives a running commentary explaining its choices.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/press/introducing-lingo-2/",
    "https://wayve.ai/press/category/press-release/page/4/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/press/introducing-lingo-2/",
     "quotes": [
      "LINGO-2 is a closed-loop driving model and the first vision-language-action model tested on public roads."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/category/press-release/page/4/",
     "quotes": [
      "Driving with Language: Introducing Wayve's Multimodal Driving Model LINGO-2\" (17 April 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (tested on public roads)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7061",
   "name": "PRISM-1",
   "bucket": "prod",
   "status": "released (internal simulation model)",
   "status_date": "2024-06-17",
   "status_detail": null,
   "one_line": "A Wayve model that rebuilds real driving scenes in 3D over time from camera footage, so they can be re-simulated for testing.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Wayve model that rebuilds real driving scenes in 3D over time from camera footage, so they can be re-simulated for testing.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/press/wayve-unveils-prism-1/",
    "https://wayve.ai/press/category/press-release/page/4/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/press/wayve-unveils-prism-1/",
     "quotes": [
      "PRISM-1 is a cutting-edge scene reconstruction model that enables realistic 4D simulations of dynamic driving scenarios."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/category/press-release/page/4/",
     "quotes": [
      "Wayve unveils PRISM-1 for Advanced Autonomous Driving Simulation\" (17 June 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (internal simulation model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7062",
   "name": "WayveScenes101",
   "bucket": "prod",
   "status": "released (open dataset, non-commercial)",
   "status_date": "2024-06-17",
   "status_detail": null,
   "one_line": "A public set of 101 recorded driving scenes for testing models that render scenes from new viewpoints.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A public set of 101 recorded driving scenes for testing models that render scenes from new viewpoints.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/labs/wayvescenes101/",
    "https://wayve.ai/press/wayve-unveils-prism-1/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/labs/wayvescenes101/",
     "quotes": [
      "Each scene includes time-synchronised views from five vehicle-mounted cameras and camera poses."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/press/wayve-unveils-prism-1/",
     "quotes": [
      "a benchmark dataset of 101 diverse driving scenarios"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open dataset, non-commercial)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7063",
   "name": "CarLLaVA",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2024-06-14",
   "status_detail": null,
   "one_line": "A Wayve research model that uses a vision-language model to drive with cameras only.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Wayve research model that uses a vision-language model to drive with cameras only.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "CarLLaVA: Vision language models for camera-only closed-loop driving\" (14 Jun 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7064",
   "name": "SimLingo",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2025-03-12",
   "status_detail": null,
   "one_line": "A Wayve research model that drives from cameras alone and links its language to its driving actions.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Wayve research model that drives from cameras alone and links its language to its driving actions.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment\" (12 Mar 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7065",
   "name": "GAIA-2",
   "bucket": "prod",
   "status": "released (technical report)",
   "status_date": "2025-03-26",
   "status_detail": null,
   "one_line": "Wayve's second world model, which generates controllable multi-camera driving video, including rare risky scenarios.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Wayve's second world model, which generates controllable multi-camera driving video, including rare risky scenarios.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/thinking/gaia-2/",
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/thinking/gaia-2/",
     "quotes": [
      "Unlike general-purpose generative models, GAIA-2 is purpose-built to navigate the complexities of driving"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving\" (26 Mar 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (technical report)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7066",
   "name": "Rig3R",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2025-10-15",
   "status_detail": null,
   "one_line": "A Wayve model that builds 3D maps of a scene and tracks the car's movement from several cameras.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Wayve model that builds 3D maps of a scene and tracks the car's movement from several cameras.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/thinking/rig3r/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/thinking/rig3r/",
     "quotes": [
      "Rig3R extends geometric foundation models such as VGGT with the advantage of rig awareness."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7067",
   "name": "GAIA-3",
   "bucket": "prod",
   "status": "released (research)",
   "status_date": "2025-12-02",
   "status_detail": null,
   "one_line": "Wayve's third world model, which generates realistic, controllable driving scenes for offline safety testing.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Wayve's third world model, which generates realistic, controllable driving scenes for offline safety testing.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/thinking/gaia-3/",
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/thinking/gaia-3/",
     "quotes": [
      "GAIA-3 combines the realism of real-world data with the control of simulation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "Scaling World Models to Power Safety and Evaluation\" (GAIA-3)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (research)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7068",
   "name": "LA-Pose",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2026-05-05",
   "status_detail": null,
   "one_line": "A Wayve model that learns vehicle motion from unlabelled driving video to estimate a camera's 3D position.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Wayve model that learns vehicle motion from unlabelled driving video to estimate a camera's 3D position.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/thinking/la-pose/",
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/thinking/la-pose/",
     "quotes": [
      "On PandaSet, a dataset the model had never seen during training, it still outperforms all baselines."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "What 10 million Driving Videos Taught Us About Camera Pose Estimation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7069",
   "name": "Wayve AI Driver",
   "bucket": "prod",
   "status": "released (product; rides in London with Uber)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Wayve's AI driving software for carmakers, from driver assistance up to full self-driving, without HD maps.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Wayve's AI driving software for carmakers, from driver assistance up to full self-driving, without HD maps.",
   "affiliation": "Labs",
   "sources": [
    "https://wayve.ai/product/wayve-ai-driver/",
    "https://wayve.ai/labs/"
   ],
   "source_quotes": [
    {
     "url": "https://wayve.ai/product/wayve-ai-driver/",
     "quotes": [
      "Wayve AI Driver is built from experience, not rules."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://wayve.ai/labs/",
     "quotes": [
      "Enabling automakers to unlock all levels of driving automation at scale."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product; rides in London with Uber)",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-INV-059",
     "name": "Uber (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-059",
     "page_label": "Investors"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-INV-2174",
     "name": "Mercedes-Benz",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2174",
     "page_label": "Investors"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-003"
   ]
  },
  {
   "id": "BIZ-LAB-7070",
   "name": "EXPRESS-1 (Expressive Avatars)",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2024-04-22",
   "status_detail": null,
   "one_line": "Synthesia's avatar model that delivers a script with matching tone, body language and lip sync.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia's avatar model that delivers a script with matching tone, body language and lip sync.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/expressive-avatars-powered-by-synthesias-new-express1-model-are-here"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/expressive-avatars-powered-by-synthesias-new-express1-model-are-here",
     "quotes": [
      "Expressive Avatars are the world's first avatars fully generated with AI."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-7071",
   "name": "Synthesia 2.0",
   "bucket": "prod",
   "status": "released (platform)",
   "status_date": "2024-06-23",
   "status_detail": null,
   "one_line": "Synthesia's rebuilt business platform for making and sharing AI videos, with personal avatars and an AI video assistant.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia's rebuilt business platform for making and sharing AI videos, with personal avatars and an AI video assistant.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/introducing-synthesia-video-communications-platform"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/introducing-synthesia-video-communications-platform",
     "quotes": [
      "we aim to reinvent every step of the video production pipeline from the ground up"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (platform)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-7072",
   "name": "Synthesia 3.0 and Video Agents",
   "bucket": "prod",
   "status": "released (platform)",
   "status_date": "2025-10-01",
   "status_detail": null,
   "one_line": "Synthesia's 2025 platform release, adding Video Agents that hold real-time conversations inside videos.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia's 2025 platform release, adding Video Agents that hold real-time conversations inside videos.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/synthesia-3-0-the-next-era-of-video"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/synthesia-3-0-the-next-era-of-video",
     "quotes": [
      "Video Agents are the first step toward video becoming a two-way conversation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (platform)",
   "ext_links": [],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-7073",
   "name": "Express-2 (customisable action avatars)",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2025-11-13",
   "status_detail": null,
   "one_line": "Synthesia's second avatar model, which lets one avatar both explain and act out a short clip in the same editor.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia's second avatar model, which lets one avatar both explain and act out a short clip in the same editor.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/synthesia-new-avatars-dont-just-talk-they-take-action",
    "https://www.synthesia.io/post/partnering-shutterstock-accelerate-ai-research"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/synthesia-new-avatars-dont-just-talk-they-take-action",
     "quotes": [
      "Our new customizable Avatars are designed to help users generate both the explanation and the action inside the same editor."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/post/partnering-shutterstock-accelerate-ai-research",
     "quotes": [
      "Today, we are announcing that Synthesia will be leveraging Shutterstock's extensive content library"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-7074",
   "name": "Express-3",
   "bucket": "prod",
   "status": "released (rolling out to all plans)",
   "status_date": "2026-07-15",
   "status_detail": null,
   "one_line": "Synthesia's newest avatar model, with more natural lip sync, body movement and gestures that match the script.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia's newest avatar model, with more natural lip sync, body movement and gestures that match the script.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/synthesia-launches-new-ai-assistant-for-faster-video-creation-and-express-3-avatar-model"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/synthesia-launches-new-ai-assistant-for-faster-video-creation-and-express-3-avatar-model",
     "quotes": [
      "Express-3, our most advanced avatar model for lip sync, natural body movement and gestures."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (rolling out to all plans)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-7075",
   "name": "Interactive Avatar API",
   "bucket": "prod",
   "status": "released (enterprise; managed version planned)",
   "status_date": "2026-07-15",
   "status_detail": null,
   "one_line": "An API that lets developers put a live talking Synthesia avatar into their own website or app.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An API that lets developers put a live talking Synthesia avatar into their own website or app.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/interactive-avatar-api-real-time-avatars"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/interactive-avatar-api-real-time-avatars",
     "quotes": [
      "Synthesia handles the avatar rendering; you have the freedom to choose the rest."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (enterprise; managed version planned)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-7076",
   "name": "Isomorphic Labs Drug Design Engine (IsoDDE)",
   "bucket": "prod",
   "status": "internal use (technical report)",
   "status_date": "2026-02-10",
   "status_detail": null,
   "one_line": "Isomorphic Labs' combined computer system that predicts molecular structures, binding strength and binding pockets to design drugs.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Isomorphic Labs' combined computer system that predicts molecular structures, binding strength and binding pockets to design drugs.",
   "affiliation": "Labs",
   "sources": [
    "https://www.isomorphiclabs.com/articles/the-isomorphic-labs-drug-design-engine-unlocks-a-new-frontier",
    "https://www.isomorphiclabs.com/articles/building-a-new-path-to-make-medicines-with-ai"
   ],
   "source_quotes": [
    {
     "url": "https://www.isomorphiclabs.com/articles/the-isomorphic-labs-drug-design-engine-unlocks-a-new-frontier",
     "quotes": [
      "We are excited to introduce the Isomorphic Labs Drug Design Engine (IsoDDE)."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.isomorphiclabs.com/articles/building-a-new-path-to-make-medicines-with-ai",
     "quotes": [
      "We have reshaped our drug design processes around this new predictive capability."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "internal use (technical report)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-002"
   ]
  },
  {
   "id": "BIZ-LAB-7077",
   "name": "Dataverse (Isomorphic Labs)",
   "bucket": "prod",
   "status": "internal use (date not published)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Isomorphic Labs' curated collection of life-science data that feeds its research environment.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Isomorphic Labs' curated collection of life-science data that feeds its research environment.",
   "affiliation": "Labs",
   "sources": [
    "https://www.isomorphiclabs.com/our-tech"
   ],
   "source_quotes": [
    {
     "url": "https://www.isomorphiclabs.com/our-tech",
     "quotes": [
      "a unique, curated collection of life science data, powers a cutting-edge research environment"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "internal use (date not published)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-002"
   ]
  },
  {
   "id": "BIZ-LAB-7078",
   "name": "Raven (PolyAI's conversational model family; current Raven 3.5)",
   "bucket": "prod",
   "status": "released (default model on PolyAI platform)",
   "status_date": null,
   "status_detail": null,
   "one_line": "PolyAI's own large language model for live customer-service conversations by phone and chat.",
   "description": "Researcher's caveat: two_sources.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "voice agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "PolyAI's own large language model for live customer-service conversations by phone and chat.",
   "affiliation": "Labs",
   "sources": [
    "https://docs.poly.ai/behavior/models/raven",
    "https://docs.poly.ai/agent-settings/model-use"
   ],
   "source_quotes": [
    {
     "url": "https://docs.poly.ai/behavior/models/raven",
     "quotes": [
      "PolyAI's proprietary LLM family, built for customer service across voice and chat."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://docs.poly.ai/agent-settings/model-use",
     "quotes": [
      "PolyAI's purpose-built conversational model — 24+ languages, sub-300 ms latency, powers both voice and chat."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (default model on PolyAI platform)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-007"
   ]
  },
  {
   "id": "BIZ-LAB-7079",
   "name": "PolyAI Agentic Dialog Platform (open to builders: Poly Agent Builder and ADK)",
   "bucket": "prod",
   "status": "released (self-serve)",
   "status_date": "2026-05-18",
   "status_detail": null,
   "one_line": "PolyAI's platform for building enterprise voice agents, opened to all builders with an agent builder and developer kit.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "voice agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "PolyAI's platform for building enterprise voice agents, opened to all builders with an agent builder and developer kit.",
   "affiliation": "Labs",
   "sources": [
    "https://poly.ai/blog/agentic-dialog-platform-open-to-builders"
   ],
   "source_quotes": [
    {
     "url": "https://poly.ai/blog/agentic-dialog-platform-open-to-builders",
     "quotes": [
      "Today, we're opening our Agentic Dialog Platform to every builder across the enterprise."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (self-serve)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-007"
   ]
  },
  {
   "id": "BIZ-LAB-7080",
   "name": "Latent-X",
   "bucket": "prod",
   "status": "released (no-code web platform, free tier)",
   "status_date": "2025-07-22",
   "status_detail": null,
   "one_line": "Latent Labs' first public AI model, which designs small protein binders and ring-shaped peptides ready for lab testing.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Latent Labs' first public AI model, which designs small protein binders and ring-shaped peptides ready for lab testing.",
   "affiliation": "Labs",
   "sources": [
    "https://www.latentlabs.com/press-release/introducing-latent-x-a-frontier-generative-ai-model-for-protein-binder-design-accessible-via-no-code-platform-for-push-button-protein-design/",
    "https://www.latentlabs.com/press-release/"
   ],
   "source_quotes": [
    {
     "url": "https://www.latentlabs.com/press-release/introducing-latent-x-a-frontier-generative-ai-model-for-protein-binder-design-accessible-via-no-code-platform-for-push-button-protein-design/",
     "quotes": [
      "Latent-X generates lab-ready macrocycles and protein mini-binders at all-atom resolution to accelerate drug design."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/press-release/",
     "quotes": [
      "Introducing Latent-X, a frontier generative AI model for protein binder design\" (22.07.25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (no-code web platform, free tier)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-009"
   ]
  },
  {
   "id": "BIZ-LAB-7081",
   "name": "Latent-X2",
   "bucket": "prod",
   "status": "early access (web and API; commercial use by partnership)",
   "status_date": "2025-12-16",
   "status_detail": null,
   "one_line": "Latent Labs' second model, which designs antibodies and ring-shaped peptides with properties suited to drug development.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Latent Labs' second model, which designs antibodies and ring-shaped peptides with properties suited to drug development.",
   "affiliation": "Labs",
   "sources": [
    "https://www.latentlabs.com/latent-x2/",
    "https://www.latentlabs.com/press-release/"
   ],
   "source_quotes": [
    {
     "url": "https://www.latentlabs.com/latent-x2/",
     "quotes": [
      "Latent-X2 is an all-atom generative model that jointly generates sequences and structures while modeling the bound complex."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/press-release/",
     "quotes": [
      "Latent Labs announces Latent-X2: AI-generated antibodies with drug-like developability and low ex vivo immunogenicity\" (16.12.25)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "early access (web and API; commercial use by partnership)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-009"
   ]
  },
  {
   "id": "BIZ-LAB-7082",
   "name": "Latent-Y",
   "bucket": "prod",
   "status": "released (selected partners; Research Tier for researchers)",
   "status_date": "2026-03-23",
   "status_detail": null,
   "one_line": "An AI agent that designs antibodies from written goals, running Latent-X2 inside an automated workflow.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI agent that designs antibodies from written goals, running Latent-X2 inside an automated workflow.",
   "affiliation": "Labs",
   "sources": [
    "https://www.latentlabs.com/latent-y/",
    "https://www.latentlabs.com/press-release/"
   ],
   "source_quotes": [
    {
     "url": "https://www.latentlabs.com/latent-y/",
     "quotes": [
      "Latent‑Y is an AI agent that uses Latent-X2 as part of a larger autonomous workflow."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.latentlabs.com/press-release/",
     "quotes": [
      "Latent Labs launches Latent-Y to researchers worldwide — with free daily access and on-demand credits for larger campaigns\" (15.07.26)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (selected partners; Research Tier for researchers)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-009"
   ]
  },
  {
   "id": "BIZ-LAB-7083",
   "name": "EDEN (family of biological foundation models)",
   "bucket": "prod",
   "status": "released (two capabilities live; chat connector in Claude)",
   "status_date": "2026-01-12",
   "status_detail": null,
   "one_line": "Basecamp Research's 28-billion-parameter DNA foundation model family for designing programmable therapies, including gene-insertion enzymes.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Basecamp Research's 28-billion-parameter DNA foundation model family for designing programmable therapies, including gene-insertion enzymes.",
   "affiliation": "Labs",
   "sources": [
    "https://www.basecamp-research.com/ai-models",
    "https://www.basecamp-research.com/news-research"
   ],
   "source_quotes": [
    {
     "url": "https://www.basecamp-research.com/ai-models",
     "quotes": [
      "28-billion-parameter biological foundation model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.basecamp-research.com/news-research",
     "quotes": [
      "Designing AI-programmable therapeutics with the EDEN family of foundation models\" (January 12, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (two capabilities live; chat connector in Claude)",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-004",
     "name": "Anthropic (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-004",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-010"
   ]
  },
  {
   "id": "BIZ-LAB-7084",
   "name": "HiFi-NN",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2025-06-20",
   "status_detail": null,
   "one_line": "A Basecamp Research model for labelling the functions of unknown microbial proteins (\"microbial dark matter\").",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Basecamp Research model for labelling the functions of unknown microbial proteins (\"microbial dark matter\").",
   "affiliation": "Labs",
   "sources": [
    "https://www.basecamp-research.com/news-research"
   ],
   "source_quotes": [
    {
     "url": "https://www.basecamp-research.com/news-research",
     "quotes": [
      "Annotating the microbial dark matter with HiFi-NN\" (June 20, 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-010"
   ]
  },
  {
   "id": "BIZ-LAB-7085",
   "name": "Trillion Gene Atlas",
   "bucket": "prod",
   "status": "announced (data programme)",
   "status_date": "2026-03-18",
   "status_detail": null,
   "one_line": "Basecamp Research's plan to sequence a trillion genes from nature to train its AI models.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Basecamp Research's plan to sequence a trillion genes from nature to train its AI models.",
   "affiliation": "Labs",
   "sources": [
    "https://www.basecamp-research.com/news-research"
   ],
   "source_quotes": [
    {
     "url": "https://www.basecamp-research.com/news-research",
     "quotes": [
      "Trillion Gene Atlas Expands Evolutionary Datasets for Next-Generation AI Therapeutics\" (March 18, 2026; GEN headline, trade)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced (data programme)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-010"
   ]
  },
  {
   "id": "BIZ-LAB-7086",
   "name": "LGM-Aero (Large Geometry Model for aerospace)",
   "bucket": "prod",
   "status": "released (on PhysicsX platform)",
   "status_date": "2024-12-04",
   "status_detail": null,
   "one_line": "A PhysicsX model that quickly generates aircraft shapes and predicts how they will perform aerodynamically and structurally.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "engineering simulation"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A PhysicsX model that quickly generates aircraft shapes and predicts how they will perform aerodynamically and structurally.",
   "affiliation": "Labs",
   "sources": [
    "https://www.physicsx.ai/newsroom/introducing-lgm-aero-genai-for-aero-engineering-and-airplane-showcase-application-for-aerostructures",
    "https://www.physicsx.ai/newsroom/siemens-physicsx-collaborate-to-build-ai-based-deep-physics-simulation"
   ],
   "source_quotes": [
    {
     "url": "https://www.physicsx.ai/newsroom/introducing-lgm-aero-genai-for-aero-engineering-and-airplane-showcase-application-for-aerostructures",
     "quotes": [
      "It reduces the time to investigate aerospace concepts from months to hours."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom/siemens-physicsx-collaborate-to-build-ai-based-deep-physics-simulation",
     "quotes": [
      "Together, they aim to create the next generation of AI-based deep physics simulation to accelerate performance prediction and optimization."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (on PhysicsX platform)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Siemens Digital Industries Software"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-008"
   ]
  },
  {
   "id": "BIZ-LAB-7087",
   "name": "Ai.rplane",
   "bucket": "prod",
   "status": "released (free public app)",
   "status_date": "2024-12-04",
   "status_detail": null,
   "one_line": "A free public web app, built on LGM-Aero, that creates new aircraft designs and estimates their performance.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "engineering simulation"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A free public web app, built on LGM-Aero, that creates new aircraft designs and estimates their performance.",
   "affiliation": "Labs",
   "sources": [
    "https://www.physicsx.ai/newsroom/introducing-lgm-aero-genai-for-aero-engineering-and-airplane-showcase-application-for-aerostructures",
    "https://www.physicsx.ai/newsroom"
   ],
   "source_quotes": [
    {
     "url": "https://www.physicsx.ai/newsroom/introducing-lgm-aero-genai-for-aero-engineering-and-airplane-showcase-application-for-aerostructures",
     "quotes": [
      "It reduces the time to investigate aerospace concepts from months to hours."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.physicsx.ai/newsroom",
     "quotes": [
      "Welcome to Ai.rplane\" (December 4, 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (free public app)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-008"
   ]
  },
  {
   "id": "BIZ-LAB-7088",
   "name": "PX-Car-Aero-v1",
   "bucket": "prod",
   "status": "announced (article)",
   "status_date": "2026-08-07",
   "status_detail": null,
   "one_line": "A PhysicsX physics-AI model for car aerodynamics.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "engineering simulation"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A PhysicsX physics-AI model for car aerodynamics.",
   "affiliation": "Labs",
   "sources": [
    "https://www.physicsx.ai/newsroom"
   ],
   "source_quotes": [
    {
     "url": "https://www.physicsx.ai/newsroom",
     "quotes": [
      "Scaling Physics AI for Automotive Aerodynamics, Part II: Meet PX-Car-Aero-v1\" (August 7, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced (article)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-008"
   ]
  },
  {
   "id": "BIZ-LAB-7089",
   "name": "PhysicsX Large Physics Models on CoreWeave (private, domain-specific models)",
   "bucket": "prod",
   "status": "released (enterprise)",
   "status_date": "2026-03-11",
   "status_detail": null,
   "one_line": "A PhysicsX service that lets industrial customers train private physics AI models on their own data on CoreWeave's cloud.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "engineering simulation"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A PhysicsX service that lets industrial customers train private physics AI models on their own data on CoreWeave's cloud.",
   "affiliation": "Labs",
   "sources": [
    "https://www.physicsx.ai/newsroom"
   ],
   "source_quotes": [
    {
     "url": "https://www.physicsx.ai/newsroom",
     "quotes": [
      "PhysicsX and CoreWeave Partner to Deliver High-Performance Physics AI for Advanced Industrials\" (March 11, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (enterprise)",
   "ext_links": [
    {
     "kind": "buys_from",
     "id": "BIZ-BIG-023",
     "name": "CoreWeave (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-023",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-008"
   ]
  },
  {
   "id": "BIZ-LAB-7090",
   "name": "Orb (universal interatomic potential)",
   "bucket": "prod",
   "status": "released (open source)",
   "status_date": "2024-09-02",
   "status_detail": null,
   "one_line": "Orbital's open-source AI model that simulates how atoms in advanced materials behave, faster than older methods.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Orbital's open-source AI model that simulates how atoms in advanced materials behave, faster than older methods.",
   "affiliation": "Labs",
   "sources": [
    "https://www.orbitalindustries.com/posts/introducing-orb",
    "https://www.orbitalindustries.com/posts/press-release-orb"
   ],
   "source_quotes": [
    {
     "url": "https://www.orbitalindustries.com/posts/introducing-orb",
     "quotes": [
      "Today we are proud to release 'Orb' - the world's best AI model for advanced material simulation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.orbitalindustries.com/posts/press-release-orb",
     "quotes": [
      "Orb is more accurate than leading models from Google and Microsoft and 5x faster for large-scale simulations."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open source)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-024"
   ]
  },
  {
   "id": "BIZ-LAB-7091",
   "name": "OrbMol",
   "bucket": "prod",
   "status": "released (open source, Apache 2.0)",
   "status_date": "2025-08-27",
   "status_detail": null,
   "one_line": "An Orb model extended to molecules, including metal compounds, biological molecules and battery electrolytes.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An Orb model extended to molecules, including metal compounds, biological molecules and battery electrolytes.",
   "affiliation": "Labs",
   "sources": [
    "https://www.orbitalindustries.com/posts/orbmol-extending-orb-to-molecular-systems",
    "https://www.orbitalindustries.com/research"
   ],
   "source_quotes": [
    {
     "url": "https://www.orbitalindustries.com/posts/orbmol-extending-orb-to-molecular-systems",
     "quotes": [
      "OrbMol accurately models metal complexes, biomolecules, and electrolytes."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.orbitalindustries.com/research",
     "quotes": [
      "OrbMol: Extending Orb to Molecular Systems\" (Aug 27, 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open source, Apache 2.0)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-024"
   ]
  },
  {
   "id": "BIZ-LAB-7092",
   "name": "Orb-v3",
   "bucket": "prod",
   "status": "released (open source, Apache 2.0)",
   "status_date": "2025-09-04",
   "status_detail": null,
   "one_line": "A family of Orb models that simulate materials atom by atom at large scale, trading precision against computing cost.",
   "description": "Researcher's caveat: two_sources. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A family of Orb models that simulate materials atom by atom at large scale, trading precision against computing cost.",
   "affiliation": "Labs",
   "sources": [
    "https://www.orbitalindustries.com/news/blog/orb-v3-atomistic-simulation-at-scale",
    "https://www.orbitalindustries.com/research"
   ],
   "source_quotes": [
    {
     "url": "https://www.orbitalindustries.com/news/blog/orb-v3-atomistic-simulation-at-scale",
     "quotes": [
      "Orb-v3 breaks through a long-standing barrier in simulation: it brings quantum-level accuracy to the mesoscale."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.orbitalindustries.com/research",
     "quotes": [
      "Orb-v3: AI reaches the mescoscale\" (Sep 4, 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open source, Apache 2.0)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Rowan"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-024"
   ]
  },
  {
   "id": "BIZ-LAB-7093",
   "name": "OrbMol-v2",
   "bucket": "prod",
   "status": "released (blog)",
   "status_date": "2026-06-02",
   "status_detail": null,
   "one_line": "Orbital's second molecular model, which it says outperforms the most-cited method in chemistry.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Orbital's second molecular model, which it says outperforms the most-cited method in chemistry.",
   "affiliation": "Labs",
   "sources": [
    "https://www.orbitalindustries.com/research"
   ],
   "source_quotes": [
    {
     "url": "https://www.orbitalindustries.com/research",
     "quotes": [
      "Introducing OrbMol-v2: A Neural Network That Outperforms the Most-Cited Method in Chemistry."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (blog)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-024"
   ]
  },
  {
   "id": "BIZ-LAB-7094",
   "name": "LINUS (Orbital foundation model)",
   "bucket": "prod",
   "status": "internal (date not published)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Orbital's in-house foundation model for materials, on which Orb is built.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Orbital's in-house foundation model for materials, on which Orb is built.",
   "affiliation": "Labs",
   "sources": [
    "https://www.orbitalindustries.com/posts/press-release-orb"
   ],
   "source_quotes": [
    {
     "url": "https://www.orbitalindustries.com/posts/press-release-orb",
     "quotes": [
      "Orb is built upon Orbital’s foundation model called LINUS"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "internal (date not published)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-024"
   ]
  },
  {
   "id": "BIZ-LAB-7095",
   "name": "CurieOS",
   "bucket": "prod",
   "status": "released (deployed by BASF ECMS; date not published)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Orbital's software for AI-driven materials discovery, used in chemistry, hardware and engineering.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Orbital's software for AI-driven materials discovery, used in chemistry, hardware and engineering.",
   "affiliation": "Labs",
   "sources": [
    "https://www.orbitalindustries.com/research"
   ],
   "source_quotes": [
    {
     "url": "https://www.orbitalindustries.com/research",
     "quotes": [
      "BASF ECMS deploys CurieOS for AI-driven materials discovery."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (deployed by BASF ECMS; date not published)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "supplies",
     "name": "BASF ECMS"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-024"
   ]
  },
  {
   "id": "BIZ-LAB-7096",
   "name": "Cosine coding agent (CLI, Desktop and Cloud)",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Cosine's autonomous AI software engineer that works alongside human developers through a command line, desktop app and cloud.",
   "description": "Division as written: Companies.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Cosine's autonomous AI software engineer that works alongside human developers through a command line, desktop app and cloud.",
   "affiliation": "Labs",
   "sources": [
    "https://cosine.sh/about"
   ],
   "source_quotes": [
    {
     "url": "https://cosine.sh/about",
     "quotes": [
      "building autonomous, reasoning AI that works alongside human engineers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-7097",
   "name": "Lumen models (Lumen Sovereign 256K, Lumen Scout, Lumen Outpost)",
   "bucket": "prod",
   "status": "in development (alpha planned 2026 Q4; commercial launch planned 2027 Q1)",
   "status_date": "2026",
   "status_detail": null,
   "one_line": "Cosine's own model family; Lumen Sovereign is a planned frontier model that organisations can run on their own infrastructure, even air-gapped.",
   "description": "Researcher's caveat: two_sources. Division as written: Companies.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Cosine's own model family; Lumen Sovereign is a planned frontier model that organisations can run on their own infrastructure, even air-gapped.",
   "affiliation": "Labs",
   "sources": [
    "https://cosine.sh/lumen-sovereign",
    "https://cosine.sh/about"
   ],
   "source_quotes": [
    {
     "url": "https://cosine.sh/lumen-sovereign",
     "quotes": [
      "Frontier sovereign model for architecture, deep reasoning, complex transformation, and controlled deployment environments."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://cosine.sh/about",
     "quotes": [
      "Shortly after releasing our first Lumen models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "in development (alpha planned 2026 Q4; commercial launch planned 2027 Q1)",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-CLD-025",
     "name": "Vodafone Business–Cosine sovereign frontier model memorandum",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-025",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-7098",
   "name": "Nemotron-Personas-UK-Extended (NVIDIA Nemotron Personas, en_GB)",
   "bucket": "prod",
   "status": "released (NVIDIA Dataset License)",
   "status_date": "2026-10-20",
   "status_detail": null,
   "one_line": "A synthetic dataset of UK population personas for training AI, built by NVIDIA with London-based Locai Labs.",
   "description": "Division as written: New labs 2025–26.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A synthetic dataset of UK population personas for training AI, built by NVIDIA with London-based Locai Labs.",
   "affiliation": "Labs",
   "sources": [
    "https://catalog.ngc.nvidia.com/orgs/nvidia/nemotron-personas/resources/nemotron-personas-dataset-en_gb/"
   ],
   "source_quotes": [
    {
     "url": "https://catalog.ngc.nvidia.com/orgs/nvidia/nemotron-personas/resources/nemotron-personas-dataset-en_gb/",
     "quotes": [
      "This dataset was built in collaboration with Locai Labs , the sovereign AI computer company based in London."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (NVIDIA Dataset License)",
   "ext_links": [
    {
     "kind": "made_by",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2008"
   ]
  },
  {
   "id": "BIZ-LAB-7099",
   "name": "AlphaDev",
   "bucket": "prod",
   "status": "released (paper; algorithms open-sourced into LLVM libc++)",
   "status_date": "2023-06-07",
   "status_detail": null,
   "one_line": "An AI system that found faster sorting and hashing routines by building programs one low-level instruction at a time.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "algorithm discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI system that found faster sorting and hashing routines by building programs one low-level instruction at a time.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphadev-discovers-faster-sorting-algorithms/",
    "https://deepmind.google/blog/page/10/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphadev-discovers-faster-sorting-algorithms/",
     "quotes": [
      "AlphaDev uncovered faster algorithms by starting from scratch rather than refining existing algorithms"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/10/",
     "quotes": [
      "AlphaDev discovers faster sorting algorithms\" (index, June 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "algorithm discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper; algorithms open-sourced into LLVM libc++)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7100",
   "name": "RT-2 (Robotic Transformer 2)",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2023-07-28",
   "status_detail": null,
   "one_line": "A robot-control model that learns from web and robot data and turns camera images and instructions into robot actions.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A robot-control model that learns from web and robot data and turns camera images and instructions into robot actions.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/",
     "quotes": [
      "RT-2 shows improved generalisation capabilities and semantic and visual understanding"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "RT-2: New model translates vision and language into action\" (index, July 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7101",
   "name": "SynthID",
   "bucket": "prod",
   "status": "released (in Google products; text watermarking open-source planned May 2024)",
   "status_date": "2023-08-29",
   "status_detail": null,
   "one_line": "An invisible watermark that marks AI-generated images, then text, video and audio, so they can be identified later.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An invisible watermark that marks AI-generated images, then text, video and audio, so they can be identified later.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/identifying-ai-generated-images-with-synthid/",
    "https://deepmind.google/blog/watermarking-ai-generated-text-and-video-with-synthid/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/identifying-ai-generated-images-with-synthid/",
     "quotes": [
      "This technology embeds a digital watermark directly into the pixels of an image."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/watermarking-ai-generated-text-and-video-with-synthid/",
     "quotes": [
      "SynthID isn’t a silver bullet for identifying AI generated content."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (in Google products; text watermarking open-source planned May 2024)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7102",
   "name": "AlphaMissense",
   "bucket": "prod",
   "status": "released (open catalogue CC BY 4.0; open code)",
   "status_date": "2023-09-19",
   "status_detail": null,
   "one_line": "An AI model that estimates whether single-letter changes in human proteins are likely to cause disease.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI model that estimates whether single-letter changes in human proteins are likely to cause disease.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/a-catalogue-of-genetic-mutations-to-help-pinpoint-the-cause-of-diseases/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/a-catalogue-of-genetic-mutations-to-help-pinpoint-the-cause-of-diseases/",
     "quotes": [
      "AlphaMissense builds on AlphaFold to further the world's understanding of proteins."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "A catalogue of genetic mutations to help pinpoint the cause of diseases\" (index, September 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open catalogue CC BY 4.0; open code)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7103",
   "name": "FunSearch",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2023-12-14",
   "status_detail": null,
   "one_line": "A system in which a language model writes programs and an automatic checker scores them, used to find new maths results.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "algorithm discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A system in which a language model writes programs and an automatic checker scores them, used to find new maths results.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/funsearch-making-new-discoveries-in-mathematical-sciences-using-large-language-models/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/funsearch-making-new-discoveries-in-mathematical-sciences-using-large-language-models/",
     "quotes": [
      "FunSearch discovered new solutions for the cap set problem, a longstanding open problem in mathematics."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "FunSearch: Making new discoveries in mathematical sciences using Large Language Models\" (index, December 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "algorithm discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7104",
   "name": "AlphaGeometry",
   "bucket": "prod",
   "status": "released (paper; open code and model)",
   "status_date": "2024-01-17",
   "status_detail": null,
   "one_line": "A system that pairs a language model with a logic engine to prove Olympiad geometry problems.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI reasoning"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A system that pairs a language model with a logic engine to prove Olympiad geometry problems.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/",
     "quotes": [
      "AlphaGeometry's language model guides its symbolic deduction engine towards likely solutions to geometry problems."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "AlphaGeometry: An Olympiad-level AI system for geometry\" (index, January 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper; open code and model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7105",
   "name": "Gemini Robotics and Gemini Robotics-ER",
   "bucket": "prod",
   "status": "released (trusted testers; Apptronik partnership)",
   "status_date": "2025-03-12",
   "status_detail": null,
   "one_line": "Gemini-based models that let robots act on what they see and are told; the ER version adds spatial reasoning for robot builders.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Gemini-based models that let robots act on what they see and are told; the ER version adds spatial reasoning for robot builders.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/gemini-robotics-brings-ai-into-the-physical-world/",
    "https://deepmind.google/blog/page/7/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/gemini-robotics-brings-ai-into-the-physical-world/",
     "quotes": [
      "Gemini Robotics is also adept at dealing with new objects, diverse instructions, and new environments."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "Gemini Robotics brings AI into the physical world\" (index, March 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (trusted testers; Apptronik partnership)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Apptronik"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7106",
   "name": "Gemini Robotics On-Device",
   "bucket": "prod",
   "status": "released (SDK for trusted testers)",
   "status_date": "2025-06-24",
   "status_detail": null,
   "one_line": "A robotics model for two-armed robots that runs on the robot itself, without a network connection, and can be fine-tuned.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A robotics model for two-armed robots that runs on the robot itself, without a network connection, and can be fine-tuned.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/gemini-robotics-on-device-brings-ai-to-local-robotic-devices/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/gemini-robotics-on-device-brings-ai-to-local-robotic-devices/",
     "quotes": [
      "Gemini Robotics On-Device is the first VLA model we're making available for fine-tuning."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini Robotics On-Device 2\" (updated 30 July 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (SDK for trusted testers)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7107",
   "name": "Gemini Robotics 1.5 and Gemini Robotics-ER 1.5",
   "bucket": "prod",
   "status": "released (ER 1.5 via Gemini API; 1.5 to select partners)",
   "status_date": "2025-09-25",
   "status_detail": null,
   "one_line": "A robot action model that reasons before acting, paired with a planning model that can call tools such as Google Search.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A robot action model that reasons before acting, paired with a planning model that can call tools such as Google Search.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/gemini-robotics-15-brings-ai-agents-into-the-physical-world/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/gemini-robotics-15-brings-ai-agents-into-the-physical-world/",
     "quotes": [
      "Gemini Robotics-ER 1.5 is the first thinking model optimized for embodied reasoning."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini Robotics 1.5\" (updated 25 September 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (ER 1.5 via Gemini API; 1.5 to select partners)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7108",
   "name": "AlphaEarth Foundations",
   "bucket": "prod",
   "status": "released (Satellite Embedding dataset in Google Earth Engine)",
   "status_date": "2025-07-30",
   "status_detail": null,
   "one_line": "An AI model that combines satellite and other Earth data into one map-like representation for tracking land and environment.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI model that combines satellite and other Earth data into one map-like representation for tracking land and environment.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/",
    "https://deepmind.google/models/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/",
     "quotes": [
      "Today, we're introducing AlphaEarth Foundations, an artificial intelligence (AI) model that functions like a virtual satellite."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/",
     "quotes": [
      "Map our planet in unprecedented detail"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (Satellite Embedding dataset in Google Earth Engine)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7109",
   "name": "Aeneas",
   "bucket": "prod",
   "status": "released (free tool; open code and data)",
   "status_date": "2025-07-23",
   "status_detail": null,
   "one_line": "An AI model that helps historians date, place and restore ancient Latin inscriptions.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI model that helps historians date, place and restore ancient Latin inscriptions.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/aeneas-transforms-how-historians-connect-the-past/",
    "https://deepmind.google/blog/page/12"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/aeneas-transforms-how-historians-connect-the-past/",
     "quotes": [
      "Aeneas greatly accelerates this complex and time-consuming work."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/12",
     "quotes": [
      "Predicting the past with Ithaca\" (index, March 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (free tool; open code and data)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7110",
   "name": "Gemini 1.0",
   "bucket": "prod",
   "status": "released (superseded)",
   "status_date": "2023-12",
   "status_detail": null,
   "one_line": "Google DeepMind's first Gemini model family, described at launch as its largest and most capable AI model.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models. [Gemini gap Round 1, 31 Oct 2026] Technical report: 'Gemini: A Family of Highly Capable Multimodal Models', arXiv:2312.11805 (first arXiv version submitted 19 December 2023).",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's first Gemini model family, described at launch as its largest and most capable AI model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/9/",
    "https://deepmind.google/models/model-cards/",
    "https://arxiv.org/abs/2312.11805"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "Introducing Gemini: our largest and most capable AI model\" (December 2023)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 1.0\" (model card link to technical report)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/abs/2312.11805",
     "quotes": [
      "Gemini: A Family of Highly Capable Multimodal Models (arXiv:2312.11805, submitted on 19 Dec 2023)"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (superseded)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7111",
   "name": "Gemini 1.5",
   "bucket": "prod",
   "status": "released (superseded)",
   "status_date": "2024-02",
   "status_detail": null,
   "one_line": "The second Gemini generation; a May 2024 update added a faster model and a longer context window.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The second Gemini generation; a May 2024 update added a faster model and a longer context window.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/9/",
    "https://deepmind.google/blog/page/8/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "Our next-generation model: Gemini 1.5\" (February 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "Gemini breaks new ground: a faster model, longer context and AI agents\" (May 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (superseded)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7112",
   "name": "Gemma (first generation)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2024-02",
   "status_detail": null,
   "one_line": "Google's first family of lightweight open-weight models, built from the technology behind Gemini.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google's first family of lightweight open-weight models, built from the technology behind Gemini.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/9/",
    "https://deepmind.google/models/gemma/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "Gemma: Introducing new state-of-the-art open models\" (February 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/gemma/",
     "quotes": [
      "Gemma is a collection of lightweight, open models built from the same technology that powers our Gemini models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7113",
   "name": "SIMA (Scalable Instructable Multiworld Agent)",
   "bucket": "prod",
   "status": "research only (technical report)",
   "status_date": "2024-03-13",
   "status_detail": null,
   "one_line": "An AI agent that follows spoken-style instructions to carry out tasks in 3D video games using keyboard and mouse.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI agent that follows spoken-style instructions to carry out tasks in 3D video games using keyboard and mouse.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/sima-generalist-ai-agent-for-3d-virtual-environments/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/sima-generalist-ai-agent-for-3d-virtual-environments/",
     "quotes": [
      "This is early-stage research and we look forward to further building on SIMA across more training environments."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "A generalist AI agent for 3D virtual environments\" (index, March 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research only (technical report)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7114",
   "name": "SIMA 2",
   "bucket": "prod",
   "status": "limited research preview",
   "status_date": "2025-11-13",
   "status_detail": null,
   "one_line": "A Gemini-powered game agent that follows instructions, reasons about goals, talks with users and improves itself in 3D worlds.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Gemini-powered game agent that follows instructions, reasons about goals, talks with users and improves itself in 3D worlds.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/",
    "https://deepmind.google/models/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/",
     "quotes": [
      "This is a significant step in the direction of Artificial General Intelligence (AGI)."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/",
     "quotes": [
      "An agent that plays, reasons, and learns with you"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "limited research preview",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7115",
   "name": "TacticAI",
   "bucket": "prod",
   "status": "released (paper; Liverpool FC collaboration)",
   "status_date": "2024-03-19",
   "status_detail": null,
   "one_line": "An AI assistant that advises football coaches on corner kicks by predicting outcomes and suggesting player positions.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "decision AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI assistant that advises football coaches on corner kicks by predicting outcomes and suggesting player positions.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/tacticai-ai-assistant-for-football-tactics/",
    "https://deepmind.google/blog/page/9/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/tacticai-ai-assistant-for-football-tactics/",
     "quotes": [
      "TacticAI demonstrates the potential of assistive AI techniques to revolutionize sports for players, coaches, and fans."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/9/",
     "quotes": [
      "TacticAI: an AI assistant for football tactics\" (index, March 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "decision AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper; Liverpool FC collaboration)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Liverpool FC"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7116",
   "name": "Gemma Scope",
   "bucket": "prod",
   "status": "released (open sparse autoencoders)",
   "status_date": "2024-07-31",
   "status_detail": null,
   "one_line": "Open tools that let safety researchers look inside Gemma 2 models to see how they process information.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open tools that let safety researchers look inside Gemma 2 models to see how they process information.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/gemma-scope-helping-the-safety-community-shed-light-on-the-inner-workings-of-language-models/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/gemma-scope-helping-the-safety-community-shed-light-on-the-inner-workings-of-language-models/",
     "quotes": [
      "Gemma Scope is also trained with our new, state-of-the-art JumpReLU SAE architecture."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Open interpretability tools for language models are now available across the entire Gemma 3 family\" (16 Dec 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open sparse autoencoders)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7117",
   "name": "AlphaChip",
   "bucket": "prod",
   "status": "released (open checkpoint and weights)",
   "status_date": "2024-09-26",
   "status_detail": null,
   "one_line": "A reinforcement-learning method that lays out computer chips, used for Google's TPU designs.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "algorithm discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A reinforcement-learning method that lays out computer chips, used for Google's TPU designs.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/how-alphachip-transformed-computer-chip-design/",
    "https://deepmind.google/blog/page/8/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/how-alphachip-transformed-computer-chip-design/",
     "quotes": [
      "It generates superhuman or comparable chip layouts in hours, rather than taking weeks or months of human effort."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "How AlphaChip transformed computer chip design\" (index, September 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "algorithm discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open checkpoint and weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7118",
   "name": "CodeMender",
   "bucket": "prod",
   "status": "research (not public; human-reviewed patches)",
   "status_date": "2025-10-06",
   "status_detail": null,
   "one_line": "An AI agent that finds and fixes security flaws in software and rewrites code to make it safer.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI agent that finds and fixes security flaws in software and rewrites code to make it safer.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/introducing-codemender-an-ai-agent-for-code-security/",
    "https://deepmind.google/blog/page/5/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/introducing-codemender-an-ai-agent-for-code-security/",
     "quotes": [
      "Currently, all patches generated by CodeMender are reviewed by human researchers before they're submitted upstream."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "Introducing CodeMender: an AI agent for code security\" (index, October 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research (not public; human-reviewed patches)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7119",
   "name": "Ithaca",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2022-03",
   "status_detail": null,
   "one_line": "An AI model for ancient Greek inscriptions; the predecessor of Aeneas.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI model for ancient Greek inscriptions; the predecessor of Aeneas.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/12"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/12",
     "quotes": [
      "Predicting the past with Ithaca\" (March 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7120",
   "name": "WaveNet (in Google Assistant)",
   "bucket": "prod",
   "status": "released (in product)",
   "status_date": "2017-10",
   "status_detail": null,
   "one_line": "DeepMind's raw-audio speech generation model (first published 2016), launched in Google Assistant in October 2017.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "DeepMind's raw-audio speech generation model (first published 2016), launched in Google Assistant in October 2017.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/17/",
    "https://deepmind.google/blog/page/14/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/17/",
     "quotes": [
      "WaveNet launches in the Google Assistant\" (October 2017)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/14/",
     "quotes": [
      "Using WaveNet technology to reunite speech-impaired users with their original voices\" (December 2019)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (in product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7121",
   "name": "Agent57",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2020-03",
   "status_detail": null,
   "one_line": "A DeepMind game-playing agent reported to outperform the human benchmark on Atari games.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A DeepMind game-playing agent reported to outperform the human benchmark on Atari games.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/14/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/14/",
     "quotes": [
      "Agent57: Outperforming the human Atari benchmark\" (March 2020)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7122",
   "name": "MuJoCo (open-sourced physics simulator)",
   "bucket": "prod",
   "status": "released (open source)",
   "status_date": "2022-05",
   "status_detail": null,
   "one_line": "A physics simulator for robotics research that DeepMind opened up in 2021 and open-sourced in 2022.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A physics simulator for robotics research that DeepMind opened up in 2021 and open-sourced in 2022.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/12",
    "https://deepmind.google/blog/page/13"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/12",
     "quotes": [
      "Open-sourcing MuJoCo\" (May 2022)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/13",
     "quotes": [
      "Opening up a physics simulator for robotics\" (October 2021)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open source)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7123",
   "name": "Streams (DeepMind Health app)",
   "bucket": "prod",
   "status": "released (NHS hospital app)",
   "status_date": "2017-11",
   "status_detail": null,
   "one_line": "A mobile app for NHS hospital clinicians; DeepMind published a post explaining why it did not use AI.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A mobile app for NHS hospital clinicians; DeepMind published a post explaining why it did not use AI.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/17/",
    "https://deepmind.google/blog/page/16"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/17/",
     "quotes": [
      "Why doesn't Streams use AI?\" (November 2017)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/16",
     "quotes": [
      "Scaling Streams with Google\" (November 2018)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (NHS hospital app)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "supplies",
     "name": "Royal Free London NHS Foundation Trust"
    },
    {
     "kind": "supplies",
     "name": "Yeovil District Hospital NHS Foundation Trust"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7124",
   "name": "AlphaGenome",
   "bucket": "prod",
   "status": "released (API preview for non-commercial research)",
   "status_date": "2025-06-25",
   "status_detail": null,
   "one_line": "An AI model that predicts how single DNA changes affect the processes that switch genes on and off.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI model that predicts how single DNA changes affect the processes that switch genes on and off.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphagenome-ai-for-better-understanding-the-genome/",
    "https://deepmind.google/blog/page/6/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphagenome-ai-for-better-understanding-the-genome/",
     "quotes": [
      "AlphaGenome offers several distinctive features compared to existing DNA sequence models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "AlphaGenome: AI for better understanding the genome\" (index, June 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API preview for non-commercial research)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7125",
   "name": "Genie 3",
   "bucket": "prod",
   "status": "limited research preview",
   "status_date": "2025-08-05",
   "status_detail": null,
   "one_line": "A world model that builds explorable, interactive virtual worlds from a text description in real time.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A world model that builds explorable, interactive virtual worlds from a text description in real time.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/",
    "https://deepmind.google/blog/page/6/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/",
     "quotes": [
      "Each of these models marks progress along different capabilities of world simulation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "Genie 3: A new frontier for world models\" (index, August 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "limited research preview",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7126",
   "name": "Project Genie",
   "bucket": "prod",
   "status": "released (prototype for Google AI Ultra subscribers in the US)",
   "status_date": "2026-01-29",
   "status_detail": null,
   "one_line": "An experimental app in which users create and explore AI-generated interactive worlds.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An experimental app in which users create and explore AI-generated interactive worlds.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Project Genie, an experimental research prototype that lets you create and explore worlds.\" (29 Jan 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Simulate real-world places with Project Genie and Street View\" (17 May 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (prototype for Google AI Ultra subscribers in the US)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7127",
   "name": "AlphaGenome Atlas",
   "bucket": "prod",
   "status": "released (free portal for academic research; API)",
   "status_date": "2026-09-08",
   "status_detail": null,
   "one_line": "A free catalogue predicting the molecular effects of about 9 billion possible single-letter changes in the human genome.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A free catalogue predicting the molecular effects of about 9 billion possible single-letter changes in the human genome.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/",
     "quotes": [
      "It is the most comprehensive catalogue of how genetic mutations affect molecular biology."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (free portal for academic research; API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7128",
   "name": "Genie 4",
   "bucket": "prod",
   "status": "research preview (trusted testers; waitlist)",
   "status_date": "2026-10-27",
   "status_detail": null,
   "one_line": "Google DeepMind's newest world model, generating interactive worlds in real time with sound, physics and characters steered by text.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's newest world model, generating interactive worlds in real time with sound, physics and characters steered by text.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/",
    "https://deepmind.google/models/genie/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/",
     "quotes": [
      "Genie 4 is our first real-time world model to generate audio natively."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/genie/",
     "quotes": [
      "Genie 4 is our most realistic and interactive world model yet."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research preview (trusted testers; waitlist)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7129",
   "name": "Gemini 2.0 (Flash, Flash-Lite)",
   "bucket": "prod",
   "status": "released (superseded)",
   "status_date": "2024-12",
   "status_detail": null,
   "one_line": "The Gemini generation Google DeepMind introduced for the \"agentic era\", with Flash and Flash-Lite models for developers.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The Gemini generation Google DeepMind introduced for the \"agentic era\", with Flash and Flash-Lite models for developers.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/",
    "https://deepmind.google/blog/page/7/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "Introducing Gemini 2.0: our new AI model for the agentic era\" (December 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "Gemini 2.0 is now available to everyone\" (February 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (superseded)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7130",
   "name": "Gemini 2.5 (Pro, Flash, Flash-Lite, Deep Think)",
   "bucket": "prod",
   "status": "released (superseded by Gemini 3)",
   "status_date": "2025-03",
   "status_detail": null,
   "one_line": "Gemini's \"thinking\" model generation of 2025; an advanced Deep Think version reached gold-medal standard at the International Mathematical Olympiad.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Gemini's \"thinking\" model generation of 2025; an advanced Deep Think version reached gold-medal standard at the International Mathematical Olympiad.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/",
    "https://deepmind.google/blog/page/6/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "Gemini 2.5: Our most intelligent AI model\" (March 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical…\" (July 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (superseded by Gemini 3)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7131",
   "name": "Gemini 2.5 Computer Use",
   "bucket": "prod",
   "status": "released (model card)",
   "status_date": "2025-10",
   "status_detail": null,
   "one_line": "A Gemini model that operates computer interfaces such as web pages by clicking and typing.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Gemini model that operates computer interfaces such as web pages by clicking and typing.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/5/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "Introducing the Gemini 2.5 Computer Use model\" (October 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 2.5 Computer Use\" (updated 7 October 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (model card)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7132",
   "name": "Gemini 3 Pro",
   "bucket": "prod",
   "status": "released (superseded by 3.1 Pro)",
   "status_date": "2025-11-18",
   "status_detail": null,
   "one_line": "The first Gemini 3 model, launched in November 2025 for consumers and developers.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The first Gemini 3 model, launched in November 2025 for consumers and developers.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/5/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "A new era of intelligence with Gemini 3\" (November 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3 Pro\" (updated 18 November 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (superseded by 3.1 Pro)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7133",
   "name": "Nano Banana Pro (Gemini 3 Pro Image)",
   "bucket": "prod",
   "status": "released (Gemini app and API)",
   "status_date": "2025-11-20",
   "status_detail": null,
   "one_line": "Google DeepMind's Gemini 3 Pro image generation and editing model.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's Gemini 3 Pro image generation and editing model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/5/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "Build with Nano Banana Pro, our Gemini 3 Pro Image model\" (November 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3 Pro Image\" (updated 20 November 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (Gemini app and API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7134",
   "name": "Gemini 3 Flash",
   "bucket": "prod",
   "status": "released",
   "status_date": "2025-12-17",
   "status_detail": null,
   "one_line": "A fast, lower-cost Gemini 3 model.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A fast, lower-cost Gemini 3 model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.\" (17 Dec 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3 Flash\" (updated 17 December 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7135",
   "name": "Gemini 3 Deep Think",
   "bucket": "prod",
   "status": "released (updated reasoning mode)",
   "status_date": "2026-02-12",
   "status_detail": null,
   "one_line": "Gemini's most specialised reasoning mode, updated for science, research and engineering problems.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI reasoning"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Gemini's most specialised reasoning mode, updated for science, research and engineering problems.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Our most specialized reasoning mode is now updated to solve modern science, research and engineering challenges.\" (12 Feb 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Accelerating Mathematical and Scientific Discovery with Gemini Deep Think\" (9 Feb 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (updated reasoning mode)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7136",
   "name": "Gemini 3.1 Pro",
   "bucket": "prod",
   "status": "released (API and apps)",
   "status_date": "2026-02-19",
   "status_detail": null,
   "one_line": "Google DeepMind's February 2026 Pro model for complex reasoning and coding tasks.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's February 2026 Pro model for complex reasoning and coding tasks.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/model-cards/gemini-3-1-pro/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/model-cards/gemini-3-1-pro/",
     "quotes": [
      "Gemini 3.1 Pro is the next iteration in the Gemini 3 series of models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "3.1 Pro is designed for tasks where a simple answer isn't enough.\" (19 Feb 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API and apps)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7137",
   "name": "Nano Banana 2 (Gemini 3.1 Flash Image)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-02-26",
   "status_detail": null,
   "one_line": "A fast Gemini image generation model with Pro-level features.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A fast Gemini image generation model with Pro-level features.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Our latest image generation model offers advanced world knowledge, production ready specs, subject consistency and more, all at Flash speed."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3.1 Flash Image\" (updated 26 February 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7138",
   "name": "Gemini 3.1 Flash-Lite",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-03-03",
   "status_detail": null,
   "one_line": "The fastest, cheapest Gemini 3 series model at its release.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The fastest, cheapest Gemini 3 series model at its release.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3.1 Flash-Lite\" (updated 3 March 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7139",
   "name": "Gemini 3.1 Flash Live and Gemini 3.1 Flash TTS",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-03-26",
   "status_detail": null,
   "one_line": "Gemini voice models: Flash Live for real-time spoken conversation and Flash TTS for directed, expressive speech.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Gemini voice models: Flash Live for real-time spoken conversation and Flash TTS for directed, expressive speech.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Our latest voice model has improved precision and lower latency to make voice interactions more fluid, natural and precise."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Our newest audio model introduces granular audio tags that give you precise control to direct AI speech"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7140",
   "name": "Gemini 3.5 Flash",
   "bucket": "prod",
   "status": "released (apps, API, Antigravity)",
   "status_date": "2026-05-15",
   "status_detail": null,
   "one_line": "The first Gemini 3.5 model, built for complex, multi-step agent tasks.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The first Gemini 3.5 model, built for complex, multi-step agent tasks.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/model-cards/gemini-3-5-flash/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/model-cards/gemini-3-5-flash/",
     "quotes": [
      "Gemini 3.5 Flash is the next iteration in the Gemini 3 series of highly-capable, natively multimodal, reasoning models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 3.5 is built to help you execute complex, agentic workflows.\" (15 May 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (apps, API, Antigravity)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7141",
   "name": "Gemini Omni (Omni, Omni Flash, Omni 1.1 Flash)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-05-17",
   "status_detail": null,
   "one_line": "Google DeepMind's model for creating content \"from anything\", starting with video.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's model for creating content \"from anything\", starting with video.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/",
     "quotes": [
      "Create anything from anything, starting with video"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini Omni 1.1 Flash lets you build with more control\" (27 Aug 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7142",
   "name": "Google Antigravity (and Antigravity 2.0)",
   "bucket": "prod",
   "status": "released (product)",
   "status_date": "2025-11",
   "status_detail": null,
   "one_line": "A Google product, launched November 2025, through which Gemini models and DeepMind tools (such as an AlphaGenome skill) are offered; version 2.0 followed in May 2026.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Google product, launched November 2025, through which Gemini models and DeepMind tools (such as an AlphaGenome skill) are offered; version 2.0 followed in May 2026.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/5/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "Introducing Google Antigravity\" (November 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Introducing Google Antigravity 2.0\" (17 May 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7143",
   "name": "Gemini 3.5 Live Translate and Gemini 3.5 Transcribe",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-06-09",
   "status_detail": null,
   "one_line": "Gemini speech models for near real-time spoken translation and for speech-to-text transcription.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Gemini speech models for near real-time spoken translation and for speech-to-text transcription.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Now you can get more intelligent speech-to-text transcription with Gemini 3.5 Transcribe."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7144",
   "name": "Gemini 3.5 Flash Cyber (and 3.8 Flash Cyber)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-07-17",
   "status_detail": null,
   "one_line": "A lightweight Gemini model for finding and patching software security flaws.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A lightweight Gemini model for finding and patching software security flaws.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Introducing Gemini 3.8 Flash and 3.8 Flash Cyber\" (2 Sep 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7145",
   "name": "Gemini 3.6 Flash and Gemini 3.5 Flash-Lite",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-07-21",
   "status_detail": null,
   "one_line": "Mid-2026 Gemini Flash and Flash-Lite models for faster, cheaper tasks.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Mid-2026 Gemini Flash and Flash-Lite models for faster, cheaper tasks.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "We're introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3.6 Flash\" (updated 21 July 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7146",
   "name": "Gemini 3.7 Flash",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-08-13",
   "status_detail": null,
   "one_line": "An August 2026 Gemini Flash model.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An August 2026 Gemini Flash model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Introducing Gemini 3.7 Flash\" (13 Aug 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3.7 Flash\" (updated 13 August 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7147",
   "name": "Gemini 3.8 Flash",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-09-02",
   "status_detail": null,
   "one_line": "Google DeepMind's current Flash model, aimed at complex agent tasks at scale.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's current Flash model, aimed at complex agent tasks at scale.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/",
     "quotes": [
      "Best for tackling complex agentic tasks at scale"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 3.8 Flash\" (updated 2 September 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7148",
   "name": "Gemini 3.8 audio models (Live, Live Extended Thinking, TTS, Live Avatar)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-09-15",
   "status_detail": null,
   "one_line": "Gemini's September 2026 real-time voice, text-to-speech and talking-avatar models.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Gemini's September 2026 real-time voice, text-to-speech and talking-avatar models.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking\" (15 Sep 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Introducing Gemini 3.8 Live with Live Avatar\" (24 Sep 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7149",
   "name": "Gemini 4 Argon",
   "bucket": "prod",
   "status": "released (apps, API, AI Studio, Antigravity)",
   "status_date": "2026-10-13",
   "status_detail": null,
   "one_line": "The first Gemini 4 model, aimed at software engineering, law, finance and defensive security work.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The first Gemini 4 model, aimed at software engineering, law, finance and defensive security work.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/model-cards/gemini-4-argon/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/model-cards/gemini-4-argon/",
     "quotes": [
      "Gemini 4 Argon delivers frontier performance to help in complex workflows across real-world software engineering"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 4 Argon: Built to solve your hardest problems\" (13 Oct 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (apps, API, AI Studio, Antigravity)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7150",
   "name": "Gemini 4 Argon for Robotics",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-10-13",
   "status_detail": null,
   "one_line": "A robotics version of Gemini 4 Argon.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A robotics version of Gemini 4 Argon.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 4 Argon for Robotics\" (13 Oct 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7151",
   "name": "Gemini 4 Carbon",
   "bucket": "prod",
   "status": "released (announced)",
   "status_date": "2026-10-28",
   "status_detail": null,
   "one_line": "Google DeepMind's newest frontier Gemini model, announced two days before this ledger's cut-off.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's newest frontier Gemini model, announced two days before this ledger's cut-off.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini 4 Carbon: Our next frontier model\" (28 Oct 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/",
     "quotes": [
      "Our next era of frontier intelligence"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (announced)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7152",
   "name": "Gemma 3 (incl. Gemma 3 270M)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-03",
   "status_detail": null,
   "one_line": "The third generation of Google's open-weight Gemma models; a tiny 270-million-parameter version followed in August 2025.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The third generation of Google's open-weight Gemma models; a tiny 270-million-parameter version followed in August 2025.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/",
    "https://deepmind.google/blog/page/6/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "Introducing Gemma 3\" (March 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "Introducing Gemma 3 270M: The compact model for hyper-efficient AI\" (August 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7153",
   "name": "Gemma 3n",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-06",
   "status_detail": null,
   "one_line": "An open Gemma model variant introduced in June 2025 with a developer guide.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An open Gemma model variant introduced in June 2025 with a developer guide.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/6/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "Introducing Gemma 3n: The developer guide\" (June 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemma 3n\" (updated 17 June 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7154",
   "name": "MedGemma (incl. MedGemma 1.5 4B)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-07",
   "status_detail": null,
   "one_line": "Open Gemma-based models for building health AI applications.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open Gemma-based models for building health AI applications.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/6/",
    "https://deepmind.google/models/gemma/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "MedGemma: Our most capable open models for health AI development\" (July 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/gemma/",
     "quotes": [
      "MedGemma 1.5 4B\" (January 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7155",
   "name": "T5Gemma (and T5Gemma 2)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-07",
   "status_detail": null,
   "one_line": "A collection of Gemma models with an encoder-decoder design.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A collection of Gemma models with an encoder-decoder design.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/6/",
    "https://deepmind.google/models/gemma/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "T5Gemma: A new collection of encoder-decoder Gemma models\" (July 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/gemma/",
     "quotes": [
      "T5Gemma 2\" (December 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7156",
   "name": "VaultGemma",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-09",
   "status_detail": null,
   "one_line": "A Gemma language model trained with differential privacy, a privacy-protecting training method.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Gemma language model trained with differential privacy, a privacy-protecting training method.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/5/",
    "https://deepmind.google/models/gemma/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "VaultGemma: The world's most capable differentially private LLM\" (September 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/gemma/",
     "quotes": [
      "VaultGemma\" (September 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7157",
   "name": "EmbeddingGemma (and EmbeddingGemma 2)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-09",
   "status_detail": null,
   "one_line": "Small open Gemma models that turn text (and, in version 2, other media) into numbers for search and retrieval.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Small open Gemma models that turn text (and, in version 2, other media) into numbers for search and retrieval.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "EmbeddingGemma 2: an open, lightweight multimodal embedding model\" (6 Oct 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "EmbeddingGemma\" (updated 25 September 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7158",
   "name": "FunctionGemma and TranslateGemma",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-12",
   "status_detail": null,
   "one_line": "Specialised open Gemma models: one for calling software functions, one for translation.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Specialised open Gemma models: one for calling software functions, one for translation.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/gemma/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/gemma/",
     "quotes": [
      "FunctionGemma\" (December 2025); \"TranslateGemma\" (January 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "FunctionGemma\" (updated 14 January 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7159",
   "name": "DolphinGemma",
   "bucket": "prod",
   "status": "research release",
   "status_date": "2025-04",
   "status_detail": null,
   "one_line": "A Gemma-based model used to help decode dolphin communication.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Gemma-based model used to help decode dolphin communication.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "DolphinGemma: How Google AI is helping decode dolphin communication\" (April 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research release",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7160",
   "name": "Gemma 4 (E2B, E4B, 12B, 26B, 31B)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2026-04-02",
   "status_detail": null,
   "one_line": "Google DeepMind's fourth generation of open-weight models, built for reasoning and agent workflows.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's fourth generation of open-weight models, built for reasoning and agent workflows.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/gemma/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/gemma/",
     "quotes": [
      "Gemma 4\" (April 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7161",
   "name": "DiffusionGemma",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2026-06-10",
   "status_detail": null,
   "one_line": "An open Gemma model that generates text by diffusion, which the lab says is four times faster.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An open Gemma model that generates text by diffusion, which the lab says is four times faster.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "DiffusionGemma: 4x faster text generation\" (10 Jun 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "DiffusionGemma\" (updated 10 June 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7162",
   "name": "Gemma Scope 2",
   "bucket": "prod",
   "status": "released (open tools)",
   "status_date": "2025-12-16",
   "status_detail": null,
   "one_line": "Open interpretability tools that let researchers inspect the inner workings of every Gemma 3 model.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open interpretability tools that let researchers inspect the inner workings of every Gemma 3 model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/gemma/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Open interpretability tools for language models are now available across the entire Gemma 3 family"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/gemma/",
     "quotes": [
      "Gemma Scope 2\" (December 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open tools)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7163",
   "name": "Veo 2",
   "bucket": "prod",
   "status": "released (superseded)",
   "status_date": "2024-12",
   "status_detail": null,
   "one_line": "Google DeepMind's second video generation model, released with Imagen 3 in December 2024.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's second video generation model, released with Imagen 3 in December 2024.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/",
    "https://deepmind.google/blog/page/7/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "State-of-the-art video and image generation with Veo 2 and Imagen 3\" (December 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "Generate videos in Gemini and Whisk with Veo 2\" (April 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (superseded)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7164",
   "name": "Imagen 3",
   "bucket": "prod",
   "status": "released (superseded)",
   "status_date": "2024-12",
   "status_detail": null,
   "one_line": "Google DeepMind's Imagen 3 image generation model, announced with Veo 2.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's Imagen 3 image generation model, announced with Veo 2.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "State-of-the-art video and image generation with Veo 2 and Imagen 3\" (December 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (superseded)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7165",
   "name": "Imagen 4",
   "bucket": "prod",
   "status": "released",
   "status_date": "2025-05-20",
   "status_detail": null,
   "one_line": "Google DeepMind's Imagen 4 image generation model.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's Imagen 4 image generation model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Imagen 4\" (updated 20 May 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7166",
   "name": "Veo 3 and Veo 3.1 (incl. Veo 3.1 Lite)",
   "bucket": "prod",
   "status": "released (Gemini app, Flow, Gemini API, AI Studio, Vids)",
   "status_date": "2025-10",
   "status_detail": null,
   "one_line": "Google DeepMind's leading video model, which makes 8-second clips at 1080p or 4K.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's leading video model, which makes 8-second clips at 1080p or 4K.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/veo/",
    "https://deepmind.google/blog/page/5/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/veo/",
     "quotes": [
      "Our leading video generation model, designed to empower filmmakers and storytellers."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "Introducing Veo 3.1 and advanced creative capabilities\" (October 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (Gemini app, Flow, Gemini API, AI Studio, Vids)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7167",
   "name": "Gemini 2.5 Flash Image",
   "bucket": "prod",
   "status": "released",
   "status_date": "2025-08",
   "status_detail": null,
   "one_line": "A Gemini image generation and editing model; the models page brands Gemini Image as \"Nano Banana\".",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Gemini image generation and editing model; the models page brands Gemini Image as \"Nano Banana\".",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/model-cards/",
    "https://deepmind.google/blog/page/6/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini 2.5 Flash and Gemini 2.5 Flash Image\" (updated 26 September 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/6/",
     "quotes": [
      "Image editing in Gemini just got a major upgrade\" (August 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7168",
   "name": "Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image) and Nano Banana 2.1",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-06-30",
   "status_detail": null,
   "one_line": "Lighter and updated versions of the Nano Banana 2 image model.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Lighter and updated versions of the Nano Banana 2 image model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Start building with Nano Banana 2 Lite and Gemini Omni Flash\" (30 Jun 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Nano Banana 2.1\" (updated 6 October 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7169",
   "name": "Lyria 3",
   "bucket": "prod",
   "status": "released (Gemini app, Vertex AI, AI Studio, YouTube, API)",
   "status_date": "2026-02-18",
   "status_detail": null,
   "one_line": "Google DeepMind's music generation model that turns a text prompt into a song; it made music creation available in the Gemini app.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's music generation model that turns a text prompt into a song; it made music creation available in the Gemini app.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/model-cards/lyria-3/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/model-cards/lyria-3/",
     "quotes": [
      "Lyria 3 is a music generation system capable of synthesizing high-quality audio from a text prompt."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "A new way to express yourself: Gemini can now create music\" (18 Feb 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (Gemini app, Vertex AI, AI Studio, YouTube, API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7170",
   "name": "Lyria 3 Pro",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-03-25",
   "status_detail": null,
   "one_line": "A Lyria music model that writes longer tracks with song structure.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Lyria music model that writes longer tracks with song structure.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Introducing Lyria 3 Pro, which unlocks longer tracks with structural awareness.\" (25 Mar 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7171",
   "name": "Lyria 3.5",
   "bucket": "prod",
   "status": "released (Google Flow Music; Gemini)",
   "status_date": "2026-07-29",
   "status_detail": null,
   "one_line": "Google DeepMind's newest music model, with better musicality, lyrics and vocals.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's newest music model, with better musicality, lyrics and vocals.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/lyria/",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/lyria/",
     "quotes": [
      "Our newest music generation model delivers significant advancements across musicality, lyrics, and vocal quality"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Lyria 3.5\" (updated 29 July 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (Google Flow Music; Gemini)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7172",
   "name": "Magenta RealTime and Lyria RealTime",
   "bucket": "prod",
   "status": "released (Magenta RealTime open; dates not on page)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Real-time interactive music generation models; Magenta RealTime is the open Lyria model.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Real-time interactive music generation models; Magenta RealTime is the open Lyria model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/lyria/",
    "https://deepmind.google/blog/page/7/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/lyria/",
     "quotes": [
      "Our Lyria open model explores the role of machine learning as a tool in the creative process."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "Music AI Sandbox, now with new features and broader access\" (April 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (Magenta RealTime open; dates not on page)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7173",
   "name": "Gemini Robotics-ER 1.6",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-04-13",
   "status_detail": null,
   "one_line": "A robotics reasoning model with better spatial and multi-camera understanding.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A robotics reasoning model with better spatial and multi-camera understanding.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/models/model-cards/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini Robotics ER 1.6: Enhancing spatial reasoning and multi-view understanding for autonomous robotics."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/model-cards/",
     "quotes": [
      "Gemini Robotics-ER 1.6\" (updated 20 April 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7174",
   "name": "Gemini Robotics 2 (with Robotics-ER 2 and On-Device 2)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-07-28",
   "status_detail": null,
   "one_line": "Google DeepMind's second-generation robot models, adding whole-body control, video understanding and multi-robot teamwork.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's second-generation robot models, adding whole-body control, video understanding and multi-robot teamwork.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini Robotics 2 brings whole body intelligence to robots\" (28 Jul 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7175",
   "name": "WeatherNext 2",
   "bucket": "prod",
   "status": "released",
   "status_date": "2025-11",
   "status_detail": null,
   "one_line": "Google DeepMind's November 2025 weather forecasting model.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's November 2025 weather forecasting model.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/5/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/5/",
     "quotes": [
      "WeatherNext 2: Our most advanced weather forecasting model\" (November 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa's historic landfall in Jamaica"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7177",
   "name": "SynthID Detector",
   "bucket": "prod",
   "status": "released (portal)",
   "status_date": "2025-05",
   "status_detail": null,
   "one_line": "A portal to help identify AI-generated content marked with SynthID.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A portal to help identify AI-generated content marked with SynthID.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "SynthID Detector — a new portal to help identify AI-generated content\" (May 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (portal)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7178",
   "name": "SynthID Bio",
   "bucket": "prod",
   "status": "proof of concept",
   "status_date": "2026-09-30",
   "status_detail": null,
   "one_line": "A proof of concept for watermarking AI-designed proteins without changing how they work.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A proof of concept for watermarking AI-designed proteins without changing how they work.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Proof of concept for watermarking AI-generated proteins while preserving biological function.\" (30 Sep 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "proof of concept",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7179",
   "name": "AlphaQubit",
   "bucket": "prod",
   "status": "research release",
   "status_date": "2024-11",
   "status_detail": null,
   "one_line": "An AI system aimed at quantum error correction (per its post address).",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "An AI system aimed at quantum error correction (per its post address).",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/8/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "AlphaQubit tackles one of quantum computing's biggest challenges\" (November 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research release",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7180",
   "name": "Co-Scientist",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-05-12",
   "status_detail": null,
   "one_line": "A Gemini-based multi-agent AI partner built to help researchers speed up scientific work.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Gemini-based multi-agent AI partner built to help researchers speed up scientific work.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Introducing Co-Scientist, a collaborative AI partner built with Gemini to help researchers accelerate scientific breakthroughs."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Co-Scientist: A multi-agent AI partner to accelerate research\" (12 May 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7181",
   "name": "AI co-clinician",
   "bucket": "prod",
   "status": "research",
   "status_date": "2026-04-30",
   "status_detail": null,
   "one_line": "Google DeepMind research towards an AI that works alongside clinicians in patient care.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind research towards an AI that works alongside clinicians in patient care.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Researching the path to AI-augmented care and development of an AI co-clinician.\" (30 Apr 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7182",
   "name": "D4RT",
   "bucket": "prod",
   "status": "research",
   "status_date": "2026-01-16",
   "status_detail": null,
   "one_line": "A model for reconstructing and tracking scenes in four dimensions (3D plus time), claimed to be much faster than earlier methods.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A model for reconstructing and tracking scenes in four dimensions (3D plus time), claimed to be much faster than earlier methods.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "D4RT: Unified, efficient 4D reconstruction and tracking up to 300x faster than prior methods."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7183",
   "name": "FACTS Grounding and FACTS Benchmark Suite",
   "bucket": "prod",
   "status": "released (benchmarks)",
   "status_date": "2024-12",
   "status_detail": null,
   "one_line": "Google DeepMind benchmarks that test how factually accurate language models are.",
   "description": "Researcher's caveat: two_sources. Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind benchmarks that test how factually accurate language models are.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/page/7/",
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/page/7/",
     "quotes": [
      "FACTS Grounding: A new benchmark for evaluating the factuality of large language models\" (December 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Systematically evaluating the factuality of large language models with the FACTS Benchmark Suite.\" (9 Dec 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (benchmarks)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7184",
   "name": "Gemini Embedding",
   "bucket": "prod",
   "status": "released (date not on page)",
   "status_date": null,
   "status_detail": null,
   "one_line": "A Gemini model that turns text and other media into numbers for search and retrieval.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Gemini model that turns text and other media into numbers for search and retrieval.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/",
     "quotes": [
      "State-of-the-art multimodal embedding model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (date not on page)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-7185",
   "name": "Decoupled DiLoCo",
   "bucket": "prod",
   "status": "research",
   "status_date": "2026-04-22",
   "status_detail": null,
   "one_line": "A Google DeepMind method for resilient training of AI across distributed computers.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "A Google DeepMind method for resilient training of AI across distributed computers.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/rss.xml"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/rss.xml",
     "quotes": [
      "Decoupled DiLoCo: A new frontier for resilient, distributed AI training\" (22 Apr 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-SU-HLT-3026",
   "name": "Cogitat",
   "bucket": "co",
   "status": "active",
   "status_date": null,
   "status_detail": null,
   "one_line": "Trains its own AI/ML brainwave decoders on EEG data for non-invasive brain-computer interfaces.",
   "description": "[Labs Round 8, 31 Oct 2026] awards: Ranked first in the NeurIPS \"Benchmarks for EEG Transfer Learning\" competition (year not given on the page) [Labs Round 8, 31 Oct 2026] Listed on Labs (Neuroscience): trains its own AI/ML brainwave decoders on EEG data for non-invasive brain-computer interfaces (product BIZ-LAB-10013)",
   "uk_status": "uk",
   "company": {
    "ch_number": "13078380",
    "ch_number_clean": "13078380",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/13078380",
    "ch_name": "COGITAT LTD",
    "legal_name": "COGITAT LTD",
    "status_registry": "Active",
    "incorporated": "11 December 2020",
    "sic_codes": [
     "62090 Other IT services"
    ]
   },
   "place": {
    "text": "London (registered office W8 6SN)",
    "postcode": "W8 6SN",
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "neuroscience"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Trains its own AI/ML brainwave decoders on EEG data for non-invasive brain-computer interfaces.",
   "affiliation": "Labs",
   "sources": [
    "https://cogitat.io/"
   ],
   "source_quotes": [
    {
     "url": "https://cogitat.io/",
     "quotes": [
      "core IP with cutting-edge AI/ML-empowered brainwave decoders trained on real-life EEG data"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "neuroscience",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (registered office W8 6SN)",
   "status_group": "active",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-10013"
   ]
  },
  {
   "id": "BIZ-LAB-10001",
   "name": "UK Atomic Energy Authority (UKAEA) fusion AI and computing programme",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-09-14",
   "status_detail": null,
   "one_line": "The UK Atomic Energy Authority trains AI models on fusion experiment data, including TokaMind, a plasma foundation model built with IBM and Hartree.",
   "description": "Researcher's caveat: high. Division as written: AI for science. [Labs Round 8, 31 Oct 2026] Latest money (as written): see existing DEAL-DC-012 (2026-03-16; £45m UK government backing for SUNRISE)",
   "uk_status": "UK-based (affiliation \"UK Atomic Energy Authority (UKAEA), Abingdon, UK\")",
   "company": {
    "legal_name": "UK Atomic Energy Authority"
   },
   "place": {
    "text": "Abingdon (arXiv author affiliation)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [
    {
     "name": "Rob Akers",
     "role": "Director of Computing Programmes and Senior Fellow",
     "from": null,
     "source": "https://www.world-nuclear-news.org/articles/uk-usa-enhance-cooperation-on-fusion-energy",
     "round4": true
    },
    {
     "name": "Joe Milnes",
     "role": "Executive Director for Engineering and Computing",
     "from": null,
     "source": "https://www.world-nuclear-news.org/articles/uk-usa-enhance-cooperation-on-fusion-energy",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "energy"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Companies",
   "function": "The UK Atomic Energy Authority trains AI models on fusion experiment data, including TokaMind, a plasma foundation model built with IBM and Hartree.",
   "affiliation": "Labs",
   "sources": [
    "https://arxiv.org/html/2602.15084v1",
    "https://www.world-nuclear-news.org/articles/uk-usa-enhance-cooperation-on-fusion-energy"
   ],
   "source_quotes": [
    {
     "url": "https://arxiv.org/html/2602.15084v1",
     "quotes": [
      "TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.world-nuclear-news.org/articles/uk-usa-enhance-cooperation-on-fusion-energy",
     "quotes": [
      "Our goal is to let models and experiments move freely between the two systems"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Abingdon (arXiv author affiliation)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-CLD-2028",
     "name": "Hartree Centre",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-2028",
     "page_label": "Cloud and compute"
    },
    {
     "kind": "member_of",
     "id": "BIZ-CLD-6028",
     "name": "Hartree Centre, IBM and UKAEA fusion foundation-model partnership",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-6028",
     "page_label": "Cloud and compute"
    },
    {
     "kind": "related",
     "id": "BIZ-DC-011",
     "name": "Sunrise, UKAEA Culham Campus",
     "page": "data-centres",
     "href": "../data-centres/#org=BIZ-DC-011",
     "page_label": "Data centres"
    },
    {
     "kind": "related",
     "id": "BIZ-CLD-2033",
     "name": "UKAEA fusion energy supercomputer",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-2033",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Princeton Plasma Physics Laboratory (no id)"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-10002",
    "BIZ-LAB-10015"
   ]
  },
  {
   "id": "BIZ-LAB-10002",
   "name": "TokaMind (fusion plasma foundation model)",
   "bucket": "prod",
   "status": "released (open source)",
   "status_date": "2026-02-16",
   "status_detail": null,
   "one_line": "Open-source foundation model for fusion plasma, trained on data from UKAEA's MAST tokamak by IBM Research, UKAEA and the Hartree Centre.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": "Built by UKAEA (Abingdon), IBM Research Europe (Dublin) and STFC Hartree Centre (Daresbury)",
   "company": null,
   "place": {
    "text": "Abingdon",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "energy"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open-source foundation model for fusion plasma, trained on data from UKAEA's MAST tokamak by IBM Research, UKAEA and the Hartree Centre.",
   "affiliation": "Labs",
   "sources": [
    "https://arxiv.org/html/2602.15084v1",
    "https://research.ibm.com/blog/fusion-plasma-ai-model"
   ],
   "source_quotes": [
    {
     "url": "https://arxiv.org/html/2602.15084v1",
     "quotes": [
      "TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://research.ibm.com/blog/fusion-plasma-ai-model",
     "quotes": [
      "On nearly all 14 tasks, the foundation model did better than a traditional machine-learning model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Abingdon",
   "status_group": "released (open source)",
   "ext_links": [
    {
     "kind": "made_by",
     "id": "BIZ-CLD-2028",
     "name": "Hartree Centre",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-2028",
     "page_label": "Cloud and compute"
    },
    {
     "kind": "part_of",
     "id": "BIZ-CLD-6028",
     "name": "Hartree Centre, IBM and UKAEA fusion foundation-model partnership",
     "page": "cloud",
     "href": "../cloud/#org=BIZ-CLD-6028",
     "page_label": "Cloud and compute"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-10001"
   ]
  },
  {
   "id": "BIZ-LAB-10003",
   "name": "European Centre for Medium-Range Weather Forecasts (ECMWF): machine-learned forecasting (AIFS)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-07-14",
   "status_detail": null,
   "one_line": "European weather centre hosted in Reading, UK, that trains and runs its own machine-learned forecasting models, AIFS Single and AIFS ENS.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": "Host country UK; facilities in Reading and Bonn, Germany (ECMWF, 7 Feb 2025)",
   "company": {
    "legal_name": "European Centre for Medium-Range Weather Forecasts"
   },
   "place": {
    "text": "Reading",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [
    {
     "name": "Florence Rabier",
     "role": "Director-General",
     "from": "as of Feb 2025",
     "source": "https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ai-forecasts-become-operational",
     "round4": true
    },
    {
     "name": "Florian Pappenberger",
     "role": "Director of Forecasts and Services",
     "from": "as of Feb 2025",
     "source": "https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ai-forecasts-become-operational",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Companies",
   "function": "European weather centre hosted in Reading, UK, that trains and runs its own machine-learned forecasting models, AIFS Single and AIFS ENS.",
   "affiliation": "Labs",
   "sources": [
    "https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ai-forecasts-become-operational",
    "https://www.ecmwf.int/en/about/media-centre/news/2025/new-10-year-ecmwf-strategy-emphasises-collaboration-and-machine"
   ],
   "source_quotes": [
    {
     "url": "https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ai-forecasts-become-operational",
     "quotes": [
      "The first operational version is called AIFS Single."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ecmwf.int/en/about/media-centre/news/2025/new-10-year-ecmwf-strategy-emphasises-collaboration-and-machine",
     "quotes": [
      "from our current facilities in Reading (in our host country, UK) and in Bonn (Germany)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Reading",
   "status_group": "active",
   "ext_links": [],
   "label_links": [],
   "degree": 4,
   "related_ids": [
    "BIZ-LAB-10004",
    "BIZ-LAB-10005",
    "BIZ-LAB-10006"
   ]
  },
  {
   "id": "BIZ-LAB-10004",
   "name": "AIFS Single (ECMWF Artificial Intelligence Forecasting System)",
   "bucket": "prod",
   "status": "operational",
   "status_date": "2025-02-25",
   "status_detail": null,
   "one_line": "ECMWF's first operational machine-learned weather model, run alongside its physics-based forecasts and trained on past weather data.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": "ECMWF (host country UK)",
   "company": null,
   "place": {
    "text": "Reading",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ECMWF's first operational machine-learned weather model, run alongside its physics-based forecasts and trained on past weather data.",
   "affiliation": "Labs",
   "sources": [
    "https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ai-forecasts-become-operational",
    "https://www.ecmwf.int/en/about/media-centre/aifs-blog/2026/farewell-external-ai-models"
   ],
   "source_quotes": [
    {
     "url": "https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ai-forecasts-become-operational",
     "quotes": [
      "These include increased speed and a reduction of approximately 1,000 times in energy use for making a forecast."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ecmwf.int/en/about/media-centre/aifs-blog/2026/farewell-external-ai-models",
     "quotes": [
      "we have decided to stop the real-time operation of the external ML models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Reading",
   "status_group": "operational",
   "ext_links": [],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-10003"
   ]
  },
  {
   "id": "BIZ-LAB-10005",
   "name": "AIFS ENS (ECMWF machine-learned ensemble forecast)",
   "bucket": "prod",
   "status": "operational",
   "status_date": "2025-10-28 (newsletter date; start date not given)",
   "status_detail": null,
   "one_line": "ECMWF's machine-learned ensemble forecast: 51 stochastic forecasts per run from a 229-million-parameter model trained on reanalysis and operational analyses.",
   "description": "Researcher's caveat: medium (single_source). Division as written: AI for science.",
   "uk_status": "ECMWF (host country UK)",
   "company": null,
   "place": {
    "text": "Reading",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ECMWF's machine-learned ensemble forecast: 51 stochastic forecasts per run from a 229-million-parameter model trained on reanalysis and operational analyses.",
   "affiliation": "Labs",
   "sources": [
    "https://www.ecmwf.int/en/newsletter/185/earth-system-science/aifs-ens-becomes-operational"
   ],
   "source_quotes": [
    {
     "url": "https://www.ecmwf.int/en/newsletter/185/earth-system-science/aifs-ens-becomes-operational",
     "quotes": [
      "AIFS ENS has successfully transitioned from research to operational status, providing highly skilful ensemble forecasts."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Reading",
   "status_group": "operational",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-10003"
   ]
  },
  {
   "id": "BIZ-LAB-10006",
   "name": "Anemoi (open-source machine-learning weather framework)",
   "bucket": "prod",
   "status": "in use (open source)",
   "status_date": "2026-07-14",
   "status_detail": null,
   "one_line": "Open-source framework for building machine-learned weather models, first developed at ECMWF and now co-developed with European national weather services.",
   "description": "Researcher's caveat: medium (single_source). Division as written: AI for science.",
   "uk_status": "ECMWF (host country UK)",
   "company": null,
   "place": {
    "text": "Reading",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open-source framework for building machine-learned weather models, first developed at ECMWF and now co-developed with European national weather services.",
   "affiliation": "Labs",
   "sources": [
    "https://www.ecmwf.int/en/about/media-centre/aifs-blog/2026/building-shared-foundations-machine-learned-weather-prediction"
   ],
   "source_quotes": [
    {
     "url": "https://www.ecmwf.int/en/about/media-centre/aifs-blog/2026/building-shared-foundations-machine-learned-weather-prediction",
     "quotes": [
      "the open-source ML framework originally developed at ECMWF"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Reading",
   "status_group": "in use (open source)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-10003"
   ]
  },
  {
   "id": "BIZ-LAB-10007",
   "name": "Pleiades (Prima Mente epigenome foundation models)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2025-07-16",
   "status_detail": null,
   "one_line": "Prima Mente's family of epigenome foundation models (90M, 600M, 7B parameters) trained on DNA methylation data to detect Alzheimer's signals in blood.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": "Lab based in London and San Francisco",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "neuroscience"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Prima Mente's family of epigenome foundation models (90M, 600M, 7B parameters) trained on DNA methylation data to detect Alzheimer's signals in blood.",
   "affiliation": "Labs",
   "sources": [
    "https://www.nvidia.com/en-us/case-studies/primamente/",
    "https://www.biospace.com/press-releases/prima-mente-launches-pleiades-a-large-scale-human-whole-epigenome-foundation-model-with-clinical-applications-for-alzheimers-disease"
   ],
   "source_quotes": [
    {
     "url": "https://www.nvidia.com/en-us/case-studies/primamente/",
     "quotes": [
      "The Pleiades 7B model was trained on 256 NVIDIA H200 GPUs and interconnected via the NVIDIA Quantum-2 InfiniBand platform."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.biospace.com/press-releases/prima-mente-launches-pleiades-a-large-scale-human-whole-epigenome-foundation-model-with-clinical-applications-for-alzheimers-disease",
     "quotes": [
      "Pleiades represents generative transformers (90M, 600M, and 7B parameters) trained on 1.9 trillion tokens"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "neuroscience",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-017"
   ]
  },
  {
   "id": "BIZ-LAB-14050",
   "name": "Pleiades-Neuron",
   "bucket": "prod",
   "status": "research (technical report)",
   "status_date": "2026-10-24",
   "status_detail": null,
   "one_line": "Prima Mente model that finds very rare DNA fragments shed by brain cells in blood.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": "Prima Mente (see record BIZ-LAB-017)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "neuroscience"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Prima Mente model that finds very rare DNA fragments shed by brain cells in blood.",
   "affiliation": "Labs",
   "sources": [
    "https://www.primamente.com/blog/pleiades-neuron/",
    "https://www.primamente.com/research/"
   ],
   "source_quotes": [
    {
     "url": "https://www.primamente.com/blog/pleiades-neuron/",
     "quotes": [
      "Pleiades-Neuron identifies neuron-derived fragments with extremely high sensitivity"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.primamente.com/research/",
     "quotes": [
      "We used our epigenetic foundation model, Pleiades, to detect ultra-rare neuronal cell-free DNA"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "neuroscience",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (technical report)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-017"
   ]
  },
  {
   "id": "BIZ-LAB-14079",
   "name": "Orbital (Applied Computing energy foundation model)",
   "bucket": "prod",
   "status": "live (product)",
   "status_date": "— (flagship product named in release of 28 May 2025; first public date not stated)",
   "status_detail": null,
   "one_line": "Applied Computing's AI for oil refineries and petrochemical plants, combining plant sensor data, physics and a chemical-engineering language model.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Applied Computing (see record BIZ-LAB-025)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "energy"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Applied Computing's AI for oil refineries and petrochemical plants, combining plant sensor data, physics and a chemical-engineering language model.",
   "affiliation": "Labs",
   "sources": [
    "https://appliedcomputing.com/press-release-28052025",
    "https://appliedcomputing.com/more/partnerships"
   ],
   "source_quotes": [
    {
     "url": "https://appliedcomputing.com/press-release-28052025",
     "quotes": [
      "Orbital is Applied Computing's flagship product, built using multi-foundation AI."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://appliedcomputing.com/more/partnerships",
     "quotes": [
      "Applied Computing supplies the Orbital foundation model to develop physics-informed solutions"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (product)",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-INV-2151",
     "name": "KBR",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2151",
     "page_label": "Investors"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-013",
     "name": "Amazon Web Services (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-013",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Wipro"
    },
    {
     "kind": "partner_of",
     "name": "Capgemini"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-025"
   ]
  },
  {
   "id": "BIZ-LAB-10010",
   "name": "GB National Solar Forecast (Open Climate Fix AI solar forecast)",
   "bucket": "prod",
   "status": "in use",
   "status_date": "2026-10-31 (as read)",
   "status_detail": null,
   "one_line": "Open Climate Fix's AI forecast of solar generation in Great Britain, combining satellite images, weather predictions and live data; used daily by NESO.",
   "description": "Researcher's caveat: medium (\"most accurate\" is OCF's claim). Division as written: Non-profit and independent research labs.",
   "uk_status": "GB product",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "energy"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open Climate Fix's AI forecast of solar generation in Great Britain, combining satellite images, weather predictions and live data; used daily by NESO.",
   "affiliation": "Labs",
   "sources": [
    "https://www.openclimatefix.org/work/solar-forecasting",
    "https://www.openclimatefix.org/our-model"
   ],
   "source_quotes": [
    {
     "url": "https://www.openclimatefix.org/work/solar-forecasting",
     "quotes": [
      "Now three years later we are their most accurate forecast, used daily in their control room"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.openclimatefix.org/our-model",
     "quotes": [
      "We develop AI tools and share knowledge to create smarter, more efficient renewable energy grids."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "in use",
   "ext_links": [],
   "label_links": [
    {
     "kind": "supplies",
     "name": "National Energy System Operator (NESO, no id)"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-10011",
   "name": "Real World Model (Stanhope AI)",
   "bucket": "prod",
   "status": "in testing (drones and robotics)",
   "status_date": "2026-02-12",
   "status_detail": null,
   "one_line": "Stanhope AI's on-device AI framework based on active inference, a neuroscience theory, being tested in autonomous drones and robots.",
   "description": "Researcher's caveat: high. [Labs Round 8, 31 Oct 2026] Latest money (as written): see existing DEAL-LC-074 (2026-02-12; funding_round; 8,000,000 USD; Frontline Ventures)",
   "uk_status": "UK (UCL and King's College London spin-out)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "decision AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stanhope AI's on-device AI framework based on active inference, a neuroscience theory, being tested in autonomous drones and robots.",
   "affiliation": "Labs",
   "sources": [
    "https://www.paladincapgroup.com/stanhope-ai-raises-8m-as-real-world-ai-model-gains-momentum-beyond-llms/",
    "https://www.siliconrepublic.com/start-ups/stanhope-ai-co-founded-irish-woman-raises-8m-funding-investment"
   ],
   "source_quotes": [
    {
     "url": "https://www.paladincapgroup.com/stanhope-ai-raises-8m-as-real-world-ai-model-gains-momentum-beyond-llms/",
     "quotes": [
      "Stanhope AI's lean, explainable models can run efficiently on-device, using minimal data and energy."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.siliconrepublic.com/start-ups/stanhope-ai-co-founded-irish-woman-raises-8m-funding-investment",
     "quotes": [
      "The investment marks a significant moment for the organisation as it prepares to advance its 'Real World Model'."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "decision AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "in testing (drones and robotics)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-10012",
   "name": "UnlikelyAI neurosymbolic platform",
   "bucket": "prod",
   "status": "in use",
   "status_date": "2026-07-22",
   "status_detail": null,
   "one_line": "UnlikelyAI's platform joining neural models with symbolic logic so banks, insurers and accountants can check AI decisions.",
   "description": "Researcher's caveat: high.",
   "uk_status": "— (not stated on pages read)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "decision AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "UnlikelyAI's platform joining neural models with symbolic logic so banks, insurers and accountants can check AI decisions.",
   "affiliation": "Labs",
   "sources": [
    "https://unlikely.ai/newsroom",
    "https://theinnovator.news/startup-of-the-week-unlikelyai/"
   ],
   "source_quotes": [
    {
     "url": "https://unlikely.ai/newsroom",
     "quotes": [
      "Neural where it must be. Symbolic where it matters most."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://theinnovator.news/startup-of-the-week-unlikelyai/",
     "quotes": [
      "Customers include Lloyds Banking Group and SBS Insurance."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "decision AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "in use",
   "ext_links": [
    {
     "kind": "supplies",
     "id": "BIZ-EST-002",
     "name": "Lloyds Banking Group AI programme",
     "page": "established",
     "href": "../established/#org=BIZ-EST-002",
     "page_label": "Established firms"
    }
   ],
   "label_links": [
    {
     "kind": "supplies",
     "name": "SBS Insurance (no id)"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-019"
   ]
  },
  {
   "id": "BIZ-LAB-10013",
   "name": "Cogitat brainwave decoders",
   "bucket": "prod",
   "status": "offered (as read)",
   "status_date": "2026-10-31 (as read)",
   "status_detail": null,
   "one_line": "Cogitat's AI decoders that turn brain signals from non-invasive EEG headsets into digital commands, built to work across devices without long calibration.",
   "description": "Researcher's caveat: medium (single_source).",
   "uk_status": "UK company (Cogitat Ltd)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "neuroscience"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Cogitat's AI decoders that turn brain signals from non-invasive EEG headsets into digital commands, built to work across devices without long calibration.",
   "affiliation": "Labs",
   "sources": [
    "https://cogitat.io/"
   ],
   "source_quotes": [
    {
     "url": "https://cogitat.io/",
     "quotes": [
      "core IP with cutting-edge AI/ML-empowered brainwave decoders trained on real-life EEG data"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "neuroscience",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "offered (as read)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-SU-HLT-3026"
   ]
  },
  {
   "id": "BIZ-LAB-10014",
   "name": "GPflow, GPflux and Trieste (Secondmind Labs open-source libraries)",
   "bucket": "prod",
   "status": "released (open source)",
   "status_date": "2026-10-31 (as read)",
   "status_detail": null,
   "one_line": "Secondmind Labs' open-source software for building Gaussian-process models, deep Gaussian processes and active-learning Bayesian optimisation.",
   "description": "Researcher's caveat: medium (single_source).",
   "uk_status": "— (not stated on pages read)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "decision AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Secondmind Labs' open-source software for building Gaussian-process models, deep Gaussian processes and active-learning Bayesian optimisation.",
   "affiliation": "Labs",
   "sources": [
    "https://www.secondmind.ai/secondmind-labs"
   ],
   "source_quotes": [
    {
     "url": "https://www.secondmind.ai/secondmind-labs",
     "quotes": [
      "the standard library for Gaussian process models in Python/Tensorflow"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "decision AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open source)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-10015",
   "name": "Uncertainty Engine (digiLab), as used for UKAEA plasma-turbulence models",
   "bucket": "prod",
   "status": "in use",
   "status_date": "2026-01-14",
   "status_detail": null,
   "one_line": "digiLab's machine-learning tool, used with UKAEA to build plasma-turbulence models with quantified uncertainty for spherical tokamak designs.",
   "description": "Researcher's caveat: medium (single_source).",
   "uk_status": "— (not stated on pages read)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "energy"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "digiLab's machine-learning tool, used with UKAEA to build plasma-turbulence models with quantified uncertainty for spherical tokamak designs.",
   "affiliation": "Labs",
   "sources": [
    "https://channellife.co.uk/story/ai-speeds-uk-fusion-tokamak-design-by-100-000-times"
   ],
   "source_quotes": [
    {
     "url": "https://channellife.co.uk/story/ai-speeds-uk-fusion-tokamak-design-by-100-000-times",
     "quotes": [
      "digiLab has worked with the UK Atomic Energy Authority (UKAEA) on artificial intelligence models"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "energy",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "in use",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-10001"
   ]
  },
  {
   "id": "BIZ-LAB-11001",
   "name": "Melia (Speechmatics multilingual speech-to-text model)",
   "bucket": "prod",
   "status": "live (production preview, batch transcription)",
   "status_date": "2026-06-17",
   "status_detail": null,
   "one_line": "Speechmatics' speech-to-text model that follows speakers who switch between languages within one recording.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Speechmatics' speech-to-text model that follows speakers who switch between languages within one recording.",
   "affiliation": "Labs",
   "sources": [
    "https://www.speechmatics.com/company/articles-and-news/introducing-melia-multilingual-speech-to-text-model",
    "https://www.speechmatics.com/"
   ],
   "source_quotes": [
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/introducing-melia-multilingual-speech-to-text-model",
     "quotes": [
      "Melia is early in its life and will keep improving quickly."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/",
     "quotes": [
      "A multilingual speech-to-text model from Speechmatics, with code-switching across 55+ languages."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live (production preview, batch transcription)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11002",
   "name": "Linden-1 (Speechmatics Agent STT model)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-09-17",
   "status_detail": null,
   "one_line": "Speechmatics' fast speech-recognition model built for AI voice agents, returning who said what in real time.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "voice agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Speechmatics' fast speech-recognition model built for AI voice agents, returning who said what in real time.",
   "affiliation": "Labs",
   "sources": [
    "https://www.speechmatics.com/company/articles-and-news/meet-agent-stt-powered-by-linden-1-fast-accurate-speech-recognition",
    "https://www.speechmatics.com/"
   ],
   "source_quotes": [
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/meet-agent-stt-powered-by-linden-1-fast-accurate-speech-recognition",
     "quotes": [
      "Linden holds the highest accuracy we've measured across 55+ languages at that speed."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/",
     "quotes": [
      "Agent STT, powered by Linden 1"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11003",
   "name": "Oak-1 (Speechmatics medical speech-to-text model)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-10-14",
   "status_detail": null,
   "one_line": "Speechmatics' medical transcription model for clinical consultations where several people speak and the language may change.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Speechmatics' medical transcription model for clinical consultations where several people speak and the language may change.",
   "affiliation": "Labs",
   "sources": [
    "https://www.speechmatics.com/company/articles-and-news/meet-oak-multilingual-medical-speech-to-text",
    "https://www.speechmatics.com/"
   ],
   "source_quotes": [
    {
     "url": "https://www.speechmatics.com/company/articles-and-news/meet-oak-multilingual-medical-speech-to-text",
     "quotes": [
      "It follows those changes without requiring a language to be selected in advance"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.speechmatics.com/",
     "quotes": [
      "our new medical model built for multilingual consultations"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11004",
   "name": "Oxa Driver",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-10-31",
   "status_detail": null,
   "one_line": "Oxa's self-driving software for industrial vehicles such as port and logistics trucks, covering perception, reasoning and vehicle control.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Oxa's self-driving software for industrial vehicles such as port and logistics trucks, covering perception, reasoning and vehicle control.",
   "affiliation": "Labs",
   "sources": [
    "https://oxa.tech/technology/",
    "https://oxa.tech/"
   ],
   "source_quotes": [
    {
     "url": "https://oxa.tech/technology/",
     "quotes": [
      "A physical AI system for safe and efficient autonomy, including perception, reasoning and vehicle control."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://oxa.tech/",
     "quotes": [
      "Safe, explainable and configurable self-driving software for any industrial vehicle."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11006",
   "name": "Syren (Synthesia prompt-to-video tool)",
   "bucket": "prod",
   "status": "beta",
   "status_date": "2026-10-09",
   "status_detail": null,
   "one_line": "Synthesia's tool that turns a written request or documents into a finished business video with motion graphics, avatars, voice and music.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia's tool that turns a written request or documents into a finished business video with motion graphics, avatars, voice and music.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/syren-studio",
    "https://www.synthesia.io/blog/category/synthesia"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/syren-studio",
     "quotes": [
      "Syren runs on a video rendering engine Synthesia built in-house."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/blog/category/synthesia",
     "quotes": [
      "Synthesia Launches Syren: Video and Motion Graphics from a Single Prompt"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "beta",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-11007",
   "name": "Recraft V3",
   "bucket": "prod",
   "status": "earlier model (still listed in docs; V4 is now the default)",
   "status_date": "2024-10-30",
   "status_detail": null,
   "one_line": "Recraft's 2024 image model for designers, able to place text in images and produce vector art.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Recraft's 2024 image model for designers, able to place text in images and produce vector art.",
   "affiliation": "Labs",
   "sources": [
    "https://www.recraft.ai/blog/recraft-introduces-a-revolutionary-ai-model-that-thinks-in-design-language",
    "https://www.recraft.ai/blog-announcements"
   ],
   "source_quotes": [
    {
     "url": "https://www.recraft.ai/blog/recraft-introduces-a-revolutionary-ai-model-that-thinks-in-design-language",
     "quotes": [
      "It secured #1 place with ELO rating of 1172."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/blog-announcements",
     "quotes": [
      "Recraft V3 is state-of-the-art in image generation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "earlier model (still listed in docs; V4 is now the default)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11008",
   "name": "Recraft V4 (V4, V4 Pro, Vector, Vector Pro)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-02-17",
   "status_detail": null,
   "one_line": "Recraft's rebuilt image model family, including versions that output editable vector (SVG) files from a text prompt.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Recraft's rebuilt image model family, including versions that output editable vector (SVG) files from a text prompt.",
   "affiliation": "Labs",
   "sources": [
    "https://www.recraft.ai/blog/introducing-recraft-v4-design-taste-meets-image-generation",
    "https://www.recraft.ai/blog-announcements"
   ],
   "source_quotes": [
    {
     "url": "https://www.recraft.ai/blog/introducing-recraft-v4-design-taste-meets-image-generation",
     "quotes": [
      "It's a ground-up rebuild focused on the things that actually matter when you're making images for real work."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/blog-announcements",
     "quotes": [
      "Design taste is V4’s core breakthrough"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11009",
   "name": "Recraft V4.1 (incl. Utility, Vector, Pro and Flash)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-05-14",
   "status_detail": null,
   "one_line": "Recraft's latest family of nine image models, from fast drafts to high-resolution and editable vector output.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Recraft's latest family of nine image models, from fast drafts to high-resolution and editable vector output.",
   "affiliation": "Labs",
   "sources": [
    "https://www.recraft.ai/docs/recraft-models/recraft-v4-1",
    "https://www.recraft.ai/press-releases/recraft-v4-1-utility-pro-becomes-the-highest-ranked-text-to-image-model-outside-google-and-openai"
   ],
   "source_quotes": [
    {
     "url": "https://www.recraft.ai/docs/recraft-models/recraft-v4-1",
     "quotes": [
      "V4.1, released on May 14, 2026"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.recraft.ai/press-releases/recraft-v4-1-utility-pro-becomes-the-highest-ranked-text-to-image-model-outside-google-and-openai",
     "quotes": [
      "Recraft builds AI models optimised for aesthetics."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11010",
   "name": "NEO avatar models (Colossyan: NEO, NEO 1.5, NEO 2)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-09",
   "status_detail": null,
   "one_line": "Colossyan's own avatar models that turn audio into talking-head and full-body presenter video; NEO 2 also powers its dubbing.",
   "description": "Researcher's caveat: medium.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Colossyan's own avatar models that turn audio into talking-head and full-body presenter video; NEO 2 also powers its dubbing.",
   "affiliation": "Labs",
   "sources": [
    "https://www.colossyan.com/research/",
    "https://www.colossyan.com/"
   ],
   "source_quotes": [
    {
     "url": "https://www.colossyan.com/research/",
     "quotes": [
      "Talking-head performances with natural head movements, facial expressions, and eye gaze from audio input."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.colossyan.com/",
     "quotes": [
      "Your content is never used to train our models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-11005",
   "name": "Oxa Foundry",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-10-31",
   "status_detail": null,
   "one_line": "Oxa's training and assurance toolchain that generates synthetic scenes and data to train and check its driving software for each new site.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "autonomous driving"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Oxa's training and assurance toolchain that generates synthetic scenes and data to train and check its driving software for each new site.",
   "affiliation": "Labs",
   "sources": [
    "https://oxa.tech/technology/",
    "https://oxa.tech/news-and-insights/accelerating-self-driving-software-development-with-multimodal-search/"
   ],
   "source_quotes": [
    {
     "url": "https://oxa.tech/technology/",
     "quotes": [
      "we leverage generative AI to train and assure Oxa Driver for each new customer site."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://oxa.tech/news-and-insights/accelerating-self-driving-software-development-with-multimodal-search/",
     "quotes": [
      "we’ve developed our own systems for multimodal search"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "autonomous driving",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12001",
   "name": "Intellegens",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-27",
   "status_detail": null,
   "one_line": "Cambridge spin-out whose Alchemite deep-learning software predicts materials and chemicals from sparse, noisy lab data.",
   "description": "Founded: 2017. Founders: Ben Pellegrini — CEO and co-founder; Gareth Conduit — CSO and co-founder. Researcher's caveat: high. Division as written: AI for science. [Labs Round 8, 31 Oct 2026] Latest money (as written): 2026-08-11; grant; amount not stated; Innovate UK (Frontier AI grants)",
   "uk_status": "UK-headquartered",
   "company": {
    "ch_number": "10591395",
    "ch_number_clean": "10591395",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10591395",
    "ch_name": "INTELLEGENS LIMITED",
    "legal_name": "INTELLEGENS LIMITED",
    "status_registry": "Active",
    "incorporated": "30 January 2017",
    "sic_codes": [
     "72190 Other R&D on natural sciences and engineering"
    ]
   },
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Ben Pellegrini",
     "role": "CEO and co-founder",
     "from": "2017",
     "source": "https://intellegens.com/about/team/",
     "round4": true
    },
    {
     "name": "Gareth Conduit",
     "role": "CSO and co-founder",
     "from": "2017",
     "source": "https://intellegens.com/about/team/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Cambridge spin-out whose Alchemite deep-learning software predicts materials and chemicals from sparse, noisy lab data.",
   "affiliation": "Labs",
   "sources": [
    "https://intellegens.com/",
    "https://intellegens.com/intellegens-wins-frontier-ai-grant-to-drive-next-gen-materials-innovation/"
   ],
   "source_quotes": [
    {
     "url": "https://intellegens.com/",
     "quotes": [
      "Advanced deep learning extracts value from real-world, sparse, noisy data."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://intellegens.com/intellegens-wins-frontier-ai-grant-to-drive-next-gen-materials-innovation/",
     "quotes": [
      "Intellegens has been selected from over 600 applications to receive one of the Frontier AI grants from Innovate UK."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2135",
     "name": "Innovate UK",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2135",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Cambridge"
    }
   ],
   "degree": 3,
   "related_ids": [
    "BIZ-LAB-12002",
    "BIZ-LAB-12003"
   ]
  },
  {
   "id": "BIZ-LAB-12002",
   "name": "Alchemite (Intellegens)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-07-02",
   "status_detail": null,
   "one_line": "Intellegens' machine-learning product suite, used to design experiments and formulations for materials, chemicals and life sciences.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Intellegens' machine-learning product suite, used to design experiments and formulations for materials, chemicals and life sciences.",
   "affiliation": "Labs",
   "sources": [
    "https://intellegens.com/",
    "https://intellegens.com/new-alchemite-mcp-feature-delivers-next-phase-in-ai-vision/"
   ],
   "source_quotes": [
    {
     "url": "https://intellegens.com/",
     "quotes": [
      "Alchemite uses high quality uncertainty quantificaton methods based on nonparametric probability distributions."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://intellegens.com/new-alchemite-mcp-feature-delivers-next-phase-in-ai-vision/",
     "quotes": [
      "enabled Alchemite to 'talk' to LLMs such as Claude, ChatGPT, and Gemini, and to AI Agents."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-12001"
   ]
  },
  {
   "id": "BIZ-LAB-12003",
   "name": "Optibrium",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Companies House shows OPTIBRIUM LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Cambridge software company whose AI and machine-learning tools help chemists design and choose drug molecules.",
   "description": "Founded: 2009. Founders: Matt Segall — CEO and company director; Edmund Champness — CSO and company director. Researcher's caveat: high. Division as written: AI for science. [Labs Round 8, 31 Oct 2026] Latest money (as written): 2025-07-08; funding_round (debt financing); undisclosed; Shawbrook",
   "uk_status": "UK-headquartered (US subsidiary)",
   "company": {
    "legal_name": "Optibrium Ltd",
    "ch_number": "06715106",
    "ch_number_clean": "06715106",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/06715106",
    "ch_name": "OPTIBRIUM LIMITED",
    "status_registry": "Active",
    "incorporated": "3 October 2008",
    "sic_codes": [
     "62012 Software development; 72110 R&D on biotechnology"
    ],
    "previous_names": [
     "OPTILIBRIUM LTD"
    ]
   },
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Matt Segall",
     "role": "CEO and company director",
     "from": "2009",
     "source": "https://optibrium.com/about-optibrium/",
     "round4": true
    },
    {
     "name": "Edmund Champness",
     "role": "CSO and company director",
     "from": "2009",
     "source": "https://optibrium.com/about-optibrium/",
     "round4": true
    },
    {
     "name": "Nathan Brown",
     "role": "Director of Science (new post; previously Director of Digital Chemistry, Healx)",
     "from": "2026-01-13",
     "source": "https://optibrium.com/about/news/nathan-brown-director-of-science/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Cambridge software company whose AI and machine-learning tools help chemists design and choose drug molecules.",
   "affiliation": "Labs",
   "sources": [
    "https://optibrium.com/about-optibrium/",
    "https://optibrium.com/about/news/optibriums-quantum-mechanics-and-machine-learning-methods-predict-routes-of-drug-metabolism/",
    "https://find-and-update.company-information.service.gov.uk/company/06715106"
   ],
   "source_quotes": [
    {
     "url": "https://optibrium.com/about-optibrium/",
     "quotes": [
      "they launched Cerella in 2021, an AI platform that provides transformative insights into complex discovery data."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://optibrium.com/about/news/optibriums-quantum-mechanics-and-machine-learning-methods-predict-routes-of-drug-metabolism/",
     "quotes": [
      "use quantum mechanical simulations with machine learning methods to predict sites of metabolism"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/06715106",
     "quotes": [
      "OPTIBRIUM LIMITED | Company number 06715106 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Shawbrook"
    },
    {
     "kind": "funded_by",
     "name": "Kester Capital"
    }
   ],
   "degree": 3,
   "related_ids": [
    "BIZ-LAB-12001",
    "BIZ-LAB-12004"
   ]
  },
  {
   "id": "BIZ-LAB-12004",
   "name": "Cerella (Optibrium)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2021",
   "status_detail": null,
   "one_line": "Optibrium's AI platform that learns from a company's drug-discovery data to suggest which compounds to make next.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Optibrium's AI platform that learns from a company's drug-discovery data to suggest which compounds to make next.",
   "affiliation": "Labs",
   "sources": [
    "https://optibrium.com/about-optibrium/",
    "https://www.optibrium.com/"
   ],
   "source_quotes": [
    {
     "url": "https://optibrium.com/about-optibrium/",
     "quotes": [
      "they launched Cerella in 2021, an AI platform that provides transformative insights into complex discovery data."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.optibrium.com/",
     "quotes": [
      "Transformative insights, revealed, with AI-guided discovery"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-12003"
   ]
  },
  {
   "id": "BIZ-LAB-12005",
   "name": "PharmEnable",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Companies House shows PHARMENABLE THERAPEUTICS LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Cambridge chemistry spin-out using its own AI platform, chemSEEK, to design small-molecule drugs for hard targets.",
   "description": "Founded: 2016. Founders: Hannah Sore — CEO and co-founder; Jelena Aleksic — CBO and co-founder; Natalia Mateu — CSO and co-founder; David Spring — co-founder; Andreas Bender — co-founder. Researcher's caveat: high. Division as written: AI for science. [Labs Round 8, 31 Oct 2026] Latest money (as written): 2023-05-22; funding_round (pre-Series A); 7,500,000 USD; MP Healthcare Venture Management",
   "uk_status": "UK-headquartered",
   "company": {
    "ch_number": "10430444",
    "ch_number_clean": "10430444",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/10430444",
    "ch_name": "PHARMENABLE THERAPEUTICS LIMITED",
    "legal_name": "PHARMENABLE THERAPEUTICS LIMITED",
    "status_registry": "Active",
    "incorporated": "17 October 2016",
    "sic_codes": [
     "74909 Other professional, scientific and technical activities"
    ],
    "previous_names": [
     "PHARMENABLE LIMITED"
    ]
   },
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Hannah Sore",
     "role": "CEO and co-founder",
     "from": "2016",
     "source": "https://www.uktech.news/medtech/pharmenable-pre-series-a-20230522",
     "round4": true
    },
    {
     "name": "Jelena Aleksic",
     "role": "CBO and co-founder",
     "from": "2016",
     "source": "https://www.uktech.news/medtech/pharmenable-pre-series-a-20230522",
     "round4": true
    },
    {
     "name": "Natalia Mateu",
     "role": "CSO and co-founder",
     "from": "2016",
     "source": "https://www.uktech.news/medtech/pharmenable-pre-series-a-20230522",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Cambridge chemistry spin-out using its own AI platform, chemSEEK, to design small-molecule drugs for hard targets.",
   "affiliation": "Labs",
   "sources": [
    "https://www.enterprise.cam.ac.uk/case-studies/pharmenable-creating-revolutionary-new-medicines-with-an-ai-enabled-platform/",
    "https://www.uktech.news/medtech/pharmenable-pre-series-a-20230522",
    "https://find-and-update.company-information.service.gov.uk/company/10430444"
   ],
   "source_quotes": [
    {
     "url": "https://www.enterprise.cam.ac.uk/case-studies/pharmenable-creating-revolutionary-new-medicines-with-an-ai-enabled-platform/",
     "quotes": [
      "proprietary AI-enabled platform, chemSEEK, to unlock novel chemical spaces"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/medtech/pharmenable-pre-series-a-20230522",
     "quotes": [
      "led by Mitsubishi Tanabe Pharma Group's venture capital division, MP Healthcare"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/10430444",
     "quotes": [
      "PHARMENABLE THERAPEUTICS LIMITED | Company number 10430444 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Cambridge"
    },
    {
     "kind": "funded_by",
     "name": "MP Healthcare Venture Management"
    },
    {
     "kind": "funded_by",
     "name": "Cambridge Enterprise"
    },
    {
     "kind": "funded_by",
     "name": "Parkwalk Advisors"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-12006"
   ]
  },
  {
   "id": "BIZ-LAB-12006",
   "name": "chemSEEK (PharmEnable)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2024-12-10",
   "status_detail": null,
   "one_line": "PharmEnable's set of AI methods that match drug targets to molecules from its ChemUniverse virtual library.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "PharmEnable's set of AI methods that match drug targets to molecules from its ChemUniverse virtual library.",
   "affiliation": "Labs",
   "sources": [
    "https://www.ch.cam.ac.uk/news/pharmenable-raises-ps18-million-drug-discovery-expansion",
    "https://www.enterprise.cam.ac.uk/case-studies/pharmenable-creating-revolutionary-new-medicines-with-an-ai-enabled-platform/"
   ],
   "source_quotes": [
    {
     "url": "https://www.ch.cam.ac.uk/news/pharmenable-raises-ps18-million-drug-discovery-expansion",
     "quotes": [
      "ChemSeek, a suite of Artificial Intelligence methods and computational tools"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.enterprise.cam.ac.uk/case-studies/pharmenable-creating-revolutionary-new-medicines-with-an-ai-enabled-platform/",
     "quotes": [
      "proprietary AI-enabled platform, chemSEEK, to unlock novel chemical spaces"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-12005"
   ]
  },
  {
   "id": "BIZ-LAB-12007",
   "name": "Oxford Drug Design",
   "bucket": "co",
   "status": "unknown — latest source May 2022",
   "status_date": "2022-05-20",
   "status_detail": null,
   "one_line": "Oxford University spin-out using its own machine-learning platform to design cancer drugs, first for lung and bowel cancer.",
   "description": "Founders: Alan D. Roth — CEO (founders not named in sources). Researcher's caveat: medium (two trade, no primary). Division as written: AI for science. [Labs Round 8, 31 Oct 2026] Latest money (as written; reported, one source): 2022-05-19; funding_round (bridge); 2,200,000 GBP; ACF Investors, o2h Ventures, Meltwind Advisory, R42 Group",
   "uk_status": "UK-founded (Oxford spin-out)",
   "company": {
    "ch_number": "04305857",
    "ch_number_clean": "04305857",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/04305857",
    "ch_name": "OXFORD DRUG DESIGN LIMITED",
    "legal_name": "OXFORD DRUG DESIGN LIMITED",
    "status_registry": "Active",
    "incorporated": "17 October 2001",
    "sic_codes": [
     "72110 R&D on biotechnology"
    ],
    "previous_names": [
     "INHIBOX LIMITED"
    ]
   },
   "place": {
    "text": "Oxford (HQ not stated in sources)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [
    {
     "name": "Alan D. Roth",
     "role": "CEO",
     "from": "as of 2022-05-19",
     "source": "https://businesscloud.co.uk/news/cancer-fighting-spinout-oxford-drug-design-raises-2-2m",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "drug discovery"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Oxford University spin-out using its own machine-learning platform to design cancer drugs, first for lung and bowel cancer.",
   "affiliation": "Labs",
   "sources": [
    "https://businesscloud.co.uk/news/cancer-fighting-spinout-oxford-drug-design-raises-2-2m",
    "https://startupsmagazine.co.uk/article-oxford-drug-design-receives-27-million-bridge-round-commitments"
   ],
   "source_quotes": [
    {
     "url": "https://businesscloud.co.uk/news/cancer-fighting-spinout-oxford-drug-design-raises-2-2m",
     "quotes": [
      "dual-track AI proprietary platform for drug discovery"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://startupsmagazine.co.uk/article-oxford-drug-design-receives-27-million-bridge-round-commitments",
     "quotes": [
      "a proprietary computational and machine learning platform"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "drug discovery",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Oxford (HQ not stated in sources)",
   "status_group": "unknown — latest source May 2022",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2009",
     "name": "ACF Investors",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2009",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Oxford"
    },
    {
     "kind": "funded_by",
     "name": "o2h Ventures"
    },
    {
     "kind": "funded_by",
     "name": "R42 Group"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12008",
   "name": "Xyme",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": "Companies House shows XYME LIMITED as Active (checked 31 Oct 2026).",
   "one_line": "Oxford company founded in 2024 by Exscientia founder Andrew Hopkins that designs new enzymes with AI and quantum chemistry.",
   "description": "Founded: 2024. Founders: Andrew Hopkins — founder. Division as written: AI for science.",
   "uk_status": "UK-headquartered",
   "company": {
    "ch_number": "15844936",
    "ch_number_clean": "15844936",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/15844936",
    "ch_name": "XYME LIMITED",
    "legal_name": "XYME LIMITED",
    "status_registry": "Active",
    "incorporated": "17 July 2024",
    "sic_codes": [
     "72110 R&D on biotechnology"
    ]
   },
   "place": {
    "text": "Oxford",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [
    {
     "name": "Andrew Hopkins",
     "role": "Founder",
     "from": "2024",
     "source": "https://www.cambridgenetwork.co.uk/index.php/news/mission-street-and-bgo-sign-latest-tenant-oxford-science-space",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Oxford company founded in 2024 by Exscientia founder Andrew Hopkins that designs new enzymes with AI and quantum chemistry.",
   "affiliation": "Labs",
   "sources": [
    "https://www.cambridgenetwork.co.uk/index.php/news/mission-street-and-bgo-sign-latest-tenant-oxford-science-space",
    "https://find-and-update.company-information.service.gov.uk/company/15844936"
   ],
   "source_quotes": [
    {
     "url": "https://www.cambridgenetwork.co.uk/index.php/news/mission-street-and-bgo-sign-latest-tenant-oxford-science-space",
     "quotes": [
      "an AI-driven enzyme design company"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://find-and-update.company-information.service.gov.uk/company/15844936",
     "quotes": [
      "XYME LIMITED | Company number 15844936 | Active"
     ],
     "accessed": "2026-10-31",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Oxford",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "founded_by",
     "name": "Andrew Hopkins"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12009",
   "name": "Concr",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-09-03",
   "status_detail": null,
   "one_line": "Cambridge University spin-out that uses astrophysics-derived Bayesian AI \"digital twins\" to predict how cancer patients respond to treatment.",
   "description": "Founders: Matthew Foster — co-founder; Matthew Griffiths — co-founder and CTO; Uzma Asghar — co-founder; Irina Babina — CEO. Researcher's caveat: high. Division as written: AI for science. [Labs Round 8, 31 Oct 2026] Latest money (as written): 2023; funding_round (seed); 1,940,000 GBP; Cambridge Enterprise Ventures and R42 Group",
   "uk_status": "UK-headquartered",
   "company": {
    "legal_name": "Concr Limited",
    "ch_number": "11326653",
    "ch_number_clean": "11326653",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/11326653",
    "ch_name": "CONCR LTD",
    "status_registry": "Active",
    "incorporated": "24 April 2018",
    "sic_codes": [
     "62012 Software development; 72110 R&D on biotechnology; 86101 Hospital activities"
    ]
   },
   "place": {
    "text": "London (described as \"London-based\" in trade; Cambridge Enterprise portfolio)",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Irina Babina",
     "role": "CEO",
     "from": "after 2023 seed",
     "source": "https://www.enterprise.cam.ac.uk/?p=33665",
     "round4": true
    },
    {
     "name": "Matthew Griffiths",
     "role": "Co-founder and CTO",
     "from": null,
     "source": "https://www.enterprise.cam.ac.uk/?p=33665",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Cambridge University spin-out that uses astrophysics-derived Bayesian AI \"digital twins\" to predict how cancer patients respond to treatment.",
   "affiliation": "Labs",
   "sources": [
    "https://www.enterprise.cam.ac.uk/?p=33665",
    "https://www.precisionmedicineonline.com/precision-oncology/concr-partners-cancer-researchers-cosmologists-breast-cancer-biomarker-study"
   ],
   "source_quotes": [
    {
     "url": "https://www.enterprise.cam.ac.uk/?p=33665",
     "quotes": [
      "the first Bayesian AI model for individualised treatment response prediction"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.precisionmedicineonline.com/precision-oncology/concr-partners-cancer-researchers-cosmologists-breast-cancer-biomarker-study",
     "quotes": [
      "artificial intelligence platform FarrSight"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London (described as \"London-based\" in trade; Cambridge Enterprise portfolio)",
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-2135",
     "name": "Innovate UK",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-2135",
     "page_label": "Investors"
    }
   ],
   "label_links": [
    {
     "kind": "spun_out_of",
     "name": "University of Cambridge"
    },
    {
     "kind": "funded_by",
     "name": "Cambridge Enterprise Ventures"
    },
    {
     "kind": "funded_by",
     "name": "R42 Group"
    },
    {
     "kind": "partner_of",
     "name": "Institute of Cancer Research"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-12010"
   ]
  },
  {
   "id": "BIZ-LAB-12010",
   "name": "FarrSight (FarrSight-Twin) (Concr)",
   "bucket": "prod",
   "status": "research use only",
   "status_date": "2026-09-03",
   "status_detail": null,
   "one_line": "Concr's Bayesian AI model that builds a \"digital twin\" of a patient's tumour to predict treatment response.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Concr's Bayesian AI model that builds a \"digital twin\" of a patient's tumour to predict treatment response.",
   "affiliation": "Labs",
   "sources": [
    "https://www.enterprise.cam.ac.uk/?p=39403",
    "https://www.enterprise.cam.ac.uk/?p=33665"
   ],
   "source_quotes": [
    {
     "url": "https://www.enterprise.cam.ac.uk/?p=39403",
     "quotes": [
      "omics-informed digital twin"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.enterprise.cam.ac.uk/?p=33665",
     "quotes": [
      "the first Bayesian AI model for individualised treatment response prediction"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research use only",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-12009"
   ]
  },
  {
   "id": "BIZ-LAB-12011",
   "name": "Ochre Bio",
   "bucket": "co",
   "status": "active",
   "status_date": "2026-10-07",
   "status_detail": null,
   "one_line": "Oxford liver-disease biotech that combines machine learning with large human liver datasets to find RNA drug targets.",
   "description": "Founders: Quin Wills — founder; CEO from 2025-06-30 (previously CSO). Researcher's caveat: medium (own models implied, not named). Division as written: AI for science.",
   "uk_status": "UK-headquartered (labs in USA and Taiwan)",
   "company": {
    "ch_number": "12294967",
    "ch_number_clean": "12294967",
    "companies_house_url": "https://find-and-update.company-information.service.gov.uk/company/12294967",
    "ch_name": "OCHRE BIO LTD",
    "legal_name": "OCHRE BIO LTD",
    "status_registry": "Active",
    "incorporated": "4 November 2019",
    "sic_codes": [
     "72110 R&D on biotechnology"
    ]
   },
   "place": {
    "text": "Oxford",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: South East"
   },
   "people": [
    {
     "name": "Quin Wills",
     "role": "Founder; CEO (previously CSO)",
     "from": "2025-06-30 (as CEO)",
     "source": "https://www.ochre-bio.com/2025/06/30/dr-quin-wills-appointed-as-ochre-bio-ceo/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Companies",
   "category": "Companies",
   "function": "Oxford liver-disease biotech that combines machine learning with large human liver datasets to find RNA drug targets.",
   "affiliation": "Labs",
   "sources": [
    "https://www.ochre-bio.com/2025/11/18/ochre-bio-completes-human-liver-functional-genomics-and-single-cell-datasets-in-partnership-with-gsk/",
    "https://www.ochre-bio.com/"
   ],
   "source_quotes": [
    {
     "url": "https://www.ochre-bio.com/2025/11/18/ochre-bio-completes-human-liver-functional-genomics-and-single-cell-datasets-in-partnership-with-gsk/",
     "quotes": [
      "combines machine learning and big human datasets"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.ochre-bio.com/",
     "quotes": [
      "Ochre exists to end the need for liver transplants."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Oxford",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "GSK"
    },
    {
     "kind": "partner_of",
     "name": "Boehringer Ingelheim"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12012",
   "name": "Nucleotide Transformer v3 (NTv3) (InstaDeep)",
   "bucket": "prod",
   "status": "released (open checkpoints)",
   "status_date": "2026-02-18",
   "status_detail": null,
   "one_line": "InstaDeep's DNA foundation model family that reads, annotates and helps design genome sequences across many species.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "InstaDeep's DNA foundation model family that reads, annotates and helps design genome sequences across many species.",
   "affiliation": "Labs",
   "sources": [
    "https://instadeep.com/2026/02/modelling-the-genome-with-ntv3/",
    "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/"
   ],
   "source_quotes": [
    {
     "url": "https://instadeep.com/2026/02/modelling-the-genome-with-ntv3/",
     "quotes": [
      "released the full NTv3 model family"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/",
     "quotes": [
      "pretrained on 15 trillion tokens spanning over 150,000 species"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (open checkpoints)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12013",
   "name": "SegmentNT (InstaDeep)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2025-10-29",
   "status_detail": null,
   "one_line": "InstaDeep model built on Nucleotide Transformer that marks out genes and control regions in DNA, letter by letter.",
   "description": "Researcher's caveat: single_source (primary). Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "InstaDeep model built on Nucleotide Transformer that marks out genes and control regions in DNA, letter by letter.",
   "affiliation": "Labs",
   "sources": [
    "https://instadeep.com/2025/10/genome-annotation-with-segmentnt/"
   ],
   "source_quotes": [
    {
     "url": "https://instadeep.com/2025/10/genome-annotation-with-segmentnt/",
     "quotes": [
      "SegmentNT can locate 14 distinct classes of genomic and regulatory elements at once."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12014",
   "name": "MOJO (InstaDeep)",
   "bucket": "prod",
   "status": "released (checkpoints on Hugging Face)",
   "status_date": "2026-07-08",
   "status_detail": null,
   "one_line": "InstaDeep foundation model that learns from tumour gene activity and DNA methylation together to classify cancers.",
   "description": "Researcher's caveat: single_source (primary). Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "InstaDeep foundation model that learns from tumour gene activity and DNA methylation together to classify cancers.",
   "affiliation": "Labs",
   "sources": [
    "https://instadeep.com/2026/07/mojo-multi-omics-ai-cancer-classification/"
   ],
   "source_quotes": [
    {
     "url": "https://instadeep.com/2026/07/mojo-multi-omics-ai-cancer-classification/",
     "quotes": [
      "A bimodal foundation model that jointly learns from bulk RNA-seq and DNA methylation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (checkpoints on Hugging Face)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12015",
   "name": "InstaNovo and InstaNovo-P (InstaDeep)",
   "bucket": "prod",
   "status": "released",
   "status_date": "2026-07-09",
   "status_detail": null,
   "one_line": "InstaDeep transformer models that read protein fragments straight from mass-spectrometry data, including phosphorylated proteins.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "InstaDeep transformer models that read protein fragments straight from mass-spectrometry data, including phosphorylated proteins.",
   "affiliation": "Labs",
   "sources": [
    "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/",
    "https://instadeep.com/research/paper/instanovo-p-a-de-novo-peptide-sequencing-model-for-phosphoproteomics/"
   ],
   "source_quotes": [
    {
     "url": "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/",
     "quotes": [
      "Trained on 63 million labelled spectra"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://instadeep.com/research/paper/instanovo-p-a-de-novo-peptide-sequencing-model-for-phosphoproteomics/",
     "quotes": [
      "a phosphorylation-specific transformer-based model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12016",
   "name": "AbBFN2 (InstaDeep)",
   "bucket": "prod",
   "status": "announced",
   "status_date": "2025-10-13",
   "status_detail": null,
   "one_line": "InstaDeep's generative model for designing and humanising antibodies.",
   "description": "Researcher's caveat: single_source (primary). Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "InstaDeep's generative model for designing and humanising antibodies.",
   "affiliation": "Labs",
   "sources": [
    "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/"
   ],
   "source_quotes": [
    {
     "url": "https://instadeep.com/2025/10/ai-day-2025-powering-biology-with-a-full-stack-ai-ecosystem/",
     "quotes": [
      "the first genuinely multimodal Bayesian Flow Network (BFN) for antibody design"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12017",
   "name": "Boltz-1 (Boltz)",
   "bucket": "prod",
   "status": "released (MIT licence)",
   "status_date": "2024-11-16",
   "status_detail": null,
   "one_line": "Open-source model that predicts the 3D shape of proteins and the molecules that bind to them.",
   "description": "Researcher's caveat: single_source (primary).",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI for science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "AI for science",
   "function": "Open-source model that predicts the 3D shape of proteins and the molecules that bind to them.",
   "affiliation": "Labs",
   "sources": [
    "https://boltz.com/boltz1"
   ],
   "source_quotes": [
    {
     "url": "https://boltz.com/boltz1",
     "quotes": [
      "an open-source model designed to accurately model complex biomolecular interactions."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": null,
   "status_group": "released (MIT licence)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2007"
   ]
  },
  {
   "id": "BIZ-LAB-12018",
   "name": "Boltz-2 (Boltz)",
   "bucket": "prod",
   "status": "released (open source)",
   "status_date": "2026-06-16",
   "status_detail": null,
   "one_line": "Open model that predicts both protein structure and how strongly a drug molecule binds.",
   "description": "Researcher's caveat: medium.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI for science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "AI for science",
   "function": "Open model that predicts both protein structure and how strongly a drug molecule binds.",
   "affiliation": "Labs",
   "sources": [
    "https://www.tamarind.bio/blog/boltz2-state-of-the-art-structure-and-binding-affinity-prediction",
    "https://phylo.bio/blog/boltz-partnership"
   ],
   "source_quotes": [
    {
     "url": "https://www.tamarind.bio/blog/boltz2-state-of-the-art-structure-and-binding-affinity-prediction",
     "quotes": [
      "an open-source model from MIT and Recursion"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://phylo.bio/blog/boltz-partnership",
     "quotes": [
      "Boltz is building open frontier AI for biomolecular discovery"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": null,
   "status_group": "released (open source)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2007"
   ]
  },
  {
   "id": "BIZ-LAB-12019",
   "name": "BoltzGen (Boltz)",
   "bucket": "prod",
   "status": "released (MIT licence)",
   "status_date": "2025-10-26",
   "status_detail": null,
   "one_line": "Open generative model that designs new proteins and peptides to stick to chosen disease targets.",
   "description": "Researcher's caveat: single_source (primary).",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI for science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "AI for science",
   "function": "Open generative model that designs new proteins and peptides to stick to chosen disease targets.",
   "affiliation": "Labs",
   "sources": [
    "https://boltz.com/boltzgen"
   ],
   "source_quotes": [
    {
     "url": "https://boltz.com/boltzgen",
     "quotes": [
      "a new generative model for designing proteins and peptides of any modality to bind a wide range of biomolecular targets."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": null,
   "status_group": "released (MIT licence)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2007"
   ]
  },
  {
   "id": "BIZ-LAB-12020",
   "name": "BoltzMol-1, BoltzProt-1 and the Boltz API (Boltz)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-06-16",
   "status_detail": null,
   "one_line": "Boltz's small-molecule and protein design pipelines, sold through a pay-per-prediction API.",
   "description": "Researcher's caveat: high.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI for science"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "AI for science",
   "function": "Boltz's small-molecule and protein design pipelines, sold through a pay-per-prediction API.",
   "affiliation": "Labs",
   "sources": [
    "https://boltz.com/boltzmol-boltzprot-api",
    "https://phylo.bio/blog/boltz-partnership"
   ],
   "source_quotes": [
    {
     "url": "https://boltz.com/boltzmol-boltzprot-api",
     "quotes": [
      "our first small-molecule hit-discovery pipeline"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://phylo.bio/blog/boltz-partnership",
     "quotes": [
      "Biomni Lab now connects to Boltz!"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2007"
   ]
  },
  {
   "id": "BIZ-LAB-12021",
   "name": "MIRA (CuspAI)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-07-20",
   "status_detail": null,
   "one_line": "CuspAI's own AI platform that runs the whole cycle of designing, simulating and testing new materials.",
   "description": "Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "CuspAI's own AI platform that runs the whole cycle of designing, simulating and testing new materials.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/ai/cuspai-raises-334m-and-launches-ai-materials-foundry-20260720"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/ai/cuspai-raises-334m-and-launches-ai-materials-foundry-20260720",
     "quotes": [
      "CuspAI's proprietary AI platform, MIRA, sits at the heart of the network"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-011",
    "BIZ-LAB-14053"
   ]
  },
  {
   "id": "BIZ-LAB-12022",
   "name": "Anser (Monumo)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-04-07",
   "status_detail": null,
   "one_line": "Monumo's own AI engine that tries out electric-motor design changes across millions of simulations a day.",
   "description": "Researcher's caveat: medium. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "engineering simulation"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Monumo's own AI engine that tries out electric-motor design changes across millions of simulations a day.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/the-circuit/in-conversation-with-monumos-jarek-rzepecki-20260407",
    "https://www.uktech.news/news/founder-interviews/monumo-founder-dominic-vergine-20240223"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/the-circuit/in-conversation-with-monumos-jarek-rzepecki-20260407",
     "quotes": [
      "Monumo provides engineers with its proprietary AI engine Anser,"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/news/founder-interviews/monumo-founder-dominic-vergine-20240223",
     "quotes": [
      "machine learning tools can run millions of simulations per day to test alternative designs of the motor"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12023",
   "name": "PepTron-o (Peptone)",
   "bucket": "prod",
   "status": "announced",
   "status_date": "2025-06-12",
   "status_detail": null,
   "one_line": "Peptone and NVIDIA model that predicts the shifting shapes of \"disordered\" proteins.",
   "description": "Researcher's caveat: single_source (primary headline). Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Peptone and NVIDIA model that predicts the shifting shapes of \"disordered\" proteins.",
   "affiliation": "Labs",
   "sources": [
    "https://peptone.io/news/"
   ],
   "source_quotes": [
    {
     "url": "https://peptone.io/news/",
     "quotes": [
      "Peptone and NVIDIA introduce PepTron-o for ensemble-first structure prediction of the disordered proteome"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12025",
   "name": "Mach42 Discovery Platform (Mach42)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2026-07-21",
   "status_detail": null,
   "one_line": "Mach42's AI platform that builds fast stand-in models of slow simulations, first for analogue chip design.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "engineering simulation"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Mach42's AI platform that builds fast stand-in models of slow simulations, first for analogue chip design.",
   "affiliation": "Labs",
   "sources": [
    "https://mach42.ai/",
    "https://www.uktech.news/ai/machine-discovery-simulations-funding-20230926"
   ],
   "source_quotes": [
    {
     "url": "https://mach42.ai/",
     "quotes": [
      "Mach42 is developing ultra-fast AI tools to address challenges at the forefront of computation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.uktech.news/ai/machine-discovery-simulations-funding-20230926",
     "quotes": [
      "neural networks to 'predict complex circuit performance with the click of the button.'"
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "engineering simulation",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-12026",
   "name": "aiPGI (Basecamp Research)",
   "bucket": "prod",
   "status": "announced",
   "status_date": "2026-01-12",
   "status_detail": null,
   "one_line": "Basecamp Research's AI gene-insertion platform, powered by its EDEN models, for designing gene-editing enzymes.",
   "description": "Researcher's caveat: single_source (primary press release). Division as written: AI for science.",
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Basecamp Research's AI gene-insertion platform, powered by its EDEN models, for designing gene-editing enzymes.",
   "affiliation": "Labs",
   "sources": [
    "https://www.prnewswire.com/news-releases/basecamp-research-launches-world-first-ai-models-for-programmable-gene-insertion-302657979.html"
   ],
   "source_quotes": [
    {
     "url": "https://www.prnewswire.com/news-releases/basecamp-research-launches-world-first-ai-models-for-programmable-gene-insertion-302657979.html",
     "quotes": [
      "the first AI models capable of programmable gene insertion"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-010"
   ]
  },
  {
   "id": "BIZ-LAB-12027",
   "name": "EVA drug discovery platform (LabGenius)",
   "bucket": "prod",
   "status": "live",
   "status_date": "2024-05-21",
   "status_detail": null,
   "one_line": "LabGenius' machine-learning platform that designs antibody experiments, runs them and learns from the results.",
   "description": null,
   "uk_status": null,
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI for science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "AI for science",
   "function": "LabGenius' machine-learning platform that designs antibody experiments, runs them and learns from the results.",
   "affiliation": "Labs",
   "sources": [
    "https://www.uktech.news/medtech/labgenius-drug-discovery-series-b-20240521"
   ],
   "source_quotes": [
    {
     "url": "https://www.uktech.news/medtech/labgenius-drug-discovery-series-b-20240521",
     "quotes": [
      "Founded in 2012, LabGenius has been developing its EVA drug discovery platform for several years."
     ],
     "accessed": "2026-10-30",
     "trade": true,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI for science",
     "div": "ai-for-science"
    }
   ],
   "div_label": "AI for science",
   "location": null,
   "status_group": "live",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-13001",
   "name": "Dstl AI and data science research (Defence Science and Technology Laboratory)",
   "bucket": "org",
   "status": "active",
   "status_date": "2024-08-15",
   "status_detail": null,
   "one_line": "The Ministry of Defence's science laboratory, which runs defence AI and data science research with universities, industry and allies.",
   "description": "Researcher's caveat: high.",
   "uk_status": "uk_public_body (Ministry of Defence)",
   "company": {
    "legal_name": "Defence Science and Technology Laboratory"
   },
   "place": null,
   "people": [
    {
     "name": "Paul Hollinshead",
     "role": "Chief Executive",
     "from": "— (in post 2023-12-15)",
     "source": "https://www.gov.uk/government/news/dstl-ai-success-with-aukus",
     "round4": true
    },
    {
     "name": "Glen Hart",
     "role": "Senior Principal Scientist (quoted on ARC-D)",
     "from": "— (2022-07-14)",
     "source": "https://www.gov.uk/government/news/launching-the-defence-centre-for-ai-research",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Non-profit and independent research labs",
   "function": "The Ministry of Defence's science laboratory, which runs defence AI and data science research with universities, industry and allies.",
   "affiliation": "Labs",
   "sources": [
    "https://www.gov.uk/government/news/dstl-launches-defence-data-research-centre",
    "https://www.gov.uk/government/news/dstl-ai-success-with-aukus"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/dstl-launches-defence-data-research-centre",
     "quotes": [
      "The Centre will focus on problems related to the use of data for artificial intelligence"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.gov.uk/government/news/dstl-ai-success-with-aukus",
     "quotes": [
      "used to process data on US Maritime Patrol Aircraft for the first time"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-043",
     "name": "Google Cloud–Dstl memorandum of understanding on AI",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-043",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-NET-9001",
     "name": "Digital Catapult",
     "page": "networks",
     "href": "../networks/#org=BIZ-NET-9001",
     "page_label": "Networks and media"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-13002"
   ]
  },
  {
   "id": "BIZ-LAB-13002",
   "name": "AI Research Centre for Defence (ARC-D), Dstl and The Alan Turing Institute",
   "bucket": "prog",
   "status": "launched (current status not verified)",
   "status_date": "2022-07-14",
   "status_detail": null,
   "one_line": "A London centre set up by Dstl and the Alan Turing Institute to do defence AI research with UK universities.",
   "description": "Founded: 2022. Founders: Dstl — co-founder; The Alan Turing Institute — co-founder. Researcher's caveat: medium.",
   "uk_status": "uk_public_body",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Schemes, programmes and AI lines",
   "category": "Non-profit and independent research labs",
   "function": "A London centre set up by Dstl and the Alan Turing Institute to do defence AI research with UK universities.",
   "affiliation": "Labs",
   "sources": [
    "https://www.gov.uk/government/news/launching-the-defence-centre-for-ai-research"
   ],
   "source_quotes": [
    {
     "url": "https://www.gov.uk/government/news/launching-the-defence-centre-for-ai-research",
     "quotes": [
      "ARC-D will be a centre of excellence which provides real focus."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": "London",
   "status_group": "launched (current status not verified)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-13001"
   ]
  },
  {
   "id": "BIZ-LAB-13003",
   "name": "British Antarctic Survey AI Lab (Polar Artificial Intelligence team)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-10-30",
   "status_detail": null,
   "one_line": "A team at the British Antarctic Survey that builds AI tools to forecast sea ice and track icebergs and wildlife from satellites.",
   "description": "Researcher's caveat: high.",
   "uk_status": "uk_research_institute",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [
    {
     "name": "Jonathan Smith",
     "role": "Principal Research Scientist and Leader of the Polar Artificial Intelligence Team (AI Team Lead)",
     "from": null,
     "source": "https://www.bas.ac.uk/profile/jonsmi/",
     "round4": true
    },
    {
     "name": "Martin Rogers",
     "role": "Machine Learning Research Scientist",
     "from": null,
     "source": "https://www.bas.ac.uk/project/ai-for-earth-observation/",
     "round4": true
    },
    {
     "name": "Ben Evans",
     "role": "Machine Learning Research Scientist",
     "from": null,
     "source": "https://www.bas.ac.uk/project/ai-for-earth-observation/",
     "round4": true
    },
    {
     "name": "Ellen Bowler",
     "role": "Machine Learning Research Scientist",
     "from": null,
     "source": "https://www.bas.ac.uk/project/ai-for-earth-observation/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Non-profit and independent research labs",
   "function": "A team at the British Antarctic Survey that builds AI tools to forecast sea ice and track icebergs and wildlife from satellites.",
   "affiliation": "Labs",
   "sources": [
    "https://www.bas.ac.uk/team/science-teams/ai-lab/",
    "https://www.bas.ac.uk/project/icenet/"
   ],
   "source_quotes": [
    {
     "url": "https://www.bas.ac.uk/team/science-teams/ai-lab/",
     "quotes": [
      "applies artificial intelligence to tackle key polar challenges"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.bas.ac.uk/project/icenet/",
     "quotes": [
      "active development on IceNet ended in December 2025"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": "Cambridge",
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "part_of",
     "name": "British Antarctic Survey"
    },
    {
     "kind": "partner_of",
     "name": "University of Cambridge"
    }
   ],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-13004",
    "BIZ-LAB-13005"
   ]
  },
  {
   "id": "BIZ-LAB-13004",
   "name": "IceNet (BAS and Alan Turing Institute sea ice forecasting model)",
   "bucket": "prod",
   "status": "development ended; code and papers remain open",
   "status_date": "2025-12",
   "status_detail": null,
   "one_line": "A deep learning system that forecasts Arctic sea ice month by month, up to six months ahead.",
   "description": "Researcher's caveat: high.",
   "uk_status": "uk_research_institute",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Non-profit and independent research labs",
   "function": "A deep learning system that forecasts Arctic sea ice month by month, up to six months ahead.",
   "affiliation": "Labs",
   "sources": [
    "https://www.bas.ac.uk/project/icenet/",
    "https://www.nature.com/articles/s41467-021-25257-4"
   ],
   "source_quotes": [
    {
     "url": "https://www.bas.ac.uk/project/icenet/",
     "quotes": [
      "outperformed a state-of-the-art dynamical model for seasonal summer sea ice forecasts"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.nature.com/articles/s41467-021-25257-4",
     "quotes": [
      "We present a probabilistic, deep learning sea ice forecasting system, IceNet."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": "Cambridge",
   "status_group": "development ended; code and papers remain open",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-13003"
   ]
  },
  {
   "id": "BIZ-LAB-13005",
   "name": "Nilas (BAS medium-range sea ice forecasting system)",
   "bucket": "prod",
   "status": "in development; field-trialled",
   "status_date": "2025-12",
   "status_detail": null,
   "one_line": "A machine learning system that gives 1-to-15-day sea ice forecasts for ships in polar seas.",
   "description": "Researcher's caveat: medium.",
   "uk_status": "uk_research_institute",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Non-profit and independent research labs",
   "function": "A machine learning system that gives 1-to-15-day sea ice forecasts for ships in polar seas.",
   "affiliation": "Labs",
   "sources": [
    "https://www.bas.ac.uk/project/nilas/"
   ],
   "source_quotes": [
    {
     "url": "https://www.bas.ac.uk/project/nilas/",
     "quotes": [
      "promising opportunities"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": "Cambridge",
   "status_group": "in development; field-trialled",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "University of Cambridge"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-13003"
   ]
  },
  {
   "id": "BIZ-LAB-13006",
   "name": "Francis Crick Institute AI (Chief AI Scientist and Software Engineering and AI team)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-06-24",
   "status_detail": null,
   "one_line": "A biomedical research institute building AI into its biology research, led by a newly appointed Chief AI Scientist.",
   "description": "Researcher's caveat: medium.",
   "uk_status": "uk_research_institute",
   "company": {
    "legal_name": "The Francis Crick Institute"
   },
   "place": null,
   "people": [
    {
     "name": "Mihaela van der Schaar",
     "role": "Chief AI Scientist (alongside John Humphrey Plummer Professor of Machine Learning, AI and Medicine, University of Cambridge)",
     "from": "2026-06 (news dated 2026-06-24)",
     "source": "https://www.crick.ac.uk/news/2026-06-24_mihaela-van-der-schaar-appointed-crick-chief-ai-scientist",
     "round4": true
    },
    {
     "name": "Edith Heard",
     "role": "Director and CEO",
     "from": null,
     "source": "https://www.crick.ac.uk/news/2026-06-24_mihaela-van-der-schaar-appointed-crick-chief-ai-scientist",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Non-profit and independent research labs",
   "function": "A biomedical research institute building AI into its biology research, led by a newly appointed Chief AI Scientist.",
   "affiliation": "Labs",
   "sources": [
    "https://www.crick.ac.uk/news/2026-06-24_mihaela-van-der-schaar-appointed-crick-chief-ai-scientist",
    "https://www.crick.ac.uk/research/platforms-and-facilities/software-engineering-and-artificial-intelligence"
   ],
   "source_quotes": [
    {
     "url": "https://www.crick.ac.uk/news/2026-06-24_mihaela-van-der-schaar-appointed-crick-chief-ai-scientist",
     "quotes": [
      "AI is opening new ways of understanding biology that were not previously accessible."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.crick.ac.uk/research/platforms-and-facilities/software-engineering-and-artificial-intelligence",
     "quotes": [
      "novel and creative ways of using deep learning algorithms to accelerate research through automation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": null,
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "University of Cambridge (via van der Schaar's joint role)"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-13007",
   "name": "Wellcome Sanger Institute AI genomics (Generative and Synthetic Genomics programme)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-06-08",
   "status_detail": null,
   "one_line": "A genomics institute's research programme that pairs large-scale DNA experiments with machine learning to predict and design biology.",
   "description": "Founded: 2023. Researcher's caveat: high. [Labs Round 8, 31 Oct 2026] Latest money (as written): 2026-06-08; partnership; 5,000,000 USD a year for five years; Google DeepMind and Google.org",
   "uk_status": "uk_research_institute",
   "company": {
    "legal_name": "Wellcome Sanger Institute"
   },
   "place": null,
   "people": [
    {
     "name": "Ben Lehner",
     "role": "Head of Generative and Synthetic Genomics (group page: Head of Generative Genomics)",
     "from": "2023-10-05",
     "source": "https://www.sanger.ac.uk/news_item/predicting-and-engineering-biology-in-new-research-programme/",
     "round4": true
    },
    {
     "name": "Julia Wilson",
     "role": "Chief Innovation and Impact Officer",
     "from": null,
     "source": "https://www.sanger.ac.uk/news_item/google-deepmind-google-org-and-sanger-institute-to-launch-new-ai-consortium-for-genomics/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Non-profit and independent research labs",
   "function": "A genomics institute's research programme that pairs large-scale DNA experiments with machine learning to predict and design biology.",
   "affiliation": "Labs",
   "sources": [
    "https://www.sanger.ac.uk/news_item/predicting-and-engineering-biology-in-new-research-programme/",
    "https://www.sanger.ac.uk/news_item/google-deepmind-google-org-and-sanger-institute-to-launch-new-ai-consortium-for-genomics/"
   ],
   "source_quotes": [
    {
     "url": "https://www.sanger.ac.uk/news_item/predicting-and-engineering-biology-in-new-research-programme/",
     "quotes": [
      "an additional, sixth programme of research at the Institute."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.sanger.ac.uk/news_item/google-deepmind-google-org-and-sanger-institute-to-launch-new-ai-consortium-for-genomics/",
     "quotes": [
      "build the data backbone needed to decode the complexities of biological processes."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": null,
   "status_group": "active",
   "ext_links": [
    {
     "kind": "funded_by",
     "id": "BIZ-INV-069",
     "name": "Wellcome Trust (as investor)",
     "page": "investors",
     "href": "../investors/#org=BIZ-INV-069",
     "page_label": "Investors"
    }
   ],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-13008",
   "name": "Health Data Research UK (HDR UK)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-05-22",
   "status_detail": null,
   "one_line": "A UK health data research charity that published an AI strategy for health research in 2026.",
   "description": "Founders: Andrew Morris — inaugural Director. Researcher's caveat: medium.",
   "uk_status": "uk_charity",
   "company": {
    "legal_name": "Health Data Research UK"
   },
   "place": null,
   "people": [
    {
     "name": "Jonathan Sterne",
     "role": "Chief Scientist",
     "from": "2026-06",
     "source": "https://www.hdruk.ac.uk/news/jonathan-sterne-to-be-chief-scientist-of-health-data-research-uk/",
     "round4": true
    },
    {
     "name": "Andrew Morris",
     "role": "Director (inaugural Director)",
     "from": null,
     "source": "https://www.hdruk.ac.uk/people/andrew-morris/",
     "round4": true
    },
    {
     "name": "Lucy Vickers",
     "role": "Chief Data Officer",
     "from": "2026 (new role, as of 2026-05-22)",
     "source": "https://www.hdruk.ac.uk/news/jonathan-sterne-to-be-chief-scientist-of-health-data-research-uk/",
     "round4": true
    },
    {
     "name": "Christopher Yau",
     "role": "Director, HDRUK-Turing Wellcome PhD Programme in Health Data Science",
     "from": null,
     "source": "https://www.hdruk.ac.uk/people/christopher-yau/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Non-profit and independent research labs",
   "function": "A UK health data research charity that published an AI strategy for health research in 2026.",
   "affiliation": "Labs",
   "sources": [
    "https://www.hdruk.ac.uk/news/hdr-uk-ai-strategy-enabling-trustworthy-ai-in-health-data/",
    "https://www.hdruk.ac.uk/news/jonathan-sterne-to-be-chief-scientist-of-health-data-research-uk/"
   ],
   "source_quotes": [
    {
     "url": "https://www.hdruk.ac.uk/news/hdr-uk-ai-strategy-enabling-trustworthy-ai-in-health-data/",
     "quotes": [
      "Data is the feedstock of AI, and it needs to meet the highest standards."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.hdruk.ac.uk/news/jonathan-sterne-to-be-chief-scientist-of-health-data-research-uk/",
     "quotes": [
      "transform lives through health data"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": null,
   "status_group": "active",
   "ext_links": [],
   "label_links": [
    {
     "kind": "funded_by",
     "name": "Medical Research Council"
    },
    {
     "kind": "funded_by",
     "name": "NIHR"
    },
    {
     "kind": "funded_by",
     "name": "EPSRC"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-13009",
   "name": "Open Data Institute (ODI)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-10-31",
   "status_detail": null,
   "one_line": "A non-profit founded by Sir Tim Berners-Lee and Sir Nigel Shadbolt that researches the data AI systems depend on.",
   "description": "Founded: 2012. Founders: Sir Tim Berners-Lee — co-founder; Sir Nigel Shadbolt — co-founder. Researcher's caveat: medium.",
   "uk_status": "uk_non_profit",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Non-profit and independent research labs",
   "function": "A non-profit founded by Sir Tim Berners-Lee and Sir Nigel Shadbolt that researches the data AI systems depend on.",
   "affiliation": "Labs",
   "sources": [
    "https://www.theodi.org/about-the-odi/"
   ],
   "source_quotes": [
    {
     "url": "https://www.theodi.org/about-the-odi/",
     "quotes": [
      "an open, trustworthy data ecosystem on which AI systems and other technological advancements can depend"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": null,
   "status_group": "active",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-13010",
   "name": "Centre for Long-Term Resilience (CLTR)",
   "bucket": "org",
   "status": "active",
   "status_date": "2026-09-24",
   "status_detail": null,
   "one_line": "A London think tank that researches extreme risks from AI and biology and advises the UK government.",
   "description": "Founders: Angus Mercer — Founder & Chief Executive. Researcher's caveat: medium.",
   "uk_status": "uk_non_profit",
   "company": {
    "legal_name": "Alpenglow Group Limited"
   },
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [
    {
     "name": "Angus Mercer",
     "role": "Founder & Chief Executive",
     "from": null,
     "source": "https://www.longtermresilience.org/the-team/",
     "round4": true
    },
    {
     "name": "Hamish Hobbs",
     "role": "Director of AI Policy",
     "from": null,
     "source": "https://www.longtermresilience.org/the-team/",
     "round4": true
    },
    {
     "name": "Cassidy Nelson",
     "role": "Director of Biosecurity Policy",
     "from": null,
     "source": "https://www.longtermresilience.org/the-team/",
     "round4": true
    }
   ],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Non-profit and independent research labs"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Networks, bodies, events and media",
   "category": "Non-profit and independent research labs",
   "function": "A London think tank that researches extreme risks from AI and biology and advises the UK government.",
   "affiliation": "Labs",
   "sources": [
    "https://www.longtermresilience.org/",
    "https://www.longtermresilience.org/the-team/"
   ],
   "source_quotes": [
    {
     "url": "https://www.longtermresilience.org/",
     "quotes": [
      "An independent think tank with a mission to transform global resilience to extreme risks."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.longtermresilience.org/the-team/",
     "quotes": [
      "Founder & Chief Executive"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Non-profit and independent research labs",
     "div": "non-profit-and-independent-research-labs"
    }
   ],
   "div_label": "Non-profit and independent research labs",
   "location": "London",
   "status_group": "active",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-13011",
   "name": "Thomson (Thomson Reuters large language model)",
   "bucket": "prod",
   "status": "in production",
   "status_date": "2026-08",
   "status_detail": null,
   "one_line": "Thomson Reuters' first in-house large language model, tested on legal, tax and news tasks and able to run inside a customer's own systems.",
   "description": "Researcher's caveat: high.",
   "uk_status": "uk_site_of_foreign_company",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Corporate research labs"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Corporate research labs",
   "function": "Thomson Reuters' first in-house large language model, tested on legal, tax and news tasks and able to run inside a customer's own systems.",
   "affiliation": "Labs",
   "sources": [
    "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/",
    "https://www.thomsonreuters.com/content/dam/ewp-m/documents/thomsonreuters/en/pdf/reports/thomson-technical-report.pdf"
   ],
   "source_quotes": [
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/",
     "quotes": [
      "At the time of writing, the base model for Thomson is the Imperial College London Snowdon model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/content/dam/ewp-m/documents/thomsonreuters/en/pdf/reports/thomson-technical-report.pdf",
     "quotes": [
      "with no more than 368 B200 GPUs available at any stage of experimentation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": null,
   "status_group": "in production",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "DatologyAI"
    },
    {
     "kind": "partner_of",
     "name": "Lambda"
    }
   ],
   "degree": 3,
   "related_ids": [
    "BIZ-LAB-13012",
    "BIZ-LAB-6003",
    "BIZ-LAB-6004"
   ]
  },
  {
   "id": "BIZ-LAB-13012",
   "name": "Snowdon (Frontier AI Research Lab model)",
   "bucket": "prod",
   "status": "released (used as Thomson base model)",
   "status_date": "2026-08",
   "status_detail": null,
   "one_line": "A re-aligned version of open Qwen models built by the Thomson Reuters–Imperial lab and used as the base for Thomson.",
   "description": "Researcher's caveat: high.",
   "uk_status": "uk_research_lab",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Corporate research labs"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Corporate research labs",
   "function": "A re-aligned version of open Qwen models built by the Thomson Reuters–Imperial lab and used as the base for Thomson.",
   "affiliation": "Labs",
   "sources": [
    "https://www.thomsonreuters.com/content/dam/ewp-m/documents/thomsonreuters/en/pdf/reports/thomson-technical-report.pdf",
    "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/"
   ],
   "source_quotes": [
    {
     "url": "https://www.thomsonreuters.com/content/dam/ewp-m/documents/thomsonreuters/en/pdf/reports/thomson-technical-report.pdf",
     "quotes": [
      "Snowdon-1.0-Large & Snowdon-1.1-Small, a value-realigned version of Qwen3.5-397B/Qwen3.6-35B"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.thomsonreuters.com/en-us/posts/innovation/how-we-built-thomson/",
     "quotes": [
      "This model was developed by the FAIR Lab at Imperial, which Thomson Reuters and Imperial founded jointly"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "Corporate research labs",
     "div": "corporate-research-labs"
    }
   ],
   "div_label": "Corporate research labs",
   "location": "London",
   "status_group": "released (used as Thomson base model)",
   "ext_links": [],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-13011",
    "BIZ-LAB-6003"
   ]
  },
  {
   "id": "BIZ-LAB-14001",
   "name": "Gemma 2 (2B, 9B, 27B; plus Gemma 2 JPN)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2024-06-27",
   "status_detail": null,
   "one_line": "Second generation of Google DeepMind's small open-weight language models, released in three sizes.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Second generation of Google DeepMind's small open-weight language models, released in three sizes.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/releases",
    "https://ai.google.dev/gemma/docs/core/model_card_2"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Initial release of Gemma 2 in 9B and 27B sizes."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.google.dev/gemma/docs/core/model_card_2",
     "quotes": [
      "The 27B model was trained with 13 trillion tokens"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14002",
   "name": "CodeGemma",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2024-04-09",
   "status_detail": null,
   "one_line": "Small open Gemma models trained to complete, write and chat about computer code.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Small open Gemma models trained to complete, write and chat about computer code.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/codegemma",
    "https://ai.google.dev/gemma/docs/releases"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/codegemma",
     "quotes": [
      "CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Initial release of CodeGemma."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14003",
   "name": "RecurrentGemma (2B and 9B)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2024-04-09",
   "status_detail": null,
   "one_line": "Open Gemma language model built on a different design (Griffin) that mixes recurrence with local attention to run more efficiently.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open Gemma language model built on a different design (Griffin) that mixes recurrence with local attention to run more efficiently.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/recurrentgemma",
    "https://ai.google.dev/gemma/docs/releases"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/recurrentgemma",
     "quotes": [
      "a hybrid model architecture that mixes gated linear recurrences with local sliding window attention"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Release of RecurrentGemma 9B variant."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14004",
   "name": "PaliGemma",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2024-05-14",
   "status_detail": null,
   "one_line": "Small open model that reads images and text together, for tasks such as captioning and answering questions about pictures.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Small open model that reads images and text together, for tasks such as captioning and answering questions about pictures.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/paligemma",
    "https://ai.google.dev/gemma/docs/releases"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/paligemma",
     "quotes": [
      "PaliGemma 2 and PaliGemma are lightweight open vision-language models (VLM) inspired by PaLI-3"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Initial release of PaliGemma."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14005",
   "name": "PaliGemma 2 (and PaliGemma 2 mix)",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2024-12-05",
   "status_detail": null,
   "one_line": "Second version of the open image-and-text Gemma model, in three sizes.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Second version of the open image-and-text Gemma model, in three sizes.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/releases",
    "https://ai.google.dev/gemma/docs/paligemma"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Release of PaliGemma 2 in 3B, 10B, and 28B parameter sizes."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.google.dev/gemma/docs/paligemma",
     "quotes": [
      "PaliGemma 2 and PaliGemma are lightweight open vision-language models (VLM) inspired by PaLI-3"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14006",
   "name": "ShieldGemma",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2024-07-31",
   "status_detail": null,
   "one_line": "Open Gemma 2 models that check text going into and out of AI systems for harmful content.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open Gemma 2 models that check text going into and out of AI systems for harmful content.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/shieldgemma/model_card",
    "https://ai.google.dev/gemma/docs/releases"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/shieldgemma/model_card",
     "quotes": [
      "ShieldGemma is a series of safety content moderation models built upon Gemma 2"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Initial release of ShieldGemma."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14007",
   "name": "ShieldGemma 2",
   "bucket": "prod",
   "status": "released (open weights)",
   "status_date": "2025-03-10",
   "status_detail": null,
   "one_line": "Open model that checks images for harmful content against set safety policies.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Open model that checks images for harmful content against set safety policies.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/releases",
    "https://deepmind.google/models/gemma/shieldgemma-2/"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Release of ShieldGemma 2."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/gemma/shieldgemma-2/",
     "quotes": [
      "A 4B parameter image safety model built on Gemma 3."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14008",
   "name": "DataGemma (RIG and RAG)",
   "bucket": "prod",
   "status": "released (open weights; research tool)",
   "status_date": "2024-09-12",
   "status_detail": null,
   "one_line": "Gemma 2 models tuned to answer plain-language questions with public statistics drawn from Google's Data Commons.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Gemma 2 models tuned to answer plain-language questions with public statistics drawn from Google's Data Commons.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemma/docs/datagemma",
    "https://ai.google.dev/gemma/docs/releases"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemma/docs/datagemma",
     "quotes": [
      "DataGemma is a research tool that lets users ask questions in plain language."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://ai.google.dev/gemma/docs/releases",
     "quotes": [
      "Release of DataGemma in 2B size."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open weights; research tool)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14009",
   "name": "Genie (first version, \"Generative Interactive Environments\")",
   "bucket": "prod",
   "status": "research (paper only)",
   "status_date": "2024-02-23",
   "status_detail": null,
   "one_line": "First Genie world model: generates interactive, controllable environments, learned without labels from internet videos.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "First Genie world model: generates interactive, controllable environments, learned without labels from internet videos.",
   "affiliation": "Labs",
   "sources": [
    "https://arxiv.org/abs/2402.15391"
   ],
   "source_quotes": [
    {
     "url": "https://arxiv.org/abs/2402.15391",
     "quotes": [
      "At 11B parameters, Genie can be considered a foundation world model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14010",
   "name": "Lyria (first version) and Dream Track",
   "bucket": "prod",
   "status": "released (limited: YouTube experiment)",
   "status_date": "2023-11-16",
   "status_detail": null,
   "one_line": "Google DeepMind's first Lyria music-generation model, launched with a YouTube Shorts experiment that made songs in artists' voices.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's first Lyria music-generation model, launched with a YouTube Shorts experiment that made songs in artists' voices.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/transforming-the-future-of-music-creation/",
    "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/transforming-the-future-of-music-creation/",
     "quotes": [
      "our most advanced AI music generation model to date"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/",
     "quotes": [
      "we announced Lyria, our most advanced AI music generation model to date."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (limited: YouTube experiment)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "YouTube"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14011",
   "name": "Lyria 2 (and Music AI Sandbox update)",
   "bucket": "prod",
   "status": "released (waitlist, US)",
   "status_date": "2025-04-24",
   "status_detail": null,
   "one_line": "Second Lyria music model, offered to musicians and producers in the US through Google's Music AI Sandbox.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Second Lyria music model, offered to musicians and producers in the US through Google's Music AI Sandbox.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/music-ai-sandbox-now-with-new-features-and-broader-access/",
    "https://deepmind.google/models/lyria/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/music-ai-sandbox-now-with-new-features-and-broader-access/",
     "quotes": [
      "Our latest music generation model, Lyria 2, delivers high-fidelity music and professional-grade audio outputs."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/models/lyria/",
     "quotes": [
      "Explore new genres, play with soundscapes, and find musical inspiration"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (waitlist, US)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14012",
   "name": "Gemini Diffusion",
   "bucket": "prod",
   "status": "research (experimental demo)",
   "status_date": "— (release date not stated on the model page)",
   "status_detail": null,
   "one_line": "Experimental Google DeepMind language model that writes text by diffusion, refining whole passages at once rather than word by word.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Experimental Google DeepMind language model that writes text by diffusion, refining whole passages at once rather than word by word.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/gemini-diffusion/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/gemini-diffusion/",
     "quotes": [
      "Gemini Diffusion is our state-of-the-art research model exploring what diffusion means for language – and text generation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (experimental demo)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14013",
   "name": "Project Astra",
   "bucket": "prod",
   "status": "research prototype (trusted testers)",
   "status_date": "— (date not stated on the project page)",
   "status_detail": null,
   "one_line": "Google DeepMind's prototype universal assistant that sees and hears through a phone camera or prototype glasses and talks back in real time.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's prototype universal assistant that sees and hears through a phone camera or prototype glasses and talks back in real time.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/models/project-astra/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/models/project-astra/",
     "quotes": [
      "Project Astra is a research prototype, being used and refined by a limited number of trusted testers."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research prototype (trusted testers)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14014",
   "name": "RoboCat",
   "bucket": "prod",
   "status": "research (paper only)",
   "status_date": "2023-06-20",
   "status_detail": null,
   "one_line": "Self-improving robot agent that learns new tasks on different real robot arms from a few hundred demonstrations.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Self-improving robot agent that learns new tasks on different real robot arms from a few hundred demonstrations.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/robocat-a-self-improving-robotic-agent/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/robocat-a-self-improving-robotic-agent/",
     "quotes": [
      "RoboCat is the first agent to solve and adapt to multiple tasks and do so across different, real robots."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14015",
   "name": "Sparrow (dialogue agent)",
   "bucket": "prod",
   "status": "research (paper only)",
   "status_date": "2022-09-22",
   "status_detail": null,
   "one_line": "Research chatbot trained with human feedback and rules to give evidence-backed answers and avoid unsafe replies.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (London)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI safety research"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Research chatbot trained with human feedback and rules to give evidence-backed answers and avoid unsafe replies.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/building-safer-dialogue-agents/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/building-safer-dialogue-agents/",
     "quotes": [
      "Sparrow – a dialogue agent that's useful and reduces the risk of unsafe and inappropriate answers."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI safety research",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14016",
   "name": "RETRO (Retrieval-Enhanced Transformer)",
   "bucket": "prod",
   "status": "research (paper only)",
   "status_date": "2021-12-08",
   "status_detail": null,
   "one_line": "Language model that looks up passages in a very large text database while it writes, so a smaller model can match much larger ones.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (London)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Language model that looks up passages in a very large text database while it writes, so a smaller model can match much larger ones.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/improving-language-models-by-retrieving-from-trillions-of-tokens/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/improving-language-models-by-retrieving-from-trillions-of-tokens/",
     "quotes": [
      "we augment transformers with retrieval over a database of text passages including web pages, books, news and code."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14017",
   "name": "Perceiver and Perceiver IO",
   "bucket": "prod",
   "status": "released (open code; papers)",
   "status_date": "2021-08-03",
   "status_detail": null,
   "one_line": "General neural-network designs that take in many kinds of data (images, sound, text) and produce many kinds of output.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (London)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "General neural-network designs that take in many kinds of data (images, sound, text) and produce many kinds of output.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/building-architectures-that-can-handle-the-worlds-data/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/building-architectures-that-can-handle-the-worlds-data/",
     "quotes": [
      "Perceiver IO can produce a wide variety of outputs from many different inputs"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open code; papers)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14018",
   "name": "AlphaProof",
   "bucket": "prod",
   "status": "research (paper; competition result)",
   "status_date": "2024-07-25",
   "status_detail": null,
   "one_line": "Reinforcement-learning system that proves maths statements in the formal language Lean; solved three IMO 2024 problems.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI reasoning"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Reinforcement-learning system that proves maths statements in the formal language Lean; solved three IMO 2024 problems.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/ai-solves-imo-problems-at-silver-medal-level/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/ai-solves-imo-problems-at-silver-medal-level/",
     "quotes": [
      "a new reinforcement-learning based system for formal math reasoning"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper; competition result)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14019",
   "name": "AlphaGeometry 2",
   "bucket": "prod",
   "status": "research (competition result)",
   "status_date": "2024-07-25",
   "status_detail": null,
   "one_line": "Improved version of AlphaGeometry, pairing a Gemini-based language model with a symbolic engine to solve olympiad geometry.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI reasoning"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Improved version of AlphaGeometry, pairing a Gemini-based language model with a symbolic engine to solve olympiad geometry.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/ai-solves-imo-problems-at-silver-medal-level/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/ai-solves-imo-problems-at-silver-medal-level/",
     "quotes": [
      "a neuro-symbolic hybrid system in which the language model was based on Gemini"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (competition result)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14020",
   "name": "Gemini 2.0 Flash Thinking (experimental)",
   "bucket": "prod",
   "status": "superseded (public preview)",
   "status_date": "2024-12-19",
   "status_detail": null,
   "one_line": "First Gemini model released in a \"thinking\" mode that reasons step by step before answering.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI reasoning"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "First Gemini model released in a \"thinking\" mode that reasons step by step before answering.",
   "affiliation": "Labs",
   "sources": [
    "https://ai.google.dev/gemini-api/docs/changelog"
   ],
   "source_quotes": [
    {
     "url": "https://ai.google.dev/gemini-api/docs/changelog",
     "quotes": [
      "Released Gemini 2.0 Flash Thinking Mode for public preview."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (public preview)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14021",
   "name": "Med-Gemini",
   "bucket": "prod",
   "status": "research (paper only)",
   "status_date": "2024-04-29",
   "status_detail": null,
   "one_line": "Family of Gemini models specialised for medicine, tested on medical exam and imaging benchmarks.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google (Google Research and Google DeepMind)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Family of Gemini models specialised for medicine, tested on medical exam and imaging benchmarks.",
   "affiliation": "Labs",
   "sources": [
    "https://arxiv.org/abs/2404.18416"
   ],
   "source_quotes": [
    {
     "url": "https://arxiv.org/abs/2404.18416",
     "quotes": [
      "we introduce Med-Gemini, a family of highly capable multimodal models that are specialized in medicine"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14022",
   "name": "Imagen 2",
   "bucket": "prod",
   "status": "superseded (released)",
   "status_date": "2023 (exact day not stated on source)",
   "status_detail": null,
   "one_line": "Second version of Google's Imagen text-to-image model, with an added model for judging image aesthetics.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Second version of Google's Imagen text-to-image model, with an added model for judging image aesthetics.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/",
     "quotes": [
      "Later in the year, we released Imagen 2, which improved outputs via a specialized image aesthetics model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (released)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14023",
   "name": "AlphaCode 2",
   "bucket": "prod",
   "status": "research (technical report)",
   "status_date": "2023 (reported in DeepMind review dated 22 Dec 2023)",
   "status_detail": null,
   "one_line": "Second AlphaCode system for competitive programming, solving more contest problems than the first.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI reasoning"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Second AlphaCode system for competitive programming, solving more contest problems than the first.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/",
     "quotes": [
      "we found that AlphaCode 2 solved 1.7x more problems, and performed better than 85% of competition participants."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (technical report)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14024",
   "name": "Open X-Embodiment dataset and RT-X models (RT-1-X, RT-2-X)",
   "bucket": "prod",
   "status": "released (open dataset; models)",
   "status_date": "2023-10-03",
   "status_detail": null,
   "one_line": "Pooled robot-training dataset from many labs and the robot models trained on it, which work across different robot types.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Pooled robot-training dataset from many labs and the robot models trained on it, which work across different robot types.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/scaling-up-learning-across-many-different-robot-types/",
    "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/scaling-up-learning-across-many-different-robot-types/",
     "quotes": [
      "We have pooled data from 22 different robot types to create the Open X-Embodiment dataset."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/2023-a-year-of-groundbreaking-advances-in-ai-and-computing/",
     "quotes": [
      "partners from 33 academic labs to pool data from 22 different robot types."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open dataset; models)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14025",
   "name": "ALOHA Unleashed and DemoStart",
   "bucket": "prod",
   "status": "research (paper only)",
   "status_date": "2024-09-12",
   "status_detail": null,
   "one_line": "Two robot-learning methods: one teaches two-armed robots complex tasks, the other trains dexterous hands in simulation.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Two robot-learning methods: one teaches two-armed robots complex tasks, the other trains dexterous hands in simulation.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/advances-in-robot-dexterity/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/advances-in-robot-dexterity/",
     "quotes": [
      "ALOHA Unleashed which helps robots learn to perform complex and novel two-armed manipulation tasks"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14026",
   "name": "Enformer",
   "bucket": "prod",
   "status": "released (open model; paper)",
   "status_date": "2021-10-04",
   "status_detail": null,
   "one_line": "Model that predicts how DNA sequence controls gene activity, reading long stretches of DNA at once.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (London)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Model that predicts how DNA sequence controls gene activity, reading long stretches of DNA at once.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/predicting-gene-expression-with-ai/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/predicting-gene-expression-with-ai/",
     "quotes": [
      "led to greatly increased accuracy in predicting gene expression"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open model; paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14027",
   "name": "DGMR precipitation nowcasting model (with the Met Office)",
   "bucket": "prod",
   "status": "research (paper; Nature)",
   "status_date": "2021-09-29",
   "status_detail": null,
   "one_line": "Rain-forecasting model built with the Met Office that predicts the next 90 minutes of rainfall from radar.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (London), with the Met Office (Exeter)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Rain-forecasting model built with the Met Office that predicts the next 90 minutes of rainfall from radar.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/nowcasting-the-next-hour-of-rain/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/nowcasting-the-next-hour-of-rain/",
     "quotes": [
      "Past 20 mins of observed radar are used to provide probabilistic predictions for the next 90 mins"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper; Nature)",
   "ext_links": [],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-001",
    "BIZ-LAB-6007"
   ]
  },
  {
   "id": "BIZ-LAB-14028",
   "name": "V2A (video-to-audio research)",
   "bucket": "prod",
   "status": "research (not released)",
   "status_date": "2024-06-17",
   "status_detail": null,
   "one_line": "Research system that generates soundtracks, effects and dialogue to match the action in a video.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Research system that generates soundtracks, effects and dialogue to match the action in a video.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/generating-audio-for-video/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/generating-audio-for-video/",
     "quotes": [
      "V2A combines video pixels with natural language text prompts to generate rich soundscapes for the on-screen action."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (not released)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14029",
   "name": "Stable Diffusion (first public release, v1)",
   "bucket": "prod",
   "status": "superseded (open weights)",
   "status_date": null,
   "status_detail": null,
   "one_line": "The original open text-to-image model that made pictures from typed prompts on an ordinary consumer graphics card.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Stability AI (London HQ), with academic and company partners",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "The original open text-to-image model that made pictures from typed prompts on an ordinary consumer graphics card.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stable-diffusion-announcement"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stable-diffusion-announcement",
     "quotes": [
      "Stable Diffusion is a text-to-image model empowering billions of people to create stunning art within seconds."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (open weights)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Runway"
    },
    {
     "kind": "partner_of",
     "name": "LAION"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-14030",
   "name": "Stable Diffusion 2.0",
   "bucket": "prod",
   "status": "superseded (open weights)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Second major Stable Diffusion release, with a new text encoder, higher default resolution and a 4x upscaler.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Stability AI (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Second major Stable Diffusion release, with a new text encoder, higher default resolution and a 4x upscaler.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stable-diffusion-v2-release"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stable-diffusion-v2-release",
     "quotes": [
      "Stable Diffusion 2.0 delivers several big improvements and features versus the original V1 release"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-14031",
   "name": "StableLM (Alpha, 3B and 7B)",
   "bucket": "prod",
   "status": "superseded (open weights)",
   "status_date": null,
   "status_detail": null,
   "one_line": "Stability AI's first suite of open language models, released in two small sizes.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Stability AI (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general-purpose AI models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Stability AI's first suite of open language models, released in two small sizes.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models",
     "quotes": [
      "They demonstrate how small and efficient models can deliver high performance with appropriate training."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general-purpose AI models",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-14032",
   "name": "DeepFloyd IF",
   "bucket": "prod",
   "status": "released (research licence)",
   "status_date": "28 Apr 2023 (year from page image timestamps)",
   "status_detail": null,
   "one_line": "Text-to-image model from Stability AI's DeepFloyd research lab, built in three stages and able to write legible text inside images.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Stability AI (London HQ) and its DeepFloyd lab",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Text-to-image model from Stability AI's DeepFloyd research lab, built in three stages and able to write legible text inside images.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/deepfloyd-if-text-to-image-model"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/deepfloyd-if-text-to-image-model",
     "quotes": [
      "a powerful text-to-image cascaded pixel diffusion model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (research licence)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-14033",
   "name": "SDXL (Stable Diffusion XL)",
   "bucket": "prod",
   "status": "superseded (open weights)",
   "status_date": "2023-07-04 (paper)",
   "status_detail": null,
   "one_line": "Larger Stable Diffusion model for higher-resolution images, with a second text encoder and an optional refining model.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Stability AI (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Larger Stable Diffusion model for higher-resolution images, with a second text encoder and an optional refining model.",
   "affiliation": "Labs",
   "sources": [
    "https://arxiv.org/abs/2307.01952"
   ],
   "source_quotes": [
    {
     "url": "https://arxiv.org/abs/2307.01952",
     "quotes": [
      "SDXL leverages a three times larger UNet backbone"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-14034",
   "name": "SDXL Turbo (Adversarial Diffusion Distillation)",
   "bucket": "prod",
   "status": "released (non-commercial open weights)",
   "status_date": "2023-11-28",
   "status_detail": null,
   "one_line": "Fast version of SDXL that makes an image in a single step, close to real time.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Stability AI (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Fast version of SDXL that makes an image in a single step, close to real time.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stability-ai-sdxl-turbo",
    "https://arxiv.org/abs/2311.17042"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stability-ai-sdxl-turbo",
     "quotes": [
      "SDXL Turbo is based on a novel distillation technique called Adversarial Diffusion Distillation (ADD)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://arxiv.org/abs/2311.17042",
     "quotes": [
      "efficiently samples large-scale foundational image diffusion models in just 1-4 steps"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (non-commercial open weights)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-14035",
   "name": "Stable Zero123 (and Stable Zero123C)",
   "bucket": "prod",
   "status": "released (non-commercial; Zero123C commercial for members)",
   "status_date": "13 Dec 2023 (post updated 8 Jan 2024)",
   "status_detail": null,
   "one_line": "Model that generates new views of an object from a single picture, as a step to making 3D objects.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Stability AI (London HQ)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Model that generates new views of an object from a single picture, as a step to making 3D objects.",
   "affiliation": "Labs",
   "sources": [
    "https://stability.ai/news-updates/stable-zero123-3d-generation"
   ],
   "source_quotes": [
    {
     "url": "https://stability.ai/news-updates/stable-zero123-3d-generation",
     "quotes": [
      "Stable Zero123 produces notably improved results compared to the previous state-of-the-art, Zero123-XL."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (non-commercial; Zero123C commercial for members)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-006"
   ]
  },
  {
   "id": "BIZ-LAB-14036",
   "name": "Eleven English v1 (eleven_monolingual_v1)",
   "bucket": "prod",
   "status": "deprecated",
   "status_date": "— (first model; release date not stated)",
   "status_detail": null,
   "one_line": "ElevenLabs' first text-to-speech model, trained only on English.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "ElevenLabs (see lab record BIZ-LAB-005)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' first text-to-speech model, trained only on English.",
   "affiliation": "Labs",
   "sources": [
    "https://help.elevenlabs.io/hc/en-us/articles/17883183930129-What-models-do-you-offer-and-what-is-the-difference-between-them",
    "https://elevenlabs.io/blog/thefirstaithatcanlaugh"
   ],
   "source_quotes": [
    {
     "url": "https://help.elevenlabs.io/hc/en-us/articles/17883183930129-What-models-do-you-offer-and-what-is-the-difference-between-them",
     "quotes": [
      "Our very first model, English v1, set the foundation for what's to come."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/thefirstaithatcanlaugh",
     "quotes": [
      "Today we're going to show you that it's also more emotionally rich and more context-aware than any other."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "deprecated",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-14037",
   "name": "Eleven Turbo v2 (eleven_turbo_v2)",
   "bucket": "prod",
   "status": "deprecated (replace with Flash v2)",
   "status_date": "2023-11-09",
   "status_detail": null,
   "one_line": "ElevenLabs' first low-latency English speech model, built for real-time use such as phone systems.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "ElevenLabs (see lab record BIZ-LAB-005)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs' first low-latency English speech model, built for real-time use such as phone systems.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/turbo-v2-is-here",
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/turbo-v2-is-here",
     "quotes": [
      "Our new, fastest model generates speech at ≈400ms latency and is over twice as fast as our V1 models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "First generation low-latency model (outclassed by Flash models)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "deprecated (replace with Flash v2)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-14038",
   "name": "Voice Design (first generative voice model, in Voice Lab)",
   "bucket": "prod",
   "status": "superseded (product)",
   "status_date": "2023-01-11",
   "status_detail": null,
   "one_line": "ElevenLabs model that creates new synthetic voices from scratch rather than copying a real speaker.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "ElevenLabs (see lab record BIZ-LAB-005)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs model that creates new synthetic voices from scratch rather than copying a real speaker.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/blog/enter-the-new-year-with-a-bang"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/blog/enter-the-new-year-with-a-bang",
     "quotes": [
      "our own generative model which lets you design entirely new synthetic voices from scratch."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-14039",
   "name": "Speech to Speech voice changer models (English STS v1 and v2; Multilingual STS v2)",
   "bucket": "prod",
   "status": "released (API)",
   "status_date": "— (release dates not stated)",
   "status_detail": null,
   "one_line": "ElevenLabs models that turn one person's recorded speech into another voice while keeping the delivery.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "ElevenLabs (see lab record BIZ-LAB-005)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs models that turn one person's recorded speech into another voice while keeping the delivery.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/docs/overview/models",
    "https://elevenlabs.io/blog/voice-conversion"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "State-of-the-art multilingual voice changer model (Speech to Speech)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://elevenlabs.io/blog/voice-conversion",
     "quotes": [
      "Voice conversion lets you transform one person's voice into another's."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-14040",
   "name": "Text to Sound Effects v2 (eleven_text_to_sound_v2)",
   "bucket": "prod",
   "status": "released (API; default model)",
   "status_date": "— (release date not stated)",
   "status_detail": null,
   "one_line": "ElevenLabs model that makes sound effects from a written description.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "ElevenLabs (see lab record BIZ-LAB-005)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "ElevenLabs model that makes sound effects from a written description.",
   "affiliation": "Labs",
   "sources": [
    "https://elevenlabs.io/docs/overview/models"
   ],
   "source_quotes": [
    {
     "url": "https://elevenlabs.io/docs/overview/models",
     "quotes": [
      "Sound effects generation from text prompts"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (API; default model)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-005"
   ]
  },
  {
   "id": "BIZ-LAB-14041",
   "name": "Recraft V2 (Recraft 20B)",
   "bucket": "prod",
   "status": "superseded (product)",
   "status_date": "2024-03-13",
   "status_detail": null,
   "one_line": "Recraft's image model pitched as the first built for designers, with about 20 billion parameters.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Recraft (see record BIZ-SU-CRE-801)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Recraft's image model pitched as the first built for designers, with about 20 billion parameters.",
   "affiliation": "Labs",
   "sources": [
    "https://www.recraft.ai/blog/recraft-v2"
   ],
   "source_quotes": [
    {
     "url": "https://www.recraft.ai/blog/recraft-v2",
     "quotes": [
      "the first AI model built for designers"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-14045",
   "name": "Recraft V4.1 Flash",
   "bucket": "prod",
   "status": "released (product and API)",
   "status_date": "2026-09-23",
   "status_detail": null,
   "one_line": "Recraft's fastest image model, producing a picture about 1.3 seconds after the prompt.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Recraft (see record BIZ-SU-CRE-801)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Recraft's fastest image model, producing a picture about 1.3 seconds after the prompt.",
   "affiliation": "Labs",
   "sources": [
    "https://www.recraft.ai/blog/meet-recraft-v4-1-flash"
   ],
   "source_quotes": [
    {
     "url": "https://www.recraft.ai/blog/meet-recraft-v4-1-flash",
     "quotes": [
      "Recraft V4.1 Flash is the fastest model on the market at 1.3 seconds from prompt to image."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (product and API)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-14051",
   "name": "Prima Daedalus",
   "bucket": "prod",
   "status": "research (code not yet public)",
   "status_date": "2026-09-24",
   "status_detail": null,
   "one_line": "Prima Mente's multi-agent AI workflow that reprocesses published biology experiments into checked training data and tests for its models.",
   "description": "Researcher's caveat: high. Division as written: AI for science.",
   "uk_status": "Prima Mente (see record BIZ-LAB-017)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "neuroscience"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Prima Mente's multi-agent AI workflow that reprocesses published biology experiments into checked training data and tests for its models.",
   "affiliation": "Labs",
   "sources": [
    "https://www.primamente.com/blog/prima-daedalus/",
    "https://www.primamente.com/research/"
   ],
   "source_quotes": [
    {
     "url": "https://www.primamente.com/blog/prima-daedalus/",
     "quotes": [
      "turn published assays into verified model-ready training data and evals"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.primamente.com/research/",
     "quotes": [
      "multi-agent workflows that turn published assays into verified model-ready training data"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "neuroscience",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (code not yet public)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-017"
   ]
  },
  {
   "id": "BIZ-LAB-14053",
   "name": "AI Materials Foundry (CuspAI)",
   "bucket": "prod",
   "status": "live (partner network)",
   "status_date": "— (launch date not stated)",
   "status_detail": null,
   "one_line": "CuspAI's network of industry, lab and data partners that uses its AI to design and test new materials.",
   "description": "Division as written: AI for science.",
   "uk_status": "CuspAI (see record BIZ-LAB-011)",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "CuspAI's network of industry, lab and data partners that uses its AI to design and test new materials.",
   "affiliation": "Labs",
   "sources": [
    "https://www.cusp.ai/"
   ],
   "source_quotes": [
    {
     "url": "https://www.cusp.ai/",
     "quotes": [
      "a global network of over 45 partners, including NVIDIA and Meta"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "live (partner network)",
   "ext_links": [
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-014",
     "name": "NVIDIA (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-014",
     "page_label": "Big tech in the UK"
    },
    {
     "kind": "partner_of",
     "id": "BIZ-BIG-019",
     "name": "Meta (UK)",
     "page": "big-tech",
     "href": "../big-tech/#org=BIZ-BIG-019",
     "page_label": "Big tech in the UK"
    }
   ],
   "label_links": [],
   "degree": 2,
   "related_ids": [
    "BIZ-LAB-011",
    "BIZ-LAB-12021"
   ]
  },
  {
   "id": "BIZ-LAB-14054",
   "name": "Haiper Video 1.5",
   "bucket": "prod",
   "status": "released (API and app)",
   "status_date": "— (release date not stated on docs)",
   "status_detail": null,
   "one_line": "Haiper's earlier video model that makes short clips from a text prompt or a still image.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "Haiper (see record BIZ-LAB-020)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Haiper's earlier video model that makes short clips from a text prompt or a still image.",
   "affiliation": "Labs",
   "sources": [
    "https://docs.haiper.ai/api-reference/endpoint/1-5-text-image-to-video",
    "https://docs.haiper.ai/api-reference/api-pricing"
   ],
   "source_quotes": [
    {
     "url": "https://docs.haiper.ai/api-reference/endpoint/1-5-text-image-to-video",
     "quotes": [
      "Use text or image to generate video with Haiper 1.5 model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://docs.haiper.ai/api-reference/api-pricing",
     "quotes": [
      "Haiper Video 1.5\" (price table)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (API and app)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-020"
   ]
  },
  {
   "id": "BIZ-LAB-14055",
   "name": "Haiper Video 2.0 (2.x)",
   "bucket": "prod",
   "status": "released (API and app)",
   "status_date": "— (release date not stated on docs; launch post on haiper.ai not opened)",
   "status_detail": null,
   "one_line": "Haiper's second-generation video model for text-to-video and image-to-video clips.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "Haiper (see record BIZ-LAB-020)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Haiper's second-generation video model for text-to-video and image-to-video clips.",
   "affiliation": "Labs",
   "sources": [
    "https://docs.haiper.ai/introduction",
    "https://docs.haiper.ai/api-reference/api-pricing"
   ],
   "source_quotes": [
    {
     "url": "https://docs.haiper.ai/introduction",
     "quotes": [
      "Haiper 2.0 is here"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://docs.haiper.ai/api-reference/api-pricing",
     "quotes": [
      "Haiper Video 2.x\" (price table)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (API and app)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-020"
   ]
  },
  {
   "id": "BIZ-LAB-14056",
   "name": "Haiper Image 1.5 and Haiper Image 2.x",
   "bucket": "prod",
   "status": "released (API)",
   "status_date": "— (release dates not stated)",
   "status_detail": null,
   "one_line": "Haiper's text-to-image models, offered alongside its video models.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "Haiper (see record BIZ-LAB-020)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative image"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Haiper's text-to-image models, offered alongside its video models.",
   "affiliation": "Labs",
   "sources": [
    "https://docs.haiper.ai/api-reference/endpoint/2-0-text-to-image",
    "https://docs.haiper.ai/api-reference/api-pricing"
   ],
   "source_quotes": [
    {
     "url": "https://docs.haiper.ai/api-reference/endpoint/2-0-text-to-image",
     "quotes": [
      "Create images with text prompt."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://docs.haiper.ai/api-reference/api-pricing",
     "quotes": [
      "Haiper Image 2.x\" (price table)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative image",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-020"
   ]
  },
  {
   "id": "BIZ-LAB-14057",
   "name": "Antiverse Platform",
   "bucket": "prod",
   "status": "live (in-house and partnered discovery)",
   "status_date": "— (date not stated)",
   "status_detail": null,
   "one_line": "Antiverse's AI system for designing antibodies against hard drug targets such as GPCRs and ion channels.",
   "description": "Researcher's caveat: medium. Division as written: AI for science.",
   "uk_status": "Antiverse (see record BIZ-SU-HLT-013)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Antiverse's AI system for designing antibodies against hard drug targets such as GPCRs and ion channels.",
   "affiliation": "Labs",
   "sources": [
    "https://www.antiverse.io/platform",
    "https://www.antiverse.io/"
   ],
   "source_quotes": [
    {
     "url": "https://www.antiverse.io/platform",
     "quotes": [
      "Our Platform designs developable, functional biologics for GPCRs and other challenging targets."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.antiverse.io/",
     "quotes": [
      "Generative de novo Design\" (listed capability)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live (in-house and partnered discovery)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-14058",
   "name": "AntiConf (antibody-antigen confidence score)",
   "bucket": "prod",
   "status": "released (paper)",
   "status_date": "2026-03-28",
   "status_detail": null,
   "one_line": "Antiverse method that scores how far to trust AI-predicted structures of antibodies bound to their targets.",
   "description": "Division as written: AI for science.",
   "uk_status": "Antiverse (see record BIZ-SU-HLT-013)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "protein design"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Antiverse method that scores how far to trust AI-predicted structures of antibodies bound to their targets.",
   "affiliation": "Labs",
   "sources": [
    "https://www.antiverse.io/platform"
   ],
   "source_quotes": [
    {
     "url": "https://www.antiverse.io/platform",
     "quotes": [
      "Confidence scoring for deep learning-predicted antibody–antigen complexes: AntiConf as a precision-driven metric"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "protein design",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-14059",
   "name": "Explorer (Odyssey image-to-world model)",
   "bucket": "prod",
   "status": "research (early; production trial)",
   "status_date": "2024-12-18",
   "status_detail": null,
   "one_line": "Odyssey's first model, which turns a single image into a detailed 3D world.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Odyssey's first model, which turns a single image into a detailed 3D world.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/introducing-explorer",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/introducing-explorer",
     "quotes": [
      "Explorer is an image-to-world model that transforms any image into a realized, detailed 3D world."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "World Models for Film, Gaming, and Beyond\" (dated Dec 18, 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research (early; production trial)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Garden Studios"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14060",
   "name": "Odyssey-1",
   "bucket": "prod",
   "status": "research preview (public demo)",
   "status_date": "2025-05-28",
   "status_detail": null,
   "one_line": "Odyssey's first real-time \"playable\" world model: AI video that a user can steer as it is generated.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Odyssey's first real-time \"playable\" world model: AI video that a user can steer as it is generated.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/introducing-odyssey-1",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/introducing-odyssey-1",
     "quotes": [
      "A research preview of Odyssey-1, a real-time, playable world model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Introducing Odyssey-1: A Playable World Model\" (dated May 28, 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research preview (public demo)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14061",
   "name": "Odyssey-2",
   "bucket": "prod",
   "status": "released (browser demo; API to follow)",
   "status_date": "2025-10-27",
   "status_detail": null,
   "one_line": "Odyssey's general-purpose world model that generates interactive AI video instantly.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Odyssey's general-purpose world model that generates interactive AI video instantly.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/introducing-odyssey-2",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/introducing-odyssey-2",
     "quotes": [
      "Odyssey-2 is a frontier world model that dreams AI video instantly that you can interact with."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Introducing Odyssey-2: A General-Purpose World Model\" (dated Oct 27, 2025)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (browser demo; API to follow)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14062",
   "name": "Odyssey-2 Pro",
   "bucket": "prod",
   "status": "released (API with SDKs)",
   "status_date": "2026-01-23",
   "status_detail": null,
   "one_line": "Upgraded Odyssey world model offered to developers by API for interactive video streams.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Upgraded Odyssey world model offered to developers by API for interactive video streams.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/the-gpt-2-moment-for-world-models?amp=&amp=",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/the-gpt-2-moment-for-world-models?amp=&amp=",
     "quotes": [
      "our most intelligent, interactive, and general-purpose world model yet"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "The GPT-2 Moment for World Models Is Here\" (dated Jan 23, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "released (API with SDKs)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14063",
   "name": "Odyssey-2 Max",
   "bucket": "prod",
   "status": "private beta (partners)",
   "status_date": "2026-04-21",
   "status_detail": null,
   "one_line": "Larger Odyssey world model aimed at more physically accurate simulation for robotics, games and defence partners.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Larger Odyssey world model aimed at more physically accurate simulation for robotics, games and defence partners.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/introducing-odyssey-2-max",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/introducing-odyssey-2-max",
     "quotes": [
      "Odyssey-2 Max materially advances the state-of-the-art in physical accuracy of world models."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Introducing Odyssey-2 Max: Scaled World Simulation\" (dated Apr 21, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "private beta (partners)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14064",
   "name": "Agora-1 (multi-agent world model)",
   "bucket": "prod",
   "status": "research preview (public demo)",
   "status_date": "2026-05-18",
   "status_detail": null,
   "one_line": "Odyssey world model in which several people or AI agents share and act in the same generated world at once.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Odyssey world model in which several people or AI agents share and act in the same generated world at once.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/introducing-agora-1",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/introducing-agora-1",
     "quotes": [
      "Agora-1 enables multiple participants—human or AI—to share and interact within the same world simulation in real-time"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Agora-1: The Multi-Agent World Model\" (dated May 18, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "research preview (public demo)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14065",
   "name": "Starchild-1",
   "bucket": "prod",
   "status": "announced",
   "status_date": "2026-05-18",
   "status_detail": null,
   "one_line": "Odyssey world model the company describes as the first real-time multimodal world model.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Odyssey world model the company describes as the first real-time multimodal world model.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Starchild-1: The First Real-Time Multimodal World Model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14066",
   "name": "PROWL-1 and PROWL-2",
   "bucket": "prod",
   "status": "announced (research)",
   "status_date": "2026-05-12",
   "status_detail": null,
   "one_line": "Odyssey research models that learn to act inside simulated worlds; the second learns simulation and decision-making together.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Odyssey research models that learn to act inside simulated worlds; the second learns simulation and decision-making together.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Introducing PROWL-2: Jointly Learning Simulation and Decision-Making"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced (research)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14067",
   "name": "Agora-2",
   "bucket": "prod",
   "status": "announced",
   "status_date": "2026-09-24",
   "status_detail": null,
   "one_line": "Second version of Odyssey's multi-agent world simulation model.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Second version of Odyssey's multi-agent world simulation model.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Introducing Agora-2: Advancing Multi-Agent World Simulation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14068",
   "name": "Odyssey-3",
   "bucket": "prod",
   "status": "announced (Sep 2026); further release post Oct 2026",
   "status_date": "2026-09-15",
   "status_detail": null,
   "one_line": "Odyssey's third-generation world model, described by the company as a general-purpose physical intelligence.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Odyssey's third-generation world model, described by the company as a general-purpose physical intelligence.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/writing",
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Introducing Odyssey-3: A General-Purpose Physical Intelligence"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Meet Odyssey-3: Our Most Powerful Foundation World Model"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "announced (Sep 2026); further release post Oct 2026",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14069",
   "name": "CaliBench",
   "bucket": "prod",
   "status": "released (benchmark)",
   "status_date": "2026-08-10",
   "status_detail": null,
   "one_line": "Odyssey benchmark that tests whether world models are physically calibrated.",
   "description": null,
   "uk_status": "Odyssey (see record BIZ-LAB-2004)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Odyssey benchmark that tests whether world models are physically calibrated.",
   "affiliation": "Labs",
   "sources": [
    "https://odyssey.systems/writing"
   ],
   "source_quotes": [
    {
     "url": "https://odyssey.systems/writing",
     "quotes": [
      "Introducing CaliBench: Are World Models Physically Calibrated?"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "released (benchmark)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2004"
   ]
  },
  {
   "id": "BIZ-LAB-14070",
   "name": "Malted Platform (specialised small language models)",
   "bucket": "prod",
   "status": "live (product)",
   "status_date": "— (launch date not stated)",
   "status_detail": null,
   "one_line": "Malted AI's system that uses small, specialised language models to analyse customer calls, chats and emails for financial services.",
   "description": null,
   "uk_status": "Malted AI (see record BIZ-LAB-2009)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "Frontier and foundation models"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Frontier and foundation models",
   "function": "Malted AI's system that uses small, specialised language models to analyse customer calls, chats and emails for financial services.",
   "affiliation": "Labs",
   "sources": [
    "https://www.malted.ai/"
   ],
   "source_quotes": [
    {
     "url": "https://www.malted.ai/",
     "quotes": [
      "100x more efficient than large general-purpose models"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "Frontier and foundation models",
     "div": "frontier-and-foundation-models"
    }
   ],
   "div_label": "Frontier and foundation models",
   "location": null,
   "status_group": "live (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-14072",
   "name": "Sessions (Roleplay, Survey and Expert Sessions)",
   "bucket": "prod",
   "status": "live (Roleplay and Survey); Expert coming",
   "status_date": "2026-10-01",
   "status_detail": null,
   "one_line": "Synthesia platform where interactive AI avatars hold live conversations with staff for coaching, surveys and guidance.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Synthesia (see record BIZ-LAB-004)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia platform where interactive AI avatars hold live conversations with staff for coaching, surveys and guidance.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/sessions-interactive-avatar-platform",
    "https://www.synthesia.io/blog/category/synthesia"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/sessions-interactive-avatar-platform",
     "quotes": [
      "real, back-and-forth conversations with a lifelike Avatar - for practice, gathering insight, and expert guidance"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/blog/category/synthesia",
     "quotes": [
      "Introducing Roleplay Sessions: Interactive Coaching and Practice with Avatars\" (dated Jul 22, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (Roleplay and Survey); Expert coming",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Hays"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-14073",
   "name": "Dubbing 2.0 (Synthesia)",
   "bucket": "prod",
   "status": "live (product)",
   "status_date": "2026-07-15",
   "status_detail": null,
   "one_line": "Synthesia's upgraded video dubbing, translating speech into other languages with matching lip movements.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Synthesia (see record BIZ-LAB-004)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia's upgraded video dubbing, translating speech into other languages with matching lip movements.",
   "affiliation": "Labs",
   "sources": [
    "https://www.synthesia.io/post/introducing-dubbing-2-0",
    "https://www.synthesia.io/blog/category/synthesia"
   ],
   "source_quotes": [
    {
     "url": "https://www.synthesia.io/post/introducing-dubbing-2-0",
     "quotes": [
      "Dubbing 2.0 has better lip sync, more natural voices, smarter translations, and a faster editing workflow"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.synthesia.io/blog/category/synthesia",
     "quotes": [
      "Introducing Dubbing 2.0\" (dated Jul 15, 2026)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-14074",
   "name": "Personal Avatars (Synthesia digital twins)",
   "bucket": "prod",
   "status": "live (paid plans)",
   "status_date": "— (launch date not stated; docs page modified 22 Oct 2026)",
   "status_detail": null,
   "one_line": "Synthesia feature that builds a talking digital copy of a real person from a photo, webcam or studio footage.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Synthesia (see record BIZ-LAB-004)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Synthesia feature that builds a talking digital copy of a real person from a photo, webcam or studio footage.",
   "affiliation": "Labs",
   "sources": [
    "https://docs.synthesia.io/docs/personal-avatars"
   ],
   "source_quotes": [
    {
     "url": "https://docs.synthesia.io/docs/personal-avatars",
     "quotes": [
      "Create a digital twin that talks and looks just like you to use in your Synthesia videos"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (paid plans)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-004"
   ]
  },
  {
   "id": "BIZ-LAB-14075",
   "name": "Owl (PolyAI speech recognition model)",
   "bucket": "prod",
   "status": "live (inside PolyAI platform)",
   "status_date": "2025-06-03",
   "status_detail": null,
   "one_line": "PolyAI's own speech-to-text model, built to hear callers accurately over phone lines with noise and accents.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "PolyAI (see record BIZ-LAB-007)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "PolyAI's own speech-to-text model, built to hear callers accurately over phone lines with noise and accents.",
   "affiliation": "Labs",
   "sources": [
    "https://poly.ai/blog/owl-speech-recognition-model-polyai",
    "https://poly.ai/technology"
   ],
   "source_quotes": [
    {
     "url": "https://poly.ai/blog/owl-speech-recognition-model-polyai",
     "quotes": [
      "Owl is purpose built for customer service over the phone."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://poly.ai/technology",
     "quotes": [
      "PolyAI's Owl ASR cuts through static, accents, and background noise."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (inside PolyAI platform)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-007"
   ]
  },
  {
   "id": "BIZ-LAB-14076",
   "name": "Dialog-RSN-1",
   "bucket": "prod",
   "status": "released (API)",
   "status_date": "— (exact release date not stated; API live on post of 18 May 2026, page modified 25 Sep 2026)",
   "status_detail": null,
   "one_line": "PolyAI's newest dialogue model, offered by API, which the company says handles conversational turn-taking differently.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "PolyAI (see record BIZ-LAB-007)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "voice agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "PolyAI's newest dialogue model, offered by API, which the company says handles conversational turn-taking differently.",
   "affiliation": "Labs",
   "sources": [
    "https://poly.ai/technology",
    "https://poly.ai/blog/agentic-dialog-platform-open-to-builders"
   ],
   "source_quotes": [
    {
     "url": "https://poly.ai/technology",
     "quotes": [
      "The Dialog-RSN-1 API is live."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://poly.ai/blog/agentic-dialog-platform-open-to-builders",
     "quotes": [
      "for a limited time\" (on the $100 free credit for Dialog-RSN-1 API accounts)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (API)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-007"
   ]
  },
  {
   "id": "BIZ-LAB-14077",
   "name": "Wren Dialog Agent",
   "bucket": "prod",
   "status": "live (product)",
   "status_date": "— (date not stated)",
   "status_detail": null,
   "one_line": "PolyAI agent for designing, building, testing and improving voice and chat agents.",
   "description": "Researcher's caveat: medium. Division as written: Frontier and foundation models.",
   "uk_status": "PolyAI (see record BIZ-LAB-007)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "voice agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "PolyAI agent for designing, building, testing and improving voice and chat agents.",
   "affiliation": "Labs",
   "sources": [
    "https://poly.ai/technology",
    "https://poly.ai/blog/agentic-dialog-platform-open-to-builders"
   ],
   "source_quotes": [
    {
     "url": "https://poly.ai/technology",
     "quotes": [
      "Design, build, test, and continuously optimize every agentic dialog experience."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://poly.ai/blog/agentic-dialog-platform-open-to-builders",
     "quotes": [
      "Wren Dialog Agent\" (listed product)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-007"
   ]
  },
  {
   "id": "BIZ-LAB-14078",
   "name": "Concierge Chat (Omnichannel Intelligence Hub)",
   "bucket": "prod",
   "status": "live (product)",
   "status_date": "2026-01-07",
   "status_detail": null,
   "one_line": "PolyAI's chat assistant for retail websites, replacing search boxes with a single guided conversation.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "PolyAI (see record BIZ-LAB-007)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "voice agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "PolyAI's chat assistant for retail websites, replacing search boxes with a single guided conversation.",
   "affiliation": "Labs",
   "sources": [
    "https://poly.ai/blog/how-polyai-brought-its-omnichannel-intelligence-hub-to-concierge-chat"
   ],
   "source_quotes": [
    {
     "url": "https://poly.ai/blog/how-polyai-brought-its-omnichannel-intelligence-hub-to-concierge-chat",
     "quotes": [
      "replacing multiple search queries with a single, concierge-like interaction."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "voice agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (product)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-007"
   ]
  },
  {
   "id": "BIZ-LAB-14080",
   "name": "Muse (WHAM-1.6B, World and Human Action Model)",
   "bucket": "prod",
   "status": "research (Nature paper; demonstrator)",
   "status_date": "2025-02-19",
   "status_detail": null,
   "one_line": "Microsoft's generative model of a video game, built with Ninja Theory, that predicts gameplay visuals and player actions to help designers try out ideas.",
   "description": "Researcher's caveat: high. Division as written: Corporate research labs.",
   "uk_status": "Microsoft Research Cambridge (see record BIZ-LAB-2013)",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Microsoft's generative model of a video game, built with Ninja Theory, that predicts gameplay visuals and player actions to help designers try out ideas.",
   "affiliation": "Labs",
   "sources": [
    "https://www.microsoft.com/en-us/research/project/wham/",
    "https://www.microsoft.com/en-us/research/group/game-intelligence/"
   ],
   "source_quotes": [
    {
     "url": "https://www.microsoft.com/en-us/research/project/wham/",
     "quotes": [
      "a family of generative AI models that capture both the environment (\"world\") and human actions"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.microsoft.com/en-us/research/group/game-intelligence/",
     "quotes": [
      "Introducing Muse: Our first generative AI model designed for gameplay ideation"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "research (Nature paper; demonstrator)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "Ninja Theory"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2013"
   ]
  },
  {
   "id": "BIZ-LAB-14081",
   "name": "WHAMM (real-time successor to WHAM; Quake II demo)",
   "bucket": "prod",
   "status": "research demo (Copilot Labs)",
   "status_date": "2025-04-04",
   "status_detail": null,
   "one_line": "Faster follow-up to Muse that generates a playable AI version of Quake II in real time.",
   "description": "Division as written: Corporate research labs.",
   "uk_status": "Microsoft Research (see record BIZ-LAB-2013)",
   "company": null,
   "place": {
    "text": "Cambridge",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: East of England"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Faster follow-up to Muse that generates a playable AI version of Quake II in real time.",
   "affiliation": "Labs",
   "sources": [
    "https://www.microsoft.com/en-us/research/articles/whamm-real-time-world-modelling-of-interactive-environments/"
   ],
   "source_quotes": [
    {
     "url": "https://www.microsoft.com/en-us/research/articles/whamm-real-time-world-modelling-of-interactive-environments/",
     "quotes": [
      "WHAMM is able to generate images at 10+ frames a second, enabling real-time video generation."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "Cambridge",
   "status_group": "research demo (Copilot Labs)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-2013"
   ]
  },
  {
   "id": "BIZ-LAB-14082",
   "name": "Aardvark Weather (end-to-end AI weather prediction)",
   "bucket": "prod",
   "status": "research (Nature paper)",
   "status_date": "2025 (Nature vol. 641; Turing blog 20 Mar 2025)",
   "status_detail": null,
   "one_line": "AI system that goes straight from raw weather observations to forecasts, replacing the traditional forecasting pipeline with one model.",
   "description": "Researcher's caveat: high. Division as written: Non-profit and independent research labs.",
   "uk_status": "The Alan Turing Institute (see record BIZ-SAFE-2060) with University of Cambridge and Microsoft Research",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "AI system that goes straight from raw weather observations to forecasts, replacing the traditional forecasting pipeline with one model.",
   "affiliation": "Labs",
   "sources": [
    "https://www.turing.ac.uk/science-innovation/environment-and-sustainability/environmental-forecasting/end-to-end-forecasting",
    "https://www.turing.ac.uk/news/publications/end-end-data-driven-weather-prediction"
   ],
   "source_quotes": [
    {
     "url": "https://www.turing.ac.uk/science-innovation/environment-and-sustainability/environmental-forecasting/end-to-end-forecasting",
     "quotes": [
      "an end-to-end AI forecasting system that replaces the traditional weather prediction pipeline with a single machine learning model."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.turing.ac.uk/news/publications/end-end-data-driven-weather-prediction",
     "quotes": [
      "Skilful forecasting is possible without relying on NWP at deployment time"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (Nature paper)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "University of Cambridge"
    },
    {
     "kind": "partner_of",
     "name": "Microsoft Research"
    }
   ],
   "degree": 0,
   "related_ids": []
  },
  {
   "id": "BIZ-LAB-14083",
   "name": "Mantic forecasting system (Scan, Forecast, Monitor)",
   "bucket": "prod",
   "status": "live (product, by demo)",
   "status_date": "— (launch date not stated)",
   "status_detail": null,
   "one_line": "Mantic's AI that gives probabilities, with reasoning and sources, for future world events and updates them as news changes.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "Mantic (see record BIZ-LAB-023)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "forecasting"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Mantic's AI that gives probabilities, with reasoning and sources, for future world events and updates them as news changes.",
   "affiliation": "Labs",
   "sources": [
    "https://mantic.com/",
    "https://www.mantic.com/news"
   ],
   "source_quotes": [
    {
     "url": "https://mantic.com/",
     "quotes": [
      "Mantic predicts world events."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://www.mantic.com/news",
     "quotes": [
      "This summer it beat all 676 human forecasters in the Metaculus Cup."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "forecasting",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (product, by demo)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-023"
   ]
  },
  {
   "id": "BIZ-LAB-14084",
   "name": "Veo (first version) in YouTube Dream Screen",
   "bucket": "prod",
   "status": "superseded (product integration)",
   "status_date": "2024-09-18 (YouTube integration announced; May 2024 launch post on blog.google not opened)",
   "status_detail": null,
   "one_line": "Google DeepMind's first Veo video model, brought to YouTube Shorts to make short background clips from a chosen image.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (see record BIZ-LAB-001)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "generative video"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind's first Veo video model, brought to YouTube Shorts to make short background clips from a chosen image.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/empowering-youtube-creators-with-generative-ai/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/empowering-youtube-creators-with-generative-ai/",
     "quotes": [
      "Veo generates a high-quality 6 second background video"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "generative video",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "superseded (product integration)",
   "ext_links": [],
   "label_links": [
    {
     "kind": "partner_of",
     "name": "YouTube"
    }
   ],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14085",
   "name": "DeepNash (Stratego agent)",
   "bucket": "prod",
   "status": "research (Science paper)",
   "status_date": "2022-12-01",
   "status_detail": null,
   "one_line": "DeepMind agent that taught itself the hidden-information board game Stratego to human expert level.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (see record BIZ-LAB-001)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "AI reasoning"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "DeepMind agent that taught itself the hidden-information board game Stratego to human expert level.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/mastering-stratego-the-classic-game-of-imperfect-information/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/mastering-stratego-the-classic-game-of-imperfect-information/",
     "quotes": [
      "DeepNash, an AI agent that learned the game from scratch to a human expert level by playing against itself."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "AI reasoning",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (Science paper)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14086",
   "name": "FermiNet (Fermionic Neural Network)",
   "bucket": "prod",
   "status": "released (open code; papers)",
   "status_date": "2020-10-19 (first post; updated 22 Aug 2024 for excited-states Science paper)",
   "status_detail": null,
   "one_line": "Neural network that calculates the quantum behaviour of electrons in molecules from first principles.",
   "description": "Researcher's caveat: high. Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (see record BIZ-LAB-001)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "materials science"
   ],
   "confidence": "verified",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Neural network that calculates the quantum behaviour of electrons in molecules from first principles.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/ferminet-quantum-physics-and-chemistry-from-first-principles/",
    "https://deepmind.google/blog/page/8/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/ferminet-quantum-physics-and-chemistry-from-first-principles/",
     "quotes": [
      "is well-suited to modeling the quantum state of large collections of electrons."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    },
    {
     "url": "https://deepmind.google/blog/page/8/",
     "quotes": [
      "FermiNet: Quantum physics and chemistry from first principles\" (listed August 2024)"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": false,
   "confidence_raw": "verified",
   "depts": [
    {
     "dept": "materials science",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "released (open code; papers)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14087",
   "name": "XLand open-ended learning agents",
   "bucket": "prod",
   "status": "research (paper only)",
   "status_date": "2021-07-27",
   "status_detail": null,
   "one_line": "DeepMind agents trained across hundreds of thousands of generated 3D games that learned general game-playing behaviour.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "DeepMind (see record BIZ-LAB-001)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "general AI agents"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "DeepMind agents trained across hundreds of thousands of generated 3D games that learned general game-playing behaviour.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/generally-capable-agents-emerge-from-open-ended-play/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/generally-capable-agents-emerge-from-open-ended-play/",
     "quotes": [
      "XLand, which includes many multiplayer games within consistent, human-relatable 3D worlds."
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "general AI agents",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "research (paper only)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14088",
   "name": "Multi-speaker dialogue generation (behind NotebookLM Audio Overviews)",
   "bucket": "prod",
   "status": "live (inside Google products)",
   "status_date": "2024-10-30",
   "status_detail": null,
   "one_line": "Google DeepMind speech technology that writes out two-person podcast-style conversations as audio, used in NotebookLM Audio Overviews.",
   "description": "Division as written: Frontier and foundation models.",
   "uk_status": "Google DeepMind (see record BIZ-LAB-001)",
   "company": null,
   "place": {
    "text": "London",
    "postcode": null,
    "lat": null,
    "lng": null,
    "region": "England: London"
   },
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "speech and audio AI"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Google DeepMind speech technology that writes out two-person podcast-style conversations as audio, used in NotebookLM Audio Overviews.",
   "affiliation": "Labs",
   "sources": [
    "https://deepmind.google/blog/pushing-the-frontiers-of-audio-generation/"
   ],
   "source_quotes": [
    {
     "url": "https://deepmind.google/blog/pushing-the-frontiers-of-audio-generation/",
     "quotes": [
      "Our latest speech generation technology can produce 2 minutes of dialogue"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "speech and audio AI",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": "London",
   "status_group": "live (inside Google products)",
   "ext_links": [],
   "label_links": [],
   "degree": 1,
   "related_ids": [
    "BIZ-LAB-001"
   ]
  },
  {
   "id": "BIZ-LAB-14089",
   "name": "Shift Bioscience virtual cell and cell-ageing clock platform (SB000 discovery)",
   "bucket": "prod",
   "status": "live (in-house discovery platform)",
   "status_date": "2025-06-09 (first named target announced)",
   "status_detail": null,
   "one_line": "Shift Bioscience's AI \"virtual cell\" and ageing-clock tools, used to find single genes that may make old cells behave younger.",
   "description": "Division as written: AI for science.",
   "uk_status": "Shift Bioscience (see record BIZ-SU-HLT-025)",
   "company": null,
   "place": null,
   "people": [],
   "money": [],
   "site": null,
   "product": null,
   "dsit_domains": [],
   "sectors": [
    "biology"
   ],
   "confidence": "single_source",
   "checked": "2026-10-30",
   "as_of": "2026-10-30",
   "applied": null,
   "held": null,
   "same_as": null,
   "package1_id": null,
   "type": "Chips, models and products",
   "category": "Companies",
   "function": "Shift Bioscience's AI \"virtual cell\" and ageing-clock tools, used to find single genes that may make old cells behave younger.",
   "affiliation": "Labs",
   "sources": [
    "https://www.shiftbioscience.com/news/shift-bioscience-identifies-novel-single-gene-target"
   ],
   "source_quotes": [
    {
     "url": "https://www.shiftbioscience.com/news/shift-bioscience-identifies-novel-single-gene-target",
     "quotes": [
      "SB000 reverses cellular ageing as measured by DNA methylation clocks in multiple cell types"
     ],
     "accessed": "2026-10-30",
     "trade": false,
     "amendment": false
    }
   ],
   "website": [],
   "colleges": [],
   "topics": [],
   "one_source": true,
   "confidence_raw": "single_source",
   "depts": [
    {
     "dept": "biology",
     "div": "companies"
    }
   ],
   "div_label": "Companies",
   "location": null,
   "status_group": "live (in-house discovery platform)",
   "ext_links": [],
   "label_links": [],
   "degree": 0,
   "related_ids": []
  }
 ],
 "links": [
  {
   "source": "BIZ-LAB-009",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-009 links: alumni_of → BIZ-LAB-001 (founder)"
  },
  {
   "source": "BIZ-LAB-012",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-012 links: alumni_of → BIZ-LAB-001 (founder)"
  },
  {
   "source": "BIZ-LAB-013",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-013 links: alumni_of → BIZ-LAB-001 (co-founder)"
  },
  {
   "source": "BIZ-LAB-014",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-014 links: alumni_of → BIZ-LAB-001 (three co-founders)"
  },
  {
   "source": "BIZ-LAB-015",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-015 links: alumni_of → BIZ-LAB-001 (founder)"
  },
  {
   "source": "BIZ-LAB-016",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-016 links: alumni_of → BIZ-LAB-001 (two co-founders)"
  },
  {
   "source": "BIZ-LAB-020",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-020 links: alumni_of → BIZ-LAB-001 (founders)"
  },
  {
   "source": "BIZ-LAB-023",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-023 links: alumni_of → BIZ-LAB-001 (co-founder)"
  },
  {
   "source": "BIZ-LAB-2002",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-2002 links: alumni_of → Google DeepMind"
  },
  {
   "source": "BIZ-LAB-2005",
   "target": "BIZ-LAB-001",
   "kind": "alumni_of",
   "evidence": "BIZ-LAB-2005 links: alumni_of → Google DeepMind"
  },
  {
   "source": "BIZ-LAB-2012",
   "target": "BIZ-LAB-001",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-2012 links: partner_of → Google DeepMind"
  },
  {
   "source": "BIZ-LAB-2012",
   "target": "BIZ-LAB-010",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-2012 links: partner_of → Basecamp Research"
  },
  {
   "source": "BIZ-LAB-3001",
   "target": "BIZ-LAB-013",
   "kind": "made_by",
   "evidence": "BIZ-LAB-3001 links: made_by → BIZ-LAB-013 Recursive Superintelligence"
  },
  {
   "source": "BIZ-LAB-3002",
   "target": "BIZ-LAB-014",
   "kind": "made_by",
   "evidence": "BIZ-LAB-3002 links: made_by → BIZ-LAB-014 Inherent"
  },
  {
   "source": "BIZ-LAB-3003",
   "target": "BIZ-LAB-016",
   "kind": "made_by",
   "evidence": "BIZ-LAB-3003 links: made_by → BIZ-LAB-016 Hiverge"
  },
  {
   "source": "BIZ-LAB-3004",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-3004 links: made_by → BIZ-LAB-001 Google DeepMind"
  },
  {
   "source": "BIZ-LAB-3005",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-3005 links: made_by → BIZ-LAB-001 Google DeepMind"
  },
  {
   "source": "BIZ-LAB-3006",
   "target": "BIZ-LAB-2008",
   "kind": "made_by",
   "evidence": "BIZ-LAB-3006 links: made_by → BIZ-LAB-2008 Locai Labs"
  },
  {
   "source": "BIZ-LAB-3007",
   "target": "BIZ-LAB-2008",
   "kind": "made_by",
   "evidence": "BIZ-LAB-3007 links: made_by → BIZ-LAB-2008 Locai Labs"
  },
  {
   "source": "BIZ-LAB-3012",
   "target": "BIZ-LAB-001",
   "kind": "part_of",
   "evidence": "BIZ-LAB-3012 links: part_of → BIZ-LAB-001 Google DeepMind"
  },
  {
   "source": "BIZ-LAB-6003",
   "target": "BIZ-LAB-6004",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-6003 links: partner_of → BIZ-LAB-6004"
  },
  {
   "source": "BIZ-LAB-6004",
   "target": "BIZ-LAB-6003",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-6004 links: partner_of → BIZ-LAB-6003"
  },
  {
   "source": "BIZ-LAB-6008",
   "target": "BIZ-LAB-6007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-6008 links: made_by → BIZ-LAB-6007 (Met Office)"
  },
  {
   "source": "BIZ-LAB-6009",
   "target": "BIZ-LAB-001",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-6009 links: partner_of → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-6010",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-6010 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-6010",
   "target": "BIZ-LAB-6009",
   "kind": "made_by",
   "evidence": "BIZ-LAB-6010 links: made_by → BIZ-LAB-6009 (EMBL-EBI)"
  },
  {
   "source": "BIZ-LAB-7001",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7001 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7002",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7002 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7003",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7003 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7004",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7004 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7005",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7005 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7006",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7006 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7008",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7008 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7009",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7009 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7010",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7010 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7011",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7011 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7012",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7012 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7013",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7013 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7014",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7014 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7015",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7015 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7016",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7016 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7017",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7017 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7018",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7018 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7019",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7019 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7021",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7021 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7022",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7022 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7023",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7023 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7024",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7024 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7025",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7025 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7026",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7026 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7027",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7027 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7028",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7028 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7029",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7029 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7030",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7030 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7031",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7031 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7032",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7032 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7033",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7033 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7034",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7034 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7035",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7035 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7036",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7036 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-7037",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7037 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7038",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7038 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7039",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7039 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7040",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7040 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7041",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7041 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7042",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7042 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7043",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7043 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7044",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7044 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7045",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7045 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7046",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7046 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7047",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7047 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7048",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7048 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7049",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7049 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7050",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7050 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7051",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7051 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7052",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7052 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7053",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7053 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7054",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7054 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7055",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7055 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7056",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7056 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-7057",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7057 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7058",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7058 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7059",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7059 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7060",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7060 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7061",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7061 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7062",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7062 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7063",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7063 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7064",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7064 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7065",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7065 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7066",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7066 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7067",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7067 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7068",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7068 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7069",
   "target": "BIZ-LAB-003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7069 links: made_by → Wayve (BIZ-LAB-003)"
  },
  {
   "source": "BIZ-LAB-7070",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7070 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-7071",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7071 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-7072",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7072 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-7072",
   "target": "BIZ-LAB-001",
   "kind": "buys_from",
   "evidence": "BIZ-LAB-7072 links: buys_from → Google DeepMind (Veo 3 integration)"
  },
  {
   "source": "BIZ-LAB-7073",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7073 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-7074",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7074 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-7075",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7075 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-7076",
   "target": "BIZ-LAB-002",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7076 links: made_by → Isomorphic Labs (BIZ-LAB-002)"
  },
  {
   "source": "BIZ-LAB-7077",
   "target": "BIZ-LAB-002",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7077 links: made_by → Isomorphic Labs (BIZ-LAB-002)"
  },
  {
   "source": "BIZ-LAB-7078",
   "target": "BIZ-LAB-007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7078 links: made_by → PolyAI (BIZ-LAB-007)"
  },
  {
   "source": "BIZ-LAB-7079",
   "target": "BIZ-LAB-007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7079 links: made_by → PolyAI (BIZ-LAB-007)"
  },
  {
   "source": "BIZ-LAB-7080",
   "target": "BIZ-LAB-009",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7080 links: made_by → Latent Labs (BIZ-LAB-009)"
  },
  {
   "source": "BIZ-LAB-7081",
   "target": "BIZ-LAB-009",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7081 links: made_by → Latent Labs (BIZ-LAB-009)"
  },
  {
   "source": "BIZ-LAB-7082",
   "target": "BIZ-LAB-009",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7082 links: made_by → Latent Labs (BIZ-LAB-009)"
  },
  {
   "source": "BIZ-LAB-7083",
   "target": "BIZ-LAB-010",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7083 links: made_by → Basecamp Research (BIZ-LAB-010)"
  },
  {
   "source": "BIZ-LAB-7084",
   "target": "BIZ-LAB-010",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7084 links: made_by → Basecamp Research (BIZ-LAB-010)"
  },
  {
   "source": "BIZ-LAB-7085",
   "target": "BIZ-LAB-010",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7085 links: made_by → Basecamp Research (BIZ-LAB-010)"
  },
  {
   "source": "BIZ-LAB-7086",
   "target": "BIZ-LAB-008",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7086 links: made_by → PhysicsX (BIZ-LAB-008)"
  },
  {
   "source": "BIZ-LAB-7087",
   "target": "BIZ-LAB-008",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7087 links: made_by → PhysicsX (BIZ-LAB-008)"
  },
  {
   "source": "BIZ-LAB-7088",
   "target": "BIZ-LAB-008",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7088 links: made_by → PhysicsX (BIZ-LAB-008)"
  },
  {
   "source": "BIZ-LAB-7089",
   "target": "BIZ-LAB-008",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7089 links: made_by → PhysicsX (BIZ-LAB-008)"
  },
  {
   "source": "BIZ-LAB-7090",
   "target": "BIZ-LAB-024",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7090 links: made_by → Orbital Industries (BIZ-LAB-024)"
  },
  {
   "source": "BIZ-LAB-7091",
   "target": "BIZ-LAB-024",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7091 links: made_by → Orbital Industries (BIZ-LAB-024)"
  },
  {
   "source": "BIZ-LAB-7092",
   "target": "BIZ-LAB-024",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7092 links: made_by → Orbital Industries (BIZ-LAB-024)"
  },
  {
   "source": "BIZ-LAB-7093",
   "target": "BIZ-LAB-024",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7093 links: made_by → Orbital Industries (BIZ-LAB-024)"
  },
  {
   "source": "BIZ-LAB-7094",
   "target": "BIZ-LAB-024",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7094 links: made_by → Orbital Industries (BIZ-LAB-024)"
  },
  {
   "source": "BIZ-LAB-7095",
   "target": "BIZ-LAB-024",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7095 links: made_by → Orbital Industries (BIZ-LAB-024)"
  },
  {
   "source": "BIZ-LAB-7098",
   "target": "BIZ-LAB-2008",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7098 links: made_by → Locai Labs (BIZ-LAB-2008) (collaboration)"
  },
  {
   "source": "BIZ-LAB-7099",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7099 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7100",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7100 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7101",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7101 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7102",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7102 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7103",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7103 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7104",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7104 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7105",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7105 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7106",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7106 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7107",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7107 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7108",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7108 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7109",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7109 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7110",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7110 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7111",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7111 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7112",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7112 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7113",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7113 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7114",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7114 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7115",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7115 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7116",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7116 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7117",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7117 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7118",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7118 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7119",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7119 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7120",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7120 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7121",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7121 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7122",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7122 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7123",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7123 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7124",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7124 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7125",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7125 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7126",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7126 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7127",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7127 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7128",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7128 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7129",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7129 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7130",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7130 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7131",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7131 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7132",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7132 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7133",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7133 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7134",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7134 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7135",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7135 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7136",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7136 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7137",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7137 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7138",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7138 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7139",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7139 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7140",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7140 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7141",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7141 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7142",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7142 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7143",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7143 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7144",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7144 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7145",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7145 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7146",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7146 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7147",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7147 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7148",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7148 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7149",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7149 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7150",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7150 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7151",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7151 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7152",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7152 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7153",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7153 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7154",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7154 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7155",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7155 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7156",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7156 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7157",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7157 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7158",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7158 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7159",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7159 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7160",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7160 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7161",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7161 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7162",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7162 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7163",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7163 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7164",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7164 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7165",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7165 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7166",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7166 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7167",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7167 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7168",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7168 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7169",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7169 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7170",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7170 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7171",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7171 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7172",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7172 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7173",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7173 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7174",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7174 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7175",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7175 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7177",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7177 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7178",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7178 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7179",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7179 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7180",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7180 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7181",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7181 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7182",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7182 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7183",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7183 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7184",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7184 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-7185",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-7185 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-10002",
   "target": "BIZ-LAB-10001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-10002 links: made_by → UK Atomic Energy Authority (BIZ-LAB-10001)"
  },
  {
   "source": "BIZ-LAB-10003",
   "target": "BIZ-LAB-10004",
   "kind": "related",
   "evidence": "BIZ-LAB-10003 links: related → — (see made_by links on BIZ-LAB-10004 to 10006)"
  },
  {
   "source": "BIZ-LAB-10004",
   "target": "BIZ-LAB-10003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-10004 links: made_by → ECMWF (BIZ-LAB-10003)"
  },
  {
   "source": "BIZ-LAB-10005",
   "target": "BIZ-LAB-10003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-10005 links: made_by → ECMWF (BIZ-LAB-10003)"
  },
  {
   "source": "BIZ-LAB-10006",
   "target": "BIZ-LAB-10003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-10006 links: made_by → ECMWF (BIZ-LAB-10003)"
  },
  {
   "source": "BIZ-LAB-10007",
   "target": "BIZ-LAB-017",
   "kind": "made_by",
   "evidence": "BIZ-LAB-10007 links: made_by → Prima Mente (BIZ-LAB-017)"
  },
  {
   "source": "BIZ-LAB-14050",
   "target": "BIZ-LAB-017",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14050 links: made_by → Prima Mente (BIZ-LAB-017)"
  },
  {
   "source": "BIZ-LAB-14079",
   "target": "BIZ-LAB-025",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14079 links: made_by → Applied Computing (BIZ-LAB-025)"
  },
  {
   "source": "BIZ-LAB-10012",
   "target": "BIZ-LAB-019",
   "kind": "made_by",
   "evidence": "BIZ-LAB-10012 links: made_by → Unlikely AI (BIZ-LAB-019)"
  },
  {
   "source": "BIZ-LAB-10013",
   "target": "BIZ-SU-HLT-3026",
   "kind": "made_by",
   "evidence": "BIZ-LAB-10013 links: made_by → Cogitat (BIZ-SU-HLT-3026)"
  },
  {
   "source": "BIZ-LAB-10015",
   "target": "BIZ-LAB-10001",
   "kind": "supplies",
   "evidence": "BIZ-LAB-10015 links: supplies → UK Atomic Energy Authority (BIZ-LAB-10001)"
  },
  {
   "source": "BIZ-LAB-11006",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-11006 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-12001",
   "target": "BIZ-LAB-12003",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-12001 links: partner_of → Optibrium"
  },
  {
   "source": "BIZ-LAB-12002",
   "target": "BIZ-LAB-12001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12002 links: made_by → Intellegens"
  },
  {
   "source": "BIZ-LAB-12003",
   "target": "BIZ-LAB-12001",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-12003 links: partner_of → Intellegens"
  },
  {
   "source": "BIZ-LAB-12004",
   "target": "BIZ-LAB-12003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12004 links: made_by → Optibrium"
  },
  {
   "source": "BIZ-LAB-12006",
   "target": "BIZ-LAB-12005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12006 links: made_by → PharmEnable"
  },
  {
   "source": "BIZ-LAB-12010",
   "target": "BIZ-LAB-12009",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12010 links: made_by → Concr"
  },
  {
   "source": "BIZ-LAB-12017",
   "target": "BIZ-LAB-2007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12017 links: made_by → Boltz"
  },
  {
   "source": "BIZ-LAB-12018",
   "target": "BIZ-LAB-2007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12018 links: made_by → Boltz"
  },
  {
   "source": "BIZ-LAB-12019",
   "target": "BIZ-LAB-2007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12019 links: made_by → Boltz"
  },
  {
   "source": "BIZ-LAB-12020",
   "target": "BIZ-LAB-2007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12020 links: made_by → Boltz"
  },
  {
   "source": "BIZ-LAB-12021",
   "target": "BIZ-LAB-011",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12021 links: made_by → CuspAI"
  },
  {
   "source": "BIZ-LAB-12026",
   "target": "BIZ-LAB-010",
   "kind": "made_by",
   "evidence": "BIZ-LAB-12026 links: made_by → Basecamp Research"
  },
  {
   "source": "BIZ-LAB-13002",
   "target": "BIZ-LAB-13001",
   "kind": "part_of",
   "evidence": "BIZ-LAB-13002 links: part_of → Dstl AI and data science research (BIZ-LAB-13001)"
  },
  {
   "source": "BIZ-LAB-13004",
   "target": "BIZ-LAB-13003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-13004 links: made_by → British Antarctic Survey AI Lab (BIZ-LAB-13003)"
  },
  {
   "source": "BIZ-LAB-13005",
   "target": "BIZ-LAB-13003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-13005 links: made_by → British Antarctic Survey AI Lab (BIZ-LAB-13003)"
  },
  {
   "source": "BIZ-LAB-13007",
   "target": "BIZ-LAB-001",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-13007 links: partner_of → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-13011",
   "target": "BIZ-LAB-6004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-13011 links: made_by → TR Labs Foundational Research, London hub (BIZ-LAB-6004)"
  },
  {
   "source": "BIZ-LAB-13011",
   "target": "BIZ-LAB-6003",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-13011 links: partner_of → Frontier AI Research Lab (BIZ-LAB-6003) (Snowdon base model)"
  },
  {
   "source": "BIZ-LAB-13012",
   "target": "BIZ-LAB-6003",
   "kind": "made_by",
   "evidence": "BIZ-LAB-13012 links: made_by → Frontier AI Research Lab (Thomson Reuters and Imperial College London) (BIZ-LAB-6003)"
  },
  {
   "source": "BIZ-LAB-13012",
   "target": "BIZ-LAB-13011",
   "kind": "supplies",
   "evidence": "BIZ-LAB-13012 links: supplies → Thomson (BIZ-LAB-13011)"
  },
  {
   "source": "BIZ-LAB-14001",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14001 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14002",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14002 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14003",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14003 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14004",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14004 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14005",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14005 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14006",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14006 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14007",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14007 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14008",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14008 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14009",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14009 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14010",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14010 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14011",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14011 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14012",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14012 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14013",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14013 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14014",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14014 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14015",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14015 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14016",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14016 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14017",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14017 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14018",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14018 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14019",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14019 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14020",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14020 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14021",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14021 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14022",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14022 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14023",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14023 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14024",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14024 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14025",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14025 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14026",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14026 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14027",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14027 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14027",
   "target": "BIZ-LAB-6007",
   "kind": "partner_of",
   "evidence": "BIZ-LAB-14027 links: partner_of → Met Office AI research (BIZ-LAB-6007)"
  },
  {
   "source": "BIZ-LAB-14028",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14028 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14029",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14029 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-14030",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14030 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-14031",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14031 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-14032",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14032 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-14033",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14033 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-14034",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14034 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-14035",
   "target": "BIZ-LAB-006",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14035 links: made_by → Stability AI (BIZ-LAB-006)"
  },
  {
   "source": "BIZ-LAB-14036",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14036 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-14037",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14037 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-14038",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14038 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-14039",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14039 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-14040",
   "target": "BIZ-LAB-005",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14040 links: made_by → ElevenLabs (BIZ-LAB-005)"
  },
  {
   "source": "BIZ-LAB-14051",
   "target": "BIZ-LAB-017",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14051 links: made_by → Prima Mente (BIZ-LAB-017)"
  },
  {
   "source": "BIZ-LAB-14053",
   "target": "BIZ-LAB-011",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14053 links: made_by → CuspAI (BIZ-LAB-011)"
  },
  {
   "source": "BIZ-LAB-14054",
   "target": "BIZ-LAB-020",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14054 links: made_by → Haiper (BIZ-LAB-020)"
  },
  {
   "source": "BIZ-LAB-14055",
   "target": "BIZ-LAB-020",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14055 links: made_by → Haiper (BIZ-LAB-020)"
  },
  {
   "source": "BIZ-LAB-14056",
   "target": "BIZ-LAB-020",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14056 links: made_by → Haiper (BIZ-LAB-020)"
  },
  {
   "source": "BIZ-LAB-14059",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14059 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14060",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14060 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14061",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14061 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14062",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14062 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14063",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14063 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14064",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14064 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14065",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14065 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14066",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14066 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14067",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14067 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14068",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14068 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14069",
   "target": "BIZ-LAB-2004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14069 links: made_by → Odyssey (BIZ-LAB-2004)"
  },
  {
   "source": "BIZ-LAB-14072",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14072 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-14073",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14073 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-14074",
   "target": "BIZ-LAB-004",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14074 links: made_by → Synthesia (BIZ-LAB-004)"
  },
  {
   "source": "BIZ-LAB-14075",
   "target": "BIZ-LAB-007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14075 links: made_by → PolyAI (BIZ-LAB-007)"
  },
  {
   "source": "BIZ-LAB-14076",
   "target": "BIZ-LAB-007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14076 links: made_by → PolyAI (BIZ-LAB-007)"
  },
  {
   "source": "BIZ-LAB-14077",
   "target": "BIZ-LAB-007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14077 links: made_by → PolyAI (BIZ-LAB-007)"
  },
  {
   "source": "BIZ-LAB-14078",
   "target": "BIZ-LAB-007",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14078 links: made_by → PolyAI (BIZ-LAB-007)"
  },
  {
   "source": "BIZ-LAB-14080",
   "target": "BIZ-LAB-2013",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14080 links: made_by → Microsoft Research Cambridge (BIZ-LAB-2013)"
  },
  {
   "source": "BIZ-LAB-14081",
   "target": "BIZ-LAB-2013",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14081 links: made_by → Microsoft Research Cambridge (BIZ-LAB-2013)"
  },
  {
   "source": "BIZ-LAB-14083",
   "target": "BIZ-LAB-023",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14083 links: made_by → Mantic (BIZ-LAB-023)"
  },
  {
   "source": "BIZ-LAB-14084",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14084 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14085",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14085 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14086",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14086 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14087",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14087 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-14088",
   "target": "BIZ-LAB-001",
   "kind": "made_by",
   "evidence": "BIZ-LAB-14088 links: made_by → Google DeepMind (BIZ-LAB-001)"
  },
  {
   "source": "BIZ-LAB-12021",
   "target": "BIZ-LAB-14053",
   "kind": "part_of",
   "evidence": "BIZ-LAB-12021 links: part_of → AI Materials Foundry (CuspAI)"
  }
 ],
 "placement_method": {
  "by_sub_page_or_type": 439
 }
}