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Frontier AI research

3 labs · 1 model or product Theme: Companies · Generated from this page's data. Click a name to open its panel on the Labs page. Records resting on one source are tagged "one source".

Frontier AI research is work on the most capable AI systems, aimed at abilities today's models lack, such as learning from their own experience or improving themselves. Ineffable Intelligence, set up by David Silver, who led DeepMind's reinforcement-learning team, says it is building "a superlearner" that learns from experience rather than from human data. Recursive Superintelligence says it is building self-improving AI that automates the scientific method; its first public model, Flint, is a coding model. Inherent, in London, is building Faraday, an AI "scientist" agent (per the site).

Context

  1. The AI Opportunities Action Plan said the UK needs AI companies working at the frontier to act as national champions. 13 January 2025 gov.uk/government/publications/ai-opportunities-we need companies at the frontier that will be our UK national champions.
  2. The government's Sovereign AI Unit, meant to secure a UK stake in frontier AI, is backed by up to £500 million and chaired by James Wise. 29 January 2026 gov.uk/government/publications/ai-opportunities-Backed by up to £500 million, the unit will be chaired by James Wise (Balderton Capital)
  3. Ineffable Intelligence says it aims to reach superintelligence by learning from experience, not from human data. accessed 31 October 2026 ineffable.ai/Superintelligence will be achieved through learning from experience, rather than learning from human data.
  4. Ineffable Intelligence was reported to have raised $1.1 billion in seed funding at a $5.1 billion valuation, co-led by Sequoia and Lightspeed (trade; reported). 27 April 2026 tech.eu/2026/04/27/ineffable-intelligence-launchhas raised $1.1 billion in Seed funding, the largest ever in Europe, at a valuation of $5.1 billion.
  5. Recursive Superintelligence describes its goal as a self-improving system that automates the scientific method. accessed 31 October 2026 recursive.com/We're building the Eureka Machine, the self-improving superintelligence that automates the scientific method.
  6. The UK AI Security Institute had tested more than 30 of the most advanced AI models by the end of 2025. 22 December 2025 aisi.gov.uk/blog/our-2025-year-in-reviewOur technical team has now tested more than 30 of the world's most advanced models.

Labs Round 8 (31 Oct 2026): introduction and facts as the researchers wrote them; "(per the site)" marks a sentence resting on this site's own description of that lab.

RecordWhat it isPlaceLinksConfidence
Faraday (Inherent AI scientist agent)Chips, models and productsInherent's AI "scientist" agent, trained with reinforcement learning to reproduce the findings of published research papers. research releaseKey facts 27B-parameter model (Qwen 3.6 base, per TechCrunch); trained on Replica, a task set built from 100 ML and AI-for-science papers giving 310 tasks; directs OpenAI's GPT-5.5 Codex as a coding tool; company reports it beat Claude Opus 4.8 and GPT-5.5 at replication (no scores published on the page)Made by Inherent · 2026-08-14Londoninherentlabs.ai/research/training-to-replicate · techcrunch.com/2026/08/22/inherent-founded-by-delab's own pages
Ineffable IntelligenceCompaniesResearch 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.
Profile
Legal name
Ineffable Intelligence Ltd (website terms; registered office stated as Altrincham, Cheshire)
Founded
null (David Silver's note on setting up the company dated 15 Jan 2026)
Founders
David Silver — founder and CEO
Chief executive
David Silver — from null
Chief scientist or research lead
David Silver (professor at University College London; formerly led the reinforcement learning team at Google DeepMind)
Hq
London (England: London); other_offices: null
What it does
AI research lab building a "superlearner" — an AI system that learns from its own experience through reinforcement learning rather than from human data — with the stated aim of "making first contact with superintelligence".
Research focus
large-scale reinforcement learning; systems that learn continuously from experience
Models and products
null (none announced)
Customers or partners named
NVIDIA — engineering collaboration on RL infrastructure — 13 May 2026 — https://www.ineffable.ai/blog/nvidia-ineffable-intelligence-team-up-to-build-the-future-of-reinforcement-learning-infrastructure; Google Cloud — preferred cloud partner — 16 Jun 2026 — https://www.uktech.news/ai/ineffable-intelligence-and-google-cloud-partner-on-new-frontier-ai-lab-20260616
Compute
Co-designing RL training infrastructure with NVIDIA, starting on Grace Blackwell and among the first to explore Vera Rubin (13 May 2026); Google Cloud chosen as preferred cloud partner for RL infrastructure (16 Jun 2026)
Funding total as published
1,100,000,000 USD (£814m) seed — 28 Apr 2026 — (trade) UKTN
Valuation reported
null ("not disclosed" per UKTN)
Rounds found
2026-04-28 — seed — 1,100,000,000 USD (£814m) — lead not named by UKTN (site holds Sequoia and Lightspeed as co-leads, DEAL-LAB-025) — Sovereign AI Unit (co-investing with British Business Bank), British Business Bank ($20m separately), Sequoia, Lightspeed, NVIDIA, Index, Google, EQT, Evantic, Flying Fish, DST Global, BOND
Uk government links
Sovereign AI Unit co-invested with the British Business Bank in the seed round — 28 Apr 2026
Status now
Emerged from stealth in spring 2026 with a $1.1bn seed round and compute partnerships with NVIDIA and Google Cloud; no model released.

Labs Round 7 deep profile (30 Oct 2026), as the researchers wrote it; confidence: single_source (funding trade-only; company site does not state it).

Sources

  1. ineffable.ai/
  2. ineffable.ai/blog/nvidia-ineffable-intelligence-
  3. ineffable.ai/terms-and-conditions
Key facts and news (4)
Valuation (reported)
$5.1bn at seed (Apr 2026), as stated by the company one source tech.eu/2026/04/27/ineffable-intelligence-launch
Research focus
Reinforcement learning: a "superlearner" that keeps discovering knowledge and skills without relying on human data tech.eu/2026/04/27/ineffable-intelligence-launch
Research leads
Wojciech Marian Czarnecki — chief scientific officer (joined by May 2026) one source tech.eu/2026/05/01/over/
Funding 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 tech.eu/2026/04/27/ineffable-intelligence-launch

Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked.

(city not published)Companies House · tech.eu/2026/04/27/ineffable-intelligence-launch · uktech.news/ai/ineffable-intelligence-secures-81 · ineffable.ai/ · find-and-update.company-information.service.gov.verified
InherentCompaniesLondon research lab building Faraday, an AI system meant to let scientists and self-improving AI work together on research.
Profile
Legal name
null (site footer reads "© 2026 Inherent Laboratories"; the site says it is incorporated as a Public Benefit Corporation; Companies House not checked)
Founders
Tantum Collins — Co-Founder & CEO; Edward Hughes — Co-Founder & Chief Scientist; Louis Kirsch — Co-Founder; Kaloyan Aleksiev — Co-Founder & CTO
Chief executive
Tantum Collins — from null
Chief scientist or research lead
Edward Hughes — Co-Founder & Chief Scientist
Other leaders
Matt Clifford — adviser (tech.eu)
Hq
London (England: London); other_offices: null
What it does
A London AI research lab building "general-purpose inventive AI" to speed up scientific research. Its system, Faraday, is meant to let people and self-improving AI work together on hard scientific problems. It says it applies recursive self-improvement to its models and to how it runs research.
Research focus
recursive self-improvement; AI Scientist agents; open-ended research; human–machine teaming; autonomous labs
Models and products
Faraday — AI system for scientific discovery — announced May 2026; reported in August 2026 to run on Qwen 3.6 with 27 billion parameters (trade, single)
Papers and awards
"Training AI Scientists to Replicate Research" — 14 August 2026 (inherentlabs.ai/research)
Funding total as published
50,000,000 USD — as of 29 May 2026 — https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/
Rounds found
2026-05-29 — seed — 50,000,000 USD — Index Ventures and Radical Ventures (co-leads) — none named (already DEAL-LAB-027 / DEAL-LAB-2009)
Uk government links
null (tech.eu describes adviser Matt Clifford as a former government AI adviser)
Status now
Active London research lab that left stealth in May 2026 and published its first research post in August 2026.

Labs Round 7 deep profile (30 Oct 2026), as the researchers wrote it; confidence: verified (founders, roles, round: investor page plus trade); Faraday model details single_source.

Sources

  1. radical.vc/portfolio/inherent/
  2. tech.eu/2026/05/29/london-based-ai-lab-inherent-
  3. inherentlabs.ai/
  4. inherentlabs.ai/research/
  5. newsbytesapp.com/news/science/deepmind-alumni-s-
Models and products (1)
  1. Faraday (Inherent AI scientist agent) 2026-08-14 research releaseInherent's AI "scientist" agent, trained with reinforcement learning to reproduce the findings of published research papers.
Key facts and news (2)
Founders
Tantum Collins, Edward Hughes, Louis Kirsch (all formerly DeepMind; Collins also White House AI policy); Kaloyan Aleksiev (formerly Reka AI and Microsoft) tech.eu/2026/05/29/london-based-ai-lab-inherent-
Status now
Active; set up as a public benefit corporation (May 2026) one source uktech.news/ai/london-based-ai-lab-inherent-emer

Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked.

LondonCompanies House · tech.eu/2026/05/29/london-based-ai-lab-inherent- · uktech.news/ai/london-based-ai-lab-inherent-emer · inherentlabs.ai/ · find-and-update.company-information.service.gov.verified
Recursive SuperintelligenceCompaniesResearch company building AI systems that improve themselves, starting by automating AI research and the scientific method.
Profile
Founded
null (emerged from stealth 13 May 2026)
Founders
Richard Socher — leads the company "alongside seven co-founders" (former chief scientist at Salesforce, founder of You.com); Yuandong Tian — co-founder (former research scientist director, Meta FAIR); Tim Rocktäschel — co-founder (Professor of AI, UCL; former principal scientist, Google DeepMind); Alexey Dosovitskiy — co-founder; Josh Tobin — co-founder (formerly OpenAI); Caiming Xiong — co-founder; Tim Shi — co-founder; Jeff Clune — co-founder
Chief executive
Richard Socher — leads the company (title not stated in source)
Other leaders
Peter Norvig — adviser
Hq
London (England: London) per BusinessCloud; other_offices: San Francisco
Headcount
more than 25 — May 2026 — BusinessCloud and TNW (both trade)
What it does
AI research company building systems that run their own experiments to improve themselves safely — "recursive self-improvement" through open-ended automated scientific discovery.
Research focus
recursive self-improvement; automated scientific discovery
Compute
null (NVIDIA and AMD are investors)
Funding total as published
650,000,000 USD (£480m) — May 2026 — trade
Valuation reported
4,650,000,000 USD — 14 May 2026 — (trade) TNW; about £3.5bn — 14 May 2026 — (trade) BusinessCloud (two trade sources; no primary opened)
Rounds found
2026-05-13 — first round (TNW: emerged from stealth; other listings call it Series A — not verified) — 650,000,000 USD / £480m — GV, Greycroft — NVIDIA, AMD (Ventures)
Status now
Emerged from stealth in May 2026 with $650m at a reported $4.65bn valuation; offices in London and San Francisco.

Labs Round 7 deep profile (30 Oct 2026), as the researchers wrote it; confidence: single_source (two trade sources, no primary); sources are listed in the record panel.

Models and products (1)
  1. Recursive Flint 2026 (date not given on page) releasedRecursive Superintelligence's first public model: a 40-billion-parameter coding model built to run fast on local machines.
Key facts and news (5)
Valuation (reported)
$4.65bn (May 2026) one source tech.eu/2026/05/13/recursive-superintelligence-e
Headcount
Fewer than 30 (May 2026) one source tech.eu/2026/05/13/recursive-superintelligence-e
Offices
London; San Francisco one source
Research focus
AI systems that improve themselves by analysing their own performance, without human intervention one source
Funding as published
Over $650m (May 2026) led by GV and Greycroft, with Nvidia and AMD participating

Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked.

King's Cross, London (N1 9FN)Companies House · tech.eu/2026/05/13/recursive-superintelligence-e · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · recursive.com/one source

Tile photo: King's Cross Central development, Granary Square and tower cranes 02, Acabashi, CC BY-SA 4.0 (Wikimedia Commons).