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AI for science

10 labs · 5 models and products 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".

AI for science uses machine learning to speed up research itself: predicting molecules and materials, analysing experiments, and even planning and running experiments with robots. The government's AI for Science Strategy (November 2025) says more productive research may be "the most valuable application of AI". The nine labs on this tile apply AI to particular sciences: antibody and drug design (LabGenius, AMPLY Discovery, Kuano, Boltz), enzymes and microbes (Imperagen, Twig Bio), materials (Mater-AI, Polaron), and an AI bioinformatician agent called Sam (ScienceMachine) (per the site).

Context

  1. The AI for Science Strategy says making scientific research more productive will be AI's most valuable use. 20 November 2025 gov.uk/government/publications/ai-for-science-stincreasing the productivity of scientific research will be the most valuable application of AI
  2. UKRI's AI plans include up to £137 million under the AI for Science Strategy. 19 February 2026 gov.uk/government/news/bold-bet-on-ai-to-keep-ukup to £137 million as part of DSIT's AI for Science Strategy
  3. The strategy cites a mobile robotic chemist that ran 688 experiments over eight days. 20 November 2025 gov.uk/government/publications/ai-for-science-stbuilt a mobile robotic chemist that conducted 688 experiments over eight days
  4. The strategy links science to the £1 billion expansion of the AI Research Resource, the UK's public AI supercomputers. 20 November 2025 gov.uk/government/publications/ai-for-science-stthrough the £1 billion investment in the expansion of the AI Research Resource (AIRR)
  5. Twig Bio, on this tile, was given public AI compute in the Sovereign AI Unit's first round of backing. 16 April 2026 gov.uk/government/news/ai-firms-pioneering-drug-developing CANOPY, a foundation model for AI-driven strain design in engineering biology
  6. The 2024 Nobel Prize in Chemistry recognised AI-based protein structure prediction, shared by Demis Hassabis and John Jumper. 2024 (page undated; accessed 31 October 2026) nobelprize.org/prizes/chemistry/2024/popular-inffor protein structure prediction

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
AMPLY DiscoveryCompanies · also on Start-upsQueen's University Belfast spin-out that uses its own AI model to cut the cost of discovering new drugs.
Profile
Founded
Not stated (spun out of Queen's University Belfast; "over 10 years of research")
Founders
Ben Thomas — co-founder, CEO and Chief Architect; Dermot Tierney — co-founder; Chris Creevey — co-founder
Chief executive
Ben Thomas
Hq
Not stated (origin Belfast, Northern Ireland; HQ not stated in source); other_offices: not stated
What it does
AMPLY Discovery searches genetic sequencing data with AI to find natural defence molecules and turn them into candidate biologic drugs, then makes them for lab testing. Its programmes are at the preclinical stage. It is a spin-out of the Creevey Lab at Queen's University Belfast.
Research focus
AI plus next-generation sequencing and synthetic biology to find biologic drugs; "Evolution has spent billions of years perfecting natural defence mechanisms".
Models and products
AMPLYfolioAI — drug discovery platform — named May 2025
Rounds found
Sep 2022 — £900,000 (already DEAL-LB-036); Feb 2024 — Innovate UK £1.4m (already DEAL-LAB-2014); 1 May 2025 — seed — $1.75m — Twin Path Ventures — Venture Science, Co-Fund NI, British Business Bank, QUBIS (already DEAL-LAB-2013)
Status now
Not stated (no source after May 2025 opened)

Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source.

Sources

  1. tech.eu/2025/05/01/queens-university-spin-off-am
Key facts and news (3)
Founders
Ben Thomas — co-founder and CEO; Dermot Tierney — co-founder and COO; Queen's University Belfast spin-out, 2021 one source uktech.news/medtech/amply-ai-drug-grant-20240212
What it does
Proprietary AI model for drug discovery against antibiotic-resistant infections; calls itself "ChatGPT for molecule discovery" one source uktech.news/medtech/amply-ai-drug-grant-20240212
UK government links
Innovate UK grants: £835,000 (RNAi cancer therapies, with Innosuisse) and £602,000 (inhaled antimicrobials) (2024-02-12) one source uktech.news/medtech/amply-ai-drug-grant-20240212

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

Belfast (BT7 1NF)Companies House · uktech.news/medtech/amply-ai-drug-grant-20240212 · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · tech.eu/2025/05/01/queens-university-spin-off-amverified
BoltzCompaniesBuilds biomolecular models and AI agents that predict molecular structures and help design medicines; founded by MIT researchers.
Profile
Legal name
Boltz PBC (public benefit corporation; "Boltz, PBC" in releases)
Founded
null (founded by MIT researchers)
Founders
Gabriele Corso — co-founder and CEO (other founders not named on fetched pages)
Chief executive
Gabriele Corso — from null
Hq
Cambridge, Massachusetts (dateline of company releases) (Outside the UK); other_offices: London (described as "London-based" by NVIDIA, 13 October 2026; no London office on company pages)
Headcount
null (launch post names 12 team members, January 2026)
What it does
A public-benefit company building open-source and commercial AI models that predict and design proteins and small molecules for drug discovery and other chemistry. Its open models (Boltz-1, Boltz-2, BoltzGen) are widely used, and it sells Boltz Lab and an API to drug companies.
Research focus
biomolecular structure prediction; binding affinity; protein and small-molecule design; AI agents for scientists
Models and products
Boltz-1 — open biomolecular interaction model — 16 November 2024; Boltz-2 — binding affinity prediction — 6 June 2025; BoltzGen — universal binder design — 26 October 2025; Boltz Lab — platform (preview/beta) — 8 January 2026; BoltzMol-1, BoltzProt-1 and Boltz API — 16 June 2026; Claude Science integration — 30 June 2026
Customers or partners named
Pfizer — multi-year strategic collaboration; Pfizer keeps ownership of compounds — 8 January 2026 — https://boltz.com/pfizer-partnership; Takeda — collaboration to deploy models — 18 June 2026 — https://boltz.com/news; GSK — collaboration to deploy models — 2 July 2026 — https://boltz.com/news; dsm-firmenich — partnership on AI for ingredient discovery — 14 September 2026 — https://boltz.com/news; Bristol Myers Squibb — agreement to deploy models and co-develop custom models — 21 October 2026 — https://boltz.com/bms-partnership
Papers and awards
technical posts on Boltz-1 (2024), Boltz-2 (2025), BoltzGen (2025); open models "used by over a hundred thousand scientists" (January 2026)
Funding total as published
28,000,000 USD (seed) — as of 8 January 2026 — https://boltz.com/launch; NVIDIA planned investment October 2026, amount not disclosed
Rounds found
2026-01-08 — seed — 28,000,000 USD — lead not stated — Zetta, Amplify, a16z, Factorial Capital, Obvious Ventures, angels including Clement Delangue (NEW: DEAL-LAB-9005); 2026-10-13 — strategic investment (planned) — undisclosed — NVIDIA (already DEAL-LAB-2001)
Status now
Active; signed a Bristol Myers Squibb agreement on 21 October 2026; NVIDIA announced a planned investment on 13 October 2026.
Legal name (Labs Round 8)
Not stated (Boltz is a public-benefit corporation, "Boltz PBC")
Founded (Labs Round 8)
Not stated (team began as AI researchers at MIT; company announced 8 Jan 2026)
Founders (Labs Round 8)
Gabriele Corso — co-founder and CEO; Jeremy Wohlwend — co-founder; Saro Passaro — co-founder
Chief executive (Labs Round 8)
Gabriele Corso
Other leaders
Not stated (launch page lists team members Francesco Capponi, Demitri Nava, Hannes Stark, Noah Getz, Talip Ucar, Luca Cavalleri, Simone Primarosa, Geoffrey Smith, Luis Sanmiguel by name only)
Hq (Labs Round 8)
Not stated (all releases datelined Cambridge, MA — Outside the UK); other_offices: UK office not confirmed in any page opened
Headcount (Labs Round 8)
Not stated (12 team members named on 8 Jan 2026 launch page)
What it does (Labs Round 8)
Boltz builds open and commercial AI models that predict how biological molecules fit together and design new drug molecules and binders. It sells them through Boltz Lab and an API to drug companies including Pfizer, Takeda, GSK and Bristol Myers Squibb.
Research focus (Labs Round 8)
"Boltz is a frontier research lab building generative models for biology and chemistry."
Models and products (Labs Round 8)
Boltz-1 — open biomolecular interaction model — 16 Nov 2024; Boltz-2 — binding-affinity prediction model — 6 Jun 2025; BoltzGen — universal binder design — 26 Oct 2025; Boltz Lab — design platform — 8 Jan 2026; BoltzMol-1 — small-molecule hit discovery pipeline — 16 Jun 2026; BoltzProt-1 with Boltz-PPI — protein design pipeline — 16 Jun 2026; Boltz API — 16 Jun 2026
Customers or partners named (Labs Round 8)
Pfizer — strategic collaboration — 8 Jan 2026 — https://boltz.com/news; Takeda — collaboration — 18 Jun 2026 — https://boltz.com/news; GSK — collaboration incl. fine-tuned exclusive models — 2 Jul 2026 — https://boltz.com/gsk-partnership; dsm-firmenich — ingredient discovery — 14 Sep 2026 — https://boltz.com/news; Bristol Myers Squibb — deployment on BMS NVIDIA DGX SuperPOD and co-developed models — 21 Oct 2026 — https://boltz.com/bms-partnership; launch partners for API incl. Benchling, Amazon Bio Discovery, Rowan, Tamarind — 16 Jun 2026 — https://boltz.com/boltzmol-boltzprot-api
Selected papers
Introducing Boltz-1 — boltz.com — 16 Nov 2024 — https://boltz.com/boltz1; Introducing Boltz-2 — boltz.com — 6 Jun 2025 — https://boltz.com/boltz2; Introducing BoltzGen — boltz.com — 26 Oct 2025 — https://boltz.com/boltzgen
Funding total as published (Labs Round 8)
$28m seed — as of 8 Jan 2026 — https://boltz.com/launch
Rounds found (Labs Round 8)
8 Jan 2026 — seed — $28m — Amplify, a16z, Zetta (per page metadata) — Clement Delangue, Factorial Capital, Obvious Ventures (already DEAL-LAB-9005); 13 Oct 2026 — NVIDIA (already DEAL-LAB-2001; not seen this round)
Status now (Labs Round 8)
Trading; signed a deal with Bristol Myers Squibb on 21 October 2026, its fifth named pharma or industry partner in 2026.

Labs Round 7 and Labs Round 8 deep profile (30–31 Oct 2026), as the researchers wrote it; confidence: one source (company only); UK base unconfirmed.

Sources

  1. boltz.com/launch
  2. boltz.com/bms-partnership
  3. boltz.com/pfizer-partnership
  4. boltz.com/news
  5. boltz.com/
  6. blogs.nvidia.com/blog/uk-ecosystem-deployment/
  7. techfundingnews.com/nvidia-pledges-250m-of-compu
  8. boltz.com/platform
  9. boltz.com/manifesto
  10. boltz.com/boltzmol-boltzprot-api
Models and products (4)

Version chainsBoltz-1 → Boltz-2 → BoltzGen

  1. Boltz-2 (Boltz) 2026-06-16 released (open source)Open model that predicts both protein structure and how strongly a drug molecule binds.
  2. BoltzMol-1, BoltzProt-1 and the Boltz API (Boltz) 2026-06-16 liveBoltz's small-molecule and protein design pipelines, sold through a pay-per-prediction API.
  3. BoltzGen (Boltz) 2025-10-26 released (MIT licence)Open generative model that designs new proteins and peptides to stick to chosen disease targets.
  4. Boltz-1 (Boltz) 2024-11-16 released (MIT licence)Open-source model that predicts the 3D shape of proteins and the molecules that bind to them.
Key facts and news (3)
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 boltz.com/boltzmol-boltzprot-api
What it does
Builds open AI models for biomolecular discovery; describes itself as "Foundational AI for Biology and Chemistry" phylo.bio/blog/boltz-partnership
Offices
No UK office stated on pages opened; London launch event 2026-07-02 one source boltz.com/boltzmol-boltzprot-api

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

Londonblogs.nvidia.com/blog/uk-ecosystem-deployment/ · tech.eu/2026/10/15/nvidia-bets-on-five-uk-startu · boltz.com/launch · boltz.com/bms-partnershipverified
Boltz-1 (Boltz)Chips, models and productsOpen-source model that predicts the 3D shape of proteins and the molecules that bind to them. released (MIT licence)Key facts Released 2024-11-16; code, weights and training data under MIT licence; authors Jeremy Wohlwend, Gabriele Corso, Saro Passaro; supported by MIT Jameel ClinicMade by Boltz · 2024-11-16Versions Boltz-1 → Boltz-2 → BoltzGenLondon (via Boltz)boltz.com/boltz1one source
Boltz-2 (Boltz)Chips, models and productsOpen model that predicts both protein structure and how strongly a drug molecule binds. released (open source)Key facts Described by Tamarind as from MIT and Recursion; claims FEP-level accuracy at ~1,000x speed; served through the Boltz API from 2026-06-16; release date not given on the pages openedMade by Boltz · 2026-06-16Versions Boltz-1 → Boltz-2 → BoltzGenLondon (via Boltz)tamarind.bio/blog/boltz2-state-of-the-art-struct · phylo.bio/blog/boltz-partnershipone source
BoltzGen (Boltz)Chips, models and productsOpen generative model that designs new proteins and peptides to stick to chosen disease targets. released (MIT licence)Key facts Released 2025-10-26; MIT licence; nanomolar nanobody binders for 6 of 9 novel targetsMade by Boltz · 2025-10-26Versions Boltz-1 → Boltz-2 → BoltzGenLondon (via Boltz)boltz.com/boltzgenone source
BoltzMol-1, BoltzProt-1 and the Boltz API (Boltz)Chips, models and productsBoltz's small-molecule and protein design pipelines, sold through a pay-per-prediction API. liveKey facts Announced 2026-06-16; BoltzMol-1 confirmed hits on 6 of 10 targets in lab tests; API priced "from as little as $0.025 a prediction"; launch partners include Benchling, Phylo, Amazon Bio Discovery, Rowan, Tamarind, Kiin BioMade by Boltz · 2026-06-16London (via Boltz)boltz.com/boltzmol-boltzprot-api · phylo.bio/blog/boltz-partnershiplab's own pages
ChemifyCompanies · also on Start-upsDesigns new molecules with AI and makes them with robotic chemistry machines.Why it is here: Glasgow "chemputation" company combining AI, robotics and automated synthesis to design and make molecules
Key facts and news (3)
Chief executive
Lee Cronin — founder and chief executive (2023-08-02) one source uktech.news/medtech/chemify-raises-33-6m-2023080

News

  • 9 April 2026 "Chemify Founder Publishes Three Papers Validating Chemputation To Reimagine New Chemical Discovery and Development" (Business Wire) one source chemify.io/news-and-articles
  • 20 June 2025 "Chemify Launches the World’s First Chemputation Facility Revolutionizing Molecular Design and Manufacture" one source chemify.io/news-and-articles

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

Oakbank Industrial Estate, off Garscube Road, Glasgow (postcode not on page opened )Companies House · gla.ac.uk/news/archiveofnews/2025/june/headline_ · gla.ac.uk/news/archiveofnews/2023/august/headlin · uktech.news/medtech/chemify-raises-33-6m-2023080 · find-and-update.company-information.service.gov.verified
EVA drug discovery platform (LabGenius)Chips, models and productsLabGenius' machine-learning platform that designs antibody experiments, runs them and learns from the results. liveKey facts Developed since the company's 2012 foundingMade by LabGenius · 2024-05-21London (via LabGenius)uktech.news/medtech/labgenius-drug-discovery-serone source
ImperagenCompanies · also on Start-upsManchester company using AI to engineer enzymes for industrial use.
Profile
Founded
2021 (by researchers from the Manchester Institute of Biotechnology)
Founders
Not stated (not named in sources opened)
Chief executive
Guy Levy-Yurista — joined with the May 2026 seed round
Hq
Manchester (England: North West); other_offices: not stated
What it does
Imperagen engineers enzymes (natural catalysts) for pharma, personal care, fine chemicals and industrial biotech. Quantum-physics simulations train custom AI models; robots test the best predictions in the lab and the results feed back into the models.
Research focus
Closed-loop enzyme engineering combining "quantum simulation, custom AI models, and robotic laboratory automation".
Models and products
closed-loop enzyme engineering platform (unnamed) — reports enzyme productivity gains of 677x and 572x in five rounds — May 2026
Customers or partners named
unnamed Fortune 500 personal-care company — enzyme project for a new product line — May 2026 — https://tech.eu/2026/05/21/imperagen-raises-ps5m-seed-round-to-accelerate-ai-driven-enzyme-engineering/
Rounds found
21 May 2026 — seed — £5m — PXN Ventures — IQ Capital, Northern Gritstone (already DEAL-LAB-2020 / DEAL-LC-093)
Status now
Trading; closed a £5m seed round in May 2026 under new CEO Guy Levy-Yurista.

Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source (two trade sources, no primary).

Sources

  1. uktech.news/biotech/imperagen-raises-5m-to-accel
  2. tech.eu/2026/05/21/imperagen-raises-ps5m-seed-ro
  3. uktech.news/funding/uk-tech-funding-roundup-this
Key facts and news (3)
Founded
2021, by researchers from the Manchester Institute of Biotechnology one source uktech.news/biotech/imperagen-raises-5m-to-accel
What it does
Closed loop: quantum-physics simulation of millions of mutations trains problem-specific AI models; robots test top predictions; results fed back one source uktech.news/biotech/imperagen-raises-5m-to-accel
Chief executive
Guy Levy-Yurista — CEO one source uktech.news/biotech/imperagen-raises-5m-to-accel

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

Manchester (M15 6SE)Companies House · tech.eu/2026/05/25/european-tech-weekly-recap-ov · find-and-update.company-information.service.gov. · tech.eu/2026/05/21/imperagen-raises-ps5m-seed-ro · uktech.news/biotech/imperagen-raises-5m-to-accelverified
KuanoCompanies · also on Start-upsCambridge start-up combining AI and quantum simulation of enzymes to design drugs.
Profile
Legal name
Kuano Ltd (site footer)
Founded
2020
Founders
Vid Stojevic — CEO and co-founder; David Wright — CTO and co-founder; Parminder Ruprah — Head of Chemistry and co-founder; Jarryl D'Oyley — Project Manager and co-founder
Chief executive
Vid Stojevic
Chief scientist or research lead
David Wright — CTO
Other leaders
Antonio Benedetti — Executive Chairman (from 13 Jul 2022); Georg Schusteritsch — Senior Quantum Scientist; Will Gerrard — Platform Development Team Lead; Andy Mulvaney — non-executive director (from 24 May 2021); Ted Witek — board member (from 20 Feb 2024); Sunil Shah — non-executive director
Hq
Hauxton, Cambridge (England: East of England), Mill SciTech Park; other_offices: not stated
What it does
Kuano designs drug candidates for enzyme targets by combining quantum-chemistry simulation with AI design. Its platform runs automated quantum and molecular simulations, then uses AI to propose and optimise molecules, from finding hits to optimising leads.
Research focus
Quantum chemistry, molecular simulation and molecular design; transition-state drug design for enzyme targets.
Models and products
Quantum Lens — simulation and modelling platform — not stated; Kuano design engine — AI plus physics-based molecular design — not stated; agent-supported platform — demonstrated in Singapore — 1 Sep 2026
Customers or partners named
CROZ — engineering partner — not stated — https://www.kuano.ai/about/; University of Bristol (Mulholland group) — IRAP research collaboration — 13 Jun 2025 — https://www.kuano.ai/news; Alzheimer's Research UK UCL Drug Discovery Institute — research collaboration — 24 Jun 2021 — https://www.kuano.ai/news/older/; UCL and NQCC — Innovate UK quantum computing feasibility study 2023–25 — https://www.kuano.ai/case-studies
Selected papers
Molecular insight into IRAP activity and inhibition — Journal of Chemical Information and Modeling — 2025 — https://doi.org/10.1021/acs.jcim.5c00869; What is the future role of quantum computation in drug discovery? — Emerging Topics in Life Sciences — 2025 — https://pmc.ncbi.nlm.nih.gov/articles/PMC12599230/; Parallel quantum simulation of large systems on small NISQ computers — npj Quantum Information — 2021 — https://arxiv.org/abs/2003.12087
Funding total as published
£2.8m — as of 12 Sep 2023 — 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
Rounds found
25 Feb 2021 — pre-seed — amount not stated — o2h human health EIS Fund (lead of consortium) — not stated (new DEAL-LAB-16021); Jul–Aug 2021 — seed — £1m — ACF Investors, o2h Ventures and angels (already DEAL-LAB-4015); 12 Sep 2023 — seed — £1.8m — Mercia Ventures — ACF Investors, Ascension Ventures, o2h Ventures, Meltwind Advisory, angels (already DEAL-LAB-2015 / DEAL-SU-HLT-051)
Awards and programmes
Innovate UK grant — 25 Jun 2020; Creative Destruction Lab Quantum stream graduate — 1 Jul 2021; Innovate UK £540,000 cancer-drug project — 9 Jan 2023; Cofinitive #21toWatch 2024 — 13 Mar 2024
Status now
Trading; showed an agent-supported platform in Singapore and attended Life Sciences Week in September 2026.

Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source.

Sources

  1. kuano.ai/news/we-are-delighted-to-announce-the-c
  2. kuano.ai/news/older/
  3. kuano.ai/about/
Selected papers (1)
  1. Decoding IRAP Selectivity: Quantum Simulations Reveal Mechanism Behind Enzyme Inhibition Kuano news · 13 June 2025one source Where it is listed
Key facts and news (5)
UK government links
Innovate UK grants: 2020-06-25 and 2023-01-09 ("design a new generation of cancer drugs") one source kuano.ai/news/older/
Chief executive
Vid Stojevic — CEO (as of 2023-12-15) one source kuano.ai/news/older/

News

  • 1 September 2026 "Kuano demonstrates its agent-supported platform in Singapore" one source kuano.ai/news/
  • 15 May 2026 "From discussion to demonstration: agentic AI in drug discovery" (Kuano-hosted event) one source kuano.ai/news/
  • 30 August 2024 "Kuano makes significant strides towards novel bowel cancer therapy" one source kuano.ai/news/older/

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

CambridgeCompanies House · uktech.news/medtech/kuano-seed-20230913 · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · tech.eu/2023/09/12/kuano-raises1-8m-for-drug-disverified
LabGeniusCompanies · also on Start-upsLondon company that uses machine learning and robotic experiments to design antibody drugs.
Profile
Founders
Not stated (founders not named in sources opened)
Chief executive
James Field — from at least Nov 2017
Other leaders
Irina Haivas (Atomico) — board member from Oct 2020
Hq
London (England: London); other_offices: not stated
What it does
LabGenius discovers antibody drugs using EVA, a robotic lab platform guided by machine learning that designs its own experiments, runs them and learns from the results. It focuses on multispecific antibodies that hit diseased cells while sparing healthy cells with the same markers.
Research focus
Machine-learning-driven antibody engineering; multi-objective Bayesian optimisation; on-target, off-tumour toxicity.
Models and products
EVA — robotic, machine-learning-driven discovery platform — named 2017; wholly-owned multispecific antibody pipeline — not stated
Funding total as published
£58m — as of 22 May 2024 — https://tech.eu/2024/05/22/labgenius-secures-ps35m-series-b-funding-for-therapeutic-antibody-discovery/
Rounds found
24 Nov 2017 — seed — $3.66m — Kindred Capital and Acequia Capital — Berggruen Holdings, Backed VC, Beast Ventures, System.One, Charlie Songhurst, Tom McInerney (new DEAL-LAB-16001); Oct 2019 — Series A first close — $10m (already DEAL-LA-035); 29 Oct 2020 — Series A extension — $15m (round total $25m) — Atomico — Lux Capital, Obvious Ventures, Kindred Capital, Inovia Capital (new DEAL-LAB-16002); 22 May 2024 — Series B — £35m — M Ventures — Octopus Ventures, LG Corp; existing Atomico, Kindred, Lux, Obvious (already DEAL-LAB-2019 / DEAL-SU-HLT-037)
Status now
Not stated (no source from the last 12 months could be opened; labgenius.com blocks automated reading)

Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source (trade only).

Sources

  1. tech.eu/2024/05/22/labgenius-secures-ps35m-serie
  2. tech.eu/2020/10/29/labgenius-series-a/
  3. tech.eu/2017/11/24/labgenius-funding/
Models and products (1)
  1. EVA drug discovery platform (LabGenius) 2024-05-21 liveLabGenius' machine-learning platform that designs antibody experiments, runs them and learns from the results.
Key facts and news (3)
Founded
2012; London one source uktech.news/medtech/labgenius-drug-discovery-ser
Funding as published (reported)
£58m (2024-05-21) one source uktech.news/medtech/labgenius-drug-discovery-ser
Chief executive
James Field — CEO (2024-05-21) one source uktech.news/medtech/labgenius-drug-discovery-ser

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

LondonCompanies House · uktech.news/medtech/labgenius-drug-discovery-ser · find-and-update.company-information.service.gov. · tech.eu/2024/05/22/labgenius-secures-ps35m-serie · tech.eu/2020/10/29/labgenius-series-a/verified
Mater-AICompaniesUses AI with physics-based modelling to discover thermoelectric materials that turn waste heat into electricity.
Profile
Rounds found
null (deal file already has DEAL-LAB-2012, £1.5m led by Twin Path Ventures, 2025-12-03; not re-checked)
Founded
Not stated (builds on CEO's research at the University of Warwick)
Founders
Not stated (founder roles not stated; leaders below)
Chief executive
Nickel Blankevoort
Chief scientist or research lead
Chelsea Williams — CTO; Jack Broad — founding AI scientist
Other leaders
Gatleen Bhambra — COO; Edward Grant — AI adviser
Hq
Not stated (UK; city not stated); other_offices: not stated
Headcount
Not stated (a team of four built the discovery engine)
What it does
Mater-AI uses AI and physics modelling to discover thermoelectric materials, which turn waste heat into electricity or give cooling without refrigerants. It targets defence, automotive and industrial sensors, and plans lab testing with Cambridge, Imperial and the Henry Royce Institute.
Research focus
AI-led discovery of thermoelectric materials; claims up to 438x faster than traditional R&D and 100 structures generated and evaluated per hour.
Models and products
modular materials discovery engine (unnamed) — Dec 2025
Customers or partners named
University of Cambridge, Imperial College London, Henry Royce Institute — planned lab testing — 3 Dec 2025 — https://tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tackle-one-of-energys-oldest-problems-wasted-heat/; Conception X — accelerator and investor — 3 Dec 2025 — same url; Barclays Product Builder Accelerator — programme — same url
Rounds found (Labs Round 8)
earlier — £100k — Conception X venture partner — not stated; 3 Dec 2025 — pre-seed — £1.5m — Twin Path Ventures — Mishcon de Reya, One Planet Capital, XTX Ventures, Conception X Angel Syndicate, Koro Capital, Tailored Solutions (already DEAL-LAB-2012)
Awards and programmes
Conception X; Barclays Product Builder Accelerator
Status now
Trading; raised a £1.5m pre-seed round in December 2025.

Labs Round 7 and Labs Round 8 deep profile (30–31 Oct 2026), as the researchers wrote it; confidence: one source.

Sources

  1. tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tac
tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tac · tech.eu/2025/12/03/mater-ai-secures-ps15m-to-tacone source
PolaronCompanies · also on Start-upsLondon start-up that trains AI on microscope images and material measurements to predict how manufactured materials will behave.
Profile
Legal name
Polaron Ltd (site footer)
Founded
Not stated (spun out of Imperial College London "after seven years of research")
Founders
Isaac Squires — CEO and co-founder; Steve Kench — CTO and co-founder; Sam Cooper — Chief Scientist and co-founder
Chief executive
Isaac Squires
Chief scientist or research lead
Sam Cooper — Chief Scientist
Other leaders
Steve Kench — CTO
Hq
London (England: London), Senna Building, Gorsuch Place, E2 8JF; other_offices: not stated
What it does
Polaron builds generative AI that reads microscope images of a material's internal structure and links how a material is made to how it performs, so manufacturers can design and qualify materials such as battery electrodes faster.
Research focus
"We are accelerating the design of advanced materials with generative AI"; microstructural image data to link process and performance.
Models and products
Polaron platform — characterisation layer and generative design layer; applications in R&D, quality and qualification, modelling and simulation — not stated
Customers or partners named
Not stated (release says engineers at manufacturers incl. EV makers have used it; none named)
Selected papers
Not stated (site cites Nature Machine Intelligence and Advanced Materials without titles)
Rounds found
3 Feb 2026 — round (stage not named) — $8m — Racine2 (fund led by Serena and Makesense) — Speedinvest, Futurepresent, angels (already DEAL-LAB-2011 / DEAL-SU-IND-042)
Awards and programmes
Manchester Prize for AI in science and engineering — £1m winner — date not stated
Status now
Trading; raised $8m in February 2026 to expand engineering and roll out generative design tools.

Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source.

Sources

  1. polaron.ai/about-us
  2. polaron.ai/newsroom/polaron-raises-8m-to-build-t
Key facts and news (4)
Founders
Isaac Squires — CEO; Steve Kench — CTO; Sam Cooper — Chief Scientist (all co-founders) polaron.ai/newsroom/polaron-raises-8m-to-build-t
Founded
Imperial College London spin-out after seven years of research; London (E2) one source polaron.ai/newsroom/polaron-raises-8m-to-build-t
What it does
Trains AI models on microscopy images and measured properties to explain and design material microstructures one source uktech.news/ai/ai-materials-startup-polaron-rais
Customers and partners
Used by EV makers responsible for over a third of world EV production (customers not named) (2026-02-03) one source polaron.ai/newsroom/polaron-raises-8m-to-build-t

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

LondonCompanies House · uktech.news/ai/ai-materials-startup-polaron-rais · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · tech.eu/2026/02/03/polaron-completes-8m-funding-verified
ScienceMachineCompanies · also on Start-upsAutonomous AI agent, "Sam", that works as a round-the-clock bioinformatician for biotech and pharma companies.
Profile
Legal name
Not stated (site footer reads "Science Machine Inc." — not confirmed)
Founders
Lorenzo Sani — CEO and co-founder; second co-founder not named
Chief executive
Lorenzo Sani
Hq
London (England: London) per tech.eu; other_offices: San Francisco (Outside the UK)
Headcount
2 — Jul 2025 — https://tech.eu/2025/07/09/sciencemachine-raises-35m-for-leading-autonomous-ai-in-biotech-research/ (single_source)
What it does
ScienceMachine sells AI agents that automate data review in bioanalytical labs: checking LC-MS chromatograms, quality-checking documents and drafting regulatory reports, mainly for contract research organisations and biopharma. In 2025 it launched "Sam", described as a 24/7 AI bioinformatician.
Research focus
Autonomous AI agents for biotech data analysis; agent benchmarks for computational biology (BixBench, BioML-bench).
Models and products
Sam — "24/7 AI bioinformatician" agent — Jul 2025; Peak Review — LC-MS chromatogram exception review — not stated; Document QC — not stated; Reporting — source-linked report drafts — not stated
Customers or partners named
Inoviv — case study, 80% less QC and reporting time (testimonial) — not stated — https://www.sciencemachine.ai/solutions/lc-ms-review; Thermo Fisher Scientific, Artelo Biosciences, Spectrus Corp — customer logos — not stated — https://www.sciencemachine.ai/; FutureHouse — co-developed BixBench benchmark — not stated — https://www.sciencemachine.ai/
Selected papers
BixBench (with FutureHouse) — venue not stated — date not stated — https://www.sciencemachine.ai/; BioML-bench — venue not stated — date not stated — https://www.sciencemachine.ai/
Rounds found
9 Jul 2025 — pre-seed — $3.5m — Revent and Nucleus Capital (co-leads) — strategic angels (already DEAL-LC-030)
Status now
Trading; sells lab-data automation to CROs and biopharma with named customer logos.

Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source.

Sources

  1. tech.eu/2025/07/09/sciencemachine-raises-35m-for
  2. sciencemachine.ai/
  3. sciencemachine.ai/solutions/lc-ms-review
London (W1T 4DG )Companies House · tech.eu/2025/07/09/sciencemachine-raises-35m-for · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · sciencemachine.ai/verified
Twig BioCompaniesBuilds CANOPY, a foundation model for designing microbial strains used in engineering biology and biomanufacturing.
Profile
Founded
2022 (Tech Funding News, trade, single)
Founders
Russ (Russell) Tucker — CEO and Founder; James Allen — co-founder; Satnam Surae — co-founder (Allen and Surae from Tech Funding News only)
Chief executive
Russ Tucker — from null
Hq
King's Cross, London (England: London); other_offices: null
Headcount
10 — 11 September 2023 — https://www.uktech.news/ai/twig-food-stealth-funding-20230911 (trade)
What it does
A London biotechnology company combining lab automation, synthetic biology and AI to design microbial strains that make sustainable ingredients such as palmitic acid, isoprene and acetone. It is building CANOPY, a foundation model for AI-driven strain design, trained on data from its own automated lab.
Research focus
engineering biology; biomanufacturing; strain design
Models and products
CANOPY — foundation model for AI-driven strain design — announced 16 April 2026
Compute
Sovereign AI / AIRR compute, one of six firms — 16 April 2026
Funding total as published
3,790,000 USD ("Total VC raised") — as of 16 April 2026 — https://techfundingnews.com/uks-sovereign-ai-fund-names-7-startups-its-supporting-in-its-first-batch-here-are-the-details/ (trade, single)
Rounds found
2023-09-11 — not stated — 3,000,000 GBP — lead not stated — Project A, Seedcamp, Zero Carbon Capital, UKI2S, Gaingels, angels via HackCapital (already DEAL-LB-098)
Uk government links
Sovereign AI / AIRR compute — 16 April 2026 (already DEAL-LAB-2035)
Status now
Active London company training CANOPY on Sovereign AI compute since April 2026.
Founded (Labs Round 8)
2022
Founders (Labs Round 8)
Russ Tucker — co-founder and CEO; James Allen — co-founder and CSO; Satnam Surae — co-founder and CTO
Chief executive (Labs Round 8)
Russ Tucker
Chief scientist or research lead
James Allen — CSO
Other leaders
Tina Brown — Director of Strategy and Operations
What it does (Labs Round 8)
twig designs microbes with AI to grow ingredients and compounds, then builds and tests the designs in an automated lab. Its aim is to replace parts of global supply chains with biology.
Research focus (Labs Round 8)
"Our mission is to revolutionise the global supply chain with frontier AI and biology."
Models and products (Labs Round 8)
bio:drive — AI models that generate microbe designs for target compounds — not stated; grow:bot — automated lab that builds and tests designs — not stated
Customers or partners named
Japanese R&D partners (unnamed) — Innovate UK Explorers award — 24 Nov 2025 — https://twig.bio/news/twig-secures-innovateuk-explorers-award/
Rounds found (Labs Round 8)
Not stated (investors listed: Project A, Seedcamp, Zero Carbon VC, UK Innovation Science Seed Fund, Gaingels, Kapital; no round amounts on pages opened)
Awards and programmes
Innovate UK Explorers award — Nov 2025; Sovereign AI / AI Research Resource compute programme — Apr 2026 (already DEAL-LAB-2035)
Status now (Labs Round 8)
Trading; received an Innovate UK Explorers award in November 2025 for work with Japanese partners.

Labs Round 7 and Labs Round 8 deep profile (30–31 Oct 2026), as the researchers wrote it; confidence: one source.

Sources

  1. gov.uk/government/news/ai-firms-pioneering-drug-
  2. uktech.news/ai/twig-food-stealth-funding-2023091
  3. techfundingnews.com/uks-sovereign-ai-fund-names-
  4. twig.bio/about/
  5. twig.bio/news/twig-secures-innovateuk-explorers-
Companies House · gov.uk/government/news/ai-firms-pioneering-drug- · sovereignai.gov.uk/post/our-first-investments · uktech.news/ai/twig-food-stealth-funding-2023091 · techfundingnews.com/uks-sovereign-ai-fund-names-one source

Tile photo: Amateur Microscopy Laboratory - Microscopes, R G from siehe oben, Bayern, CC BY 2.0 (Wikimedia Commons).