AI for science labs
These labs build models for scientific work: predicting and designing molecules and proteins, discovering materials, and running experiments in automated laboratories. The table quotes how each lab describes its work.
Labs listed17with a verified profile
Confirmed funding$6.99Bsum of confirmed rounds
Valued $1B+5by confirmed valuation
Founded2021–202611 since 2024
| What it builds | HQ | Founders | ||||
|---|---|---|---|---|---|---|
| IIsomorphic LabsCore | AI drug discovery built on AlphaFold-derived models isomorphiclabs.com Isomorphic Labs is building a future where frontier AI can help to unlock deeper scientific insights, faster breakthroughs, and life-changing medicines.checked 9 Nov 2026 | 2021 | London, GB | $2.7B | —$50B reported | Demis Hassabis |
| XXaira TherapeuticsCore | AI-driven drug discovery and development company xaira.com We’re pioneering the discovery and development of life-changing medicines through the transformative power of artificial intelligencechecked 9 Nov 2026 | 2024 | South San Francisco, CA, US | $1B | — | Marc Tessier-Lavigne, David Baker, Hetu Kamisetty |
| CChai DiscoveryCore | AI models that predict and design molecular interactions for drug discovery chaidiscovery.com We build models that can predict and reprogram the interactions between molecules, which will help create the next generation of medicine.checked 9 Nov 2026 | 2024 | San Francisco, CA, US | $630M | $3.8B | Joshua Meier, Jack Dent, Matthew McPartlon +1 |
| CCuspAICore | AI system for discovering new materials, for semiconductors, energy and climate cusp.ai CuspAI was founded in 2024 by Dr. Chad Edwards and Prof. Max Welling to build the AI system for materials discovery.checked 9 Nov 2026 | 2024 | Cambridge, GB | $580M | $2.6B | Chad Edwards, Max Welling |
| LLila SciencesCore | Builds AI models and automated laboratories for autonomous scientific research ('scientific superintelligence') lila.ai Building Scientific Superintelligence to solve humankind's greatest challengeschecked 9 Nov 2026 | 2023 | Cambridge, MA, US | $550M | $1.3B$8.5B reported | Geoffrey von Maltzahn, Molly Gibson |
| PPeriodic LabsCore | AI scientists and autonomous labs for the physical sciences (materials, superconductors) periodic.com at Periodic, we are building AI scientists and the autonomous laboratories for them to operate.checked 9 Nov 2026 | 2025 | San Francisco, CA, US | $300M | $1.3B$7.5B reported | Liam Fedus, Ekin Dogus Cubuk |
| AAnew LabsAdjacent | AI drug discovery: structure prediction, molecule and antibody design models, and its own drug programmes anewbt.com Anew Labs is an AI pharmaceutical company building AI-powered drug discovery platforms for protein structure prediction, molecule generation, antibody design and R&D decision-making.checked 15 Nov 2026 | 2026 | Shanghai, CN | $290M | —$1.5B reported | Liu Kai |
| WWarp SciencesAdjacent | U.S. chemistry contract research organization combining chemists, AI and robotics for drug discovery markets.financialcontent.com The company is building a U.S.-based chemistry contract research organization (CRO) that brings expert chemists, AI, and robotics together to make and test the molecules research teams need.checked 10 Nov 2026 | 2026 | South San Francisco, CA, US | $215M | $865M | Kevin Weil, Sol Reisberg, Mano Paluri +1 |
| ddoubleAICore | Frontier AI lab for science and engineering, building expert-level reasoning with verification doubleai.com doubleAI is a frontier AI lab focused on the hardest problems in science and engineering.checked 9 Nov 2026 | 2023 | Ramat Gan, IL | $200M | $1B | Amnon Shashua, Shai Shalev-Shwartz, Gal Beniamini +3 |
| EEvolutionaryScaleGraduated | AI research lab and public benefit company building protein language models (ESM3, ESM Cambrian) for the life sciences evolutionaryscale.ai EvolutionaryScale is a public benefit company. Our mission is to develop artificial intelligence to understand biology for the benefit of human health and societychecked 9 Nov 2026 | 2023 | New York, NY, US | $142M | — | Alexander Rives |
| BBoltzEmerging | Open biomolecular foundation models (Boltz-1/2, BoltzGen) and a platform for small-molecule and protein design | 2025 | Boston, MA, US | $125M | — | Gabriele Corso, Jeremy Wohlwend, Saro Passaro |
| IInceptiveCore | Foundation models that design sequence-based medicines (mRNA, siRNA, ASOs, peptides) inceptive.life We specialize in sequence-based medicines like mRNA, siRNA, ASOs, and peptides where sequence is instrumental to function.checked 15 Nov 2026 | 2021 | Palo Alto, CA, US | $100M | — | Jakob Uszkoreit, Rhiju Das |
| EEdison ScientificEmerging | AI scientist platform (Kosmos) for scientific R&D and drug development, commercial spinout of FutureHouse edisonscientific.com Edison is an AI scientist that autonomously reads, reasons, and experiments across disciplines.checked 10 Nov 2026 | 2025 | San Francisco, CA, US | $70M | — | Sam Rodriques, Andrew White |
| IInherentEmerging | AI-native science: Faraday agent for open-ended scientific discovery with human-AI teaming indexventures.com Index Ventures leads a $50m seed round in Inherent, a London AI lab building Faraday — a system for open-ended scientific discovery that combines human creativity with self-improving AI.checked 9 Nov 2026 | 2026 | London, GB | $50M | — | Edward Hughes, Tantum Collins, Louis Kirsch +1 |
| LLatent LabsEmerging | Builds generative AI models for designing proteins such as antibodies and enzymes latentlabs.com We are a frontier AI lab building generative models that capture the fundamentals of biology.checked 9 Nov 2026 | 2023 | London, GB | $40M | — | Simon Kohl |
| DDiscovery LoopEmerging | Builds AI systems that automate the experimental loops of science and engineering, starting with ML research discoveryloop.com Discovery Loop is building AI systems that automate the experimental loops of science and engineering.checked 9 Nov 2026 | 2026 | Palo Alto, CA, US | — | —$50B reported | Jeff Dean, Sanjay Ghemawat, Quoc Le +1 |
| PPotential SciencesEmerging | Physics-grounded training data and AI for chemistry and drug discovery potentialsciences.com We generate new training data from the laws of physics, at the accuracy of a laboratory measurement.checked 10 Nov 2026 | 2025 | London, GB | — | — | Hatem Helal |
Raised = sum of rounds with Confirmed status. Valuation = latest confirmed figure; a reported figure from talks is shown below it and is not confirmed. Sources for every figure are on each lab's page.
Latest funding rounds in this field
| Date | Round | Amount | Valuation | Lead investors | Status |
|---|---|---|---|---|---|
| 5 Nov 2026 | Potential Sciences Seed | undisclosed | — | not disclosed | Reported |
| 22 Oct 2026 | Warp Sciences Funding round | $215M | $865M | Lightspeed Venture Partners | Confirmed |
| 8 Oct 2026 | Isomorphic Labs Funding round | $5B | $50B | not disclosed | Reported |
| 7 Oct 2026 | Boltz Funding round | $97.4M | — | not disclosed | Confirmed |
| 17 Sep 2026 | Anew Labs Angel | $290M | $1.5B | HSG, IDG Capital, Hillhouse Investment, 5Y Capital | Confirmed |
| 11 Sep 2026 | Discovery Loop Funding round | undisclosed | $50B | not disclosed | Reported |
How a lab gets on this list
A lab is listed when its research focus on record is a scientific domain: biology, chemistry, drug discovery, materials, or the automation of research itself.
Every lab here also meets the rules for a neolab profile: a research-led company with named founders, a stated focus, a headquarters and a funding status, each with a public source. The tier under each name follows the methodology.
What is not here. Pharmaceutical companies and university groups that use AI are not listed: this page covers neolabs with a profile on the ledger.
Other fields
- AGI and superintelligence labs: 15 labs
- World model labs: 8 labs
- Robotics and physical AI labs: 16 labs
A lab is missing, or its description is out of date? Suggest an entry with a public source.