AI FOR SCIENCE · ON THE RECORD

Lila Sciences

Autonomous labsCambridge, MassachusettsFounded 2023Website ↗

Turns multi-domain automated laboratories into training environments where physical experiments produce verifiable scientific tokens.

Full funding record →On the timeline →People filter →

Research on the record

2026-09-24Lila Sciences' AI-guided lab finds an iridium-free catalyst for green hydrogen, stable for 1,000+ hoursLevel 4 · Tested in the physical world
2026-08-28Lila says its platform designed an in vivo CAR-T mRNA that beat a benchmark in monkeys; its conference abstract and its blog give different figuresLevel 4 · Tested in the physical world

Graded by how far the evidence went, not how good the result is. See the methodology.

Read on AI4S.fyi

2026-09-30Lila's operations president: science output will be measured like a factory's, by floor area, and materials will be the public's first signInterviewChris Fussell · Accelerate Science Now, episode 6
2026-09-17Lila's CTO: only about 5% of science is cheap to verify, so build a big verifierInterviewAndrew Beam · Ray Summit 2026 (Anyscale)
2026-09-17Lila's AI platform: make the supported path so easy nobody wants anotherInterviewTyler Titsworth · Priunsh Syen · Ray Summit 2026 (Anyscale)
2026-07-16Lila: making the lab the verifier for reinforcement learningInterviewAndrew Beam · Rafael Gómez-Bombarelli · Latent Space
2026-09-10What’s a Science Startup Doing with an Open-Endedness Team?CommentaryMatthew Hutson · Lila Sciences

Direction analysis

AI4S.fyi's own reading of the public record, last checked 2026-10-07.

The claim

Physical experiments can become a continuous data source and RL verifier for scientific models, creating an experimental-data scaling law across domains.

Lila's core bet is not lab automation itself, but physical experimentation as training infrastructure that continuously supplies new data and reward signals.

Read the full analysis →

Also on the timeline

2026-06-03Lila Sciences is in talks to raise about $2 billion at an $8.5 billion pre-money valuation, Bloomberg reportsCapital
2025-10-10Lila Sciences raises a $350 million Series ACapital
2025-03-10Lila Sciences emerges with $200 million for AI science factoriesCapital

Founders' research on the record

Papers and results a founder of the company authored, from the timeline's bylines. Most come from before the company existed: they are the team's track record, not results the company has reported.

2026-10-08AutoDrude fits a polarizable force field straight from DFT, and catches the lithium transport in a polymer electrolyte that charge scaling missesLevel 3 · Checked against existing evidence

Graded by how far the evidence went, not how good the result is. See the methodology.

People

The leadership the company's own team page lists, then the other people the AI4S.fyi record has named. Not the full team.

On the company's team page

As the company's own team page lists them, read 2026-10-07: founders, C-level officers, presidents, SVPs and board. Vice presidents and staff are not taken from it. www.lila.ai ↗

15 more people

Named on AI4S.fyi

Previously there

Pengfei TianFounding member2026-10-15 Google DeepMind shows its Antigravity agent hunting antimicrobial peptides, and reaches one candidate now in wet-lab testing with no results yet

Named backers

Funding rounds tracked

Disclosed funding$550M

Latest round$115MSeries A extension · confirmed · 2025-10-10

2026-06-03Series B · about $2 billionin talksAnchored by CalPERS, NVentures (NVIDIA)
2025-10-10Series A extension · $115MconfirmedWith NVentures (NVIDIA), Analog Devices, IQT, Dauntless Ventures, Catalio Capital Management, Pennant Investors, Abundance Membership investorsStated use: build more AI Science Factories and open the platform to customers
2025-09-15Series A · $235MconfirmedLed by Braidwell, Collective Global · With General Catalyst, Flagship Pioneering, March Capital, ARK Venture Fund, Alumni Ventures, State of Michigan Retirement System, Altitude Life Science Ventures, Common Metal, Dara Holdings, Mathers Foundation, Modi Ventures, NGS Super, ADIA (subsidiary)Stated use: scale AI Science Factories
2025-03-10Seed · $200MconfirmedWith Flagship Pioneering, General Catalyst, March Capital, ARK Venture Fund, Altitude Life Science Ventures, State of Michigan Retirement System, ADIA (subsidiary), Blue Horizon Advisors, Modi VenturesStated use: develop the platform and build the first AI Science Factories

Each round links to its line on the funding record, with its source.

Also in Autonomous labs on the funding board

The other companies the funding board files under the same field, latest round first. A list of what the record tracks, not a ranking or a market map.

2026-10-22Warp SciencesRound (unnamed) · $215MA US chemistry contract research organisation that makes the molecules drug-discovery teams order, starting with variations of a lead compound for lead optimisation. Chemists guide the work while the company automates more of it with AI and robotics and trains models on the data its experiments produce. It says it has no drug pipeline of its own.
2026-10-06Multiply LabsSeries B · $75MBuilds robotic clusters that run the manual steps of making cell and gene therapies and other biologics, working with the drugmaker's existing equipment; the drugmakers own and operate the robots.
2026-09-21Woshi TechnologyRound (unnamed) · over 100M yuan across several rounds in the past yearA structured chemistry database, AI models for synthesis planning and robotic labs from milligram to kilogram scale, used by chemicals, battery and pharma companies.
2026-09-16ChemifySeries B extension · Series B extended to £51.9M ($70M) in totalTurns molecule designs into code that robots run (Chemputation) in automated 'Chemifarm' labs, making small molecules for drug and materials partners.
2026-09-16Deep MaterialA+ · nearly 100M yuanDesigns metal alloys with its own models and an automated high-throughput lab, then supplies the materials to 3C, aerospace and fusion customers.
2026-09-02RhinovatePre-A · several hundred million yuanPairs an AI-scientist agent with robotic labs and pilot scale-up to develop polymers, carbon-fibre composites and battery electrolytes, incubated at Peking University's Shenzhen campus.

All 14 in this field →

This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.