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AI FOR SCIENCE · ON THE RECORD

Multiply Labs

Autonomous labsSan FranciscoFounded 2016Website ↗

Builds 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.

Research on the record

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

Also on the timeline

People

Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.

Funding rounds tracked

Disclosed funding$75M
Latest round$75MSeries B · reported · 2026-10-06
  • 2026-10-06Series B · $75MreportedLed by NantWorks · With AstraZeneca, Lingotto, Teradyne, Strange Ventures · Existing investors Casdin Capital, Lux Capital, Fifty Years, Ora Global, Founders FundStated use: expanding manufacturing capacity, speeding up product development and growing its engineering, regulatory and commercial teams

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.
  • 2026-09-21Woshi 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.
  • 2026-08-26TransfyrSeed · $25MPuts sensors and multimodal models into labs to record how scientists actually carry out an experiment (their actions, the environment, instrument readings) and turns that record into data for troubleshooting, tech transfer, training and robot instructions. It runs an in-house wet lab that generates its own training data.

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.