AI FOR SCIENCE · ON THE RECORD
Accipiter Bio
Designs proteins from scratch, with its own computational methods and high-throughput experiments, that combine several mechanisms in one stable molecule, including agonists that activate several pathways on the same cell; its pipeline is in immunology and oncology.
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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.
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Funding rounds tracked
- 2025-11-06Seed · $12.7MconfirmedLed by Takeda, Flying Fish · With Columbus Venture Partners, Cercano Capital, Washington Research Foundation, Alexandria Investments, Pack Ventures, Argonautic VenturesStated use: build its immunology and oncology pipeline, further enhance its computational platform and advance up to two programmes to pre-IND
Each round links to its line on the funding record, with its source.
Also in Protein design 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.
- 2026-10-28BioGeometrySeries A+ · not disclosed; the A series to date tops $100MBuilds generative models for biology: GeoFlow, an all-atom model that predicts the structures of proteins and their complexes and designs binders, and GeoCell, a virtual-cell model of how cells' gene expression responds to genetic and drug perturbations. An automated lab expresses and tests the designs and feeds the data back. It designs antibodies, vaccines, peptides and enzymes for partners and its own pipeline, including synthetic-biology products.
- 2026-09-24BigHat BiosciencesSeries C · $75MDesigns antibodies with machine learning tied to a fast automated wet lab (Milliner) that makes and tests designs; its lead drug BHB810 is in the clinic.
- 2026-08-11Aureka BiotechnologiesSeries B · $100MDesigns antibodies with its own biological foundation model, AuraIDE (released in open form as OpenDDE), trained and retrained on data from its own single-cell functional screens.
- 2026-07-14Chai DiscoverySeries C · $400MBuilds AI models that predict how molecules bind and design antibodies from scratch, and licenses them to drugmakers as software.
- 2026-06-17MoleculeMindSeries A (extension) · A-series cumulative total over US$100 millionAI protein structure prediction and design (MoleculeOS, MMFold, MMDesign) sold to drugmakers and industrial-enzyme users, with a few in-house early programs.
- 2026-03-20Helixon (Earendil Labs)Round (unnamed) · $787MAI protein modelling plus high-throughput experiments to design antibodies, especially bispecifics, which it licenses to Sanofi and Genentech and develops in-house.
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.