LabGenius

Research on the record

• 2026-04-03LabGenius reports its machine-designed Nectin-4 x CD3 engager kills tumour cells at 0.7 pM and cuts tumour growth by over 90% in miceLevel 4 · Tested in the physical world
• 2025-12-07LabGenius' robotic loop built 980 T-cell engagers over five cycles and found ones that killed HER2-high cells at single-digit picomolar and left the low-HER2 model untouchedLevel 4 · Tested in the physical world

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

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

• 2024-05-21Series B · £35MconfirmedLed by M Ventures (Merck KGaA) · With Octopus Ventures, LG Corp, Atomico, Kindred Capital, Lux Capital, Obvious VenturesStated use: its ML discovery platform and a wholly owned pipeline of multispecific antibodies for solid tumours
• 2020-10Series A · $15MconfirmedLed by Atomico · With Lux Capital, Obvious Ventures, Kindred CapitalStated use: growing its technology platform
• 2019-10-22Series A · $10MconfirmedLed by Lux Capital, Obvious Ventures · With Felicis Ventures, Inovia Capital, Air Street Capital, Chris Gibson (Recursion), Patrick PichetteStated use: scale the team, widen the discovery platform and start an internal programme of novel antibody fragments
• 2017-11-27Seed · $3.6MreportedLed by Kindred Capital, Acequia Capital · With Berggruen Holdings, Backed VC, Beast Ventures, System.One, Charlie Songhurst, Tom McInerneyStated use: open a purpose-built R&D facility in London and keep developing EVA, its AI-driven evolution machine

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

Also in Drug discovery 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.

• 2026-10-29ALLOXSeed · US$10.5M (€9.4M)Measures the effects of thousands of protein mutations at once to map allosteric and other regulatory sites, and builds AI models on that data to find drug-binding spots on hard targets such as protein-protein interactions and transcription factors, for its own small molecules.
• 2026-10-27Atlas BioSeed · $10MRuns in silico clinical trials, starting in immunology: a foundation model trained on about 2 million RNA readouts from human tissue predicts each virtual patient's response to several treatments and diseases, to help drug developers choose what to take into Phase II.
• 2026-10-23Pathos AISeries E · $237MLicenses clinical-stage drugs from other companies and develops them itself, using an agent platform (Foundry, earlier PathOS) trained on patient records to choose assets, pick the patients most likely to respond and adjust trials as they run. Its pipeline is in cancer: prostate cancer, multiple myeloma, lung and breast cancer and TROP2/HER3-expressing solid tumours; in October 2026 it began work in Alzheimer's disease with Bristol Myers Squibb and Tempus.
• 2026-10-23Zhichong PharmaSeries A1 · tens of millions of yuanDevelops new drugs for pets with generative AI, using its own small-molecule and large-molecule design engines (ChemoFetch and OmniFetch), and argues that testing in the target animal closes the loop from design to evidence faster than human drug development can; its programmes are in anti-infectives, chronic disease and ageing.
• 2026-10-14Gaowei YiyaoPre-A · undisclosed; PEdaily says the company has raised several hundred million yuan so far this yearMines protein-interaction and other high-dimensional biology data with its own models to find drug targets others treat as undruggable, then runs its own small-molecule and antibody programmes. Its GROOVY platform found the target behind GW-01, a Notch-pathway inhibitor now in Phase I; ACUMEN maps pairs of neighbouring cell-surface proteins for bispecifics and NEXUS looks for tumour neoantigens.
• 2026-10-14Iambic TherapeuticsIPO · $150MDesigns small-molecule cancer drugs with AI structure-prediction models (NeuralPLexer) linked to an automated chemistry and biology lab.

All 37 in this field →