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AI FOR SCIENCE · ON THE RECORD

Orakl Oncology

Drug discoveryVillejuif, FranceFounded 2023Website ↗

A Gustave Roussy spin-out that grows tumour organoids from real patients, screens them against drugs and links each result to the patient's clinical history and molecular data, to train models that predict how cancer drugs will perform in trials and to find new drug targets.

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≈ $48.7M
Latest round$34MSeries A · confirmed · 2026-11-13
  • 2026-11-13Series A · $34MconfirmedLed by Norrsken VC, Singular · With InfraVia Growth, Serena, Bpifrance Patient Autonome Fund, teampact.ventures, Plug and Play, Thomas Wolf, Stan Polu, Jacques Boitreaud, Mostafa El Sayed · Existing investors Verve Ventures, Speedinvest, HCVCStated use: a larger dataset and AI research team, five times the data generation, lung and gastric cancer beyond colorectal and pancreatic, new US and UK teams to deploy predictions across more than 10 drug programmes, and identifying and validating new drug co-targets
  • 2024-12-03Seed · €11MconfirmedLed by SingularStated use: growth and the launch of two commercial products, O-Predict and O-Validate
  • 2023-10Pre-seed · €3MconfirmedLed by Speedinvest · With HCVC, Verve Ventures

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.

  • 2026-11-05Potential SciencesSeed · eight-figure sum (capital and compute)Runs gold-standard quantum chemistry (CCSD(T)) on GPUs, at what it says is a hundredth of the usual cost, to compute training data for atomistic models of how molecules bind and react, starting with small-molecule drug discovery for AI-first labs.
  • 2026-11-04Isomorphic LabsRound (unnamed) · $5BAlphabet's drug-design company, spun out of DeepMind to build on AlphaFold: it builds AI models to design drug candidates for its own pipeline and for pharma partners.
  • 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.
  • 2026-10-29PerturbMindAngel and Angel+ · tens of millions of yuanBuilds AlphaCell, a model meant to predict how a cell's gene expression changes when a gene or a drug perturbs it, to help find disease mechanisms, new targets and new kinds of drugs; it plans to sell on-device service subscriptions and private deployments and to co-run drug programmes.
  • 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.

All 42 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.