A Foundation Model for precision medicine in radiology

Advancing precision medicine by promoting access to imaging biomarkers

Our vision

Our vision

Advancing precision medicine by promoting access to imaging biomarkers through a dedicated AI-native interactive platform.

  • Multimodality

    Multimodality means the model can handle several types of inputs (text, image, sound etc). For example, the latest version of ChatGPT can support both images and texts.

    Test multimodality

    Our last blogpost

  • Foundation Models

    They are trained on very large general datasets, with a method called Self-Supervised Learning (SSL). Contrary to classic supervised models, they are not limited to one task, and can perform a bunch of downstream medical analysis (imaging biomarkers).

    Test Foundation Models

    Link to Manifesto

Our team

A strong experience in AI and Medicine


  • Kurma Partners

    Kurma Partners

    Our lead investor
  • Paris Biotech Santé

    Paris Biotech Santé

    Our incubator
  • Centre d'imagerie du Nord

    Centre d'imagerie du Nord

    Access to a large retrospective real world dataset of medical images
  • Bpi France

    Bpi France

    Deeptech grants
  • APHP


    Paris public hospital
  • MATWIN program

    MATWIN program

    Accelerator dedicated to oncology
  • 21st by Centrale Supélec

    21st by Centrale Supélec

    Incubator, assistance to business development
  • Medicen


    Industry consortium


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