28 Paris & Île-de-France start-ups do real machine-learning R&D on medicine — half of it in imaging and pathology

Asked (summary):

Start-ups and scale-ups applying data and AI to medical subjects (MedTech), with real research and development in ML — not only GenAI — based in Paris or the nearby Île-de-France region.

A live-web screen on 24 October 2026 produced 28 strong matches headquartered in Paris or Île-de-France, backed by 702 source citations across 22 independent hosts (at most one retained row per source URL). Every retained company shows concrete ML R&D proof — peer-reviewed papers, patents, proprietary clinical datasets, regulatory clearance or research collaborations — not just an AI marketing claim. This is a research shortlist, not an enumeration of every company in the region.

Clinical & medical-device (imaging, robotics, digital biomarkers) Biomedical & drug / genomic discovery Bubble area = number of independent source citations · hover a company for its ML methods and best R&D proof

Imaging & pathology is the deepest cluster — 12 of 28 companies — from Raidium's Curia radiology foundation model trained on 150,000 hospital exams to Bioptimus' H-Optimus, ranked #1 on PathBench across 229 tasks. alphaxiv.org

Hard regulatory proof is common: Qynapse's QyScore is FDA-cleared and CE-marked, Therapixel holds multiple FDA 510(k) clearances for MammoScreen, and Wandercraft's exoskeletons gained a second FDA indication extension in November 2025. healthaicentral.com

Drug and genomic discovery relies on explicitly non-generative ML — Aqemia's QSAR, ranking models and graph neural networks built on statistical mechanics underpin a $140M research deal with Sanofi. builtin.com

Robotics entries carry unusual physical ML depth: Robeauté's brain microrobot ships ML navigation under 50+ patents, with a $28M seed and human trials due 2026; Synsight appears despite its 2024 acquisition by Iktos because its Île-de-France R&D platform remains relevant. eutechfuture.com

All 28 companies

Company	Medical focus	Non-GenAI ML methods	Best R&D proof	Location	Status / maturity	Source

Method: research shortlist of 28 Paris / Île-de-France MedTech companies with verifiable non-GenAI machine-learning R&D, one row per company; 702 supporting citations across 22 independent source hosts, at most one retained row per source URL; sources scanned 2026-10-24. Bubble size reflects independent source citations per company, a proxy for evidence volume, not quality or funding. Long focus, method, proof and status texts are truncated for space; status is "Not stated" where the sources gave none. Not an exhaustive census of the region.

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