We're driven by the belief that AI can profoundly transform radiology, for the best, but not in the way current solutions do.

About how R.Read, capable of analyzing MRIs with unprecedented precision, could help French researchers detect multiple sclerosis (MS) earlier and track the disease's progression more effectively, potentially improving patient care.

The article covers Raidium's US launch of its AI-native radiology platform, Raidium Read, now deployed at Moffitt Cancer Center, one of the country's leading oncology research institutions. Raidium Read automates RECIST tumor measurements across organs and time points and has replaced Moffitt's legacy radiomics tools, with FDA clearance expected by year-end.

Raidium and Centre Léon Bérard have been selected as partners in the ANR, the French National Research Agency-funded MA-MTB project

Informatique et Numérique shares how Raidium leverages foundation models to manage technical complexity. The article details our transition toward shared technical frameworks designed to modernize oncology workflows and ensure diagnostic precision.

We’re thrilled to be selected among STATION F Future 40 2024! Raidium is very proud to be named on this prestigious list, which highlights the 40 best-performing startups out of over 1,000 startups hosted at the world’s largest startup campus in the heart of Paris!

Paul Hérent (CEO & Co-founder) introduces Raidium, currently under development at the Centre Cardiologique du Nord.

Le Monde featured Raidium as one of seven AI-promising medical solutions developed by physicians.

We’re thrilled to announce that we’ve been accepted into the StartX Spring 2025 cohort! StartX is renowned for its amazing community of founders and world-class mentorship, and joining this network is a huge milestone for us.

🎥 Exciting news from the Raidium team! We've just released a short video showcasing ONCOPILOT, our breakthrough AI model designed to tackle the complexities of solid tumor evaluation. ONCOPILOT is setting new standards for automated lesion measurement! Our latest manuscript, now available on arXiv, demonstrates the impact of this model: Delivers state-of-the-art performance in tumor segmentation, Achieves radiologist-level precision in RECIST 1.1 evaluations, Enhances workflows by reducing variability and boosting interactivity with radiologists.

We are honored to be named one of the 15 laureates of the #MicrosoftGenAIStudio ! This recognition highlights our work in developing a LVLM (Large Vision Language Model) foundation model for precision radiology, delivered through a next-gen AI-Native PACS viewer to accelerate radiological measurements.

We're very proud to announce Raidium's €16 million seed round, co-led by Newfund and Kurma Partners, along Galion.exe, Founders Future, Debiopharm, Techmind, and the European Innovation Council and SMEs Executive Agency (EISMEA). This large seed round will bolster our growth and let us support many more industrial and academic biomarker research projects. We'll deploy the product we've prototyped to market and continue growing our world-class team.

🏆 We are very proud to announce that Raidium is a Grand Prix winner of the French I-Lab Innovation Contest and one of the 237 projects that will be supported by the government through hashtag#France2030! This success marks a significant milestone in the growth of Raidium and will support cutting edge R&D to invent the radiology workflow of the future! Big thanks to our exceptional team and all our partners for their participation in this accomplishment 🎉

We are thrilled to announce that we are among the winners of the EIC Accelerator funding program! This highly competitive program comes with a European grant of €2.5M and an equity investment in our future 2027 funding round. It is a major recognition for the tremendous potential of Raidium's foundation model technology and for our exceptional team. And we made it on our first try! This grant will boost our growth and accelerate our roadmap to democratize precision radiology. By integrating innovative generative AI technology in the demanding workflows of radiologists, we help accelerate research and improve patient care.