Raidium Raises €16 Million to Deploy the World’s First Foundation Model for Precision Radiology embedded in an AI-Native PACS Viewer

Raidium has developed the world's first foundation model for precision radiology combined with an AI native PACS viewer, enabling radiologists to perform ultra-precise, instant organ segmentation, instant biomarker calculation and automated medical reporting.

Raidium, an innovative startup in precision radiology, has announced a €16 million seed funding round led by Newfund and Kurma Partners, with additional support from Founders Future, Galion.exe, Techmind, Debiopharm Corporate Ventures and the European EIC fund. This funding propels Raidium forward as the world’s first developer of a radiological foundation model, leveraging advanced AI for comprehensive, multimodal analysis. Designed to address the complex needs of both clinical trials and clinical practice, Raidium’s technology marks a critical leap in radiology, promising faster, more accurate, and scalable insights for complex cases like metastatic cancer tracking and whole-body diagnostics. The funding will strengthen Raidium’s technological leadership in biomedical imaging, accelerate its expansion in Europe and the United States, and advance key regulatory milestones such as FDA approval and CE marking.

Founded in 2022 by Dr. Paul Hérent (CEO) and Pierre Manceron (CS0), Raidium is a MedTech developing the first 3D Foundation Model for precision radiology: a Large Multimodal Model. It is delivered to radiologists through a product AI-native PACS viewer, enabling direct interaction with the model, like a radiology copilot.

Initial applications focus on enhancing biomarkers in clinical trials, particularly in oncology and liver diseases, before expanding to the broader radiology workflow.

Raidium is supported by an exceptional team of 15 engineers and researchers, hailing from top educational backgrounds and previous experiences at Owkin, Meta, Cardiologs, Datadog, and more. Raidium is based in Paris, France, and is part of the Paris Biotech Santé Incubator (Cochin) and Station F 21st program.

Addressing an Urgent Need for Innovation in Medical Imaging

The demand for precision diagnostics is rising, yet radiologists are hindered by outdated tools that limit productivity and accuracy. Radiological workflows are becoming increasingly complex, particularly with 3D modalities such as MRIs and CTs which current systems struggle to handle efficiently. This strain exacerbates burnout risks for radiologists and can impact diagnostic accuracy. In clinical research, where one-third of trials depend on imaging endpoints, traditional software tools often allow only a single measurement at a time, limiting adaptability and speed. Despite the proliferation of AI solutions, adoption remains low due to their narrow, fragmented scope and limited integration into daily workflows.

Raidium: The Radiologist’s New Cockpit

Raidium has developed the world’s first radiological AI-native foundation model, transforming precision radiology with its holistic and multimodal approach. Embedded in an intuitive, interactive viewer – dubbed as the “GPT of radiology” – it enables the creation of an imaging biomarker factory for both clinical practice and research. Raidium provides detailed 3D segmentation, advanced measurements, and automated analysis of complex biomarkers with unprecedented speed—2,500 times faster than manual methods. Its AI model can analyse the entire human body, addressing complex cases such as metastatic cancer spread across multiple organs, and virtual biopsies for liver diseases like NASH.

As a result, the platform enhances productivity and diagnostic accuracy while generating comprehensive, automated reports. By merging cutting-edge AI with user-friendly design, Raidium empowers radiologists with an unparalleled tool to set new standards in precision and efficiency.

Early Successes in Pharma and Leading Hospitals

In less than two years, Raidium has already attracted the interest from major players in both the pharmaceutical and medical research sectors. It has established partnerships with academic centers in France (AP-HP, Centre Imagerie du Nord), and secured its first contracts with pharmaceutical clients and won a 1 year mentoring program with Amgen - Biolabs Golden ticket. These early milestones highlight the growing demand for robust, integrated imaging solutions that bridge clinical and research needs.

Moreover, Raidium has also just been selected among the 40 most promising startups by Station F, the iconic startup campus in Paris (France), a list of what it calls the “Future 40.”

Dr. Paul Herent, Raidium’s co-founder and CEO, commented:

"As a radiologist and passionate about AI, I see firsthand how current solutions fail to truly support radiologists and, by extension, patients who rely on timely and accurate diagnoses. At Raidium, our mission is to create a scalable, life-saving solution that transforms radiology into a more precise and accessible field.”

At Techmind, we're delighted to be taking part in this adventure, which is set to revolutionize the medicine of today and tomorrow,

Raidium creates the Chat GPT for precision radiology

Paul Hérent (CEO Raidium) et Pierre Manceron (CSO Raidium)

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