Precision radiology startup Raidium has raised 16 million euros ($16.9 million) in a seed funding round led by Newfund and Kurma Partners, which will go toward the company's advanced AI development and expansion.
Founders Future, Galion.exe, Techmind, Debiopharm Corporate Ventures, and the European EIC fund also provided additional support.
Raidium has developed a radiological AI-native foundation model with an embedded intuitive and interactive view to create an imaging biomarker database for clinical practice and research. The company also provides 3D segmentation, advanced measurements, and automated analysis of complex biomarkers. Its AI model can analyze the entire human body to address complex cases.
Raidium intends to accelerate the global rollout of its technology, including opening offices in the U.S. to expand its network of partners and clients, strengthen its European operations, and pursue regulatory approvals. Additionally, Raidium aims to grow its research and development efforts to improve its multimodal capabilities and grow its team. The company added that it will add 25 members across research, development, regulatory affairs, and commercial partnerships.












![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)





