Swiss healthtech company Aeon has raised €8.2 million that will go toward the development of an AI platform for early disease detection and preventative healthcare, according to eu-startups.com.
Aeon integrates full-body MRI, advanced blood biomarkers, and genetic insights into a single 60-minute check-up. The company uses AI for automated imaging analysis, cross-validation between data, and predictive modeling. The platform also offers full-body checkups eligible for reimbursement by health insurers, it said.
The funds will support Aeon’s expansion across Switzerland, Germany, and the U.K., with further international markets planned. The money will also be used to boost partnerships with insurers and employers to boost access and affordability, and to improve Aeon’s multimodal AI platform for earlier and more precise diagnostics.
Aeon also plans to open more than 10 new locations in the coming months as it scales its clinical network.
The round was led by London-based VC Concentric, with participation from Calm/Storm Ventures, GoHub Ventures, Kadmos Capital, EWOR, and angel investor Daniel Gutenberg.
For more details, go to the eu-startups website.
![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.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
