September 4, 2025
Healthcare runs on data but in most hospitals, that data is locked away in messy and unstructured formats like handwritten notes or scanned reports. This lack of structure creates massive inefficiencies, increases the risk of errors, and adds to the crushing documentation burden that fuels clinician burnout.
That’s why we’re proud to back aiomics, an AI-powered platform helping hospitals transform unstructured clinical inputs into structured and verified patient records. By turning chaos into clarity, aiomics frees up time for clinicians and ensures patients receive safer, more consistent care.
aiomics acts as an intelligent documentation co-pilot for hospitals. Its data engine transforms unstructured clinical information into structured patient records. With automated coding and seamless routing across departments, the platform creates a unified knowledge base that improves both data quality and accessibility.
On top of this foundation sits a customisable AI workforce that assists hospital staff with real-world tasks: drafting discharge summaries, completing insurance forms, surfacing reimbursement opportunities or supporting compliance. Together, these modules save hours of manual work per patient, reduce errors and improve the overall hospital experience for both staff and patients.
The timing couldn’t be better. Europe’s healthcare AI market is set to grow to $143 billion by 2033, driven by both demand and regulation. Hospitals are under immense pressure to digitise workflows and with the European Health Data Space mandating interoperability by 2028, structuring patient data has shifted from “nice-to-have” to non-negotiable.
Amid growing documentation burdens and rising clinician burnout, the need for automation is urgent. aiomics is positioned to meet this moment, not just as a transcription tool, but as infrastructure-level AI built to support the full patient journey from admission through discharge and beyond.
At the heart of aiomics is a founding team combining medical insight, AI expertise and operational know-how. Sven, Nikita and Kirill combine medical training, strong networks, AI expertise and regulatory knowledge which positions them as a very strong founding team.
In just six months, the team has already secured impressive early traction, including pilots with important players in the space. Their ability to build quickly, earn trust, and sign meaningful deals so early speaks volumes about both execution and market demand.
We believe Aiomics has the potential to become the category leader in AI-powered hospital operations. By solving one of the biggest bottlenecks in healthcare they’re addressing a pain point with enormous scale and urgency.
Backing Sven and his team alongside co-investors like Vorwerk and Norrsken reinforces our conviction. At Calm/Storm, we’re excited to support Aiomics in building the infrastructure hospitals need to move from data overload to data-driven care.
