AiMorphous Health

Startup
Summarized by Halo AI

AiMorphous Health is a Swiss medtech startup developing AI-powered blood diagnostic technology to monitor and predict risks of thrombosis and bleeding for early detection and preventative healthcare.

Founded & HQ
Basel, Switzerland
Company size
1-10 employees
Funding
~$50K
IP status
2 grants confirmed
Activity highlights
Secured CHF 40,000 during the second stage of Venture Kick's support and joined the HKSTP Incu-Bio Programme following a first-prize win at the 2025 InnovateX Contest

AiMorphous Health is a Swiss medtech startup founded in 2022 that specializes in the development of AI-powered blood diagnostic technology. The company focuses on creating disruptive diagnostic tools engineered to analyze blood samples using advanced machine learning models and proprietary biomarker systems. By identifying subtle patterns and early biomarkers that often elude traditional diagnostic methods, their technology aims to monitor and predict the risks of thrombosis and bleeding. This approach is designed to detect cryptic biological activities, including those related to inflammaging, providing clinicians with actionable insights to enable earlier intervention, improve patient safety during anti-thrombotic treatments, and enhance overall cardiovascular health outcomes.

By addressing the global challenge of thrombosis—a leading cause of death and disability—the company aims to provide a reliable solution for early, preventative monitoring. Their work supports the goal of shifting from reactive treatment to proactive, evidence-based health management. The startup has gained recognition through various accolades and support programs, including grants from the Hong Kong Science and Technology Parks Corporation (HKSTP) Incu-Bio Programme, selection by Venture Kick, and winning the first prize at the 2025 International IntelliSense InnovateX Contest. Headquartered in Basel, Switzerland, AiMorphous Health is actively working to bring its diagnostic solutions from development into clinical practice.

AI summary generated on Jun 22, 2026
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