Deep-Tech MedAI built in Switzerland.
Kayalogy develops browser-native medical AI for early cancer detection — engineered for clinical validation, privacy-first workflows, and a regulated SaMD pathway.
Mission: earlier detection. Better outcomes.
We build medical AI that helps reduce diagnostic delay by making advanced imaging intelligence accessible through the browser — scalable for pilots today and regulated deployment tomorrow.
- Clinical usefulness over flashy demos
- Clear intended use + documented limitations
- Evidence-first product development
A platform approach — not a single tool.
Kayalogy is structured as a modular platform: unified UX, standardized evaluation, and an AI layer that can expand across imaging workflows as validation grows.
- Unified product surface for multiple imaging tasks
- Traceable model versions + measurable performance targets
- Scalable architecture for B2B deployments
Security & privacy as a default.
Medical imaging demands strict handling. Our design prioritizes data minimization, controlled access, and clear lifecycle rules — built for institutional environments.
- Privacy-first workflows for sensitive medical data
- Deletion model + access-control design
- Designed for GDPR-compatible governance
Built with partners: pilots, validation, deployment.
We collaborate with clinical and industry partners for validation programs and real-world evaluation. The goal: measurable impact, reproducible metrics, and a clear path to regulated readiness.
- Partner-driven clinical validation structure
- Audit-ready evaluation outputs (metrics + traceability)
- Roadmap aligned with medical standards (e.g., ISO-minded)