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Voice is one of the most powerful yet underused indicators of health. It reflects physical, neurological, and emotional states — often before other symptoms appear. However, in the real world, voice data is highly inconsistent due to background noise, device differences, and variable acoustics. Symptonic solves this problem.

Symptonic develops domain adaptation software that cleans and restores voice signals across devices and environments, making remote voice biomarking reliable, usable, and scalable. Our platform analyses voice using validated metrics such as AVQI, DSI, and SPL to provide actionable insights on vocal health and underlying conditions.

The first commercial product is a vocal wellness app that offers users effortless visibility into their voice, fatigue, and recovery, while clinicians access longitudinal voice data through a connected dashboard. This enables early detection, monitoring, and follow-up without extra appointments — bridging consumer wellness with clinical care.

Our long-term vision is to build a unified, scalable platform for voice-based health monitoring, supporting a wide range of conditions such as dysphonia, Parkinson’s disease, heart failure, and other chronic or neurological disorders.

Symptonic is an Aalto University research-to-business project preparing for spin-out in 2026.