Status:
SDGs:
Industry:
Impact:
Origin:
School:
Established:
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.
Contact
Read more about innovation services
News from innovation ecosystem
Make May the month of movement!
Take part in events on campus and make sustainable mobility part of your working or study day.
1 in 4 mental health patients hurt by wording in electronic health records, finds study
Errors, disrespectful language and information perceived as unnecessary in electronic health records can feel offensive to patients
Researchers measure energy below a zeptojoule–enough for a red blood cell to move a nanometer
A new method for measuring incredibly miniscule amounts of energy – less than a trillionth of a billionth of a joule – could give quantum computing and the hunt for dark matter a boost, while paving the way for counting individual photons.