Groundbreaking AI extracting health data from sound
Listen to the human body
We build artificial intelligence that can extract complex medical information from sound collected by any microphone.
Using the microphones already present in consumer devices, we can safeguard users and identify problems in ways that normally require complex medical devices.
Every day our bodies are generating data that can save lives, reduce healthcare and consumer costs, predict future events, and help combat and prevent diseases. Despite the tremendous value of this data, no one is listening. We listen. Using novel AI, we enable businesses, governments and individuals to extract human health data at scale, simply from sound.
At the core of Decorte’s vision stands the Sonus AI Engine.
Based on new and proprietary Machine Learning, the engine can extract cardiovascular, respiratory, gastrointestinal, mental and physical health metrics, all simply from sound. The Sonus engine’s capabilites are currently being validated and expanded through clinical studies in Asia, the US and the UK.
Sonus Engine
Immensely valuable data, consistently lost
Collecting human health data at scale, or consistently monitoring our own health in real-time, has so far been impossible. Existing ways of consistently monitoring health data are not feasible at scale, being either extremely expensive (daily visits to private clinics), or complex (consistently monitoring cardiovascular data currently requires always wearing electrodes in tight contact with the skin, needing gel or sweat to function properly).
Audio-based healthcare flips this on its head.
Increasing access, saving lives
We democratise access to continuous health data gathering by using existing infrastructure (phones and computers) and a non-invasive, extremely low-cost method. Continuously collecting health data can be literally life-saving - up to 17 million lives a year.
Due to the ubiquity of microphones, we can reach everyone; including those that currently have no or little access to healthcare. Current mass testing, next to our partnerships with software giants, is taking place in rural areas traditionally deprived of such access.