SoNUS AI
Sound-based Natural Understanding System
SoNUS’ multi-model AI extracts complex health data from audio collected by standard microphones
Smallest system
Mental wellbeing analysis
Neurological analysis
Heart rate
variability algorithms
Heart rate extraction algorithms
Arrhythmia and murmur detection algorithms
Respiratory rate extraction algorithms
Expanded system
Cardiovascular analysis
Respiratory analysis
Gastrointestinal sounds detection algorithms
Cough detection algorithms
Fatigue, inebriation and other state analyses
Gastrointestinal analysis
Limitless Expansion
A single previously collected audio file can be mined over and over again. This means that, as we expand the types of health analyses our engine is capable of, we can use the same original audio file to discover new health markers. Eventually we are able to expand from our multi-model AI to the world’s first ever audio-to-health foundation model.