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.