
Sonaid develops on-device audio AI that detects distress signals to improve safety in IoT and telecare devices. They deliver a compact, edge-ready SDK that uses audio AI and embedded machine learning to recognize non-speech distress sounds (screams, calls for help, falls) while minimizing power use by processing only meaningful audio. The technology runs locally on wearables and non-wearables, enabling privacy-by-design operation without cloud dependence. Sonaid targets IoT device manufacturers and telecare providers and integrates into existing hardware form factors. The company is based in France and serves customers across Europe, positioning its solution for care, personal safety, and remote monitoring markets.

Sonaid develops on-device audio AI that detects distress signals to improve safety in IoT and telecare devices. They deliver a compact, edge-ready SDK that uses audio AI and embedded machine learning to recognize non-speech distress sounds (screams, calls for help, falls) while minimizing power use by processing only meaningful audio. The technology runs locally on wearables and non-wearables, enabling privacy-by-design operation without cloud dependence. Sonaid targets IoT device manufacturers and telecare providers and integrates into existing hardware form factors. The company is based in France and serves customers across Europe, positioning its solution for care, personal safety, and remote monitoring markets.
What they do: On-device audio AI that detects distress sounds (screams, calls for help, falls) for IoT and telecare devices
Headquarters: Rennes, France
Founded: 2023 (spinout listed Oct 2023)
Tech posture: Edge-ready SDK, privacy-by-design on-device processing
Team size (approx.): 2–10 employees (Dealroom listing)
Care, personal safety, and remote monitoring for elderly and vulnerable people.
2023
DeepTech
327493 USD