Sonaid grew out of eight years of research at INRIA. That work is now a production library, protected by a patent filed at INPI.
We take the time to understand your device, your constraints, and your market. Your success is how we measure ours.
Our models learn from a proprietary sound dataset built over eight years. It is not available online, and we keep enriching it.
A model under 2 MB that runs on ESP32, Cortex-M4, and Android. We adapt to your pipeline and your processes.
We license embedded software so you can ship sound event detection inside your own device.
Our library runs in your firmware and can send alerts to your platform directly or through API calls.
We validate every device, especially the microphone, before licensing, so our software performs at its best on your hardware.
We stay involved in the DCASE research community, giving back and bringing the latest state of the art into our software.