Sound AI for lone workers and public spaces

Distress and aggression detected on the edge, even when nobody can reach a button. Built for badges, wearables and mobile devices, private by design.

Traditional safety systems can’t always be activated

In many real-world scenarios, users in distress may be unable to manually trigger a panic button or call for help.
Whether due to physical incapacity, shock, or disorientation, workers and vulnerable individuals need devices that act when they can’t.
With Sonaid, equip wearables and mobile safety devices with sound-based intelligence to detect emergencies automatically, even in motion or isolation.

One integration
across safety devices

Whether embedded in badges, wearables, or rugged mobile devices,
Sonaid enables your hardware to detect emergency signals without user interaction, for personal safety and lone worker devices.

Built for real situations,
on the edge

Beyond the lone worker

The same on-device detection protects shared and public spaces, not only the people who carry a device.

Public transport
Buses, trams and trains where drivers and passengers can call for help.
Stations, venues and schools
Stations, stadiums and public buildings where crowds gather.
Security cameras
Add hearing to cameras so they catch what stays off-frame.
Connected building sensors
Fixed IoT sensors that listen for distress and agressions across a whole site.

Why device makers choose Sonaid

Proprietary Sound
AI Models
Easy SDK
Integration
On-Device
Inference
Works in Complex
Acoustic Environments

Sonaid.ai is ready to listen

Talk to an expert  ⮕