Detailed description (English): We make cycling safer, more convenient, and more visible—while delivering the data cities need to plan active travel.
Detailed description (original language): Most people know AI can analyse video to detect a cyclist or car. See.Sense does something similar—but with motion data.
Our patented lights and trackers use high-resolution accelerometers, recording movement 800 times per second. Then our onboard AI analyses the data to detect braking and swerving, surface roughness, speed and dwell time, and routing patterns.
Our system profiles each rider’s unique behaviour, so we can identify extreme events—like sudden braking that’s out of the norm. These events often correlate with risk or discomfort.
We then transmit only the most valuable data, using low-power cellular connectivity and efficient on-device processing. This means we get powerful insights, without draining power or bandwidth.
It’s not just what we collect. It's how we intelligently interpret and send it.
What We Measure
Braking/Sudden deceleration—often linked to risk or conflict on the route.
Swerving - Evasive actions due to narrowing, obstructions, or unexpected hazards.
Surface Condition - Indicates how rough or smooth a route is, affecting ride comfort and safety.
Route Choices - Reflect real-world rider decisions—not just the shortest or fastest path.
Collisions - Track accident hotspots and analyze collision data to improve safety for cyclists.
Survey Reports - Collect feedback from cyclists to gain insights into their experiences.
Target group(s): We work with cities and transport authorities as well with organisations to provide better understanding of cycling/micromobility safety, infrastructure and behaviour change
International