Our most advanced current capability. We build AI systems that run on the bike, classifying threats, detecting objects, and delivering real-time alerts to riders without relying on a phone or cloud connection. Our edge-compute approach means the intelligence lives in the device, making it faster, more reliable, and independent of connectivity.

We have been developing and patenting AI camera systems for cycling since 2018. The training data, model architectures, and real-world validation behind that work represent a head start that is very difficult to replicate.

The SRS was a multi-function ride platform developed and deployed with a commercial e-bike fleet in Australia. Combining navigation, safety alerts, performance tracking, and AI-assisted rider assistance in a single integrated system, the SRS represented one of the earliest real-world deployments of smart ride technology at scale.

A proprietary CVT (Continuously Variable Transmission) drivetrain engineered specifically for the e-bike market. Designed to be simple, low-cost to manufacture, and capable of a gear range exceeding 500%, the Skillion Drive addressed a genuine gap in what was available to e-bike manufacturers: smooth, wide-range gearing without the cost or complexity of conventional systems.

We built one of the first compact IoT systems designed specifically for e-bikes, integrating camera, real-time data, remote diagnostics, and security in a single module. That system evolved through multiple generations, informing the architecture of everything we build today.

In 2016, we introduced the first rear camera system for bicycles. What started as a visibility tool evolved (through patented AI integration) into a full hazard detection and classification platform. That lineage runs directly into Hawkeye.