Velo.ai

Velo.ai is an advanced hardware and software solution designed to enhance cyclist safety through artificial intelligence. Its core product is an integrated bike light and camera system that actively monitors the road environment, processes data in real-time, and provides intelligent alerts to prevent accidents. The primary value proposition is moving beyond passive illumination to an active safety partner that predicts hazards, communicates with other road users, and collects valuable urban mobility data, thereby creating a safer ecosystem for cyclists in increasingly complex traffic conditions.

Key features: The device combines a high-lumen headlight and a wide-angle camera to record rides. Its onboard AI processor analyzes video feed to detect vehicles, pedestrians, and potential collision risks, providing audible and visual warnings to the rider. It features patented communication signals, like a projected laser lane and brake light, to increase cyclist visibility and intent to drivers. The system also automatically uploads ride data to a cloud platform for review, incident flagging, and detailed analytics on near-miss hotspots and riding patterns, offering insights for both the individual user and city planners.

What sets Velo.ai apart is its deep integration of sensor technology, edge computing, and data analytics into a single, rugged consumer device. Unlike basic bike lights or action cameras, it performs real-time hazard detection and prediction locally on the device, ensuring instant alerts without latency. Its unique driver communication signals are designed to reduce ambiguity in traffic interactions. Furthermore, the aggregated, anonymized data from its user network provides unparalleled insights into urban cycling infrastructure safety, a feature leveraged by bike-share companies, fleet operators, and municipal transportation departments for proactive infrastructure improvements.

Ideal for individual commuters and recreational cyclists seeking enhanced personal safety through technology. It is also a critical tool for bike-share and micro-mobility fleet operators needing to monitor vehicle usage, ensure rider safety, and manage liability through incident data. Urban planners, transportation researchers, and smart city projects utilize the platform's aggregated safety data analytics to identify dangerous intersections, plan protected bike lanes, and measure the impact of infrastructure changes, making it a key component in data-driven urban mobility initiatives.

While the core app and basic safety features are accessible through a freemium model, advanced analytics, fleet management dashboards, and commercial data APIs are available under paid enterprise plans. The hardware requires an upfront purchase, and the subscription services provide deeper insights and scalability for professional and organizational use cases.