Roaddata.ai supplies ground-truth driving data for physical AI development, streaming cabin and road video, synchronized IMU, audio, and telematics from thousands of commercial vehicles in real time. The platform applies its C³O framework to extract 20+ indexed elements per frame, capturing the full causal chain of context, cognition, control, and outcome for each event.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous vehicle developers and simulation engineers lack sufficient ground-truth driving data that captures not just what appears in a scene, but the complete causal sequence of events—what the driver saw, how they responded, and what happened next. Existing datasets are often collected once, sparsely sampled, and fail to represent the density and variety of real-world driving conditions.
Solution
Roaddata.ai provides a continuously refreshing stream of live, ground-truth driving data captured from commercial vehicles nationwide through its DisplayRide dashcam network. The platform collects cabin and road video, telematics, IMU, GPS, and audio, all synchronized to a single timestamp, and then applies AI to extract and index 20+ data elements per frame. Its C³O framework structures every clip into context, cognition, control, and outcome layers, enabling customers to filter by event, actor, road condition, time of day, or location. Raw or curated datasets are delivered via API or in bulk, supporting training, validation, and simulation needs.
Target Audience
Autonomous vehicle developers, simulation teams, insurance providers, smart city planners, and mapping companies requiring real-world, causally structured driving data for model training and validation.
Features
- Live streaming from thousands of commercial vehicles with 24/7 continuous capture
- Synchronized multi-modal data: cabin and road video, IMU, GPS, audio, and telematics per frame
- C³O causal-chain framework tagging each clip with context, cognition, control, and outcome layers
- AI-driven extraction of 20+ indexed data elements including road conditions, actors, and manoeuvres
- Queryable dataset filtering by event type, actor, road condition, time of day, or location
- Privacy-first pipeline that obscures faces and licence plates, requires owner consent, and allows opt-out