Ask any location question. Get a real answer. That is it.
The US 2025 Traffic Events dataset brings over 104 million telematics-grounded records into a road-segment-level risk scoring layer built for UBI underwriting and commercial fleet analytics. For the first time, your models can price the exact intersection, curve, or on-ramp where risk clusters, not the territory it happens to fall inside.
Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.
A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.
Usage-based insurance promised precision pricing. What most carriers got instead was telematics data feeding the same coarse territory models that existed before GPS existed. The signal is in the road. The models are in the zip code. That gap is where margin leaks.
Hard braking, sudden acceleration, and aggressive turning events are classified and geolocated, giving your models a behavior signal that accident reports will never provide until it is too late.
Each event carries timestamped coordinates and speed or acceleration magnitude, so you can weight events by severity and build risk scores that reflect how bad a behavior was, not just that it happened.
Events are joinable to the road network at segment level, letting you build heatmaps by intersection, curve, or on-ramp and flag specific corridors for premium adjustment or fleet routing avoidance.
Video availability flags on qualifying events let claims investigators and driver coaching teams surface the footage that matters without manually scrubbing hours of recorded data.
BigGeo AI is live in ChatGPT today and shipping in Claude, giving your analysts direct plain-language access to 104 million traffic events without a GIS specialist or a data pull request. Ask which intersections in a target market generate the most hard-braking events, which corridors should trigger premium surcharges, or which routes a commercial fleet should avoid entirely. The underlying data never leaves the governed compute path, regardless of how the query is structured.