
The Observed World Layer Models that move through the world have to learn from it. 375edge delivers that: continuous, multimodal training data covering behavior, movement, sound, and environment, annotated and structured from a permanent network of urban nodes data labs can't scrape or simulate.

Each 375edge node is a fixed observation point: up to six 4K cameras, ambient microphones, and environmental sensors, fused by our edge AI stack into a continuous, structured record of how the world actually behaves.

Labels are generated on-device at capture time, not retrospectively applied. This means richer, more accurate metadata per frame. Weather, light levels, and ambient sound are recorded with the scene itself, context that retroactive labeling can’t recover. Labeled data comes off the network at the same rate footage does, with no human pipeline in between

Every node has precise GPS coordinates, calibrated camera FOV, and known viewport angles, whether static or PTZ. Every frame comes with exact vantage metadata, ideal for next-state prediction architectures. Motion in the frame maps directly to motion through real space, so models learn how scenes evolve in physical terms.

We operate inside a network of major outdoor media companies. Our exclusive partnership with OUTFRONT Media puts nodes on up to 40,000 premium public space locations across 180 U.S. cities, a physical distribution network built over decades. Our cameras see what no public dataset captures.
Real Time Data Models have run out of internet to learn from. The next frontier is the physical world. Every week we turn 21,000+ hours of real-world activity into labeled, sensor-enriched data , continuous observation of how the physical world actually moves.
