The problem. San Francisco pledged Vision Zero in 2014, yet the first half of 2026 saw 100 fatal or severe crashes, more than the 92 in 2014. The city's new Street Safety Act asks for quarterly progress dashboards. Street cameras already record the close calls, but nobody has time to watch them.
What it does. ViZ Agent searches video indexed on VAST (NVIDIA VSS retrieval) for four kinds of pedestrian–vehicle conflict across a Toronto dashcam and four San Francisco street cameras. Each candidate must pass three independent checks: YOLO detections, the Cosmos Reason caption verdict, and a Nemotron grader on W&B Inference. Cosmos Reason can take a second look and explain what physically happened. Verified clips are ranked into hotspots, and the agent drafts an Open311 work order with an FHWA proven safety countermeasure picked from the conflict's cause.
For whom. City traffic engineers and Vision Zero teams. In our live run, 60 candidate clips became 4 verified conflicts, so an engineer reviews 4 clips, not 60.
Human in the loop. An engineer approves or rejects each clip with one click. Those labels measure the agent's precision and are published to W&B Weave as a dataset and an evaluation. Every search, check and model call is traced in Weave, and nothing is sent without sign-off. The whole sweep is also packaged as an Agent Skill.
VAST Data
SpaceXAI (Cursor)
CoreWeave (Weights & Biases)
NVIDIA