Sightline turns any video feed into a self-configuring monitoring agent. Instead of making users define rules, detectors, or searches, Sightline first watches the footage, identifies the environment and important entities, decides what events matter, and writes its own NVIDIA Cosmos analysis prompt.
Users can search the VAST archive and click “Add to Monitor,” or upload a completely new clip. Sightline then configures itself for that feed, monitors it, places events directly on a scrubbable timeline, and investigates important moments using before/after context, YOLO detections, related footage, other camera angles, a Cosmos second look, and a W&B reasoning verdict.
The same engine adapts across environments: a warehouse feed generated worker/forklift safety objectives, while street footage generated pedestrian/vehicle objectives. Sightline uses VAST Data, NVIDIA Cosmos Reason + Embed, YOLO11, CoreWeave, Weights & Biases Inference, and Cursor.
SpaceXAI (Cursor)
CoreWeave (Weights & Biases)
NVIDIA