Sherlocked transforms warehouse surveillance footage into actionable safety intelligence. Instead of manually reviewing hours of recordings, safety teams can monitor multiple camera feeds through an interactive command centre that flags potential collisions, near misses, and hazardous situations.
When an incident is flagged, Sherlocked highlights the relevant footage, identifies involved objects, and helps investigate possible contributing factors. It then recommends preventive measures, supports risk assessments, and helps create corrective-action plans.
Built on VAST AI OS, Sherlocked leverages NVIDIA Cosmos video understanding, YOLO object-detection metadata, and CoreWeave infrastructure. Weights & Biases powers AI-assisted incident analysis and safety recommendations, while Cursor accelerates development.
Our goal is to go beyond video search:
SpaceXAI (Cursor)
NVIDIA
CoreWeave (Weights & Biases)