Type what you're looking for the way you'd describe it to a colleague — a person, a vehicle, an event, a moment — and retrieve the matching footage in seconds, ranked by relevance, across archives of up to 10,000 camera-hours.
Five capabilities that turn a video archive into something you can interrogate directly, instead of scrubbing through timelines by hand.
Accept natural language queries and return matching video segments ranked by relevance within 2 seconds for archives up to 10,000 camera-hours.
Support semantic search, metadata search, face search, object search, vehicle search, and event-type search — combinable in a single query.
Support vector similarity search from a selected frame or object crop.
Every result returns a thumbnail, confidence score, camera ID, timestamp, and a deep link to the exact video timestamp.
Support saved searches and standing alerts — e.g. “notify me whenever a white SUV appears at Gate 3.”
Every module below shares the same edge-first architecture and event model as this one — deployable independently or together.
Partner with Neveon Technologies to bring natural language video retrieval to your existing camera infrastructure.