OpenVector

OpenVector is a platform that connects camera feeds to business software through vision language models. A user describes in plain English what the cameras should watch for and what should happen next, and OpenVector builds a workflow that can be reviewed and edited before it runs. The workflow observes the camera, checks the condition and carries out the action in connected software, such as creating a task, updating a record or sending a notification. The site gives example workflows across several settings: confirming a robot placed a bottle in a cup, ordering materials when a manufacturing staging bay stays empty, tracking items and consignments in warehouses, documenting home care visits for Medicaid records, tracking gym workouts against a plan, checking gloves and helmets before work begins, and notifying a host when a restaurant table is ready. Each action keeps linked evidence from the original event, and uncertain cases can be routed to a person for review. The vendor says it reviews how each workflow performs and can adjust steps, prompts and model choice, with the customer deciding which changes run automatically and which need approval. It states video inference as low as 50 milliseconds and describes a low bandwidth engine for streams. It is aimed at operations teams in manufacturing, logistics, care, safety and hospitality, and at robotics developers. The co founders are Andrey Gizdov and Vishal Urlam. The vendor does not publish pricing. Access is through a demo booking.