OpenVector
Vision Language Action Systems for the Physical World.
OpenVector is a vision-language-action platform that connects video streams from cameras to frontier vision-language models for real-time understanding, with video inference as low as 50ms. It addresses the problem of turning what cameras observe into automated follow-up in business software, such as triggering a restock request when staging runs empty or notifying a supervisor when a condition is met.
The platform is organized around three capabilities: Vision observes the physical world through cameras and captures evidence; Language defines tasks, conditions, and next steps in an editable workflow built from plain-English prompts; and Action creates tasks, updates records, and sends notifications in business software. Workflows can be reviewed and edited before running, and OpenVector reviews workflow performance to suggest adjustments to steps, prompts, and model choice, with the user deciding which changes run automatically or require approval. Industry examples span robotics, manufacturing, logistics, retail, hospitality, home care, safety procedures, and gyms. Integrations cover categories such as CRM for gyms and multi-site businesses.
OpenVector is aimed at operations teams looking to automate camera monitoring across sites, including manufacturing, warehousing, retail, automotive service, property management, and hospitality. Deployment involves connecting cameras to the OpenVector app. The pages do not specify a free plan, trial, editions, or pricing model.
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