Powering Real-Time Video Intelligence for Customers
For customers deploying video intelligence across stores, warehouses, and facilities, performance and cost matter just as much as accuracy.
This case study explores how Dragonfruit AI uses Qdrant’s vector search to power the experiences customers rely on every day—from real-time self-checkout monitoring and safety alerts to rapid video search across multiple cameras and locations.
With a Split-AI architecture that runs inference on-site and retrieval in the cloud, customers get fast alerts, quicker investigations, and the ability to scale new AI agents across sites without replacing existing camera infrastructure.
See how this architecture translates into faster rollouts, lower total cost of ownership, and real-world impact across customer environments.