Spot AI Introduces the World’s First Universal AI Agent Builder for Security Cameras

In a major step forward for video intelligence and physical-world AI, Spot AI has unveiled Iris, which it describes as the world’s first universal AI agent builder for enterprise security cameras. With Iris, businesses can create custom video-AI agents through a simple conversational interface; no coding or ML-team required.

As AI increasingly moves from digital to physical spaces in manufacturing, retail, logistics, construction, and healthcare; video data is rapidly becoming a strategic asset. Iris enables organizations to unlock that value by rapidly building and deploying agents that monitor video feeds, detect anomalies, and trigger real-world actions. This democratizes video-AI, shifting power away from large AI engineering teams and into the hands of business units and operations leaders.

Key highlights:

• Iris supports no-code, conversational creation of AI agents: users can “talk” to the system and build agents with just a few training images.
• Training is rapid: Spot AI claims agents can be built in “minutes” using as few as ~20 annotated images, versus weeks and thousands of images previously.
• Custom triggers and actions: Beyond detection, Iris agents can initiate real-world responses such as locking doors, shutting equipment down, or issuing alerts when specific conditions are detected.
• Broad industry fit: Use cases cited by Spot AI span manufacturing (product-line backups, fluid leaks), warehousing (unsafe stacking of pallets), retail (shelf stock monitoring), healthcare (differentiating staff vs patients), and security (detecting intrusion tools).
• Leverages existing infrastructure: Iris works with existing IP camera networks and on-site or edge processing to minimize infrastructure overhaul and latency.

Industry context:
Video-AI and surveillance systems are undergoing a transformation. With more than 100 million enterprise cameras deployed globally, the next frontier is converting passive video feeds into actionable intelligence. Spot AI’s push aligns with a broader trend: making AI tools more accessible through no-code/low-code interfaces and shifting from pre-built solutions to highly customizable ones. In addition, with AI regulation, privacy, and edge-processing concerns rising, solutions like Iris — which offer on-site processing and instant enterprise-specific customizations — are increasingly important.

Competitors in video-AI analytics and security are also racing ahead, but many still depend on heavy customization and significant engineering overhead. Spot AI differentiates by lowering the barrier to entry and enabling business-users to build video-AI agents tailored to their processes, not just generic use-cases.

Iris marks a critical milestone in the “computer vision for every camera” era. As the physical world becomes increasingly instrumented, enterprise operations will demand flexible, fast-to-deploy AI that speaks the language of business. Expect to see video-AI agents evolve from niche security tools into mainstream operations assistants — and solutions like Iris will lead that shift.