Spot AI has introduced Iris, which the company describes as the world’s first universal video AI agent builder for enterprise camera systems.
The tool allows businesses to create customised AI agents through a conversational interface, making it easier to monitor and act on video data from physical settings without the need for technical expertise.
Designed for industries like manufacturing, logistics, retail, construction, and healthcare, Iris builds on Spot AI’s earlier launch of out-of-the-box Video AI Agents for safety, security, and operations. While those prebuilt agents focus on common use cases, Iris gives organisations the flexibility to train agents for more specific, business-critical scenarios.
According to Spot AI, users can build video agents in a matter of minutes. The system allows training through reinforcement—using examples of what the AI should and shouldn’t detect—and can be configured to trigger real-world responses like shutting down equipment, locking doors, or generating alerts.
CEO and Co-Founder Rish Gupta said the tool dramatically shortens the time required to create specialised video detection systems.
“What used to take months of development now happens in minutes,” Gupta explained. Before Iris, creating specialised video detection required dedicated AI/ML teams with advanced degrees, thousands of annotated images, and 8 weeks of complex development,” he explained. “Iris puts that same power in the hands of any business leader through simple conversation with 8 minutes and 20 training images.”
Examples from real-world settings
Spot AI highlighted a variety of industry-specific use cases that Iris could support:
Manufacturing: Detecting product backups or fluid leaks, with automatic responses based on severity.
Warehousing: Spotting unsafe stacking of boxes or pallets to prevent accidents.
Retail: Monitoring shelf stock levels and generating alerts for restocking.
Healthcare: Distinguishing between staff and patients wearing similar uniforms to optimise traffic flow and safety.
Security: Identifying tools like bolt cutters in parking areas to address evolving security threats.
Safety compliance: Verifying whether workers are wearing required safety gear on-site.
Video AI agents continuously monitor critical areas and help teams respond quickly to safety hazards, operational inefficiencies, and security issues. With Iris, those agents can be developed and modified through natural language interaction, reducing the need for engineering support and making video insights more accessible across departments.
Looking ahead
Iris is part of Spot AI’s broader effort to make video data more actionable in physical environments. The company plans to discuss the tool and its capabilities at Google Cloud Next, where Rish Gupta is scheduled to speak during a media roundtable on April 9.
(Image by Spot AI)
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