Spot AI Unveils Iris a Conversational Tool for Building Custom Video AI Agents

Spot AI, a company that has grown into a key player in the field of Video AI for physical environments, announced today the launch of Iris, its latest product that allows enterprises to build their own custom video AI agents through natural conversation. Touted as the world’s first universal video AI agent builder, Iris is designed for industries such as manufacturing, logistics, retail, construction, and healthcare. The announcement marks a significant expansion of Spot AI’s platform, following its Fall 2024 release of prebuilt Video AI Agents for safety, security, and operations.

Iris enables users to create agents tailored to their specific operational needs without any prior experience in coding or machine learning. Rather than relying on teams of data scientists or weeks of model training, business leaders can now instruct the system through a simple conversational interface. According to Spot AI, what previously required eight weeks of development and thousands of annotated images can now be accomplished in just eight minutes and twenty training images.

“Iris transforms how we interact with video data through natural conversation,” said Rish Gupta, CEO and Co-Founder of Spot AI. “What ChatGPT did for text, Iris does for video-making powerful AI capabilities accessible without requiring technical expertise. Iris will help anyone build an AI agent that watches videos and acts on their behalf–from retailers and hospitals to the industrial heart of America.”

The system builds on a core principle that for AI to move beyond digital interfaces and into real-world operations, it must be able to see. With over 100 million enterprise cameras deployed across the United States, Spot AI sees a significant opportunity in turning these passive devices into intelligent agents that can observe, interpret, and respond to activity in real-time. The company’s earlier agents, launched in late 2024, were pre-trained to address a range of common workplace scenarios, including reducing injuries, minimizing security risks, and preventing operational inefficiencies.