Spot AI Launches Iris, a groundbreaking tool the company calls the world’s first universal video AI agent builder for enterprise security camera systems.
Designed for businesses in sectors like manufacturing, logistics, healthcare, retail, and construction, Spot AI Iris allows organizations to build customized AI-powered video agents through a simple, conversational interface—eliminating the need for complex machine learning expertise.
What Is Spot AI Iris?
At its core, Iris is a no-code tool that lets users create video AI agents that can detect, analyze, and act on specific physical events in real time. Unlike Spot AI’s previous lineup of prebuilt Video AI Agents, which focus on safety and security out of the box, Iris offers complete customization.
And the best part? You don’t need a PhD in AI to use it.
“What used to take months of development now happens in minutes,” said Rish Gupta, Spot AI’s CEO and Co-Founder. “Iris puts that same power in the hands of any business leader through simple conversation—with just 8 minutes and 20 training images.”
How It Works: From Training to Action in Minutes
Iris enables users to train AI agents using reinforcement learning—you simply show examples of what the AI should or shouldn’t detect. Once trained, these agents can be configured to:
- Trigger real-time alerts
- Lock doors
- Shut down machinery
- Send notifications to teams
It’s all controlled via natural language input—think ChatGPT meets surveillance cameras, but tailored for real-world enterprise use cases.
Real-World Use Cases by Industry
Here’s how different sectors are already applying Spot AI Iris:
| Industry | Use Case Example |
|---|---|
| Manufacturing | Detecting fluid leaks or product backups and triggering auto shutdowns |
| Warehousing | Spotting unsafe stacking of pallets to prevent injuries |
| Retail | Monitoring shelf stock and sending restock alerts |
| Healthcare | Distinguishing staff vs. patients to improve traffic flow |
| Security | Identifying bolt cutters or other tools for potential theft |
| Construction | Ensuring safety compliance, like checking for hard hats |
“With Iris, frontline teams can create custom detection models without waiting on engineering or IT,” says Gupta.
Why It Matters: AI-Powered Video, Democratized
Previously, creating specialized video detection systems required:
- Weeks of development
- Thousands of labeled images
- A dedicated team of AI/ML experts
Now, Spot AI Iris reduces that to a matter of minutes with just a few dozen images—and a conversation.
This democratization of video analytics marks a huge leap forward for real-time physical environment monitoring, putting cutting-edge tools in the hands of warehouse managers, safety officers, and retail staff alike.
What’s Next for Spot AI?
Spot AI plans to demo Iris and its broader Video Intelligence Platform at Google Cloud Next, where CEO Rish Gupta is scheduled to speak at a media roundtable on April 9.
With over 500 paying customers and a presence in sectors ranging from emergency response to aerospace, Spot AI’s continued innovations could make custom AI agents as common as surveillance cameras themselves.
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