Spot AI has unveiled Iris, the world’s first universal video AI agent builder for enterprise camera systems—marking a pivotal evolution in how businesses can use video data for operational intelligence.
Iris empowers organizations to create customized AI agents via a simple conversational interface, making it easier than ever to monitor, analyze, and act on video footage without the need for deep technical expertise or large AI/ML teams.
Designed for industries like manufacturing, logistics, retail, construction, and healthcare, Iris expands upon Spot AI’s earlier out-of-the-box Video AI Agents for safety, security, and operational workflows. But while those prebuilt agents are limited to common use cases, Iris allows full customization tailored to mission-critical business scenarios.
A Groundbreaking Shift in Video AI
“What used to take months of development now happens in minutes,” said Rish Gupta, CEO and Co-Founder of Spot AI. “Before Iris, creating specialized video detection systems required AI teams, thousands of labeled images, and weeks of development. Iris puts that power in the hands of any business leader through simple conversation—with as little as 8 minutes and 20 training images.”
The AI agents can be trained through reinforcement—by feeding examples of what the system should and shouldn’t detect—and configured to trigger real-world actions, such as locking doors, sending alerts, or shutting down equipment when anomalies are detected.
Real-World Use Cases of Iris
Spot AI’s Iris is already demonstrating immense value across multiple industries, solving high-impact business problems through advanced, yet accessible, video intelligence:
1. Manufacturing: Boosting Efficiency & Reducing Risk
Case: Silver Bay Seafoods
Silver Bay Seafoods implemented Iris to optimize their production workflows. The AI agent detects product backups and fluid leaks in real-time, automatically triggering alerts or halting operations depending on severity. This not only enhances safety compliance but also prevents costly equipment downtime.
2. Warehousing & Distribution: Loss Prevention & Worker Safety
Case: Tidewater Fleet Supply
In their distribution centers, Tidewater Fleet Supply uses Iris to detect suspicious activity such as unauthorized access or theft. The AI also monitors for unsafe stacking of inventory, helping prevent accidents and injuries. Their team reported a notable drop in internal theft and near-miss incidents post-implementation.
3. Retail: Standardizing Security & Improving Inventory Visibility
Case: Bridge33 Capital
With dozens of properties under management, Bridge33 Capital used Iris to unify and standardize their surveillance systems. The AI agents detect low shelf stock and unauthorized access after hours—helping both security and store managers respond quickly across multiple locations.
4. Education: Enhancing Campus Safety
Case: Eureka College
Iris has helped Eureka College reduce incident resolution time and improve overall campus monitoring. The AI agent identifies unusual nighttime activity, supports student safety protocols, and ensures faster intervention when needed.
5. Automotive Services: Customer Experience & Claim Management
Case: Camel Express Car Wash
Customer damage claims used to consume valuable operational time. Iris now monitors cars throughout the wash process. When a claim is submitted, teams quickly review relevant footage, significantly speeding up dispute resolution and improving customer trust.
A Simpler, Faster Way to Build Intelligent Video Systems
What makes Iris unique is not just the breadth of its applications, but how easy it is to deploy. Businesses can go from idea to functioning AI agent in under 10 minutes—without needing an engineering team.
These AI agents continuously monitor video feeds and can evolve as business needs shift. From safety violations to workflow inefficiencies and evolving security threats, Iris is engineered to provide real-time visibility and actionable insights.
Iris is part of Spot AI’s broader mission to make video data actionable in physical environments. The company will showcase Iris at Google Cloud Next, where CEO Rish Gupta is scheduled to speak during a media roundtable.
This innovation reflects a larger trend in enterprise AI—democratizing advanced capabilities and placing them directly in the hands of operators, security teams, facility managers, and business leaders.
