Spotlight on Spot AI’s Iris

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In this newsletter, we’re excited to share that Spot AI has unveiled Iris, the world’s first universal AI agent builder for security cameras, revolutionizing video intelligence for businesses. Whether you’re an employee aiming to enhance your workplace, a fresher curious about AI’s possibilities, an entrepreneur seeking cutting-edge solutions, or an AI enthusiast eager for innovation, this issue is for you. Discover how Iris empowers industries with smarter safety, efficiency, and security!

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Iris revealed as camera game-changer

Spot AI has launched Iris, a trailblazing platform hailed as the world’s first universal video AI agent builder for enterprise camera systems. Designed to democratize advanced video intelligence, Iris lets businesses craft custom AI agents through a simple conversational interface—no coding or machine learning expertise needed.

Unlike traditional surveillance systems that merely record footage, Iris turns cameras into smart agents that monitor, analyze, and act on real-time video data. From spotting safety risks to streamlining operations or bolstering security, Iris tackles unique challenges across industries like manufacturing, logistics, retail, healthcare, and construction.

“What ChatGPT did for text, Iris does for video—making powerful AI capabilities accessible without technical expertise,” said Rish Gupta, CEO and Co-Founder of Spot AI. “Iris empowers anyone to build an AI agent that watches videos and acts on their behalf, from retailers and hospitals to the industrial heart of America.”

Iris builds on Spot AI’s earlier success with out-of-the-box Video AI Agents, launched in Fall 2024. Those prebuilt agents targeted common use cases—workplace safety, security, and operational efficiency—helping firms reduce injuries, curb security risks, and avoid bottlenecks. But businesses often need tailored solutions for specific challenges. Iris delivers that flexibility, allowing users to train AI agents for their unique needs using natural language prompts, ensuring the tool evolves with their operations.

How Iris simplifies powerful AI

One of Iris’s standout features is its ease of use. Spot AI has eliminated the barriers that once made advanced video AI accessible only to organizations with dedicated AI teams. Here’s how Iris delivers powerful results in just a few steps:

1. Conversational interface: Users interact with Iris using plain language, describing what they want the AI to monitor and how it should respond. No coding or technical background is needed.

2. Reinforcement learning: Agents are trained by providing positive and negative examples—typically as few as 20 images. This allows the AI to learn what to detect (e.g., a fluid leak) and what to ignore.

3. Actionable responses: Iris can be configured to trigger real-world actions, such as sending alerts, locking doors, or shutting down equipment, based on what it detects.

4. Scalable deployment: Once built, agents can be deployed across multiple locations and integrated with existing camera systems, ensuring seamless adoption.

According to Spot AI, tasks that previously required 8 weeks of development and thousands of annotated images can now be completed in 8 minutes with Iris. This dramatic reduction in time and complexity puts advanced video AI within reach for businesses of all sizes.

Iris shines in real-world success

Iris is already making waves across industries, helping organizations solve high-impact problems with tailored video intelligence. Below are some inspiring examples of how early adopters are using Iris to enhance safety, streamline operations, and boost security.

Manufacturing success story

Case study: Silver bay seafoods

At Silver Bay Seafoods, production lines are the heart of the operation. Iris has been deployed to detect product backups and fluid leaks in real time. When an issue is identified, the AI automatically triggers alerts or halts operations based on severity, preventing costly downtime and ensuring compliance with safety standards. “Iris has transformed how we manage our production workflows,” said a Silver Bay spokesperson. “It’s like having an extra set of eyes that never miss a thing.”

Warehousing safety boost

Case study: Tidewater fleet supply

In Tidewater Fleet Supply’s distribution centers, Iris monitors for unsafe stacking of pallets and boxes, a common cause of workplace accidents. The AI also flags suspicious activities, such as unauthorized access, helping prevent theft. Since implementing Iris, Tidewater has reported a significant reduction in near-miss incidents and internal losses, improving both worker safety and operational efficiency.

Retail efficiency win

Case study: Bridge33 capital

Managing multiple retail properties comes with challenges, from stock shortages to after-hours security risks. Bridge33 Capital uses Iris to monitor shelf stock levels and detect unauthorized access across its locations. The AI sends timely alerts to store managers, enabling quick restocking and proactive security measures. “Iris has standardized our surveillance and given us actionable insights across our portfolio,” noted a Bridge33 representative.

Education safety priority

Case study: Eureka college

Campus safety is a top priority for Eureka College, where Iris monitors for unusual activity, particularly during nighttime hours. The AI supports student safety protocols by identifying potential risks and enabling faster intervention. “Iris has reduced our incident resolution time and given our team peace of mind,” said a college administrator.

Automotive services streamlined

Case study: Camel express car wash

Customer damage claims used to slow down operations at Camel Express Car Wash. With Iris, the team now monitors vehicles throughout the wash process, quickly retrieving relevant footage when claims arise. This has accelerated dispute resolution and strengthened customer trust, all while minimizing operational disruptions.

Healthcare precision enhanced

Case study: Riverbend medical center

At Riverbend Medical Center, Iris distinguishes staff from patients in similar uniforms and detects falls in real time, alerting teams to ensure swift care. “Iris optimizes our patient flow and safety,” a director said. This reduces manual oversight and enhances care quality, showing Iris’s healthcare potential.

Why Iris transforms your world

The launch of Iris comes at a critical time. With over 100 million surveillance cameras deployed across the U.S., businesses are under increasing pressure to turn passive video feeds into actionable insights. Factors like labor shortages, stricter safety regulations, and rising operational costs are driving demand for real-time video intelligence that’s both powerful and easy to implement.

Unlike competitors like Rhombus, Verkada, and Eagle Eye Networks, Spot AI positions Iris as a uniquely accessible solution. By leveraging natural language and reinforcement learning, Iris eliminates the need for complex engineering, making advanced video AI available to organizations without large budgets or specialized teams.

“Iris transforms how we interact with video data through natural conversation,” said Rish Gupta. “It’s about empowering the people closest to the work—operators, facility managers, and business leaders—to solve problems at scale.”

Why It Matters to You

• Employees: Discover how Iris can streamline your workplace, catching issues like safety hazards or inefficiencies so you can focus on your core tasks.

• Freshers: Explore how easy it is to work with cutting-edge AI tools like Iris—no coding needed, perfect for launching your tech career.

• Entrepreneurs: Imagine integrating Iris into your business to boost security, optimize operations, or create new customer experiences.

• AI enthusiasts: See how Iris pushes video AI forward, turning cameras into smart agents that act in real time—join the AI revolution!

Spot AI’s bold future awaits

Iris is part of Spot AI’s larger mission to bring AI to physical environments, where video data can drive meaningful outcomes. Earlier this year, the company introduced the Remote Security Agent, a system designed to combat retail crime and operational blind spots. By combining AI-driven video analysis with real-time deterrence, the Remote Security Agent distinguishes between routine activities (like deliveries) and high-risk scenarios (like trespassing), raising responses tailored to the situation.

Adopters like zTrip, a North American taxi operator, have reported improvements in fleet security and employee safety after deploying Spot AI’s solutions. These successes underscore the company’s focus on replacing fragmented security tools with scalable, AI-powered systems that adapt to specific business needs.

What’s next for iris and spot AI

Spot AI is already looking ahead, with plans to enhance Iris in the coming months. Upcoming features include:

• API integrations: Enabling seamless connectivity with other enterprise systems.

• Multilingual voice commands: Making Iris accessible to global teams.

• Expanded use cases: Supporting even more industry-specific applications.

The company will showcase Iris at Google Cloud Next, where CEO Rish Gupta will speak during a media roundtable on April 9, 2025. This event marks a milestone for Spot AI, highlighting its growing influence in the enterprise AI space.

Key takeaways

• Universal access: Iris democratizes video AI, allowing businesses to build custom agents without technical expertise.

• Rapid deployment: What once took months now takes minutes, with agents trainable in as little as 8 minutes using 20 images.

• Industry impact: From manufacturing to education, Iris addresses critical challenges with tailored solutions.

• Future-ready: Spot AI’s roadmap includes new features to make Iris even more versatile and globally accessible.

Closing thoughts

The launch of Iris by Spot AI marks a pivotal moment in the evolution of video intelligence. By placing powerful AI tools in the hands of business leaders, Iris is breaking down barriers and unlocking new possibilities for safety, efficiency, and security. As industries continue to navigate complex challenges, tools like Iris offer a path forward—one where technology empowers people to solve problems in real time, right where it matters most.

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