Coram AI Raises $35 Million Series B to Modernize Physical Security with Autonomous Agents
Physical security AI platform Coram AI has raised $35 million in a Series B funding round**, bringing its total capital raised to **$66 million. The round was co-led by Ansa Capital and Battery Ventures, with participation from existing investors UP.Partners, 8VC, and Mosaic Ventures .
The fresh capital will be used to accelerate AI product development, expand go-to-market and customer success teams, and scale its engineering presence in Bengaluru—which the company views as a key hub for building next-generation AI technologies powering its global platform .
📊 At a Glance: Coram AI’s Series B
| Metric | Details |
|---|---|
| Amount Raised | $35 million (Series B) |
| Total Funding | $66 million |
| Lead Investors | Ansa Capital, Battery Ventures |
| Other Participants | UP.Partners, 8VC, Mosaic Ventures |
| Revenue Growth | 4x since Series A (2025) |
| Customer Growth | Tripled since Series A |
| Sites Served | 1,500+ (US & Canada) |
| Key Customers | Hershey’s Ice Cream, 1-800-GOT-JUNK?, World YMCA, Lakepointe Church, Fortune 500s |
| Bengaluru Office | Expanding engineering team (AI, software, product development) |
🧠 From Autonomous Vehicles to Physical Security
Coram AI was co-founded by Ashesh Jain (IIT Delhi alumnus, former head of autonomy for Lyft’s self-driving division and engineering leader at Zoox) and Peter Ondruska (former head of AI research at Lyft and Toyota’s Woven division) .
After years of building AI systems that help autonomous vehicles understand the physical world and prevent accidents before they happen, they recognised an opportunity to apply the same technology to physical security—an industry that remains heavily dependent on manual monitoring and fragmented software .
“Most security systems just record what happened. Only later, after a manual search, might you find the incident. We spent years building AI that helps cars read a scene and act before someone gets hurt. The same approach protects the places people live and work: catch risks earlier, and keep schools, hospitals, and workplaces safer instead of just documenting what went wrong.”
— Ashesh Jain, Co-founder & CEO, Coram AI
🛠️ How Coram AI Works
Modern physical security teams face increased threats, fewer staff, and more systems to track. Video, access control, visitor logs, and emergency response sit in separate tools—investigating one incident means stitching them together manually .
Coram centralises these workflows in a single AI platform, without requiring teams to replace the cameras and infrastructure they already own .
Key Differentiators:
🔍 Deep Investigation: Autonomous Security Agents
Alongside the funding announcement, Coram AI introduced Deep Investigation, a new AI-powered capability that moves beyond text-based video search to autonomous security agents .
These agents can:
- Analyse video, access events, and visitor activity across cameras, locations, and time
- Answer complex security and operational questions with evidence attached
- Reduce investigations that previously took hours or weeks to just minutes
The tool lets customers ask questions in plain language (including via ChatGPT or Claude). For example:
- A school can find every fight on campus over the past month, pull clips with student faces blurred, and generate a report
- A warehouse can analyse how long trucks are parked at loading docks or identify peak facility usage times
“AI coding agents have already reshaped software engineering. We are bringing the same shift to physical security.”
— Ashesh Jain
🏢 India Expansion: Bengaluru Engineering Hub
Coram AI is expanding its engineering presence in India, particularly in Bengaluru, which the company views as a key hub for building its global platform .
Hiring plans include:
- AI research engineers
- Software engineering and product development
- Go-to-market and customer success teams
The Bengaluru office will serve as a critical centre for building next-generation AI technologies powering Coram’s global platform .
📈 Traction and Growth Metrics
Coram’s rapid growth validates market demand for AI-native security solutions:
| Metric | Value |
|---|---|
| Revenue (since Series A) | 4x increase |
| Customer Base (since Series A) | Tripled |
| Sites Served | 1,500+ across US & Canada |
| Industry Verticals | Education, healthcare, manufacturing, government, hospitality, retail, Fortune 500 |
“Physical security is one of the largest industries yet to be transformed by modern AI. Coram’s rapid growth demonstrates that organisations are looking for more than cameras and monitoring tools. They want intelligence that helps them operate more safely, efficiently, and proactively.”
— Allan Jean-Baptiste, Co-founder & Managing Partner, Ansa Capital
🔮 The Bigger Picture: Physical AI as an Emerging Category
Coram AI is part of a broader wave of physical AI startups—companies bringing AI into systems that act in the real world. Global venture capital investment in robotics and physical AI has grown from approximately $4 billion in 2019 to $26 billion in 2025, according to PitchBook data .
The sector has already raised more than $23 billion in the first half of 2026 alone . Investors are betting that physical security—a massive industry still dominated by legacy camera and dashboard providers—is ripe for transformation through autonomous AI agents.
