Coram AI raises $35M to deploy autonomous agents that investigate security footage in minutes

Coram AI Secures Series B Funding to Transform Physical Security

Coram AI has raised $35 million in Series B funding co-led by Ansa Capital and Battery Ventures, with participation from UP Partners, 8VC, and Mosaic Ventures1

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. The $35 million funding round brings the San Francisco-based physical security startup's total capital to $66 million1

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. Founded four years ago by Ashesh Jain, formerly head of autonomy at Lyft's self-driving division, and Peter Ondruska, who led AI research at Lyft before joining Toyota's Woven division, Coram AI applies autonomous vehicle perception technology to building security2

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. The company now operates at more than 1,500 locations across the US and Canada, including Fortune 500 companies, school districts, healthcare providers, and municipalities2

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Deep Investigation Software Deploys AI Agents for Security Cameras

The core innovation behind Coram AI is its Deep Investigation software, which deploys autonomous detectives that analyze security data in plain language queries1

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. These AI agents for security cameras search months of video, entry records, and visitor data across hundreds of cameras and sites, delivering reports in minutes rather than the hours traditionally required1

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. The platform integrates AI-driven video surveillance, access control, visitor logs, and emergency response into a single interface2

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. Jain explained that most physical security systems remain reactive, merely recording incidents rather than flagging them, and that the same AI perception advances used in autonomous vehicles can shift security operations toward proactive security2

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Edge Computing and Privacy Claims Meet Surveillance Reality

Coram AI emphasizes privacy through on-premise deployment, running AI models on local NVIDIA chips at the edge so sensitive video never leaves the building for cloud processing1

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. The software works with existing IP cameras, avoiding costly hardware replacements1

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. However, the same platform offers facial recognition, license-plate reading, tailgating detection, and live weapon detection capabilities being deployed in schools, churches, and workplaces1

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. One Dallas megachurch uses the system to monitor 30,000 worshippers across eight campuses, while a high school implemented real-time weapon detection1

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. The tension between safety and surveillance intensifies when autonomous agents can investigate independently across every camera and door, essentially creating systems that constantly watch and draw their own conclusions1

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Rapid Growth and Industry Transformation Ambitions

Since its $13.8 million Series A round last year, Coram AI claims to have quadrupled revenues and tripled its customer base2

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. The new funds will accelerate product development, expand go-to-market and customer success teams, and grow the company's engineering presence in Bengaluru, which serves as a key hub for building its global platform2

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. Allan Jean-Baptiste of Ansa Capital noted that physical security represents one of the largest industries yet to be transformed by modern AI security, with incumbents largely selling cameras and dashboards rather than autonomy1

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. Coram AI positions itself as part of a wave attempting to become the operating system for specific industries by wrapping AI agents around them, betting that every building will eventually run hundreds of agents in the background1

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. According to Jain, the return on investment extends beyond monetary benefits to include increased proactive security, compliance with standards like OSHA, and reduced insurance costs2

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