Product Manager

Coram AI raises $35M series B to automate security investigations. The startup, founded by former Lyft and Zoox engineers, has grown to more than 1,500 sites since its Series A and is launching an investigation tool that automates multi-source security analysis. Redação Portal ERP Jun 11, 2026 T | Fonte: 18px Coram AI, a physical security software company whose platform connects cameras, access-control systems and visitor records into a unified interface, has raised $35 million in a Series B round co-led by Ansa Capital and Battery Ventures. UP.Partners, 8VC and Mosaic Ventures also participated. The round brings total funding to $66 million, following a $13.8 million Series A. The company was founded by Ashesh Jain and Peter Ondruska, both of whom spent years building AI systems for autonomous vehicles before shifting to physical security. Jain previously led autonomy engineering at Lyft's self-driving division and held engineering roles at Zoox, the autonomous vehicle company. Ondruska led AI research at Lyft and later joined Toyota's Woven division after Toyota acquired Lyft's self-driving technology in 2021. Their work on autonomous vehicles centered on training systems to interpret physical environments in real time, and Coram's approach draws on that background. Since the Series A, the company reports that revenue has grown fourfold and its customer base has tripled. The platform now operates across more than 1,500 sites in the United States and Canada, covering Fortune 500 companies, school districts, healthcare providers, manufacturers, municipalities and nonprofits. Named customers include 1-800-GOT-JUNK?, Hershey's Ice Cream, World YMCA and Lakepointe Church. Jain described the gap the company was built to address: "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." Alongside the funding, Coram announced a new feature called Deep Investigation. Rather than requiring security staff to search through footage manually, the tool analyzes video feeds, access-control logs and visitor activity across locations and time periods, then surfaces findings with supporting evidence. The feature is designed to let a smaller security team cover more ground without adding headcount. Allan Jean-Baptiste, co-founder and managing partner at Ansa Capital and a Coram board member, framed the investment in terms of where he sees the physical security market heading: "Physical security is one of the largest industries yet to be transformed by modern AI. Coram's founders bring a rare combination of frontier AI expertise and deep conviction about where the market is headed. Their rapid growth demonstrates that organizations are looking for more than cameras and monitoring tools. They want intelligence that helps them operate more safely, efficiently, and proactively." Marcus Ryu, a partner at Battery Ventures, pointed to the data model as the basis for the platform's capabilities: "Coram AI's hardware-enabled software anchors intelligence in first-party data to deliver capabilities far beyond what traditional security systems can offer. We're enthusiastic to deepen our partnership with the Coram team with this Series B investment." Two customers offered specific accounts of how the platform operates in practice. Hershey's Ice Cream, whose facilities produce millions of gallons of ice cream annually for nationwide distribution, uses Coram across its properties. Stephen Hoffer, the company's IT director, said the system has changed staffing requirements: "Coram's AI capabilities mean there is no live person required to watch footage all day. The system works in the background, so our staff can focus on their actual jobs." Zach Waite, VP of production development at Hershey's Ice Cream, added: "It's one of the best investments we've made in food safety and employee safety across our properties." Lakepointe Church, which operates eight campuses in the Dallas area and serves more than 30,000 congregants, also uses the platform. Bill Crowsey, the church's director of information technology, said: "I would recommend Coram because we have seen great benefits in the features of AI with their system, also the ease of deployment, as well as just the overall gain and efficiency from a technology standpoint." Redação Portal ERP. Editorial Team

Coram AI, a Bay Area startup turning existing security cameras into AI-powered detection systems, has raised $35 million in Series B funding, bringing total capital raised to $66 million. The round was co-led by Ansa Capital and Battery Ventures, with participation from UP.Partners, 8VC and Mosaic Ventures. Founded in 2022 by former Lyft and Zoox autonomous vehicle engineers Ashesh Jain and Peter Ondruska, Coram connects cameras, badge readers and emergency systems, using AI to help security teams identify and respond to incidents faster. The company has grown revenue fourfold since its Series A last year. More than 1,500 sites across the US and Canada use Coram, including schools, churches and businesses. The startup is rolling out Deep Investigation, a tool that lets customers query security footage through ChatGPT or Claude.