Coram raises $35M for AI security, reaching $66M total despite a crowded market
The Bay Area startup uses existing cameras and badges to detect incidents sooner, and now bets on “Deep Investigation.”

Coram AI cofounders Ashesh Jain and Peter Ondruska raised a $35 million Series B, bringing total funding to $66 million. The round, co-led by Ansa Capital and Battery Ventures, expands Coram’s AI physical security platform used by 1,500+ sites across the US and Canada.
Coram AI just pulled in $35 million in Series B funding, pushing its total capital raised to $66 million, and it’s doing it in a security market that already has big, well-funded players. More than 1,500 sites use Coram today, including Hershey's Ice Cream and school districts, and the company says its AI helps security teams spot incidents and respond faster by connecting cameras, badge readers, visitor logs, and emergency systems.
CEO Ashesh Jain frames the mission as a shift in what security cameras are for: most are only useful after something has gone wrong. Coram wants to flip that with AI that can surface and investigate events as they happen, and the new funding is meant to expand sales and product development as demand grows.
This is the basic bet behind Coram's approach. Instead of asking organizations to rip and replace hardware, Coram “helps organizations use the security equipment they already have.” In practice, the platform ingests inputs from multiple physical-security systems and then uses AI to find incidents. That matters because physical security is messy by design. You can have cameras, badge readers, and visitor logs all capturing different angles of the same event, yet security teams often have to manually reconcile it after the fact. Coram’s pitch is that it can reduce that manual work by turning raw footage and logs into something closer to searchable, answerable intelligence.
The company is also leaning into the wider surge in “physical AI,” meaning AI systems that operate in the real world rather than just on a screen. Venture capital investment in global robotics and physical AI has grown from around $4 billion in 2019 to $26 billion in 2025, according to PitchBook data. So far this year, companies in the space have raised more than $23 billion. Coram’s $35 million Series B fits neatly into that trend, but it also highlights how quickly the funding environment can reward teams that show they can deliver practical outcomes for customers, not just prototypes.
Coram is not operating in a quiet, uncontested lane. Verkada, valued at $5.8 billion, suffered a major breach in 2021 when hackers accessed more than 150,000 live customer cameras, including inside hospitals and schools. Other competitors include Motorola Solutions' Avigilon and Eagle Eye Networks. In other words, physical security is both high stakes and highly visible. When an attacker can turn cameras into a liability, buyers start asking hard questions about access control, monitoring, and what happens when systems fail. Coram’s growth signals that at least some customers are ready to deploy AI on top of existing infrastructure, but the broader market scrutiny means every new deployment comes with reputational risk.
Coram’s internal growth story is part of why investors are showing up. Founded in 2022, the startup says its revenue has grown fourfold since its $13.8 million Series A last year, and its customer base has tripled. Jain also says the new funds will be used to expand its sales team and invest in product development, which is a classic “scale the go-to-market, deepen the product” move when adoption is already starting to show. For the board and decision-makers looking at the physical AI space, this matters because it suggests Coram believes it has traction worth funding further, not just a slide deck worth investing in.
Coram is also introducing features aimed at turning security data into something like an interactive analyst. The startup is rolling out a new product called Deep Investigation. Jain describes it as a tool that lets customers ask questions of the security platform, accessible through tools like ChatGPT or Claude. For example, Jain says a school could ask Coram to find every fight on campus over the past month, identify patterns, pull clips with student faces blurred, and generate a report. A warehouse customer could ask how long trucks are parked at loading docks or when a facility is busiest. The company’s goal is to deliver the equivalent of a sophisticated data science team, answering in minutes questions that would otherwise require more staff and hours of manual review.
Coram says it’s also seeing specific traction with school districts. Jain says Coram can detect a firearm, automatically alert 911, and help trigger a campus lockdown. That line is important because it moves the conversation from “better search” to “faster response,” which is where budgets tend to expand. Meanwhile, Coram’s ambition extends beyond cameras and buildings. Jain envisions a future in which Coram’s software works with robot dogs and potentially humanoids to help protect properties, saying “Every building will have robotic security,” as part of the company’s mission. Whether robots arrive soon or not, the implication for peers is clear: the center of gravity in physical security is shifting from passive recording to active interpretation.
For investors and operators watching this space, the fundraising detail is only half the story. Coram is raising from a credible lineup, with the round co-led by Ansa Capital and Battery Ventures and participation from UP.Partners, 8VC, and Mosaic Ventures, though the company declined to share its valuation. During fundraising, UP.Partners' Ally Warson visited Coram’s Sunnyvale office while the software was running on security cameras as her team walked in. Jain invited Warson to ask the software questions in any language, and Warson described asking in French to pull up people entering the office wearing white shoes with a blue stripe, watching it translate French into English and pull up photos of the people entering.
If you’re a founder, operator, or board member evaluating physical AI, Coram’s Series B lands with a practical message: buyers are using AI to connect the systems they already own, ask questions about what happened, and speed up incident handling. In a market defined by both competitive pressure and high-profile security failures, Coram’s bet is that “detect and investigate” can become the default workflow, not the extra upgrade after the damage is done.
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