Coram AI's $35M Haul: Why Proactive AI is Security's Next Big Bet

📊 Key Data
  • $35M Series B Funding: Coram AI secures $35M, bringing total capital to $66M.
  • Market Growth: Physical security sector projected to reach $200B by 2035.
  • Customer Reach: Serving over 1,500 sites across North America.
🎯 Expert Consensus

Experts would likely conclude that Coram AI's funding and rapid adoption signal a pivotal shift toward proactive, AI-driven security solutions, validating the industry's move away from reactive surveillance systems.

5 days ago
Coram AI's $35M Haul: Why Proactive AI is Security's Next Big Bet

Coram AI's $35M Haul: Why Proactive AI is Security's Next Big Bet

SUNNYVALE, CA – June 11, 2026 – In the world of industrial transformation, capital flows toward inflection points. The physical security sector, a colossal market valued at over $147 billion, is in the midst of such a moment. The announcement that Coram AI has secured a $35 million Series B funding round is more than just another headline; it's a powerful indicator that the industry is finally shifting from a passive, reactive posture to an active, intelligent one. This infusion, co-led by Ansa Capital and Battery Ventures, brings Coram’s total raised capital to $66 million and signals a deep investor conviction that the future of security isn't about more cameras, but smarter software.

For decades, physical security has been a frustratingly fragmented and retrospective discipline. A patchwork of video recorders, access control logs, and visitor management systems operated in silos, generating mountains of data that were rarely useful until after an incident occurred. Investigating a breach meant painstakingly stitching together disparate feeds and logs—a manual, time-consuming process that often yielded too little, too late. Coram AI is challenging this obsolete model by building an AI-native platform designed not just to record events, but to understand and anticipate them.

The End of Passive Surveillance

The fundamental problem Coram AI aims to solve is the inherent limitation of traditional surveillance. As co-founder and CEO Ashesh Jain states, "Most security systems just record what happened. Only later, after a manual search, might you find the incident." This reactive loop leaves organizations perpetually on the back foot, able to document failure but not prevent it. The market is ripe for disruption, with projections showing it could swell to over $200 billion by 2035, driven by the demand for intelligent, integrated solutions.

Coram's approach is to centralize these disparate workflows into a single platform that works with the infrastructure customers already own. This hardware-agnostic strategy is a critical differentiator in a market where competitors like Verkada often lock customers into proprietary hardware ecosystems. By allowing organizations to layer intelligence on top of their existing cameras, Coram dramatically lowers the barrier to modernization.

The company is now pushing the envelope further with its new "Deep Investigation" capability. This isn't just a souped-up search function; it's a move toward autonomous security agents. The system can independently analyze video, access events, and visitor activity across multiple locations and timeframes to answer complex questions like, "Show me every time this unauthorized vehicle entered a loading dock across all our sites in the last month." By providing answers with evidence attached, it transforms investigations that once took hours or weeks into a matter of minutes. This is the same paradigm shift that AI coding agents are bringing to software engineering, now applied to the physical world.

From Self-Driving Cars to Safer Campuses

To understand Coram AI’s unique advantage, one must look at its origins. The company was founded by Ashesh Jain and Peter Ondruska, alumni of the hyper-competitive world of autonomous vehicle development. Jain previously led autonomy at Lyft’s self-driving division and was an engineering leader at Zoox, while Ondruska headed AI research at Lyft and later at Toyota’s Woven division after it acquired Lyft’s self-driving unit. This background is not incidental; it’s the core of their thesis.

"We spent years building AI that helps cars read a scene and act before someone gets hurt," Jain explains. "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." The AI that can interpret complex road scenarios, predict pedestrian behavior, and prevent accidents is precisely the kind of technology needed to understand the dynamic environments of a corporate campus, a school, or a manufacturing plant.

This cross-pollination of elite AI talent from the automotive sector into physical security is a powerful validation of the market opportunity. Investors have taken note. "Coram's founders bring a rare combination of frontier AI expertise and deep conviction about where the market is headed," said Allan Jean-Baptiste, co-founder and managing partner at Ansa Capital. "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."

The Market Validates the Model

Investor enthusiasm is backed by hard performance metrics. Since its Series A round last year, Coram AI has quadrupled its revenue and tripled its customer base, now serving over 1,500 sites across North America. The client roster is notably diverse, spanning Fortune 500 enterprises, large school districts, healthcare providers, and well-known brands like 1-800-GOT-JUNK? and Hershey's Ice Cream.

This broad adoption underscores the platform’s tangible ROI. For Hershey's Ice Cream, the benefits are clear. "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,” said IT director Stephen Hoffer. Zach Waite, the company’s VP of production development, called it "one of the best investments we've made in food safety and employee safety."

Similarly, Lakepointe Church, a Texas megachurch with eight campuses, uses the platform to secure its facilities for over 30,000 congregants. "I would recommend Coram because we have seen great benefits in the features of AI with their system, also the ease of deployment," noted Bill Crowsey, director of information technology. This hardware-agnostic ease of deployment is a recurring theme, reinforcing its strategic importance.

Marcus Ryu, general partner at Battery Ventures, highlighted the platform's technical strength, stating, "Coram AI's hardware-enabled software anchors intelligence in first-party data to deliver capabilities far beyond what traditional security systems can offer." As Coram uses its new capital to aggressively expand its sales force and continue R&D, its ability to navigate the challenges of data privacy, integration complexity, and the ethical use of AI will be paramount. As Coram AI deploys its new capital, its success will not only be measured in revenue growth but in its ability to prove that intelligent, proactive security can be both powerful and responsible.

📝 This article is still being updated

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