Coram AI Raises $35M Series B as Physical Security Becomes an Intelligence Problem
Coram AI has raised $35M in Series B funding, co-led by Ansa Capital and Battery Ventures, with participation from UP.Partners, 8VC, and Mosaic Ventures. The Sunnyvale, California-based company has now raised $66M total and reports deployments across more than 1,500 locations.
Founded by CEO Ashesh Jain and CTO Peter Ondruska, Coram AI is building an AI-native physical security platform that connects video security, access control, visitor management, emergency response, and operational intelligence into a single system.
The funding matters because physical security is rapidly becoming a data problem. Cameras, access logs, sensors, and visitor systems generate enormous volumes of information, but many organizations still investigate incidents through fragmented workflows and manual review.
The broader implication extends well beyond security. Coram AI represents a growing class of companies using AI agents to transform operational systems from passive record keepers into active intelligence platforms.
What Happened
Coram AI announced a $35M Series B round led by Ansa Capital and Battery Ventures, with participation from UP.Partners, 8VC, and Mosaic Ventures, bringing the company's total funding to $66M. Founded by Ashesh Jain, Co-Founder and CEO, and Peter Ondruska, Co-Founder and CTO, Coram AI is building an AI-native physical security platform designed to unify video security, access control, visitor management, emergency response, and operational intelligence into a single system.
The founders' backgrounds help explain why investors continue leaning into the company. Both Ashesh Jain and Peter Ondruska built careers in autonomy, robotics, computer vision, and artificial intelligence systems before launching Coram AI. Their experience focused on helping machines understand physical environments, a capability that now sits at the center of Coram AI's approach to security infrastructure. Battery Ventures previously led Coram AI's $13.8M Series A, creating continuity between the company's early growth phase and its latest financing milestone.
Security investigations remain surprisingly manual despite decades of technological advancement. A single incident can require teams to sift through footage, access logs, visitor records, and multiple disconnected systems. Coram AI's thesis is straightforward: organizations already possess the data needed to understand what happened; the challenge is finding it quickly enough to matter.
Why This Matters
The physical security industry has accumulated an enormous amount of technology while still relying on workflows that often feel stuck in a different era. Organizations have invested heavily in cameras, access-control systems, alarms, and monitoring infrastructure, yet investigations frequently remain reactive and labor intensive. Hardware improved, storage expanded, and data volumes exploded, but many operational processes changed very little.
Coram AI is targeting that disconnect by bringing video security, access control, visitor management, and emergency management into a unified platform designed to accelerate investigations and improve decision-making. Its Deep Investigation capability allows users to submit natural-language prompts and analyze video, access logs, visitor activity, and operational data across locations, reducing the time required to identify relevant information.
The broader significance extends beyond physical security. Across enterprise software, successful AI companies are increasingly focused on reducing operational friction rather than generating novelty. Buyers care about outcomes: faster response times, lower operational overhead, improved visibility, and reduced risk. Physical security happens to be one of the largest environments where those gains remain available.
Market Context
Physical security remains one of the largest technology markets still operating across fragmented systems. Cameras, access-control platforms, visitor management software, alarms, and monitoring tools often come from different vendors and rarely function as a coordinated intelligence layer. Many organizations have spent years building processes around those limitations rather than solving them.
At the same time, computer vision, natural-language interfaces, and AI agents have matured rapidly. That convergence has created an opportunity for platforms that connect previously isolated systems and transform raw operational data into actionable intelligence. Coram AI sits directly at the intersection of enterprise software, physical security, computer vision, operational intelligence, and AI agents, categories that are increasingly converging as organizations seek more value from existing infrastructure.
Rather than forcing customers into expensive replacement projects, Coram AI is designed to work with existing IP camera infrastructure while running AI workloads on edge AI. That approach helps organizations maintain control over sensitive video data while improving search, investigation, and response capabilities. Enterprises rarely want to replace thousands of functioning cameras; they want those cameras to become smarter.
Competitive Landscape
Coram AI operates in a market attracting attention from AI startups, security incumbents, and enterprise software providers alike. Yet the competitive advantage is increasingly shifting away from access to AI models themselves. Models are becoming more available across the industry, making workflow integration and operational usability more important differentiators.
Organizations do not purchase security software because they enjoy managing security software. They invest in solutions that help teams investigate incidents faster, reduce blind spots, improve visibility, and strengthen operational awareness. The companies capable of delivering those outcomes consistently are the ones most likely to establish durable market positions.
Coram AI reports deployments across more than 1,500 locations, indicating that the company has progressed beyond experimentation and into real-world operational adoption. The company says its platform serves organizations across sectors including education, logistics, manufacturing, and enterprise environments, providing evidence that demand extends beyond a single vertical.
What This Signals
Coram AI's Series B reflects more than investor enthusiasm for security technology. It signals growing confidence in AI systems designed to operate within physical environments, a category that remains significantly less crowded than many consumer and software-centric AI markets.
Much of the AI discussion over the past several years has focused on content generation, coding assistants, customer support automation, and workplace productivity tools. Those markets are important, but they are also becoming increasingly competitive. Physical operations represent a different opportunity because factories, schools, healthcare facilities, logistics centers, municipalities, and commercial properties generate enormous amounts of data that remain underutilized.
By backing Coram AI, investors including Ansa Capital, Battery Ventures, UP.Partners, 8VC, and Mosaic Ventures are effectively making a broader bet that operational intelligence will become a foundational layer across physical environments, not merely a feature inside traditional security products.
The Bigger Industry Shift
Many of the most important technology shifts begin with a simple realization: organizations already have more data than they know what to do with. Security cameras record events, access-control systems generate logs, visitor platforms track movement, and sensors capture activity continuously. Collecting information is no longer the challenge.
The next phase of enterprise software is increasingly focused on interpretation. Organizations want systems capable of understanding what happened, identifying why it happened, and helping determine what should happen next. That transition moves physical security beyond monitoring and into intelligence, creating opportunities for platforms that can connect previously disconnected sources of information.
Coram AI's $35M Series B is ultimately a bet on that future. Investors are funding the idea that operational intelligence belongs inside existing infrastructure rather than alongside it, while customers appear increasingly willing to adopt technologies that transform security systems from passive record keepers into active sources of insight. The remaining question is not whether this shift is coming. The remaining question is how quickly the rest of the market catches up.
