Coram AI builds software that turns existing cameras, doors, and visitor logs into one AI-powered physical security system.
That makes Coram AI funding worth paying attention to. The California-headquartered startup has raised a $35 million Series B co-led by Ansa Capital and Battery Ventures. The company wants to move security teams beyond after-the-fact video reviews and toward AI-led investigations.
Co-founder and CEO Ashesh Jain, an IIT Delhi alumnus, started Coram around 2022. He describes the company’s core belief simply: most security tools “just record what happened.”
The new funding will support AI product development, go-to-market expansion, and customer success efforts. Coram also plans to expand its engineering footprint in Bengaluru and hire across AI, software engineering, and product development.
What does Coram AI actually sell?
At the product level, Coram is now much more than an AI video search tool. The company sells a unified physical security platform that combines video security and access control. It also covers emergency management and guest management in one system. A customer can keep existing IP cameras, connect them to Coram, and then search footage or site activity in plain English instead of scrubbing timelines by hand. More than 1,500 locations already run on that platform, and Coram’s architecture works without a costly camera rip-and-replace.
The newest piece is Deep Investigation, which is basically Coram’s pitch for autonomous security work. A user asks a multi-step question in natural language — across cameras, access events, locations, and time windows — and the system reconstructs what happened. It builds a synthesized timeline and returns an evidence-backed answer or shareable report. That’s a lot closer to an analyst workflow than a traditional video management system.
Coram’s other modules fill in the rest of the building. Its access-control product links door events to live and recorded video, so admins can pull up the clip tied to a badge event from the same dashboard. Guest management runs on iPads at entry points, captures visitor info, and can verify a driver’s license in under 2 seconds. It prints badges and alerts hosts automatically. Tailgating alerts tie access-control events to camera footage, so the system can flag when more people passed a door than the valid credential events would suggest.
There’s also a technical angle here that investors clearly like. Coram’s edge devices run current AI models on NVIDIA GPUs where the data is generated, which lets customers use more advanced AI without sending sensitive video to the cloud. That won’t solve every privacy debate around workplace and school surveillance. But it gives Coram a cleaner answer than vendors that ask buyers to replace hardware first and sort the architecture questions later.
Who founded Coram AI and how has the company grown?
The founding story
Coram was started about 4 years before this June 2026 fundraise, which puts the company’s founding around 2022. Jain’s argument is simple: physical security is still reactive, and teams waste hours reviewing footage, access logs, and disconnected systems after something has already gone wrong. Coram’s answer is to centralize those workflows in one AI-native platform instead of making security staff bounce between siloed tools.
That origin story also shows up in Jain’s own wording. He said, “Most security systems just record what happened,” and only later might someone find the incident after a manual search. That’s not just marketing copy. It’s the core complaint behind the product.
Why Ashesh Jain fits this market
The clearest window into Jain’s background comes from his own explanation of why Coram exists. He said Coram’s team spent years building AI that helped cars “read a scene and act before someone gets hurt,” and now they’re applying that same logic to schools, hospitals, and workplaces. So the founder-market fit here isn’t traditional security-industry pedigree. It’s perception AI, computer vision, and decision systems brought into physical infrastructure.
He also looks deeply involved in the product side, not just the fundraise side. Since 2023, Jain has authored technical posts tied to Coram’s AI-first roadmap, including work around GPT-powered support and intelligent video search. He’s also written about authenticity checks for AI-generated media. That matters because Coram isn’t trying to win on camera hardware alone. It’s trying to win on how intelligence sits on top of that hardware.
Traction and fundraising details
Coram has posted a 4x jump in revenue and tripled its customer base since raising its $13.8 million Series A last year. Since that earlier round, it has expanded from a video-security product into a broader platform spanning video, access control, emergency management, and visitor management. The June 2026 Series B lifts total funding to $66 million.
Ansa Capital and Battery Ventures co-led this new round, with participation from UP.Partners, 8VC, and Mosaic Ventures. Coram will put the capital toward AI product work, bigger go-to-market and customer-success teams, and a larger engineering base in India. The Bengaluru office is a big part of that plan, with hiring slated across AI, software engineering, and product development.
How does Coram AI compare with Verkada, Ambient.ai, and older systems?
Coram isn’t alone here. Verkada sells a cloud-managed physical security stack that combines enterprise video security and access control, and it has built AI directly into its own cameras. Ambient.ai is pitching “agentic physical security,” with real-time monitoring and advanced forensics. It also focuses on threat detection and alarm correlation between video and access systems. Those are serious, well-defined competitors.
Coram’s differentiation is less about being the only AI story and more about deployment posture. It keeps hammering on compatibility with existing IP cameras, unified workflows across video and doors, and a model architecture that runs locally on edge hardware. In one customer case, Coram beat alternatives including Spot AI because buyers preferred its open platform and scalability. Against old-school incumbents, the pitch is even clearer: fewer portals, less manual review, and no need for someone to sit on-site just to make the system useful.
Why does Coram AI funding matter right now?
A lot of startup rounds are just runway extensions with a nicer press release. This one feels more tied to an actual product inflection.
Since the Series A, Coram has already stretched from AI video search into access control, emergency workflows, guest management, and now Deep Investigation. So the Series B isn’t about proving there’s a wedge. It’s about seeing whether that wedge becomes a full operating layer for physical security teams. The use of funds lines up with that: more product depth, more customer-facing muscle, and more engineering capacity in India to ship faster.
Investor language tells you what they think they’re buying. Allan Jean-Baptiste of Ansa Capital called physical security “one of the largest industries yet to be transformed by modern AI,” and said Coram’s founders combine frontier AI expertise with conviction about where the market is headed. Strip away the VC polish, and the thesis is pretty clear: buyers don’t just want better cameras anymore. They want systems that can interpret, summarize, and escalate without a human doing every step.
Is the market big enough for Coram AI?
Yes. And it’s not a niche bet.
Grand View Research estimates the global video surveillance market was worth $83.48 billion in 2025 and projects it will reach $204.68 billion by 2033, an 11.7% CAGR from 2026 to 2033. Its separate forecast for AI in video surveillance is even steeper: $6.51 billion in 2024, rising to $28.76 billion by 2030 at a 30.6% CAGR. That gap matters. It suggests the overall market is huge, but the AI-heavy slice is where spending is accelerating fastest.
The tech shift also favors companies like Coram. IP video systems already held more than 55.7% of market revenue in 2025, and cloud-based surveillance adoption is rising because buyers want remote access and less infrastructure drag. They also want scalability. That doesn’t guarantee Coram wins. But it does explain why a startup promising AI on top of existing hardware, instead of a painful rebuild, can get attention now.
What to watch after Coram AI funding
The real test after Coram AI funding isn’t whether the company can add one more AI feature. It’s whether Deep Investigation, access control, guest management, and emergency response start behaving like one sticky operating system for buildings instead of a bundle of adjacent tools.
Watch 3 things next. First, whether Bengaluru hiring speeds up product releases. Second, whether Coram keeps landing bigger multi-site customers without forcing hardware replacement. Third, whether this “autonomous security agent” story translates into durable revenue growth, not just sharp demo moments.
Read how Equal AI raised a $30M Series B led by Prosus Ventures and Tomales Bay Capital to turn call screening into an AI-powered assistant that answers unknown calls, understands intent, and helps users manage conversations before they pick up.
FAQ
- What is Coram AI funding and who backed the round? Coram AI funding refers to the startup’s new $35 million Series B round announced in June 2026. Ansa Capital and Battery Ventures co-led the round, and it brings Coram’s total funding to $66 million.
- How does Coram AI work for physical security teams? Coram AI works by connecting existing IP cameras, door systems, alerts, and visitor activity into one platform. Teams can search video in plain English, investigate incidents across time and locations with Deep Investigation, and tie access or guest events directly to video evidence.
- Who founded Coram AI? Ashesh Jain co-founded Coram AI and serves as CEO. He’s an IIT Delhi alumnus, and his own description of the company points to a background in AI systems that helped cars interpret scenes and respond before harm occurred, which carries straight into Coram’s security-first product design.
- Is Coram AI a video surveillance company or a broader security platform? It’s broader now. Coram started from AI-enhanced video security, but by June 2026 it had expanded into access control, emergency management, and guest management, which puts it in the wider physical security platform category rather than a single-purpose surveillance tool.
