Hakimo is an AI security platform that plugs into existing camera systems and turns passive video feeds into real-time monitoring. The Menlo Park startup has raised $12 million in a growth round led by existing backer Zigg Capital, with Neotribe Ventures, Vertex Ventures, Defy.vc, and Rocketship.vc also participating. Physical security teams still spend too much time reacting late, sorting through noisy alerts, or staffing rooms full of people to watch screens. Founded in early 2020 by Sam Joseph and Sagar Honnungar, Hakimo is betting that computer vision can do a lot of that work faster and at a lower operating cost.
What is Hakimo's AI security platform and how does it work?
Hakimo’s AI security platform sits on top of a customer’s existing surveillance stack rather than forcing a rip-and-replace camera upgrade. It connects to current camera infrastructure and analyzes live feeds with computer vision. Then it flags relevant events and pushes those alerts into a monitoring workflow built for security teams. The product lineup includes AI Operator, Forensic Search, facial recognition, an insights dashboard, a mobile app, mobile surveillance units, and SOC-as-a-service offerings.
The practical workflow is pretty simple. A property operator keeps the cameras they already have. Hakimo’s software watches those feeds in real time and identifies events tied to use cases like remote guarding, access-control monitoring, and weapon detection. Then it routes the signal into action instead of leaving it buried in hours of video. That’s the core pitch: less dead screen-watching, more response.
Its newest feature, AI-Powered Forensic Search, handles the ugly part of security work that usually happens after an incident. Users can type natural-language queries such as a person in a red shirt or a red car in a parking lot. Then they can narrow results by camera, location, and time range. The system combines computer vision, event detection, and semantic search so teams can pull key moments from hours or days of footage in seconds, without expensive on-prem server gear.
That changes the before-and-after experience a lot. Before Hakimo, an operator or investigator might scrub footage manually, camera by camera, hoping to catch the right frame. After Hakimo, the video becomes searchable and the live feed becomes an alerting surface. And because the platform is built around existing hardware, the customer pitch is less about buying cameras and more about getting more out of the cameras already mounted on the wall.
Who built Hakimo's AI security platform?
The founding story
Hakimo started in early 2020 after Sam Joseph and Sagar Honnungar saw 3 trends colliding at once: camera hardware was getting cheaper, camera quality was improving, and AI models were getting good enough to understand more than motion blobs. Joseph has said the idea sharpened after visits to global security operations centers, where he saw how much physical security still depended on humans staring at monitors and handling too much noise. That gap — lots of cameras, not much actionable intelligence — became the business.
Why the founders fit this category
Joseph wasn’t a random founder chasing an AI angle. Before Hakimo, he was an AI researcher at Stanford, and his academic background includes IIT Madras and Stanford engineering work. Honnungar, Hakimo’s CTO, studied at IIT Madras and Stanford too, then worked at Rubrik, where he helped build a cloud-native data protection product before moving full-time into the startup. That mix matters. Physical security is messy, but the technical challenge underneath it is still a hard software problem: computer vision, distributed systems, cloud delivery, and reliable alerting.
Early execution and traction
Hakimo is long past the demo stage. The product is live, revenue tripled over the last 12 months, and its customer base has grown to more than 300. It also doubled its team in that stretch and posted a third straight year of 3x revenue expansion. Customers span Fortune 500 companies and real estate operators. It also serves commercial properties and verticals such as multifamily, hospitality, self-storage, universities, and automotive.
A few operating signals stand out in those numbers. Hakimo is monitoring millions of square feet of real estate around the clock, and some customers have reported up to a 60% reduction in security incidents after deployment. The company also argues that one operator can cover areas that used to require as many as 10 operators. That's a bold efficiency claim. It's also the clearest explanation for why buyers are taking these meetings.
The funding stack and what this round adds
This new round brings Hakimo’s total funding to $32 million. Before it, the company had raised a $4 million seed round and a $10.5 million Series A, with earlier backers including Neotribe Ventures, Rocketship.vc, Defy.vc, Vertex Ventures, Zigg Capital, RXR Arden Digital Ventures, and Gokul Rajaram. The new money is earmarked for faster product development and expansion into new geographies and verticals. It will also fund team growth and a broader push into adjacent workflows like safety, compliance, and customer experience.
Competition and market positioning
Hakimo doesn’t operate in an empty category. Direct and adjacent rivals include AI-first physical security companies such as Ambient.ai and cloud-native camera vendors like Verkada and Eagle Eye Networks. It also faces narrower point products such as ZeroEyes or Omnilert for weapon detection. The old incumbent alternative is even more basic: guards, GSOC operators, legacy video management systems, and post-incident footage review that’s slow and expensive.
Hakimo’s angle is different from the camera-stack vendors because it’s selling intelligence on top of existing hardware, not mainly a new hardware estate. It’s also different from narrow point solutions because it’s trying to cover live monitoring, investigations, and operational workflows in one system. Zigg is backing that AI-plus-services model and the promise of better economics at an accessible price point.
Why are investors backing an AI security platform like Hakimo?
The short answer is that this round funds product breadth, not just survival. Hakimo wants to push deeper into real estate, expand into other verticals, and move beyond pure security into safety, compliance, and customer experience. That’s ambitious. It also means this round is about turning a strong use case into a wider operating platform.
For customers, the appeal is straightforward: better coverage without adding headcount and better investigations without hunting through footage for hours. For investors, the thesis is tied to a nasty but durable problem — rising guard costs, labor shortages, and lots of buildings already packed with underused cameras. If Hakimo can keep proving ROI while staying compatible with existing infrastructure, that’s a stronger story than selling a fresh hardware overhaul every time.
But there’s a risk here too. Expanding from security into compliance and customer experience can open new revenue lanes, yet it can also blur the product if the core monitoring stack isn’t excellent. The next phase isn’t just about adding features. It’s about showing that Hakimo can widen the platform without losing the thing that got it here in the first place.
How big is the AI video surveillance market?
It’s a large market already, and it’s still growing fast. Grand View Research projects the global video surveillance and VSaaS market will reach $148.68 billion by 2030, growing at a 12.5% CAGR from 2024 to 2030. On the broader side, the global physical security market is projected to reach $216.43 billion by 2030, with a 6.5% CAGR from 2025 to 2030. That’s the macro setup behind deals like this one.
Why now? Because the infrastructure is finally there. IP cameras are widespread. Cloud delivery is normal. And buyers want something better than motion alerts and archived footage. There’s also a wider Physical AI story taking shape beyond security. Neocambrian AI launched an India-focused robotics data factory in May 2026. Human Archive raised $8.2 million to collect real-world training data for robotics. Bengaluru-based Mowito raised $3 million in a pre-seed round led by Version One Ventures to help industrial robots learn by demonstration instead of code. Hakimo isn’t a robotics company, but it is riding the same shift toward AI systems that act on the physical world, not just summarize it.
Final take on Hakimo's AI security platform
Hakimo’s new financing looks less like a flashy AI round and more like a bet that physical security finally has a software-upgrade cycle worth paying for. The company already has real customers, a clear pain point, and a product story that doesn’t depend on swapping out existing hardware.
Read how Gradium raised a $100M seed extension with backing from Nvidia to build ultra-low-latency voice AI infrastructure for real-time speech applications, multilingual translation, and enterprise voice agents.
FAQ
- What funding did Hakimo just raise? Hakimo raised $12 million in a growth funding round announced on July 8, 2026. Zigg Capital led the round, and the raise brought the Menlo Park company’s total funding to $32 million as it scales product, hiring, and market expansion.
- How does Hakimo’s platform work? Hakimo works by connecting AI software to a customer’s existing camera setup and turning video feeds into real-time alerts and searchable security data. Its stack now includes live monitoring tools and a natural-language Forensic Search feature that can pull relevant clips from recorded footage in seconds.
- What is Sam Joseph and Sagar Honnungar’s background? Sam Joseph and Sagar Honnungar founded Hakimo in early 2020 after working in Stanford’s AI orbit and spotting an opening in physical security. Joseph came from AI research at Stanford, while Honnungar brought a mix of AI and cloud systems experience, including time at Rubrik, plus degrees from IIT Madras and Stanford.
- Why is physical security AI attracting investors? Investors are backing this category because the underlying market is huge and the current workflows are still expensive, manual, and noisy. With the video surveillance and VSaaS market projected at $148.68 billion by 2030 and the broader physical security market at $216.43 billion by 2030, startups that can improve coverage and lower response costs have a real wedge.
