The Good Tech Companies - How Teodor Calin’s New Company, Vulture Labs, Is Making Every Camera Proactive

Episode Date: November 27, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/how-teodor-calins-new-company-vulture-labs-is-making-every-camera-proactive. Romanian engineer and researcher Teodor Calin is the co-founder of Vulture Labs, a start-up that’s turning ordinary cameras into intelligent systems. Check more stories related to futurism at: https://hackernoon.com/c/futurism. You can also check exclusive content about #spatial-computing, #teodor-calin, #vulture-labs, #intelligent-systems, #video-footage, #camera-tech, #ai-cameras, #good-company, and more. This story was written by: @stevebeyatte. Learn more about this writer by checking @stevebeyatte's about page, and for more stories, please visit hackernoon.com. Romanian engineer and researcher Teodor Calin is the co-founder of Vulture Labs, a start-up that’s turning ordinary cameras into intelligent systems.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. How Teodor Kalin's new company, Vulture Labs, is making every camera proactive, by Steve Byatt. Cameras are everywhere in our shops, warehouses, train stations, and even our homes. They record millions of hours of footage every day, but most of them just record and watch us passively. They don't understand what they're seeing. Teodor Kalin wants to change that. The Romanian engineer and researcher is Thiko founder of Vulture Labs, a startup that's turning ordinary cameras into intelligent systems that can interpret and act on what they observe. Right now, cameras are reactive, Callin says.

They show you what happened after the fact. We're making them proactive, able to understand and respond in real time. Here, Teo talks us through the premise for his new company, and what he says to the people who say it's impossible. Meet Vulture Labs, the company changing cameras. Vulture Labs build software that can interpret video footage and provide insights the moment something happens. Instead of relying on people to review hours of recordings, its technology analyzes live feeds, detects meaningful events, and notifies users instantly. The concept is straightforward. Take the cameras that already exist and make them smarter. Most businesses already have camera networks, Callin explains. They don't need new hardware. They need

awareness. We bring intelligence to what's already there. The software uses computer vision, the field of AI that enables machines to, see, to identify actions, patterns, and anomalies. It can distinguish between ordinary and unusual movement, recognize interactions, and understand context. In a warehouse, for instance, it might notice if a worker has entered a restricted area or if equipment is left idle. In a shop, it can spot when customers are waiting too long or when staff are disengaged. When it detects something worth attention, it sends an alert, a message, or our report. The system doesn't just record, Callan says. It interprets. That's the key difference. The research paper at the core of the business. The foundation of Vulture Labs work

lies in academic research. Kalinko authored a paper titled, Thirdi, Q-aware, monocular depth estimation via brain-inspired multi-stage fusion. A study that proposes a way to extract depth and 3D spatial data from flat, two-dimensional images. The problem the research addresses has long challenged computer vision experts. Traditional depth estimation requires stereo cameras, litter sensors, or specialized hardware. Callin's work shows that it can be achieved with ordinary cameras through clever use of context cues and AI models inspired by how the human brain processes visual information. We realized you could understand a scene, not just what's in it, but how farthings are, how they relate, without extra sensors, he says. That means any camera can become spatially

aware. This approach is what makes Vulture Labs product so scalable. It doesn't really in new installations or expensive equipment. The intelligence lives in the software, not the device. How Vulture Labs is seeing things in the real world. Vulture Labs is already working with clients across several industries. In retail, its technology helps managers understand customer engagement and staff activity. In manufacturing and warehousing, it provides live monitoring of workflow, safety, and productivity. In logistics and transport, it improves visibility across complex operations. Think of it as giving your business a set of intelligent eyes, Callin says. You get real-time awareness of what's happening in your environment.

That's what we call spatial intelligence. Because it uses existing infrastructure, the solution is cost-effective and fast to deploy. Companies can unlock new insights from the cameras they already own, instead of replacing entire systems. The software also integrates with messaging platforms, enabling what Callan calls, on-demand context. Users can ask questions like has anyone entered this zone today and receive visual answers powered by the systems AI.

But is all this actually possible? Vulture Labs team describes itself as research-driven and resilient. Kalin admits that the company has faced tens of technical blockers, but says overcoming them as part of its DNA. Most people say, that's impossible. We hear that almost every week, Hellafs. But that's exactly where we thrive. When you're solving problems that haven't been solved before, uncertainty becomes normal.

That attitude has attracted attention beyond the tech sector. Callant was recently invited to speak at the Rail Freight Summit 2025, where he discussed how AI-based perception systems could make freight terminals safer and more efficient. It's exciting to see traditional industries becoming more open to AI, he says. They're realizing AI is all about giving them better awareness and decision-making tools. Our future looks like a more aware world. Despite the naysayers, Vulture Labs continues to grow across Europe, with clients ranging from small retailers to large logistics operators. The company's ambition is to bring spatial

intelligence to every connected camera in every industry. For Callan, the goal is simple. Make technology more observant, more contextual, and more useful. Awareness is the next step in AI, he says. Machines can now already recognize objects and people. Now they need to understand why something matters. He pauses, then adds, if we can teach cameras to be proactive, we're one step closer to teaching the world to see itself better. This article is published under Hackernoon's business blogging program. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit hackernoon.com to read, write, learn and publish.