Flox Intelligence, a spinout from the AI lab at KTH Royal Institute of Technology in Stockholm, is opening a $10 million Series A to scale its AI-powered wildlife deterrent system for roads, railways, airports and other infrastructure. The startup is a finalist in this year’s Startup Battlefield 200 competition at TechCrunch Disrupt.
Founded by Sara Nozkova, who spent 13 years working in transportation and autonomous vehicles, Flox builds edge devices that process data on-site rather than in the cloud. A motion sensor triggers a camera that uses on-device models to identify nearby animals, after which the device emits a species-appropriate sound to drive them away. Nozkova said the system learns from experience and varies its responses so animals do not become habituated.
About 150 devices are deployed across North America, Europe and Australia, at sites including airfields, rail corridors, national parks and electrical substations. Flox also offers a monitoring software platform and has OEM partnerships, including with train maker Alstom, to run its software on vehicles. It expects revenue of about $1.5 million in 2026.
Nozkova said physical AI is moving into the outdoors and that machines such as trains, drones and robots will need to understand nature. Flox has raised about $5 million so far, with its seed round led by Unconventional Ventures and Tilia Impact Ventures. The Series A will fund growth to several thousand units and expansion beyond wildlife use cases.
Featured image: Credit: Flox Intelligence
