Flox Intelligence, a startup spun out of KTH Royal Institute of Technology in 2020, is commercializing an AI-based wildlife deterrent for infrastructure operators. Its edge devices use motion sensors and on-device cameras to identify animals, then emit sounds tailored to the species and situation. The company says the system varies its responses over time to prevent animals from becoming habituated.
Founder Sara Nozkova, who previously worked in transportation and autonomous vehicles, started the company after seeing how wildlife strikes disrupt trains and planes. The source notes that the FAA estimates wildlife strikes cost U.S. civil aviation about $272 million a year on average, and France's SNCF says wandering animals affect more than 8,000 trains annually. Flox sells its hardware upfront and charges an annual software subscription after the first year, with OEM partnerships such as train manufacturer Alstom.
Flox currently has about 150 devices live in North America, Europe, and Australia, and expects to end 2026 with roughly $1.5 million in revenue. The company has raised about $5 million to date and is now opening a $10 million Series A to scale to several thousand deployed units and expand beyond wildlife use cases. It faces competition from Robin Radar's Scarecrow and iCHASE's laser system, but Nozkova argues that Flox's differentiator is its breadth and the field data it has collected on what actually moves animals safely.