Flox Intelligence uses AI to keep wildlife off tracks and runways

Traditional methods like fences, sirens, and falcons often fail because they lack the nuance to handle the unpredictability of nature. After 13 years in autonomous vehicle development, Nozkova realized that machines designed for controlled urban environments go blind when faced with the chaotic, living world. Flox, which spun out of Stockholm’s KTH Royal Institute of Technology in 2020, addresses this by using on-device vision models that process data locally.

When a motion sensor detects activity, the device identifies the species and emits a targeted sound, varying its response to prevent animals from becoming desensitized. Currently, 150 units are active across North America, Europe, and Australia in settings ranging from airport perimeters and rail corridors to mining sites. The company operates on a hardware-plus-subscription model, with major partnerships including a deal with train manufacturer Alstom. While competitors like Robin Radar and iCHASE exist, Nozkova believes her company’s proprietary data on animal behavior provides a distinct advantage. With $5 million already raised, the firm is seeking a $10 million Series A to scale its deployment to thousands of units and integrate its nature-intelligence software into a broader range of autonomous machines.