Flox Intelligence is an innovative startup using AI technology to prevent wildlife collisions with critical infrastructure such as trains, airports, and roads. Founded by Sara Nozkova, who previously worked in transportation and autonomous vehicles, Flox developed an edge device system that detects animals through motion sensors and cameras. These devices use species-specific sounds to safely drive animals away, adjusting their deterrent methods to avoid habituation. The system processes data locally, allowing real-time responses and greater effectiveness compared to traditional methods like sirens or fences.

Since spinning out of KTH Royal Institute of Technology in Stockholm in 2020, Flox has deployed about 150 devices across North America, Europe, and Australia. Their installations cover airfields, rail and road corridors, national parks, agricultural land, urban areas, and critical infrastructure like electrical substations. The company combines hardware and software to monitor device deployments and generate reports for regulatory compliance and biodiversity tracking, with ambitions to extend the system to operate on moving platforms like trains and drones.

Flox operates a business model that sells edge units upfront and then charges an annual subscription for software and AI support. They have OEM partnerships, including a notable collaboration with train manufacturer Alstom, to integrate their AI system directly onto vehicles. With roughly $5 million raised in pre-seed and seed funding led by investors such as Unconventional Ventures and Tilia Impact Ventures, Flox plans a $10 million Series A round aimed at scaling from hundreds to thousands of deployed devices and expanding applications beyond wildlife deterrence.

The company competes in a growing field featuring firms like Robin Radar and iCHASE, which also use AI and specialized deterrents to manage animal presence near infrastructure. Flox’s advantage lies in its comprehensive approach and the extensive field data it collects, which informs how different species respond to stimuli in real environments. As physical AI technologies increasingly operate outdoors, Flox positions itself at the forefront of integrating nature intelligence into machine perception, addressing a wide-ranging global challenge of wildlife-infrastructure conflicts.