Key information
Flox Intelligence, a startup spun out of KTH Royal Institute of Technology in 2020, is developing AI-driven systems to prevent wildlife collisions with infrastructure like trains, airports, and roads. Founder Sara Nozkova aims to move beyond traditional deterrents like sirens or fences by utilizing perception systems that identify specific animals and adapt responses to prevent habituation.
The company’s edge devices use motion sensors and on-device cameras to process data locally. Once an animal is identified, the system emits species-appropriate sounds. Nozkova notes that the AI learns from field experience, providing what she describes as ground truth regarding animal behavior. The system also includes a software platform for monitoring deployments and generating regulatory reports.
Currently, approximately 150 Flox devices are active across North America, Europe, and Australia in locations including airfields, rail corridors, and mining sites. While the company faces competition from firms like Robin Radar and iCHASE, Nozkova emphasizes the breadth of Flox’s collected data as a key differentiator. The startup has secured partnerships with manufacturers like Alstom to integrate its software onto vehicles.
Flox operates on a business model involving upfront hardware sales and annual software subscriptions. Having raised $5 million in previous rounds, the company is now seeking $10 million in Series A funding to scale its deployment to several thousand units and expand its technology beyond current wildlife applications.
