GoKawiilFlox Intelligence develops AI system to prevent animal collisions with trains and planes
Sara Nozkova, a former autonomous vehicle engineer, founded Flox Intelligence to build an AI-based wildlife deterrent system aimed at reducing animal strikes on railways, roads and airports. The system is designed as an alternative to conventional deterrents such as sirens, lights, fences and culling. Nozkova developed the concept after years of studying how existing automated systems struggle to adapt to unpredictable natural environments.
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Wildlife collisions carry significant financial and safety costs, with the FAA estimating $272 million in annual damage to U.S. aviation and France's SNCF citing animal strikes as a leading cause of rail delays. Flox Intelligence's approach suggests a shift toward AI systems trained specifically to interpret complex, living environments rather than fixed, engineered ones. If successful, such technology could reduce both economic losses and animal fatalities, though its real-world effectiveness remains unproven.
- Flox Intelligence is developing AI to deter wildlife from trains, roads and airports.
- Founder Sara Nozkova previously worked 13 years in transportation and autonomous vehicles.
- Wildlife strikes cost U.S. aviation about $272 million annually and disrupt thousands of French trains yearly.
Source: techcrunch.com — Ram Iyer, 2026-10-13
Published there as: “Flox Intelligence is building AI to keep wildlife away from trains, airports, and roads”
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