Flox Intelligence is building AI to keep wildlife away from trains, airports, and roads
techcrunch ·
Flox Intelligence is developing an AI-driven wildlife deterrent system designed to protect infrastructure such as trains, airports, and roads from animal collisions. Founded by Sara Nozkova after witnessing the limitations of traditional methods like sirens and fences, the company utilizes edge devices that identify specific species and emit appropriate sounds to scare them away without causing habituation. The system processes data on-site using computer vision models trained on wildlife behavior, ensuring privacy and efficiency. Currently deployed in North America, Europe, and Australia across various sites including airfields and rail corridors, Flox has approximately 150 active units. The startup expects to reach $1.5 million in revenue by the end of 2026 and has raised about $5 million in pre-seed and seed funding. It is now seeking a $10 million Series A round to scale deployments and expand its technology beyond current use cases. Flox competes with other firms like Robin Radar and iCHASE but claims its moat lies in its comprehensive field data and adaptable response mechanisms.
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