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Flox Intelligence is building AI to keep wildlife away from trains, airports,and roads
Flox Intelligence is developing an AI-based wildlife deterrent system to prevent collisions with trains, airports, and roads. Founded by Sara Nozkova, the technology uses on-site processing to identify animal behaviors and emit species-specific sounds to disperse wildlife, countering traditional methods. The company aims to deploy thousands of units globally, enhancing safety and reducing infrastructure damage by 2026.
Key points
- Flox Intelligence was inspired by wildlife collisions that damage transport infrastructure.
- The system employs AI to adaptively respond to different animal behaviors rather than using traditional methods like sirens or fences.
- The current setup includes about 150 deployed devices in various regions across North America, Europe, and Australia.
- Flox's technology processes data on-site through edge devices, improving response time and flexibility in deterrent methods.
- The company has secured approximately $5 million in funding and is opening a $10 million Series A round to scale the technology.
Why it matters
- Wildlife strikes are a significant issue costing civil aviation in the U.S. an estimated $272 million annually.
- Technological advancements, such as AI in autonomous vehicles, highlight the need for systems that can adapt to complex, natural environments.
- The rise of ecological monitoring technologies aligns with 2025 IT trends focusing on environmental sustainability and conservation.
Flox Intelligence's innovative approach to wildlife deterrence highlights the intersection of technology and ecology, promising to reduce wildlife-related infrastructure damage significantly while paving the way for AI to function effectively in natural settings.