Flox Intelligence builds AI to deter wildlife from infrastructure with edge devices
Flox Intelligence, founded in 2020 by Sara Nozkova, develops AI-powered edge devices to deter wildlife from trains, airports, and roads. The system uses on-device models to identify animals via motion sensors and cameras, then emits species-specific sounds to scare them away. Unlike traditional methods like sirens or fences, Flox’s approach adapts based on animal behavior and avoids habituation…
Key points
- Flox Intelligence uses AI edge devices to detect wildlife via cameras and emit species-specific sounds to deter them
- Deployed at 150+ sites globally, including airports, rail corridors, and national parks, with revenue target of $1.5M in 2026
- Company is raising a $10M Series A to scale deployments and expand beyond wildlife applications
Nozkova, who previously worked in autonomous vehicles, argues that current AI systems fail in unstructured environments like nature. Flox’s edge-based solution processes data locally, avoiding cloud dependency, and includes a software platform for monitoring and compliance reporting. Competitors like Robin Radar and iCHASE use similar distress-call or laser-based methods, but Flox claims its advantage lies in extensive field data and broader system capabilities. The company has raised $5 million to date, with investors including Unconventional Ventures and Tilia Impact Ventures.
Flox Intelligence is building AI to keep wildlife away from trains, airports, and roads
TechCrunch AI · 13 October 2026
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