Flox Intelligence Seeks $10M Series A for Wildlife-Deterrent Edge AI Platform

Stockholm-based startup Flox Intelligence is opening a $10 million Series A funding round as it scales edge hardware designed to prevent wildlife collisions across transportation networks and infrastructure, according to reporting by TechCrunch AI .

Wildlife intrusions represent a persistent operational and financial liability for transit operators. According to the Federal Aviation Administration, wildlife strikes cost U.S. civil aviation an average of $272 million annually between 1990 and 2025. In France, national rail operator SNCF reports that wandering animals disrupt more than 8,000 train runs annually, representing one of its top five sources of delays. In Brittany alone, 120 animal collisions in 2023 affected 660 services and caused more than 15,000 minutes of delays.

Flox founder Sara Nozkova spent 13 years working in transportation and autonomous systems before concluding that conventional deterrents—such as fixed sirens, lights, fencing, falcons, and culling—routinely fail as animals habituate to static cues. After researching adaptive deterrent mechanisms at the AI lab of Sweden's KTH Royal Institute of Technology, Nozkova spun out Flox in 2020.

The startup builds battery-powered edge devices mounted on trees, poles, and other perimeter fixtures. When an integrated motion sensor detects movement, an onboard camera activates computer vision models running locally on the device to classify the species. The unit then emits a species-appropriate acoustic signal to disperse the animal, varying the output over time to prevent habituation.

Flox currently operates approximately 150 live units across North America, Europe, and Australia. Installations span airport perimeters, rail and road corridors, national parks, agricultural sites, mining operations, and electrical substations. The company sells hardware units upfront and charges an annual software subscription covering device monitoring, compliance reporting, and biodiversity tracking. It also licenses its software to original equipment manufacturers, including train builder Alstom, to embed wildlife perception directly into vehicles.

Flox faces established specialized competitors, such as Robin Radar’s Scarecrow, which uses recorded avian distress calls, and iCHASE, which pairs computer vision with automated lasers to deter birds. Nozkova argues Flox's defensibility lies in its multi-species behavioral dataset collected across varied real-world environments.

To date, Flox has raised approximately $5 million across pre-seed and seed rounds. Its seed round was co-led by Unconventional Ventures and Tilia Impact Ventures, with backing from GENIUS NY, Norrsken, Satgana, and angel investors. The company expects to generate roughly $1.5 million in revenue in 2026 and plans to use the Series A capital to grow its deployed footprint to several thousand units and expand its software stack to additional industrial perception applications.