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Flox Intelligence Deploys Edge AI to Keep Wildlife Away From Infrastructure

The Stockholm-founded startup says its devices have logged more than 60,000 wildlife events across 27 species and are used by more than 60 operators.

Wildlife detection device beside railway tracks at dawn / TokenPost.ai
Wildlife detection device beside railway tracks at dawn / TokenPost.ai

Flox Intelligence is rolling out battery-powered AI equipment that identifies nearby animals and emits customized sounds intended to steer them clear of transportation networks and other critical sites.

As of Sept. 22, Flox’s system had logged more than 60,000 wildlife events across 27 species and was being used by more than 60 operators. Flox Edge combines motion detection, an onboard camera and artificial intelligence classification, then responds in less than two seconds with species-specific deterrence.

Each device handles about 1,800 events per battery charge. Because processing occurs on the device, the system can operate at locations with limited connectivity, including airports, railways, roads, farms, energy sites, conservation areas and public land.

U.S. civil aircraft were involved in about 24,500 wildlife strikes at 870 airports in 2025. From 1990 through 2025, U.S. civil aircraft recorded about 344,000 wildlife strikes, with projected costs averaging about $272 million annually. Birds accounted for 96% of reported strikes, while deer and coyotes were the most frequently struck nonbird species.

Flox is positioning the technology as a nonlethal alternative or supplement to fences, lights, sirens and other wildlife-management measures. “Wildlife cannot read a warning sign. So we talk to animals in a language they already understand,” Flox Intelligence said.

The company was spun out of an artificial intelligence research lab at KTH Royal Institute of Technology in Stockholm in 2020. Flox Edge has a range of up to 50 meters and was being demonstrated with 20 units alongside the Swedish Transport Administration in November 2025.

Flox is also testing the system along Swedish rail lines with Alstom, Tåg i Bergslagen and operator VR. The field tests use AI cameras and tailored audio signals to identify and deter moose, roe deer, foxes and wild boar, among other species.

“For so many years, we have been fighting wildlife — but what if we could communicate with them instead?” Sara Nozkova, CEO and co-founder of Flox Intelligence, said.

Flox announced a $4 million seed round on Feb. 25, led by Tilia Impact Ventures with participation from Satgana, GENIUS NY, J.O.S.S., Unconventional Ventures and Almi Invest. The funding is intended to support deployments in North America and expansion across airports, rail corridors, roads and industrial sites.

Flox is raising a Series A round in early 2027.

Simon Yoon

Reporter

Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.

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