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Flox Intelligence deploys edge AI to stop wildlife strikes

KTH spinout Flox Intelligence is raising a $10 million Series A round to expand its edge AI hardware system designed to prevent costly wildlife collisions on roads, railways, and airfields.

TechCrunch AI3 days agoBusiness
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Stockholm-based Flox Intelligence, a 2020 spinout from the KTH Royal Institute of Technology, has launched a $10 million Series A funding round to scale its wildlife-deterrent platform. Founded by Sara Nozkova following 13 years in transportation and autonomous vehicles, the startup manufactures battery-powered edge hardware mounted on trees and posts near transit corridors. Equipped with motion sensors, cameras, and local perception models, the devices identify specific animal species and emit varied acoustic responses to prevent habituation. Flox currently maintains roughly 150 active units across North America, Europe, and Australia, spanning airfields, rail crossings, and critical infrastructure.

The technology addresses significant global infrastructure damage. According to FAA estimates, wildlife strikes cost U.S. civil aviation an average of $272 million annually between 1990 and 2025. In France, rail operator SNCF reports over 8,000 annual animal encounters, while Brittany recorded 120 strikes in 2023 alone, causing 660 service disruptions and over 15,000 minutes of delays. Flox generates revenue by selling edge hardware upfront paired with post-year-one annual software subscriptions, while also securing vehicle-integration OEM deals with partners like train manufacturer Alstom. The company targets $1.5 million in revenue by the end of 2026.

Flox has raised roughly $5 million in combined pre-seed and seed funding to date. Its seed round was co-led by Unconventional Ventures and Tilia Impact Ventures, with additional backing from GENIUS NY, Norrsken, Satgana, and angel investors. The fresh $10 million Series A capital will support scaling its physical deployment to several thousand units and broadening its environmental perception stack. Competing against established wildlife control systems such as Robin Radar's Scarecrow and iCHASE's laser-tracking setup, Flox aims to establish its edge hardware and proprietary field data as foundational software for future outdoor autonomous transport, drones, and industrial machinery.

This is our own summary of reporting by TechCrunch AI

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