Interest in Spoor’s bird monitoring AI software is soaring

Oslo-based startup Spoor has developed AI-powered software that uses computer vision to monitor bird populations and migration patterns within a 2.5-kilometer radius using standard high-resolution cameras. This technology helps wind farm operators optimize turbine operations to reduce bird collisions, such as slowing or stopping turbines during peak migration periods. Spoor’s co-founder and CEO, Aske Helseth, was motivated to create the software due to the lack of effective bird tracking tools despite stringent regulations governing wind farm locations and operations. Since its 2024 seed round, Spoor has doubled its detection range and improved bird identification accuracy to about 96%, aided by an in-house ornithologist and expanded species databases across deployments on three continents. Spoor now collaborates with over 20 major energy companies and has attracted interest from other sectors like airports and aquaculture. The company also partners with mining giant Rio Tinto to track bats and is exploring applications for tracking similarly sized objects such as drones, though it is not