Interest in Spoors bird-monitoring AI software is soaring

Published: Thursday, December 11, 2025 at 1:00 pm

Bird-Monitoring AI Startup Sees Soaring Demand

A Norwegian startup, Spoor, is experiencing a surge in interest for its AI-powered bird-monitoring software. Launched in 2021, Spoor utilizes computer vision technology to track and identify bird populations and migration patterns, aiming to mitigate the impact of wind turbines on avian life. The software can detect birds within a 2.5-kilometer radius and is compatible with standard high-resolution cameras.

The technology provides wind farm operators with valuable data to optimize turbine placement and operations, allowing them to adjust turbine speeds or halt operations during peak migration periods. This capability is particularly relevant given increasing regulatory scrutiny and the lack of effective tracking methods previously available to the industry.

Spoor's technology has evolved significantly since its inception. Initially capable of tracking birds within a 1-kilometer range, the company has doubled its range and improved bird identification accuracy to approximately 96%. The company employs an in-house ornithologist to train its AI model, enabling it to identify various bird species.

The company's success has led to partnerships with over 20 of the world's largest energy companies across three continents. Spoor is also expanding its reach beyond the wind energy sector, with interest from airports, aquaculture farms, and a partnership with Rio Tinto to track bats.

Spoor recently secured an $8 million Series A funding round, demonstrating investor confidence in its potential. The company's CEO anticipates continued growth in demand for its technology, driven by stricter regulations and the need for sustainable energy practices. The company's mission is to enable industry and nature to coexist.

BNN's Perspective:

Spoor's technology offers a promising solution to the complex challenge of balancing renewable energy development with environmental protection. While the technology is still relatively new, its early success and growing demand suggest a significant role in the future of sustainable energy. The company's expansion into other sectors, such as airports and aquaculture, indicates the broader applicability of its AI-powered monitoring capabilities. This technology could be a key component in the responsible expansion of renewable energy sources.

Keywords: Spoor, bird monitoring, AI, wind turbines, computer vision, migration patterns, renewable energy, sustainability, environmental protection, energy companies, regulatory compliance, bird identification, technology, Series A, wind farms

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