Oslo-based startup Spoor, launched in 2021, is rapidly gaining traction with its innovative AI-powered computer vision software designed to mitigate the environmental impact of wind turbines on bird populations. The company recently announced an €8 million ($9.3 million) Series A funding round, signaling strong investor confidence in its proven technology and expanding market demand.
The funding round was led by SET Ventures, with participation from Ørsted Ventures and Superorganism, alongside other strategic investors. This capital injection will fuel Spoor's mission to enable coexistence between industry and nature, solidifying its position as a leader in environmental technology.
Addressing a Critical Environmental Challenge
Wind energy, while crucial for a sustainable future, presents a significant challenge: the potential harm to local bird populations. Many countries enforce strict regulations on wind farm placement and operation due to wildlife concerns, yet effective monitoring solutions have historically been lacking.
"The expectations from the regulators are growing, but the industry doesn't have a great tool," stated Aske Helseth, co-founder and CEO of Spoor, in a previous interview. "A lot of people go out in the field with binoculars and trained dogs to find out how many birds are colliding with the turbines."
Spoor's software offers a sophisticated alternative. Utilizing advanced computer vision, it tracks and identifies bird populations and migration patterns within a 2.5-kilometer (approximately 1.5 miles) radius. The system is compatible with any off-the-shelf high-resolution camera, making it accessible and scalable.
Enhanced Accuracy and Broad Applications
Since its inception, Spoor has continuously refined its technology. At the time of its seed funding in 2024, the system's tracking range was 1 kilometer, which has now doubled. Through extensive data collection and model training, the company has achieved an impressive 96% accuracy in bird identification.
Helseth highlights the importance of species-specific identification:
"Identifying the species of the bird for some of the clients adds another layer. We have an in-house ornithologist to help train the model for new types of birds or new species. Having deployments in other countries means having rare species in the database."
This detailed data empowers wind farm operators to make informed decisions, such as optimizing turbine placement or temporarily slowing or stopping turbines during peak migration periods, thereby significantly reducing bird collisions. The urgency of such solutions is underscored by recent events, like French regulators shutting down a wind farm in April due0 to its impact on local bird populations and imposing substantial fines.
Expanding Beyond Wind Energy
Spoor's impact is already global, with operations across three continents and partnerships with over 20 of the world's largest energy companies. The versatility of its computer vision technology is also attracting interest from other sectors, including airports and aquaculture farms.
Notably, Spoor has partnered with London-based mining giant Rio Tinto to track bats, demonstrating the broader applicability of its system for diverse wildlife monitoring needs. While the company has received inquiries about tracking other objects of similar size, such as drones, Helseth indicates a focused approach for now.
Looking ahead, Helseth anticipates a surge in demand for such environmental monitoring technologies as regulatory scrutiny on industries intensifies.
"Our mission is to enable industry and nature to coexist," Helseth affirmed. "We have started on that journey, but we are still a small startup with a lot to prove. In the coming years, we want to really cement our position in the wind industry and become a global leader to tackle these challenges. At the same time, we want to build some proof points that this technology has value beyond that main category."
