Aarhus-based deeptech firm Cordulus, which creates hyperlocal AI weather forecasts, has raised €6.8 million in a Series A round led by Delphinus Venture Capital, as Vestbee was informed.
- Founded by John Smedegaard, Cordulus is an AI company that develops hyperlocal weather forecasting systems. The firm operates Northern Europe’s largest professional weather station network, collecting millions of real-time data points every day across 22 countries.
- This data feeds proprietary AI models running on high-performance supercomputers, producing forecasts that are on average 63% more accurate than traditional models.
- Cordulus’ technology links physical measurements, including temperature, wind, precipitation, and solar radiation, with machine learning algorithms that continuously improve as new data arrives.
- Initially focused on agriculture, where forecasts optimize fertilization, irrigation, and crop protection, the company is now expanding into the energy market, providing hyperlocal forecasts that support energy trading, risk management, and portfolio optimization, addressing fluctuations in wind and solar conditions that can move markets in real time.
Details of the deal
- The round was supported by Delphinus Venture Capital, which launched an €80 million fund to back research-focused startups from pre-seed to scale-up with long-term, flexible investment, along with Danish Agro, Rockstart, the Pajbjerg Foundation, and several private investors.
"It is very positive that Delphinus Venture Capital is now joining Cordulus. We see great potential in Cordulus' weather solutions across many industries. The company's innovative AI technology and robust weather stations are vital tools for the development of future plant varieties," claims Michael Stevns, Chairman of the Pajbjerg Foundation.
- Cordulus will use the fresh €6.8 million funding to expand into the energy market, where accurate hyperlocal forecasts are essential for risk management, portfolio optimization, and pricing in energy trading. The investment will support the enhancement of AI models through real-world data from its extensive weather station network and enable the company to reach new international customers across industries reliant on reliable weather insights, extending its technology beyond agriculture.
