Danish AI success secures million-dollar investment: Hyper-local weather forecasts go global

Aarhus-based Cordulus, the leading provider of AI-based weather solutions in Northern Europe, has just secured a DKK 22 million investment from Danish Agro and the Pajbjerg Foundation. The company offers advanced weather data and has created an AI-powered weather model that can predict the weather with unprecedented accuracy. This investment will now enable a faster expansion of the company’s weather solutions into new markets.

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“We are proud of the continued support from our investors who show confidence in our long-term vision. This round ensures that we can scale quickly as the market for weather-based AI solutions grows. At a time when many companies are holding back on investments, we see this round as a strong sign of a solid future for Cordulus,” says Cordulus CEO John Smedegaard in a press release.

As the weather becomes increasingly extreme and unpredictable, a growing number of businesses are affected. This has created a high demand for detailed weather insights and forecasts that take into account local microclimates.

Hyperlocal weather forecasts with AI

Cordulus has been using artificial intelligence for several years to deliver hyperlocal weather forecasts that the company claims are now 50% more accurate than traditional methods. This is achieved by integrating and analyzing a wide range of data sources such as satellite imagery and radar, while receiving millions of weather measurements daily from their own network of weather stations, which with over 4000 active units is the largest in Northern Europe.

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AI is reshaping meteorology by enabling analysis of the vast amounts of weather data being observed in ways that were previously impossible.

“We are currently witnessing a global transformation where AI-based weather technologies are opening up new opportunities. We are pioneers in this development and see great potential in bringing our data analytics and forecasting tools to new industries and markets where detailed, frequently updated weather forecasts create great value. We help companies manage weather-related risks, reduce resource consumption and lower their carbon footprint. It is through AI that we can position ourselves as a key player in the green economy of the future,” says John Smedegaard.

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