Investment & Fund Management
backed by the European Investment
Full Credential Description
Jua, a Berlin-based startup founded in May 2022, faced significant challenges in the realm of weather forecasting, particularly the limitations of traditional methods that provided only general geographic area information. Co-founder Andreas Brenner highlighted the need for more precise forecasts tailored to specific customer needs, such as determining optimal fertilizer application for fields or predicting energy production for wind farms. This gap in the market prompted the team to explore advanced solutions.
To address these niche issues, Jua developed a global weather forecasting system entirely based on machine learning, which they launched in January 2023. This innovative platform utilizes tens of millions of primary data points to deliver weather predictions with remarkable accuracy and speed. The shift to machine learning not only enhances the precision of forecasts but also aims to improve weather resiliency and climate adaptation, particularly in sectors like agriculture, energy, and insurance.
The impact of Jua's solution is significant, especially considering that half of the world's population lacks access to reliable weather forecasts. By providing timely and accurate predictions, Jua contributes to efficiency gains across various industries and supports economic growth. The company primarily serves the European power and energy sectors but has aspirations to extend its benefits to developing countries, reflecting its commitment to global impact.
To facilitate its growth and transition from a lab prototype to a commercially viable product, Jua secured equity investment from Orbital Ventures, backed by the European Investment Fund (EIF). This funding was crucial for scaling their operations and enhancing their product development efforts. With a team of 22 employees, Jua is positioned to revolutionize weather forecasting and meet the growing demand for precise weather information in an increasingly unpredictable climate.