During their booth visits, the TaiyangNews team stopped by Solargis, a Slovakia-based provider of solar and meteorological data, along with advanced software solutions for project performance evaluation and forecasting. A brief conversation with Marcel Suri, CEO and Co-founder, offered insights into the company’s strategy, recent advancements, and new offerings at Intersolar Europe 2025.
Suri explained that, leveraging over 15 years of experience as a traditional data provider, Solargis has expanded its portfolio to include advanced software services. These are now widely used for energy system design, energy yield calculations, and long-term performance predictions. To meet the growing complexity in energy system design, driven by technologies like bifacial PV modules and smart trackers operating on increasingly challenging terrains, Solargis software is engineered to manage evolving technical demands. It addresses multiple issues such as exposure to variability, extreme weather, and changing site conditions. According to Suri, the fusion of high-resolution data with physics-based modeling enables predictive assessments of project risks, including underperformance and potential weather-related damage.
Role of AI & ML
As a weather data provider, Solargis relies heavily on fundamental physics, both in collecting raw meteorological data and in physics-based energy simulations that convert weather inputs into electricity, explained Suri. However, a certain level of uncertainty still exists in the data, which can be reduced by integrating machine learning on top of the physical models. While Solargis is actively exploring the use of AI, Suri emphasized that developing a reliable, globally scalable solution takes time. For example, training a model for a certain geography might work well for India but not for other climate zones, added Suri.
Accuracy of data
According to Suri, combining technologies that are well understood at the lab scale with real-world geographical conditions introduces a great deal of uncertainty. He reiterated Solargis’s core mission: to develop and apply models capable of delivering trustworthy results across a wide range of geographic environments—from the deserts of Saudi Arabia to the rainforests of Brazil.
Suri emphasized that while there is a growing trend toward developing more complex models powered by high-performance computing and enhanced physical modeling, it is essential to ensure that the input data can support such sophistication. These technological advancements allow for deeper insights into system design, benefiting both technical and financial stakeholders. For instance, hybrid systems (PV + storage) must be evaluated not only from an engineering standpoint but also in the context of business models considered by financial teams. Suri added, the industry is experiencing a shift—from basic, low-level numerical modeling toward high-performance simulations that offer entirely new insights, not just for individual projects but across entire portfolios.
New Offering
At the exhibition, the company also introduced its latest service, SOLARGIS EVALUATE, a software platform offering high-resolution granular data and tools to address critical datasets such as weather variability, risk analysis, and more.
