Many industries face significant risks and operational challenges due to the increasing frequency and intensity of extreme weather events, while existing weather forecasting solutions often lack the accuracy and customization needed to make informed decisions. Traditional weather models may not capture localized variations or provide the specific parameters required for diverse applications.

Climavision addresses these challenges with its Horizon AI suite, which combines high-resolution weather radar data, advanced numerical weather prediction (NWP) models, and generative AI to deliver hyper-accurate and customizable weather forecasts across all time horizons. By assimilating billions of novel observational data points and leveraging proprietary AI bias correction, Climavision's models provide granular insights into evolving weather conditions. The platform offers a range of forecasting products, including global, subseasonal-to-seasonal (S2S), point, and high-resolution models, tailored to meet the unique needs of various industries. Climavision's approach enables businesses and government agencies to mitigate risks, protect assets, and optimize operations with confidence. The company also supplements existing radar coverage with its own network to provide real-time streaming radar data for more complete coverage at lower atmospheric levels.

Horizon AI Global: High-resolution global forecasts that assimilate billions of novel observational data points into advanced NWP models.

Horizon AI S2S: Subseasonal and seasonal weather models updated daily, offering granular accuracy powered by AI and historical data.

Horizon AI Point: Site-specific weather forecasting system with proprietary data inputs and AI bias correction.

Horizon AI HIRES: Hyper-local and asset-level predictions for customized insights to optimize operations.

Customizable API: Enables easy integration into standard and in-house weather intelligence platforms.

High-resolution wind forecasts up to 100 meters above ground level (AGL) for renewable energy applications.

Proprietary, interpretable neural networks that achieve up to 50% higher accuracy compared to other models like ECMWF.

Daily updates and point-based downscaling for granular data on localized weather events.

Extreme weather analysis to identify the probability and potential impacts of severe events.

Climavision serves a diverse range of industries, including agriculture, aviation, commodity trading, energy utilities, government, insurance, media, and transportation & logistics, as well as energy traders requiring precise weather insights.