Salient is a cutting-edge weather prediction company that focuses on subseasonal-to-seasonal (S2S) forecasting, offering highly accurate predictions for 2 to 52 weeks into the future. By leveraging advanced machine learning algorithms and vast climate data sets, Salient's forecasts are based on current global ocean and land-surface conditions, which provide a more nuanced understanding of future weather patterns. Originally founded by scientists from MIT and Woods Hole Oceanographic Institution, the company’s technology is used by various industries, including agriculture, energy, and finance, to optimize decisions, manage risks, and plan operations. Salient's predictions help businesses anticipate environmental changes that impact supply chains, crop yields, energy demand, and commodity prices. The company offers its services through an API and other decision-support tools, making its predictions easily accessible and actionable.

XDI Systems provides advanced climate risk analysis solutions designed to assess the physical impacts of climate change on assets, infrastructure, and supply chains. Their platform uses high-resolution climate models and data from the CORDEX downscaling project to simulate potential future risks. By utilizing various Representative Concentration Pathways (RCPs), XDI allows users to stress-test assets under different climate scenarios, from worst-case emissions (RCP 8.5) to best-case mitigation pathways (RCP 2.6). This helps organizations understand the long-term impacts of climate change, including extreme weather events like flooding, heatwaves, coastal inundation, and wildfires. Their tools are invaluable for financial institutions, corporations, and governments seeking to manage and mitigate climate-related risks. XDI’s comprehensive models allow for tailored assessments, offering detailed insights into how specific locations or assets may be affected by changing climate conditions.

Solcast is a leading provider of high-resolution solar irradiance data and forecasting technology, serving the global solar energy industry. Established in 2016 and acquired by DNV in 2023, Solcast helps optimize photovoltaic systems by delivering real-time and historical solar data, leveraging satellite imagery, machine learning, and cloud computing. Their services include historical and Typical Meteorological Year (TMY) datasets, real-time irradiance tracking, and probabilistic forecasting up to 14 days ahead. With rapid updates every 5 to 15 minutes, their data supports both rooftop and utility-scale solar projects, enhancing grid stability and operational efficiency. Solcast's advanced cloud and aerosol detection technology ensures precise weather modeling, helping solar power producers maximize energy generation and reduce risks. By integrating AI-driven analytics and a cloud-based platform, Solcast continuously processes over 600 million forecasts per hour, making it a vital tool for the renewable energy sector.

Whiffle is a Dutch company pioneering high-precision weather forecasting using Large-Eddy Simulation (LES) modeling. Founded as a spin-off from Delft University of Technology, it specializes in hyper-local weather predictions, particularly benefiting the renewable energy sector. By offering highly accurate wind resource assessments, turbulence analysis, and power production forecasts, Whiffle empowers wind farms, grid operators, and energy companies to optimize efficiency and mitigate risks. Their innovative weather modeling captures complex atmospheric phenomena at resolutions as fine as 100 meters, setting new industry benchmarks. With ISO 9001 and ISO 27001 certifications, Whiffle maintains high standards in quality management and information security. The company recently restructured its leadership to drive innovation and global expansion, further solidifying its position as a market leader. Through cutting-edge meteorological solutions, Whiffle transforms weather forecasting into a strategic advantage, helping industries make better-informed decisions and adapt to evolving climate conditions.

Proa is a leading Australian energy intelligence company dedicated to optimizing renewable energy assets through innovative management and monitoring solutions. Established in 2016, Proa specializes in solar energy forecasting, demand forecasting, and self-forecasting, helping businesses maximize efficiency and reduce costs. Their advanced weather monitoring systems, such as MetCube and MicroMet, play a crucial role in enhancing energy reliability. With over 5 GW of projects and more than 100 deployed systems, Proa has contributed to significant savings, including AUD 17 million in Frequency Control Ancillary Services (FCAS). Their clientele includes industry giants like ARENA, Vena Energy, and NEOEN. Recently, Proa expanded its impact by assisting the Northern Territory's defense forces in launching new solar farms in Darwin. As the demand for renewable energy solutions grows, Proa continues to expand its team and innovate, driving the transition toward a smarter, more sustainable energy futur