“A great use case in crop insurance as it can provide accurate, consistent field level data digitally in real time at a far lower cost and eliminate requirement to build physical infrastructure.”
“Being able to proactively prepare for weather has allowed us to save nearly $15,000 in unnecessary overtime each winter storm and over $48,000 in winter operations costs overall this year. This has transformed the way we approach our municipal operations, allowing us to reinvest both time and money back in our core operations."
ClimateAi is pioneering the application of artificial intelligence to help businesses and governments build climate resilience. By applying AI to climate risk modeling, its ClimateLens platform provides short and long-term insights into weather and climate impact, helping businesses identify the actions needed today to adapt to the climate change disruptions of tomorrow, as well as new opportunities that may arise as a result. Clients include Advanta, Nuveen (a TIAA company), Suntory, and Oatly.
Earth Networks has been Taking the Pulse of the Planet® for more than 20 years. They help organizations mitigate financial, operational and human risk by providing environmental intelligence from the world’s largest hyperlocal weather network. Schools, airports, sports teams, utilities and government agencies rely on their data solutions to safeguard lives, prepare for weather events and optimize operations. Companies across all industries use their weather data to make informed decisions regarding risk management, business continuity and asset protection.
Meteomatics GmbH was founded in March 2012 by Dr. Martin Fengler. The focus of Meteomatics lies on the development of meteorological software products, processing and providing weather data and consulting work experience covers the whole process chain of a weather service provider: acquisition and processing of weather station data, numerical weather models, radar images, satellite data as well as visualization of meteorological data and the development of customer specific forecasting systems, e.g. PV and wind power forecasts. Data refinement and delivery to the customer is part of the business.