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WindBorne Systems Raises $37M Series B for AI-Powered Weather Forecasting
Key points
- WindBorne Systems raised $37 million in Series B funding.
- The company is valued at $250 million post-funding.
- It uses weather balloons and AI for improved weather forecasting.
- Customers include government agencies and investment funds.
Funding Details
WindBorne Systems, a company focused on AI-driven weather forecasting, has successfully closed a $37 million Series B funding round. This round was co-led by Khosla Ventures and Galvanize, with additional participation from TransLink Capital, Lux Capital, and existing investors. The new funding values WindBorne Systems at $250 million.
Technology and Operations
Founded in 2019, WindBorne Systems collects weather data using low-cost sensors on long-endurance weather balloons. The company currently operates 20 launch sites globally and maintains approximately 600 balloons in the air at any given time, gathering data from challenging locations like typhoon eyes. They are also deploying aerial sensor packages that convert into floating buoys upon ocean impact for continuous data collection.
The collected data feeds into WindBorne's proprietary AI weather model, which also integrates data from government weather agencies. This approach allows for more accurate forecasts compared to satellite data, and the AI models can run on standard hardware, eliminating the need for supercomputers previously required for atmospheric simulations.
Customer Base and Future Plans
WindBorne Systems' primary customers are government agencies, including the U.S. National Weather Service, which purchases its data. The U.S. Air Force and Navy are also engaged through research partnerships, developing forecasting models for use on ships with intermittent connectivity. The company is now expanding into commercial markets, initially targeting investment funds that use weather data to predict commodity prices and other business outcomes.
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Reporting from
WindBorne Systems, a startup utilizing weather balloons and AI for forecasting, secured $37 million in Series B funding, valuing the company at $250 million. This investment will support the expansion of its data collection and AI-driven weather prediction models, which are more accurate than traditional methods and can run without supercomputers.