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WindBorne Systems, a startup using AI and weather balloons to transform meteorology, has raised $37 million in a Series B funding round to make AI weather forecasting more accessible and actionable. The company’s CEO, John Dean, told TechCrunch that the funds will help tackle the biggest challenge in weather prediction: helping people and organizations actually use forecasts effectively.
New deep learning techniques, the same ones behind large language models (LLMs), have made it possible to run complex weather simulations on laptops instead of supercomputers. This is changing the field of meteorology by making forecasts faster, cheaper, and more accurate. But the real challenge is turning these forecasts into decisions that matter.
For example, farmers need to know if frost will damage crops, airlines need to reroute flights around storms, and energy companies need to predict wind and solar output. AI can provide the insights, but only if people can easily access and understand them.
This combination allows WindBorne to deliver highly accurate, localized forecasts that are easy to use.
The $37 million Series B round will help WindBorne expand its balloon fleet, improve its AI models, and build tools that make weather data useful for businesses and governments. As John Dean explained, the goal is not just to predict the weather but to help people act on those predictions.
WindBorne is at the forefront of a new era in meteorology. By combining advanced AI with real-time atmospheric data, they are not only making forecasting more accurate but also more practical. With this new funding, the company is well-positioned to bring AI-powered weather forecasting to the world.
If you’re interested in how AI is reshaping industries, keep an eye on WindBorne Systems — they’re proving that weather prediction is no longer just science fiction.
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