WindBorne 融资 3700 万美元，推进 AI 气象预测商业化
AI 让气象预测低成本化，WindBorne 用气球数据+AI 模型融资 3700 万美元，说明气象 AI 已具备商业价值。
WindBorne 用长航时气球收集气象数据，训练 AI 天气预报模型，近日完成 3700 万美元 B 轮融资。其客户以美国政府部门为主，下一步计划拓展金融等商业客户。AI 使气象预测更准、更便宜，也让数据变现更容易。
正文摘录
The new deep learning techniques behind LLMs have also given us weather simulations that can run on laptops instead of supercomputers, changing meteorology. But the bigger task for AI may be making it easier for people and organizations to put those forecasts to work. WindBorne Systems, a startup that collects data with the world’s longest-flying weather balloons and feeds it into a [powerful forecasting model](https://techcrunch.com/2026/06/01/this-ai-weather-startup-is-out-forecasting-government-agencies/), has raised a $37 million Series B round to take on that challenge, CEO John Dean told TechCrunch. The new round was co-led by Khosla Ventures and Galvanize, with additional investments from TransLink Capital, Lux Capital, and previous investors, and values the company after this round…