WindBorne Systems, a startup that uses high-altitude weather balloons to collect atmospheric data and feed it into an AI forecasting model, has raised $37 million in a Series B round to expand its commercial business. The round was co-led by Khosla Ventures and Galvanize, with participation from TransLink Capital, Lux Capital, and existing investors, and values the company at $250 million post-funding, CEO John Dean told TechCrunch.
From balloons to business model
Founded in 2019, WindBorne initially focused on building a novel data-gathering network using low-cost weather sensors attached to endurance balloons. The recent advances in deep learning that power large language models have also revolutionized weather simulation, allowing forecasts to run on laptops instead of supercomputers. This shift made it possible for private companies like WindBorne to develop their own forecasting models, a capability previously limited to major government agencies and a few well-funded corporations.
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Today, WindBorne operates 20 launch sites worldwide and keeps roughly 600 balloons in the air at any given time. These balloons collect data in regions that are difficult to monitor, such as the eye of a typhoon. The company is also beginning to deploy aerial sensor packages that can fall into the ocean and continue measuring conditions as floating buoys, expanding its data collection reach.
Dean describes this network as a “planetary nervous system,” and the proprietary data it generates creates a competitive moat for WindBorne’s forecasting model, which also ingests data from government weather agencies around the world. “We demonstrated that when you add balloons to the forecast, you get more accurate forecasts, and the value per data point is much stronger than satellites,” Dean said. “We’ve also been growing revenue while we’re doing that, so that de-risked the demand signal to VCs.”
Government customers first, commercial expansion next
WindBorne’s primary customers today are government agencies. The U.S. National Weather Service purchases the company’s data, while the U.S. Air Force and U.S. Navy are funding research partnerships, including an effort to develop forecasting models that can run onboard ships with intermittent connectivity. These contracts provide a stable revenue base while the company prepares to expand into the private sector.
The new funding will support compute costs, the development of a mesh radio network to replace satellite communications for the balloon fleet, and the build-out of a go-to-market team focused on commercial clients. The initial commercial push targets investment funds that use weather data to predict commodity prices and other business outcomes.
Expanding into the private sector has historically been challenging for weather-data startups. Over the past decade, companies like Spire Global and Planet Labs have built impressive sensing networks but have struggled to translate that data into sustained commercial revenue, often relying heavily on government contracts. The difficulty lies in the fact that extracting actionable insights from raw weather data requires specialized expertise and established workflows that most businesses lack.
Saloni Multani, a partner at Galvanize who co-led the round, believes AI changes that equation. “Integrating weather forecasts into broader business decision-making has traditionally been expensive and difficult. We think AI changes that equation. Better forecasts make the effort worthwhile, and AI makes it much easier to connect those forecasts to the decisions businesses are trying to make,” she said.
What the funding means for the weather industry
WindBorne’s valuation and revenue growth signal a broader shift in the weather forecasting industry. The combination of cheaper AI models and novel data sources is opening the door for new entrants and specialized services. Traditional private weather companies, such as AccuWeather and DTN, have largely focused on repackaging government forecasts for media, aviation, and maritime clients. WindBorne’s approach—building its own data network and AI model—represents a more vertically integrated strategy.
The company’s success could also have implications for the broader AI industry. Weather forecasting is one of the few domains where AI has demonstrated clear, measurable improvements over traditional numerical methods, and it serves as a proof point for the technology’s ability to handle complex physical systems. As WindBorne scales, it may attract more attention from investors and businesses looking to apply AI to other data-intensive industries.
For now, the company remains focused on proving that its model can deliver value across sectors. With the new funding, WindBorne is positioned to test whether the private sector is ready to embrace AI-driven weather intelligence—and whether the “planetary nervous system” can become a profitable enterprise.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. The cryptocurrency and technology markets are volatile, and readers should conduct their own research before making any investment decisions.
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