Air Force taps WindBorne for up to $49M in weather balloon data
WindBorne Systems won a U.S. Air Force contract worth up to $49 million to provide data from its autonomous weather balloons. The Air Force orders data for specific regions and times as needed, and has placed $1.7 million in orders so far. The Redwood City startup operates roughly 700 balloons and uses their readings in its AI forecasting model, WeatherMesh 6.
WindBorne, founded in 2015 and headquartered in Redwood City, California, runs roughly 700 autonomous balloons worldwide. Their sensor readings supply customers and train WeatherMesh 6, its deep-learning forecasting system. The Air Force contract, awarded without competitive bidding, lets it order data for chosen places and times; $1.7 million has been ordered so far.
The company raised a $37 million Series B in 2025? Article says in August CEO told TechCrunch had raised $37M Series B. Earlier this summer released WeatherMesh 6, which it says outperforms ECMWF's physics-based model. In August, WindBorne became first to send an unpowered system into a typhoon's eye, steering balloons by changing altitude, releasing air, or dropping sand ballast.
Count words. First para: WindBorne(1), founded2, in3, 2015(4), and5, headquartered6, in7, Redwood8, City9, California10, runs11, roughly12, 70013, autonomous14, balloons15, worldwide16. Their17, sensor18, readings19, supply20, customers21, and22, train23, WeatherMesh24, 6(25), its26, deep-learning27, forecasting28, system29. The30, Air31, Force32, contract33, awarded34, without35, competitive36, bidding37, lets38, it39, order40, data41, for42, chosen43, places44, and45, times46; $1.747, million48, has49, been50, ordered51, so52, far53. Good 53.
Second: The1 company2 raised3 a4 $375 million6 Series7 B8 in9 2025? Article doesn't specify year? "in August" likely 2025? Current date 2026? But article says in August. We can avoid year. "T
More precise balloon-fed forecasts could help militaries, airlines, farmers, emergency managers, and coastal communities anticipate storms and allocate resources. If private constellations become central to weather intelligence, public agencies may depend more on commercial providers, potentially affecting cost, access, and resilience. The technology may also speed severe-weather warnings, though its societal benefits will depend on how widely the resulting data and forecasts are shared. Count: More1 precise2 balloon-fed3 forecasts4 could5 help6 militaries7, airlines8, farmers9, emergency10 managers11, and12 coastal13 communities14 anticipate15 storms16 and17 allocate18 resources19. If20 private21 constellations22 become23 central24 to25 weather26 intelligence27, public28 agencies29 may30 depend31 more32 on33 commercial34 providers35, potentially36 affecting37 cost38, access39, and40 resilience41. The42 technology43 may44 also45 speed46 severe-weather47 warnings48, though49 its50 soci