Revenue
WindBorne reported that revenue tripled over the twelve months through August 2026, as its fleet expanded to more than 600 autonomous weather balloons. The company had already generated millions of dollars from government research and atmospheric-data contracts by June 2024, before expanding its commercial forecasting business.
In October 2026, the US Air Force awarded WindBorne its largest contract to date, with a ceiling of $49M and $1.7M in orders placed at announcement. The Air Force purchases data for specific regions and times as needed; the ceiling represents potential orders rather than guaranteed sales or annual revenue. WindBorne had approximately 700 balloons operating globally by October, supplying observations to government customers including the National Weather Service, Air Force, and Navy, alongside a growing commercial customer base.
Valuation & Funding
WindBorne raised a $37M Series B in August 2026, co-led by Khosla Ventures and Galvanize with participation from Translink Capital, Biprogy, Lux Capital, and existing investors. The round brought total funding to more than $62M and financed expansion of its balloon network and AI forecasting models.
Its $15M Series A in June 2024 was led by Khosla Ventures, with participation from Footwork VC, Pear VC, and Convective Capital. Khosla had also led its 2019 pre-seed round; other early backers include Ubiquity Ventures and Susa Ventures.
WindBorne emerged from the Stanford Space Initiative and was founded in 2019 by John Dean, Andrey Sushko, Kai Marshland, and Joan Creus-Costa. Dean serves as CEO, Sushko as CTO, and Marshland as chief product officer.
Product
WindBorne lets meteorologists and businesses obtain atmospheric measurements and forecasts for locations around the world. A meteorologist opens WindBorne Live, selects a geographic region, inspects balloon readings, and compares them with NOAA forecast data; an energy trader can retrieve forecasts through an API and feed temperature and wind predictions into demand or generation models.
Atmospheric observations
WindBorne designs, manufactures, and operates Atlas, a constellation of long-duration balloons carrying sensors for temperature, humidity, pressure, and wind. The balloons change altitude by releasing gas or dropping ballast, finding winds that carry them toward target regions without an engine. Repeated vertical profiles capture conditions over oceans and remote areas where traditional observation networks are sparse, with satellite communications transmitting readings to customers.
AI forecasts
WeatherMesh combines atmospheric observations with AI forecasting, while MetaMesh blends WeatherMesh with public AI and physics-based models. Energy customers can obtain global forecasts up to 15 days ahead, refreshed hourly, or higher-resolution forecasts for the continental US and Europe updated every 15 minutes. API access and an interactive insights platform let customers integrate predictions into automated systems and inspect the weather signals behind them.
Business Model
WindBorne sells access to observations and forecasts rather than selling balloons to each customer. Government revenue includes atmospheric data services and research contracts; commercial customers buy forecast access for decisions such as energy trading and utility operations. The Air Force's October contract provides a purchasing vehicle for additional regional data orders while supporting expansion of the constellation and improvements to its hardware.
Owning the sensing network gives WindBorne two ways to monetize the same infrastructure: selling observations into other organizations' forecasting systems and using those observations to improve its own paid forecasts. Manufacturing, launching, replacing, and communicating with balloons remain operating costs alongside model development and compute, making flight duration and useful coverage important to the value retained from data sales.
Government relationships also validate the observation network for commercial buyers. Like Saildrone's transition from scientific ocean-data missions into defense applications, WindBorne can sell measurements from a self-operated autonomous fleet across multiple budgets, though forecast customers must see enough incremental decision value to pay beyond the public data they already use.
Competition
WindBorne competes with Spire and Tomorrow.io for atmospheric data and commercial weather intelligence, while forecasts from NOAA, ECMWF, and Google provide alternatives or inputs for customers. The contest spans observation coverage, forecast accuracy, delivery speed, and integration into the customer's decisions.
Proprietary observation networks
Spire operates satellites that collect atmospheric profiles through radio occultation, while Tomorrow.io combines satellite observations with weather intelligence for enterprises. WindBorne instead collects direct measurements through altitude-controlled balloons, giving it a different route to filling observation gaps but requiring continuous launches and fleet operations. Its advantage depends on those measurements improving decisions enough to justify maintaining a separate data supplier.
Public and AI forecast models
Government forecast systems and AI models give customers increasingly capable baseline predictions without requiring WindBorne's proprietary network. WindBorne's own observations can differentiate its forecasts, and MetaMesh incorporates public models rather than requiring customers to abandon them. Better benchmark performance must translate into useful signals for specific buyers, such as changes in electricity demand or renewable generation.
TAM Expansion
Energy trading and utility operations
Commercial energy customers open a budget beyond government meteorology and research contracts. WindBorne's dedicated energy products deliver wind and temperature forecasts through APIs, backtest data, and an insights platform, allowing traders to evaluate signals and utilities to plan around demand and generation. Capturing this market requires demonstrating economic value in operational decisions, rather than forecast accuracy alone.
Broader weather-dependent industries
Transportation, agriculture, and insurance create additional potential buyers for forecasts and risk information. Serving those budgets requires translating atmospheric predictions into specific decisions such as routing, crop operations, or loss preparation, alongside integrations and industry-specific validation; a global forecast feed alone does not establish adoption in each market.
Risks
Contract conversion: The Air Force's $49M ceiling is not a guaranteed purchase commitment, with only $1.7M ordered at announcement. Changes in government demand or appropriations could leave fleet investments ahead of paid usage.
Fleet reliability and cost: WindBorne must keep manufacturing and launching balloons while maintaining useful coverage and reliable communications. Shorter flights, gaps in observations, or operating restrictions could raise the cost of delivering the data that differentiates its forecasts.
Forecast commoditization: Public agencies and well-funded AI developers continue improving forecasts available to customers. WindBorne must turn proprietary observations into measurable decision value, or its hardware costs may persist while buyers increasingly rely on cheaper alternatives.
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