Atmo
YC W20San Francisco, US · Founded 2020 · Delaware corporation · 10 employees · 5 known investors
Atmo develops AI-powered weather forecasting models that process real-time satellite, ground station, radar, and ocean buoy data to deliver forecasts at high resolution and speed. The company serves governments, militaries, and industries with improved weather prediction accuracy and detail for operational decision-making.
Also known as Atmo AI · Froglabs · Inc. · Atmo Inc. · Atmo, Inc.
Founders & leadership· Y Combinator alumni (W20)
Atmo was founded in 2020 by Alex Levy and Johan Mathe.
Investors · 5
Reported raises · per SEC filings
Form D private placements$17.6M disclosed across 1 round · 2024
▶$17.6MraisedDec 2024 · 68 investors · Other TechnologyRule 506(b)
- Johan MatheExecutive Officer, Director
- Alexander LevyExecutive Officer, Director
- Offering amount
- $17.6M
- Amount sold
- $17.6M
- First sale
- Dec 2024
- Incorporated
- Corporation, Delaware, 2019
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026Atmo is a San Francisco-based company applying deep learning to weather forecasting for governments, defense organizations and weather-dependent industries. It ingests real-time Earth observation data from the majority of weather satellites, ground stations, radars and ocean buoys, and uses that data to continuously refine AI forecast models. The company states its forecasts are up to 50% more accurate than the most advanced existing forecasts across major prognostic and diagnostic variables, run up to 40,000 times faster than traditional numerical models, and reach resolutions as fine as 1km by 1km — roughly 100 times greater detail — enabling prediction for microclimates within larger climate regions. Forecast horizons range from nowcasting (24 hours) to medium-range (14 days). The company's site also references weather modification alongside forecasting.
Atmo was part of Y Combinator's Winter 2020 batch and describes itself as an AI meteorology company serving high-stakes users including the US Department of Defense, the US Air Force and Navy, top aerospace companies, the Philippines national government and the United Nations. Deployments referenced on its site are dated by region: Europe (2021), Nevada and San Francisco (2022), a global/Earth model (2023), and Cape Canaveral, the Philippines and Vietnam (2024). Applications cited include disaster response, renewable energy, agriculture, transportation and national security.
In June 2026 Vaisala Corporation, a Nasdaq Helsinki-listed measurement instrument and weather intelligence company, announced an agreement to acquire Atmo. Vaisala disclosed Atmo net sales of USD 2 million in 2025, contracted 2026 revenue of over USD 6 million, and that Atmo remains in its investment phase and is not yet EBIT profitable.
Founding story
Atmo was founded in 2020 and went through Y Combinator's Winter 2020 batch. CEO and co-founder Alexander (Alex) Levy previously co-founded Atomwise (YC W15), an AI small-molecule drug discovery company, and earlier led a computer vision research lab in the University of Toronto's Computer Science Department. Co-founder and CTO Johan Mathe spent eight years at Google, including work on planning and simulation for Google X's Project Loon, and was a founding team member of Caption Health (acquired 2023) and Apollo Fusion (2021).
Business model
Atmo sells AI-generated weather forecasting systems and forecasts to institutional buyers — national governments and meteorological agencies, militaries and defense organizations, and enterprises in weather-exposed sectors. Engagements include agreements with national bodies such as the Philippine Department of Science and Technology to develop high-resolution AI forecasting systems, and production forecast systems tailored to specific sites and environments.
Revenue derives from contracts with government, defense and enterprise customers for forecasting systems and services. Vaisala reported Atmo net sales of USD 2 million for 2025 and contracted revenue of more than USD 6 million for 2026.
Traction
Y Combinator lists Atmo as active with a team size of 10; Vaisala reported 20 US-based professionals at the time of the acquisition announcement. Customers and partners cited include the US Department of Defense, US Air Force and Navy, the Philippine government, Tuvalu and the United Nations. Net sales were USD 2 million in 2025 with over USD 6 million of contracted 2026 revenue. The company's technology was recognized by TIME as one of the best inventions of 2024, and it has been covered by The Economist, The Washington Post, Nikkei, Axios, The Times of London, Rappler and CNA.
Latest developments
On June 17, 2026 Vaisala announced a signed agreement to acquire Atmo for a fixed cash-and-debt-free price of USD 70 million, payable mainly at closing in cash and newly issued Vaisala series A shares (the share component equivalent to EUR 9 million), plus a contingent cash earn-out of up to USD 60 million tied to business performance and key-employee retention over 2026–2028. Twenty US-based professionals including the founders are to join Vaisala; closing is expected by the end of 2026 subject to regulatory approvals and customary conditions. Vaisala disclosed Atmo current assets of USD 3.7 million and current liabilities of USD 1.8 million at the end of 2025.
▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies
Market position
Atmo positions itself as a leader in AI meteorology for governments, militaries and corporations. Its technology was named by TIME magazine among the world's best inventions of 2024. Vaisala states that combining its sensor network and domain expertise with Atmo's AI models would create the leading weather technology company globally, and that the acquisition expands Vaisala Xweather's roadmap.
Claimed accuracy gains of up to 50% over the most advanced current forecasts, forecast generation up to 40,000x faster than traditional models, and up to 100x finer spatial detail (models as fine as 1km, with a 300m Bay Area forecast). Atmo emphasizes forecasts that are independently benchmarked, in live production, and tailored to challenging operational environments, alongside credentialed defense and national-government deployments.
Technology
Deep learning weather models trained and continuously refined on real-time global observation data from weather satellites, ground stations, radars and ocean buoys. The company reports forecast generation up to 40,000 times faster than traditional numerical weather prediction, resolution down to 1km grids (with a 300-meter-resolution San Francisco Bay Area forecast also published), and dual-scale forecasting used with the US Air Force. Vaisala notes AI models produce accurate forecasts on a fraction of the compute required by conventional NWP.
Go-to-market
Direct enterprise and government sales, with bilateral government agreements and intergovernmental channels (for example a Philippines–US agreement package covering climate technology, and a Tuvalu deployment with the Global Centre for Climate Mobility). Atmo has recruited for business development and a Southeast Asia government relations role, and has built visibility through extensive press coverage and Y Combinator's network.
National governments and meteorological agencies, militaries and defense organizations (including the US Department of Defense, US Air Force and Navy), aerospace and space-launch operators, and industries such as renewable energy, agriculture and transportation. Multilateral bodies including the United Nations and the Global Centre for Climate Mobility are also cited as partners.
Geography
Headquartered in San Francisco with all 20 employees based in the United States as of the 2026 acquisition announcement. Deployments and customer relationships span the United States (including Cape Canaveral and Nevada), Europe, and the Asia-Pacific, notably the Philippines, Vietnam and Tuvalu.
History
After its 2020 founding and Y Combinator Winter 2020 batch, Atmo rolled out forecasting systems progressively: Europe in 2021, Nevada and San Francisco in 2022, a global model in 2023, and Cape Canaveral, the Philippines and Vietnam in 2024. In November 2023 it signed an agreement with the Philippine Department of Science and Technology to develop a high-resolution AI weather forecasting system, as part of a set of Philippines–US agreements. It later launched an AI forecasting system with Tuvalu together with the Global Centre for Climate Mobility, and worked with the US Air Force on a dual-scale AI forecast. In December 2024 a USD 17.6 million offering was recorded in a filing. In June 2026 Vaisala announced an agreement to acquire the company.
Risks & controversies
Atmo remains in an investment phase and is not yet EBIT profitable, per Vaisala's disclosure. Its revenue base is small (USD 2 million in 2025) and concentrated in government and defense contracts. The Vaisala acquisition is subject to regulatory approvals and closing conditions and a substantial part of the consideration is contingent on 2026–2028 performance and employee retention. Press coverage of AI-based forecasting notes that hurdles remain in trusting AI systems to predict natural disasters.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Founder mafia
2 people who came through Atmo went on to found or lead other companies.
Competitors · 8
by search overlapCompanies competing with Atmo for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 6
launches, deals, and filingsVaisala Corporation announced a signed agreement to acquire Atmo, Inc. for a fixed cash-and-debt-free purchase price of USD 70 million, paid mainly at closing in cash and newly issued Vaisala series A shares (share component equivalent to EUR 9 million), plus a contingent cash earn-out of up to USD 60 million based on business performance and key-employee retention for 2026-2028. Twenty US-based professionals, including Atmo's founders, will join Vaisala. Closing is expected by the end of 2026, subject to regulatory approvals and closing conditions.
$70M source ↗
Atmo's AI weather forecasting technology was recognized by TIME magazine as one of the world's best inventions in 2024.
Atmo announced an AI weather forecast for the Cape Canaveral space launch site, with additional launch sites described as following.
Atmo published a release describing how its dual-scale AI weather forecast was validated with the United States Air Force.
Tuvalu launched an AI weather forecasting system built with Atmo, Inc. and the Global Centre for Climate Mobility to improve preparedness for extreme weather events and climate change.
Atmo signed an agreement with the Philippines' Department of Science and Technology (DOST) to develop a high-resolution AI-based weather forecasting system for the country, announced as part of a set of Philippines-US agreements covering clean energy, health care, pharmaceutical production, internet connectivity and climate technology.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structureIn the news
▸Research sources · 8
primary sources listed
- Atmoatmo.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Atmo do?
- Atmo builds AI weather forecasting models for governments, militaries and industry; being acquired by Vaisala.
- Who founded Atmo?
- Atmo was founded by Alex Levy, Johan Mathe in 2020.
- Who are Atmo's investors?
- Atmo's investors include AIX Ventures, Scribble Ventures, Tofino Capital, Y Combinator, Signia Venture Partners.
- How much funding has Atmo raised?
- Atmo has disclosed $17.6M raised across 1 round.
- Where is Atmo headquartered?
- Atmo is headquartered in San Francisco, US.







