Atmo
- Company typePrivate
- Founded2017
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Atmo firmographics
Firmographics- Name
- Atmo
- Legal name
- Atmo Inc.
- Website
- https://atmo.ai
- Company type
- Private
- Founded year
- 2017
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Atmo industry classification
Industry- Product category
- AI Weather Forecasting Software
- NAICS
- Computer Systems Design and Related Services (54151)
- akta.pro primary industry
- Scenario Planning, Forecasting Platforms & Planning Intelligence (HDAAAHAL)
Keywords
Where Atmo is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Atmo business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- AI Weather Forecasting Subscriptions / Contracts: Atmo generates revenue through contracted subscriptions for AI weather forecasting services. Atmo reported $2 million in revenue for 2025 with contracted revenue exceeding $6 million for 2026, indicating recurring subscription and contract-based revenue streams with government and enterprise customers.
- Enterprise Licensing and Service Agreements: Revenue derived from licensing ultra-precise AI weather forecasting technology to national governments, militaries, and enterprises. The acquisition by Vaisala valued the company at $70 million fixed price plus earnouts up to $60 million, suggesting significant long-term contracts with government entities.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise and government subscription contracts — pricing not publicly disclosed |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Atmo product offering
Product offeringCore offering
Atmo provides an AI-powered weather forecasting platform that uses deep learning neural networks to combine real-time data from global satellites, ground stations, radars, and ocean buoys with over 60 years of historical climate data, producing ultra-precise forecasts up to 40,000 times faster, 50% more accurate, and 100 times more detailed than traditional supercomputer-based forecasts. The platform is delivered through the global Atmo Earth platform, regional hyperlocal forecasts (down to 300m–1km resolution), and specialized national deployments such as AI4RP for the Philippines, with additional weather modification capabilities delivered through the Rainmaker alliance.
Product overview
Atmo offers a unified AI-powered weather forecasting platform with specialized products. The core Atmo AI Weather Forecasting Platform delivers ultra-precise predictions using deep learning, complemented by regional forecasting products (Atmo Earth Platform for global forecasts, regional platforms for local/city-level predictions like SF Bay Area). Specialized models include AI4RP for Philippines-specific forecasting. The company also provides weather modification services through its Rainmaker alliance. All products leverage real-time data ingestion from global weather sensors and deliver forecasts up to 100x more detailed than traditional methods.
Differentiator
Problem solved
Functional benefit
Brands
- AI4RP: AI for Resilient Philippines - specifically calibrated AI weather model for Philippine archipelago weather patterns
- Rainmaker-Atmo Alliance
Products and services
- Atmo AI Weather Forecasting Platform Core AI-powered weather forecasting platform using deep learning neural networks that delivers ultra-precise predictions up to 40,000 times faster and 50% more accurate than traditional methods, with resolution up to 100 times more detailed, for governments, militaries, and enterprises.
- Atmo Earth Platform Global AI forecast platform providing worldwide real-time weather predictions with continuous model updates and self-correction using real weather measurements.
- Atmo Regional Forecasting Regional and local weather forecasting platform delivering hyperlocal predictions at resolutions as fine as 300 meters to 1km, enabling street-block level weather detail for specific geographic areas including San Francisco, Nevada, Cape Canaveral, Vietnam, and Europe.
- AI4RP (AI for Resilient Philippines) Specialized AI weather forecasting model specifically calibrated for Philippine archipelago weather patterns, delivering 10x higher resolution than prior regional forecasts and enabling neighborhood-level predictions for disaster preparedness and agriculture in the Philippines.
- Weather Modification Services (Atmo-Rainmaker Alliance) Comprehensive weather intervention capabilities delivered through the strategic alliance with Rainmaker Technology, including AI-powered precision cloud seeding identification and optimization, precipitation enhancement, drought mitigation, and severe weather impact reduction.
Quantifiable outcome
- Up to 50% more accurate than today's most advanced forecasts across major prognostic and diagnostic variables, for time scales ranging from nowcasting (24 hours) to medium-range (14 days)
- +5 more outcomes
Companies that use Atmo
Customer profileNamed customers7 records
Segments3 records
Ideal customer profiles3 records
Atmo technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability3 records
Feature6 records
Atmo partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered flagship and core.
- Vaisala CorporationflagshipVaisala Corporation announced the acquisition of Atmo for USD 70 million (fixed price) plus potential earnout payments up to USD 60 million based on performance through 2028. Atmo's frontier AI weather forecasting models will be brought in-house to complement Vaisala's existing acquisitions of Speedwell Climate Ltd and Nevis Technology Limited. The acquisition is expected to strengthen Vaisala's position in weather intelligence for the insurance and finance sectors. Closing anticipated by end of 2026 pending regulatory approvals. Approximately 20 US-based experts including founders will transfer to Vaisala.
- Rainmaker Technology CorporationcoreStrategic alliance to create the world's most advanced weather modification platform by combining Rainmaker's radar-validated cloud seeding platform with Atmo's AI weather forecasting. Rainmaker integrates Atmo's ensemble deep learning models to identify optimal seeding conditions, while Atmo offers its customers comprehensive weather modification interventions delivered by Rainmaker. The partnership enables cross-selling to both companies' customer bases — governments and enterprises needing precipitation enhancement or advanced forecasting. Rainmaker's customers include Utah Department of Natural Resources, Colorado DNR, Oregon Department of Agriculture, and cities throughout Texas and California.
- Global Centre for Climate Mobility (GCCM)flagshipPartnership with GCCM and the Government of Tuvalu to provide ultra-precise AI-based weather forecasts for the Pacific island nation of Tuvalu. Atmo will provide advanced AI weather forecasting capabilities for 10 years, with training for local personnel and integration into disaster management and climate adaptation strategies. GCCM enables the Rising Nations Initiative (RNI), a UN Member States-led initiative. This landmark project showcases how AI technology can address the global climate crisis and help vulnerable communities build resilience.
- Republic of the Philippines (DOST, PAGASA, ASTI)flagshipPartnership with the Philippine Department of Science and Technology (DOST), PAGASA (weather agency), and ASTI to develop and deploy Southeast Asia's first live AI-based national weather forecasting system. The AI4RP (AI for Resilient Philippines) model delivers 10x higher resolution than prior forecasts. The Letter of Intent was signed at APEC summit witnessed by President Marcos Jr., and the system was deployed in record time. Multiple future versions are in training, each incorporating more local weather data and real-world observations from across the Philippines.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Atmo competitors and assessment
Company assessmentDirect peers
- DTN: Established provider of weather-driven decision intelligence for agriculture, energy, aviation, and logistics. Overlapping customer base and analytics-first approach make it a strong direct peer, though DTN's heritage is more data/informatics than pure-play AI forecasting.
- Tomorrow.io: Direct AI-driven weather forecasting SaaS competitor offering hyperlocal forecasts to enterprises and governments, including defense and logistics customers. Closely comparable in product (AI weather SaaS), customer base (enterprise + government), and business model (subscription contracts).
- StormGeo: Weather intelligence provider focused on shipping, offshore energy, renewables, and logistics. Comparable business model (subscription weather SaaS for enterprises) and customer overlap in maritime and energy verticals.
- Speedwell Climate: Provider of probabilistic climate and weather data, also acquired by Vaisala alongside Atmo. Closely comparable as a weather/climate analytics peer inside the same acquirer's portfolio.
Broad incumbents
- Vaisala Corporation: Acquirer of Atmo and incumbent in weather, environmental, and industrial measurement. Operates a broader portfolio (observations, lightning, road weather) into which Atmo's AI forecasting will be integrated. Comparable as a buyer of AI weather IP and as a competitor for the same government/enterprise RFPs.
- IBM / The Weather Company: Operates The Weather Company and IBM Environmental Intelligence Suite, combining global forecasts with enterprise analytics. Serves many of the same enterprise and government buyers Atmo targets, and is investing in AI/GPU-accelerated forecasting models.
- AccuWeather: Long-standing weather forecasting company now expanding enterprise APIs and AI-enhanced forecasts. Competitor for enterprise/government weather data contracts, though its core brand and distribution remain consumer media.
Emerging players
- Spire Global: Operates a commercial satellite constellation producing radio occultation and weather data, and offers AI-driven forecasting products. Comparable in selling data-rich weather intelligence to governments and enterprises, with an adjacent (rather than identical) data-source stack.
- Jupiter Intelligence: Climate risk analytics platform combining high-resolution climate and weather models for infrastructure, insurance, and financial services. Comparable in selling AI-enabled climate/weather analytics to enterprise risk buyers and in Vaisala's broader Xweather orbit.
Others
- NVIDIA (Earth-2 / FourCastNet): Provides GPU infrastructure and reference AI weather models (FourCastNet, Earth-2 digital twin platform). Comparable as enabler/ecosystem participant whose underlying tech and open models both enable and threaten Atmo's AI forecasting moat.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Atmo social profiles
Digital presenceAtmo financial estimates
Financial estimateRevenue estimate
Valuation estimate
Atmo leadership team
Management profileNumber of profiles
Profiles2 records
Atmo funding detail
Funding detailFunding overview
Funding rounds4 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Atmo M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Atmo
What does Atmo do?
Atmo provides an AI-powered weather forecasting platform that uses deep learning neural networks to combine real-time data from global satellites, ground stations, radars, and ocean buoys with over 60 years of historical climate data, producing ultra-precise forecasts up to 40,000 times faster, 50% more accurate, and 100 times more detailed than traditional supercomputer-based forecasts. The platform is delivered through the global Atmo Earth platform, regional hyperlocal forecasts (down to 300m–1km resolution), and specialized national deployments such as AI4RP for the Philippines, with additional weather modification capabilities delivered through the Rainmaker alliance.
Is Atmo a public or private company?
Atmo is a private company. It is classified as venture growth investor backed and is currently acquired.
When was Atmo founded?
Atmo was founded in 2017. It employs 11 to 50 people.
Where is Atmo based?
Atmo is headquartered in San Francisco, United States, in the North America region.
How does Atmo make money?
Two revenue lines are on record. AI Weather Forecasting Subscriptions / Contracts are the primary driver. The others are enterprise Licensing and Service Agreements.
Who are Atmo's main competitors?
Direct peers on record are DTN, Tomorrow.io, StormGeo and Speedwell Climate. Broad incumbents are Vaisala Corporation, IBM / The Weather Company and AccuWeather. Emerging players are Spire Global and Jupiter Intelligence. NVIDIA (Earth-2 / FourCastNet) is listed as an others.
Does Atmo have an API?
No public API is recorded for Atmo.
What industry is Atmo in?
Atmo's product category is AI Weather Forecasting Software. Its primary akta.pro industry code is HDAAAHAL, Scenario Planning, Forecasting Platforms & Planning Intelligence. Its NAICS code is 54151.