Atmopricing, plans and limits

Last updated: 2026-08-17

Atmo is an AI weather forecasting platform founded in 2020 that generates forecasts up to 50% more accurate than traditional numerical models, at hyperlocal, 1km spatial resolution. It combines physics-based prediction with deep neural networks and serves the US Air Force, Navy, and Philippine government.

About Atmo

Atmo is an AI weather forecasting company founded by Alex Levy and Johan Mathe, who previously built Atomwise and worked on Google X's Project Loon. The company combines physics-based Numerical Weather Prediction with deep neural networks trained on real-time data pulled from the large majority of global weather sources, including satellites, ground stations, radar, and ocean buoys, to generate forecasts it says are meaningfully more accurate than traditional supercomputer-based models and up to 40,000 times faster to produce. The core technical differentiator is resolution. Atmo forecasts at hyperlocal spatial detail that reveals nano-climate conditions coarser, continent-scale models miss entirely, across nowcasting and medium-range horizons out to 14 days. Data reaches customers through an API, business intelligence integrations, and IoT-connected alerting rather than a self-serve dashboard. Atmo is not a consumer weather app. Its customers are governments, militaries, and enterprises that need forecasting accuracy for high-stakes decisions: the US Air Force and Navy use it for defense operations, the Philippine national government uses it for disaster response, and commercial partners use it across renewable energy, agriculture, and transportation. Atmo does not publish public pricing. Every deployment is a custom, sales-led contract, and there is no free tier or self-serve signup. In June 2026, Atmo agreed to be acquired by Finnish weather technology company Vaisala for a fixed $70 million plus up to $60 million in earn-outs tied to 2026-2028 performance, with its staff including both founders set to join Vaisala's Xweather division. The deal was expected to close by the end of 2026, and Atmo continued operating under its own brand through that transition.

Pricing

Atmo does not publish self-serve pricing. All contracts are individually negotiated with government, military, and enterprise buyers through a sales process. Third-party trackers have previously listed legacy tiers around $10,000 (Basic), $25,000 (Advanced), and $50,000 (Premium) per year, but Atmo's current site shows no checkout and routes every inquiry to a contact form, so those figures should be treated as unverified and historical rather than current list prices.

Key Features

• Nano-climate resolution: Surfaces hyperlocal, block-by-block weather conditions that standard continent-scale global models are too coarse to capture.
• Rapid forecast generation: Produces full-resolution forecasts on a fraction of the compute time of traditional supercomputer-based Numerical Weather Prediction runs.
• Higher forecast accuracy: Company benchmarks claim up to 50% higher accuracy than today's most advanced forecast models.
• Hybrid physics and deep learning model: Pairs Numerical Weather Prediction with neural networks trained on live satellite, ground station, radar, and ocean buoy feeds.
• Defense-grade production deployments: Runs in live production for the US Air Force and Navy, delivering mission-critical forecasts for defense operations.
• API and IoT integration: Delivers forecast data through an API for integration into existing dashboards, BI tools, and IoT-connected alerting systems.

Pros

• Documented order-of-magnitude faster forecast generation than traditional supercomputer-based NWP models, per company benchmarks.
• Hyperlocal spatial resolution well beyond the coarse, continent-scale grids of standard global weather models.
• In live production with high-stakes government customers including the US Air Force, US Navy, and the Philippine national government, evidence of real-world reliability rather than a lab demo.

Cons

• No public self-serve pricing or checkout. Every plan is custom-quoted for government and enterprise buyers, which shuts out small teams and individual developers.
• Forecast range is capped at 14 days and the model's published operating range covers -30C to 45C, so it is not built for extreme-temperature or beyond-two-week planning.
• No G2, Trustpilot, or Product Hunt review base as of August 2026 (0 reviews found on G2), so buyers have no independent third-party validation to weigh against Atmo's own accuracy claims.

Visit Atmo Official Website