Satlas vs Atmo AI

Satlas is an open geospatial platform from the Allen Institute for AI (Ai2) that uses computer vision models to analyze public Sentinel-2 satellite imagery and produce global, monthly-updated datasets. It lets researchers, environmental scientists, and geospatial analysts explore how the planet is changing through an interactive map covering marine infrastructure, renewable energy infrastructure, and tree cover.

The platform processes freely available satellite images with AI models pre-trained on SatlasPretrain, a remote sensing dataset with over 30 TB of imagery and 302 million labels. Users can compare side-by-side or timelapse views of offshore wind farms, solar installations, deforestation, and other land-use changes dating back to January 2016.

All geospatial data products, model weights, and training labels are freely downloadable under the ODC-BY license. Satlas also includes a super-resolution module that enhances low-resolution Sentinel-2 imagery to produce higher-detail global views, with open-source code available on GitHub.

Atmo AI builds deep learning weather forecasting systems for governments, militaries, and large enterprises that need sharper predictions than legacy numerical models deliver. The company ingests real-time data from satellites, ground stations, radars, and ocean buoys, then runs neural network models that cover nowcasts out to 14-day medium-range outlooks. It sits in the data science stack for organizations where a missed storm or wind shift has operational consequences, not just a ruined picnic.

Where traditional numerical weather prediction leans on supercomputers and fixed grid resolutions, Atmo claims forecasts up to 40,000 times faster and up to 50% more accurate on major variables, with grids as fine as 1 km by 1 km for microclimate detail. That resolution gap matters for launch sites, island nations, and defense bases where a county-level forecast hides the local wind shear. The trade-off is access: Atmo sells custom deployments, not a consumer app you open for tomorrow's rain.

National weather agencies, defense commands, and enterprise risk teams use Atmo when they need site-specific forecasts backed by live production contracts. Deployments cited on Atmo's site include the U.S. Air Force, U.S. Navy, the Philippines national government, Cape Canaveral launch operations, and Tuvalu's national forecasting rollout.