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Enterprise Layer Intelligence
Categories/AI Analytics/Atmo
Atmo

Atmo

Founded by Alex Levy & Johan Mathe in 2021

Forecast weather with AI models up to 50% more accurate than traditional methods

Pricing model

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★ Mixed Reviews

Time to value

Requires Expertise

You can use Atmo to get AI-generated weather forecasts for specific geographic regions with up to 1km resolution. It collects real-time data from satellites, ground stations, radars, and ocean buoys, then runs deep learning models to produce forecasts up to 40,000 times faster than traditional numerical weather prediction. Governments, militaries, and enterprises can deploy Atmo for nowcasting (24 hours) through medium-range (14 days) forecasting, with accuracy improvements claimed at up to 50% over conventional systems.

What Atmo does

Generate weather forecasts up to 14 days in advanceIngest real-time data from global weather measurement networksProduce 1km resolution forecast grids for specific regionsBenchmark AI forecast accuracy against traditional modelsDeploy country-specific or region-specific meteorology systemsRun nowcasting models for 24-hour weather windowsContinuously update forecast models with incoming live dataForecasts at up to 1km by 1km geographic resolutionUp to 40,000 times faster than traditional numerical weather modelsClaims up to 50% greater accuracy than leading conventional forecastsReal-time data ingestion from satellites, ground stations, radars, and ocean buoysCovers nowcasting (24-hour) through medium-range (14-day) forecastsDeployed for national governments and US military branchesContinuous model refinement using live incoming weather data

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Atmo, AI weather forecasting, deep learning meteorology, weather prediction, high-resolution forecast, 1km weather model, nowcasting, medium-range forecast, military weather, government meteorology, satellite data, weather AI, climate forecasting, extreme weather, real-time weather data