Atmo AI
Atmo AI

Atmo AI

Anticipate the climate better, act faster.

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Data analysis
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Description

This artificial intelligence makes it possible to optimize weather forecasts using data from satellites, radars, and other measurement stations, processed almost instantly by AI models. Atmo AI significantly improves the accuracy of forecasts, offering up to 50% more accuracy over traditional models for intervals of up to 14 days. In addition to providing forecasts at the microclimatic scale with a granularity of up to 1km², this tool is of great help to governments, businesses and meteorological organizations in the proactive management of climate phenomena. Fast forecasts and high resolution thus make it possible to better anticipate and react to rapidly changing weather conditions. Atmo AI is recognized for its ability to offer reliable and tailor-made solutions, essential in demanding and varied environments. It is the ideal tool for those who require a high level of accuracy and speed in weather forecasting.

Plan prices

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Features

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Who is using this AI?

Enterprise
Autre

Features

Real-time weather data on a global scale

This system collects in Real time meteorological data via a large network of satellites, ground stations, radars and ocean buoys. The use of models ofartificial intelligence makes it possible to continuously refine forecasts, thus strengthening their reliability and precision for concrete application in sectors as critical as transport or agriculture.

Ultra-fast forecasts

Faced with climate volatility, this tool offers forecasts up to 40,000 times faster than traditional models. This exceptional speed is crucial for emergency management and short-term planning in sensitive areas such as civil security and outdoor event management.

Increased forecast accuracy

This technology is characterized by improved precision up to 50% compared to the most advanced forecasting systems. It covers various time scales, from Nowcasting (24 hours) in the medium term (14 days), which is particularly beneficial for sectors highly dependent on climatic conditions such as agriculture and natural resource management.

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