No single geostationary satellite sees the whole Earth. WeatherDreamer uses a unified embedding approach to stitch GOES-19 and GOES-18, METEOSAT, and GEO-KOMPSAT-2A data into one seamless, continuously updated global grid.

The atmosphere's three-dimensional wind field is the single most impactful variable for weather forecasting and the least observed.

Zeus AI has been awarded a DOE Phase II grant to build a kilometer-scale severe weather foundation model.

Wildfire driven phenomena such as smoke plumes, aerosol transport, and heat signatures are challenging to track in real-time.

Contrails—those white trails dissipating behind aircraft—account for roughly 35% of aviation's total climate impact.

Zeus AI and SkyPath are teaming up to improve turbulence forecasting.

Zeus AI has been selected for a Navy SBIR Phase I to develop observation-driven medium range forecasts.

Helios is a next-generation solar irradiance model addressing renewable energy forecasting challenges.

Using generative AI, we have developed EarthNet, a multi-modal foundation model for global data assimilation of Earth observations.

Our Phase I project will leverage generative models trained on multimodal Earth observations for urban meteorology.

Applying satellite data synthesis to generate synthetic radar and winds during Hurricane Idalia.

Tracking weather patterns in real time with Zeus AI's data assimilation system.

Zeus AI is pleased to announce the release of LENS-Cast, a new weather nowcasting product.

A look at the data assimilation challenges that come with the age of big Earth data.

Geostationary (GEO) satellites orbit the Earth at the same rate that the Earth rotates, giving a continuous view of the same region.

$850k Phase II award for 3D atmospheric analysis product development.

Predicting 3D atmospheric structure from geostationary satellites.