TECHNOLOGY
Multimodal, multi-resolution foundation model for Earth observations. Learning from missing and incomplete data. Ingests data from space, ground, and human generated sources.
FIGURES
We integrate multi-modal, multi-resolution data to create a unified model of our planet. Our model predicts timely, complete, high-resolution global information.
High Resolution
Our model’s ability to learn across modalities enables applications including super-resolution, where high-resolution imagery can be synthesized from lower-resolution inputs.
AI Tech
Our multi-modal foundation model enables a wide range of AI solutions.
Harmonizing diverse Earth data streams and intelligently filling spatial and temporal gaps is a key capability of our model.
Advanced techniques for integrating observations enable continuous weather model updating with high-fidelity information
Enhancing imagery through super-resolution allows extraction of high-fidelity environmental insights
Automated segmentation of Earth observations into distinct regions, surfaces and objects.
Precise object detection across multi-modal data identifies and tracks key environmental phenomena.
Learning the dynamics of the Earth system supports forecasting of future environmental conditions.