Privately held domain
urth.ai is for sale
I bought urth.ai as a brand for a startup idea. I’d like to sell at fair market price to someone who can make better use. Buy it now for US $750,000. Or make an offer. Direct message Mark on LinkedIn to inquire — DMs are open.
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urth.ai is a brandable spelling of the word Earth AI now organizes around. In July 2025, Google DeepMind released AlphaEarth Foundations, a geospatial model whose Satellite Embedding dataset carries more than 1.4 trillion embedding footprints per year and is used by organizations including the UN FAO, MapBiomas, and Stanford. IEEE Spectrum reported the model classifying 87 crop and land-cover types from roughly 150 examples per class.
Earth Foundation Models
DeepMind's virtual satellite
Google DeepMind announced AlphaEarth Foundations and the Satellite Embedding dataset in July 2025, with more than 1.4 trillion embedding footprints per year and use by organizations including UN FAO, Harvard Forest, MapBiomas, and Stanford.
Efficiency
Global mapping from sparse labels
IEEE Spectrum reported AlphaEarth Foundations classified 87 crop and land-cover categories from about 150 examples per class and was tested with more than 50 organizations.
Earth Foundation Models
DeepMind's virtual satellite
AlphaEarth Foundations integrates optical, radar, LiDAR, and climate data into unified embeddings, released as a dataset with 1.4+ trillion footprints per year.
Efficiency
Global mapping from sparse labels
Per IEEE Spectrum, the model classified 87 crop and land-cover categories using about 150 labeled examples per class.
Adoption
50+ organizations, from the UN to Stanford
DeepMind worked with more than 50 organizations, including the UN FAO, Harvard Forest, MapBiomas, and Stanford.
Context for urth.ai
Earth observation AI
geospatial embeddings
climate intelligence
phonetic brand
Satellite-derived intelligence for agriculture, climate, and land use, the category AlphaEarth anchors.
The 10-meter-resolution representation layer replacing raw imagery in analysis pipelines.
Insurers, agri-businesses, and governments consume planetary AI, with use cases described by DeepMind and IEEE.
Urth reads as Earth while keeping a brandable spelling, tied to the Google Satellite Embedding dataset.