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Precomputed map tiles simplify access to global data for real-world environmental and energy applications
By delivering ready-to-use embeddings as map tiles, TESSERA removes barriers to large-scale analysis, enabling researchers and organizations to explore agriculture, biodiversity, and land use patterns with speed, consistency, and reduced computational overhead.
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TESSERA enables planetary-scale environmental AI on Vultr infrastructure
Cambridge researchers build a global Earth observation model powered by high-performance cloud GPU infrastructure
The TESSERA project transforms raw satellite imagery into compact, analysis-ready embeddings for every 10-meter land surface globally, enabling faster, more efficient environmental monitoring across industries without the need to repeatedly process massive datasets.
