Layer maintains a growing collection of 120+ global spatial datasets. Our data lake can handle ingestion of spatial-temporal information from the leading space agencies and private sector imagery providers in the world. Layer intermittently pre-computes spatial analytics for almost any urban area on earth.
We are building a collaborative platform to augment teams focused on spatial and geographic work. Our collection of layers can be combined with private datasets enabling teams to refine current practices over a persistent cartographic knowledge graph that can be selectively shared with other teams or the public.
Intersecting global data with local ambitions our platform is expanding its artificial intelligence capabilities in an effort to provide deep-learning augmented spatial analytics across the world. This will enable you to discover locally relevant and contextual spatial references from anywhere on earth.