SpAItial

Wherobots is the AI Context Engine for the Physical World: the platform that grounds AI in physical-world reality at planetary scale. Every AI application depends on context: the data, structure, and semantics that ground model outputs in physical reality. The last decade built robust context infrastructure for text: vector databases, RAG pipelines, semantic search. The physical world has no equivalent layer. AI agents can query databases but remain blind to where things are, what is happening around them, and how geography shapes risk and opportunity. Wherobots is that infrastructure. The platform lets teams process satellite imagery at global scale, run precise spatial joins across billions of geometries without failure or approximation, deploy computer vision models on Earth data without building inference infrastructure from scratch, and give AI agents persistent memory of their organization's entire physical-world knowledge base. All of it runs on standard SQL and Python, inside the tools developers already use. Overture Maps Foundation accelerated its 2.6 billion building geometry pipeline by up to 20x with no code changes. GeoPostcodes reduced processing time from 39 days to under one day. [Aarden.ai](http://Aarden.ai) cut statewide geospatial compute from 7 days to 30 minutes. Built by the original creators of Apache Sedona, learn more and get started at www.wherobots.com