Ground Truth Physical AI news and engineering for real-world data Product news, research, and build notes from Wherobots, the Context Engine for Physical World Data. Wherobots Cloud News WherobotsDB Apache Sedona Spatial Lakehouse Computer Vision RasterFlow Physical AI Engineering Havasu Catalog Use Cases Stories Earth Observation Tutorial Providence, Hartford and Chicago Most Dangerous Roads for Pedestrians and Cyclists in the US (Part 2) Most Dangerous Highway in the US Utility Vegetation Management at Scale with Earth Intelligence Putting the HERE Technologies and Wherobots partnership to work Yulin Naval Base in Satellite Imagery Sort By Most Recent Most Recent Oldest Categories Stories View All Use Cases Knowledge Graph Engineering Earth Observation Tutorial Havasu Catalog Wherobots Cloud Computer Vision Spatial Lakehouse RasterFlow Stories WherobotsDB Physical AI News General Apache Sedona Sort By Most Recent Oldest Categories View All Use Cases Knowledge Graph Engineering Earth Observation Tutorial Havasu Catalog Wherobots Cloud Computer Vision Spatial Lakehouse RasterFlow Stories WherobotsDB Physical AI News General Apache Sedona 12 Mins Read 27 Aug 2026 Learning Wherobots by Building a National AI Data Center Suitability Report This guest post is from a Wherobots user George Chandeep Corea, which covers an exploration of how he used Wherobots MCP with his preferred AI coding tools to build the interactive AI data center site suitability analysis tool below. The following quote is from his own biography. Learning by Doing Below is a working national […] 12 Mins Read 27 Aug 2026 Learning Wherobots by Building a National AI Data Center Suitability Report This guest post is from a Wherobots user George Chandeep Corea, which covers an exploration of how he used Wherobots MCP with his preferred AI coding tools to build the interactive AI data center site suitability analysis tool below. The following quote is from his own biography. Learning by Doing Below is a working national […] 9 Mins Read 8 Jul 2026 How Bad Telemetry Data Sabotages Modern Fleets By the Teams at Action Engine & Wherobots Fleet monitoring is undergoing a generational shift. Fleet monitoring, the systems that ingest and analyze vehicle telemetry to track fleet health, performance, and safety, has become the foundation of how operators run vehicles, not just track them. Modern vehicles generate orders of magnitude more telemetry than even […] 9 Mins Read 10 Dec 2025 Introducing RasterFlow: a planetary scale inference engine for Earth Intelligence RasterFlow takes insights and embeddings from satellite and overhead imagery datasets into Apache Iceberg tables, with ease and efficiency at any scale. 4 Mins Read 17 Nov 2025 How Aarden.ai Scaled Spatial Intelligence 300× Faster for Land Investments with Wherobots When Aarden.ai emerged from stealth recently with $4M in funding to “empower landowners in data center and renewable energy deals,” the company joined a new wave of data and AI startups reimagining how physical-world data drives modern business. Their mission: help institutional land investors rapidly evaluate the value and potential uses of land across the country. […] 5 Mins Read 25 Jun 2025 Advancing the Integration of Map Data via Overture’s Global Entity Reference System and Wherobots The general availability of Overture’s Global Entity Reference System (GERS) makes it a lot easier to build intelligence about features of our physical world. 6 Mins Read 23 Jan 2025 Wherobots 2024 accomplishments, and what’s on-deck in 2025 2024 was a transformative year for Wherobots. Our mission to revolutionize how geospatial data is used took significant strides forward, positively impacting our customers and industry. Over the past year, we more than tripled the size of our team and successfully closed a $21.5M Series A funding round. We expanded accessibility to Wherobots’ industry-leading geospatial query performance, integrated Wherobots into the native AWS buying experience, and unveiled groundbreaking features like Raster Inference, Map Matching, and GeoStats—empowering users to create scalable geospatial solutions like never before. 6 Mins Read 25 Nov 2024 Accelerating Vector and Raster Analysis at GeoPostcodes How long is too long to wait for a data set to process? In the fast-paced world of data as a service, efficiency isn't just a nice-to-have; it's essential. But for GeoPostcodes, previous updates to the global population movement datasets took about 39 days. This was running on a headless QGIS instance in combination with PostGIS, combining population rasters with postal code boundaries. 1 2 Next » Sign up for our newsletter Be the first to know about releases and industry news. We care about your data; read our privacy policy. SUBSCRIBELeave this field emptyΔ