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 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 Wherobots for QGIS Sort By Most Recent Most Recent Oldest Categories View All 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 7 Mins Read 5 Feb 2026 Scaling Spatial Analysis: How KNN Solves the Spatial Density Problem for Large-Scale Proximity Analysis How we processed 44 million geometries across 5 US states by solving the spatial density problem that breaks traditional spatial proximity analysis 7 Mins Read 26 Jan 2026 Wherobots brought modern infrastructure to spatial data in 2025 We’re bridging the gap between AI and data from the physical world in 2026 14 Mins Read 9 Jan 2026 The Medallion Architecture for Geospatial Data: Why Spatial Intelligence Demands a Different Approach When most data engineers hear “medallion architecture,” they think of the traditional multi-hop layering pattern that powers countless analytics pipelines. The concept is sound: progressively refine raw data into analytical data and products. But geospatial data breaks conventional data engineering in ways that demand we rethink the entire pipeline. This isn’t about just storing location […] 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 26 Nov 2025 Wherobots and Taylor Geospatial Engine Bring Fields-of-the-World Models to Production Scale Agriculture depends on timely, reliable insight into what’s happening on the ground—what’s being planted, what’s being harvested, and how fields evolve over time. The Fields of The World (FTW) project was created to support exactly this mission, by building a fully open ecosystem of labeled data, software, standards and models to create a reliable global […] 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. […] « Previous 1 … 6 7 8 9 10 … 20 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. SUBSCRIBEΔ