Ground Truth Physical AI news and engineering for real-world data Product news, research, and build notes from Wherobots, the AI Context Engine for the Physical World. Wherobots Cloud News Apache Sedona WherobotsDB Spatial Lakehouse Physical AI Computer Vision RasterFlow Engineering Stories Tutorial Havasu Catalog Earth Observation Use Cases Wherobots for QGIS How Wherobots builds with NVIDIA to let AI see the physical world El Niño 2026, atmospheric rivers, and California’s burn scars Orchestrating Wherobots Jobs from AWS Step Functions Measuring the Strait of Hormuz shutdown with Sentinel-2, WherobotsDB and Overture Maps RasterFlow is now available in Public Preview Sort By Most Recent Most Recent Oldest Categories Physical AI 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 30 Sep 2026 How Wherobots builds with NVIDIA to let AI see the physical world The world and what happens in it is digitized by petabytes of raw and derivative spatial datasets of various data types and scales, and the potential for applying AI to it is immense. But the AI models and agents we use every day need connectivity to tools that turn this data into usable insights and relationships. Wherobots gives AI the ability operate on and understand raw physical-world data, and NVIDIA GPUs are core to it. Architecturally here’s how this works at a high level. 7 Mins Read 30 Sep 2026 How Wherobots builds with NVIDIA to let AI see the physical world The world and what happens in it is digitized by petabytes of raw and derivative spatial datasets of various data types and scales, and the potential for applying AI to it is immense. But the AI models and agents we use every day need connectivity to tools that turn this data into usable insights and relationships. Wherobots gives AI the ability operate on and understand raw physical-world data, and NVIDIA GPUs are core to it. Architecturally here’s how this works at a high level. 7 Mins Read 15 Sep 2026 RasterFlow is now available in Public Preview RasterFlow makes planetary-scale earth intelligence workflows easy and costs predictable. We are excited to announce that RasterFlow is now in Public Preview, opening up the power of planetary scale Earth Intelligence to all Wherobots Professional Edition customers! RasterFlow let’s you solve complex monitoring challenges with vision-language models or tailored models for specific use cases, without […] 4 Mins Read 20 Aug 2026 The Wherobots Spatial AI Assistant is now in the Anthropic Connectors Directory You can now ask Claude questions about the physical world and get answers grounded in real spatial data. The Wherobots Spatial AI Assistant, now available in the Anthropic Connectors Directory, answers these questions in plain language and returns results, maps, and reports directly in your Claude conversation. Wherobots is the AI context engine for the […] 9 Mins Read 9 Jun 2026 Spatial Graph RAG for the Physical World Introduction RAG (Retrieval Augmented Generation) has addressed one of AI’s biggest challenges for enterprise users: missing or hallucinating empirical business and real world context . Instead of generating answers from nothing, RAG retrieves relevant documents and feeds them to the model as context. It works. Ask an AI about your company’s Q4 revenue, and RAG […] 8 Mins Read 28 May 2026 How well does SAM3 detect building footprints? We asked the Wherobots Spatial AI Coding Assistant In a recent post, we showed how easy it is to use RasterFlow and Meta’s Segment Anything 3 Model (SAM3) to detect features in the physical world. A single end-to-end pipeline built a 133 GB NAIP mosaic of Marion County, Oregon, ran SAM3 against it with text prompts spanning eight classes, and produced approximately one […] 6 Mins Read 26 May 2026 Wherobots MCP Server: Building GEOINT Spatial Pipelines with AI Agents Editor’s note: The Wherobots Spatial Data Catalog is now the Havasu Catalog. I built three national-security GEOINT use cases on the Wherobots stack in days instead of weeks. A Critical Infrastructure Vulnerability (CIV) pipeline with two regional variants, plus a border-corridor analysis on real transportation segments. The Wherobots geospatial MCP server is what made that […] 7 Mins Read 4 May 2026 Detecting Objects From Text Prompts with RasterFlow and Segment Anything 3 Exploring the capabilities of Segment Anything 3 on high-resolution Earth observation data. 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. SUBSCRIBEΔ