--- title: "Homepage v2" url: "https://wherobots.com/" description: "Wherobots is the context engine for physical world data: spatial compute and earth intelligence that ground AI agents and physical AI in the real world." published: "2026-10-05" modified: "2026-10-14" --- # Homepage v2 ## Unleash AI on physical world data. The most capable cloud for earth intelligence and physical world data at any scale. [Start for free](https://login.cloud.wherobots.com/sign-up) [Explore Havasu Catalog](https://wherobots.com/havasu/?loc=home-hero) Wherobots Replay of a real Wherobots analysis Searched the Havasu Catalog: **Overture, Regrid, FEMA NRI + NFHL, USFS**2.77M buildings · 2.72M parcels Wrote spatial SQLWherobotsDB ``` SELECT r.peril, COUNT(DISTINCT b.id) AS buildings_exposed FROM wherobots_open_data.overture_maps_foundation.buildings_building b JOIN co_risk.parcels p ON ST_Intersects(b.geometry, p.geometry) JOIN co_risk.peril_zones r ON ST_Intersects(b.geometry, r.geometry) WHERE r.peril IN ('hail', 'wildfire', 'tornado', 'flood', 'wind') GROUP BY r.peril ORDER BY buildings_exposed DESC ``` Ran the query: **5 perils ranked**statewide 2,172,394 Colorado buildings exposed to hail, 78.4% of the state. Hail leads wildfire. View on map ## Trusted by teams building with AI on physical-world data with Wherobots and Apache Sedona ![Allstate](https://wherobots.com/wp-content/uploads/2025/08/allstate-logo-1.svg?ver=1791575225) ![Amazon](https://wherobots.com/wp-content/uploads/2025/08/amazon.svg?ver=1791575225) ![Arity](https://wherobots.com/wp-content/uploads/2025/08/arity.svg?ver=1791575225) ![Comcast](https://wherobots.com/wp-content/uploads/2025/08/comcast.svg?ver=1791575225) ![geoIQ](https://wherobots.com/wp-content/uploads/2025/08/dotlas.svg?ver=1791575225) ![Mapbox](https://wherobots.com/wp-content/uploads/2025/08/geolq-logo-1.svg?ver=1791575225) ![Pacific Gas and Electric Company](https://wherobots.com/wp-content/uploads/2025/08/mapbox.svg?ver=1791575225) ![Placer.ai](https://wherobots.com/wp-content/uploads/2025/08/pacificgas.svg?ver=1791575225) ![Overture Maps Foundation](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-placer-white-600x168.png?ver=1791575225) ![S&P Global](https://wherobots.com/wp-content/uploads/2025/08/Overtune.svg?ver=1791575225) ![Shovels](https://wherobots.com/wp-content/uploads/2025/08/SP-Global.svg?ver=1791575225) ![Swiss Re](https://wherobots.com/wp-content/uploads/2025/08/shovels.svg?ver=1791575225) ![HERE Technologies](https://wherobots.com/wp-content/uploads/2025/08/swiss.svg?ver=1791575225) ![GeoPostcodes](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-here-white.svg?ver=1791575225) ![Aarden.ai](https://wherobots.com/wp-content/uploads/2025/08/geopostcodes-logo.svg?ver=1791575225) ![SatSure](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-aarden-ai-white-600x86.png?ver=1791575225) ![NextEra Energy](https://wherobots.com/wp-content/uploads/2025/11/SatSure.svg?ver=1791575225) ![Ordnance Survey](https://wherobots.com/wp-content/uploads/2025/11/nextera.svg?ver=1791575225) ![Nearmap](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-ordnance-survey-white.svg?ver=1791575225) ![Regrid](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-nearmap-white-600x168.png?ver=1791575225) ![US Forest Service](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-regrid-white-600x168.png?ver=1791575225) ![](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-usfs-white.png?ver=1791575225) Customer proof > We went from babysitting compute jobs for a week to getting results before lunch. *![](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-aarden-ai-white-600x86.png?ver=1791575225) Steven Yee Founding Staff Engineer, Aarden.ai* ![](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-usfs-white.png?ver=1791575225) **\<2 hour runs** From a complex infrastructure project that took months to mission critical fire forecasts updated throughout the day for the US Forest Service [Learn more →](https://wherobots.com/blog/rasterflow-public-preview-planetary-scale-earth-intelligence/) ![](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-aarden-ai-white-600x86.png?ver=1791575225) **300x** faster core processing at Aarden.ai, 7 days to 30 minutes [Learn more →](https://wherobots.com/blog/aarden-ai-geospatial-intelligence-wherobots-case-study/) ![](https://wherobots.com/wp-content/uploads/2026/10/hp-logo-overture-white.svg?ver=1791575225) **20x** faster buildings pipelines at Overture Maps Foundation [Learn more →](https://wherobots.com/blog/unlocking-answers-to-planetary-scale-questions/) ![](https://wherobots.com/wp-content/uploads/2026/10/hp-icon-benchmark.svg?ver=1791575225) **2.5x** faster spatial queries and joins, with up to 45% better price-performance, across SpatialBench at SF 1000 [Learn more →](https://wherobots.com/blog/wherobotsdb-is-3x-faster-with-up-to-45-better-price-performance/) Architecture ## Spatial data in, answers out, built with the stack you already run. Connect your AI agent through the Wherobots MCP server and it can run the whole workflow, from finding the data to writing and running the job. Wherobots reads spatial data where it lives, processes it with WherobotsDB and RasterFlow, and serves results to maps, apps and BI tools in open formats. [Get started with AI coding tools](https://docs.wherobots.com/develop/agentic-tools) Open a group to see its integrations, then hover a logo for details ### Catalogs & data platforms - Databricks Unity CatalogRead Delta, read and write Iceberg - Snowflake Horizon CatalogRead and write with the Spark connector - AWS Glue CatalogIceberg catalog from the Data Hub - Amazon S3 TablesIceberg table buckets - PostGISRead and write over JDBC - ArcGIS Feature ServiceREST reader with pushdown ### Files & formats - GeoParquetRead and write - COGGeoTIFF & COGIn-DB and out-DB rasters - ZarrZarr & NetCDFMultidimensional rasters - STACCollections and items - Shapefile, GeoPackage, GeoJSONVector files - OSM PBFOpenStreetMap extracts - File GeodatabaseRead without GDAL Read & ingest Context engine for physical world data Observe ### RasterFlow: Earth intelligence & perception Imagery becomes physical-world features. [AI for Earth ↗](https://wherobots.com/products/ai-for-earth/) Compute ### WherobotsDB: Spatial-first compute engine Planetary-scale joins on data where it lives. [Compute ↗](https://wherobots.com/products/compute/) readwrite back readwrite back ### Havasu Catalog Open datasets, RasterFlow models, notebooks and apps next to your own datasets, in open formats and Apache Iceberg. #### Open datasets ready to query - Overture MapsBuildings, places, roads, divisions - Sentinel-2Scene index and RasterFlow imagery - NAIPUS aerial imagery for RasterFlow - Copernicus DEM30 m global elevation - US CensusTIGER boundaries and ACS - [+3737 more datasets →](https://wherobots.com/havasu/)42 open datasets in the Havasu Catalog, plus RasterFlow models, notebooks and apps #### Stored in your cloud, in open formats - Amazon S3Your buckets, managed storage or BYOC - Apache IcebergHavasu spatial tables - Delta LakeRead through Unity Catalog - PMTPMTilesPlanet-scale vector tiles [Discover ↗](https://wherobots.com/products/discover/) - SQL sessions, notebooks, and CLIs[Build ↗](https://wherobots.com/products/build/) - Jobs and orchestration[Automate ↗](https://wherobots.com/products/automate/) - Vector tiles and map interfaces[Tiles ↗](https://wherobots.com/blog/vector-tile-generation-pmtiles-wherobots/) - ![](https://wherobots.com/wp-content/themes/wherobots/blocks/architecture-diagram/img/sedona-symbol.png) Extends Apache Sedona, no code changes Query & serve ### AI agents & coding tools - ClaudeOfficial connector - VS CodeWherobots extension - CursorExtension, MCP and skills - ChatGPT & CodexMCP over OAuth - DevinExtension, MCP and skills - Any MCP clientWherobots MCP server ### Maps & front ends - FeltNative Wherobots connector - DekartNative connector, kepler.gl maps - MapLibrePMTiles vector tiles - ArcGIS Maps SDK for JavaScriptPMTiles vector tiles - GLPreviewWherobots-GLZarr, GeoParquet, COG, PMTiles - Notebook mapsleafmap, kepler.gl, pydeck ### Apps, SQL & BI clients - PythonDB-API driver - DBeaverOver JDBC - DataGripOver JDBC - Apache AirflowRun and SQL operators - dbtdbt adapter for Wherobots SQL - APIREST & SQL APIJob Runs and SQL sessions Learn more: [Havasu Catalog](https://wherobots.com/products/discover/) *·* [Compute](https://wherobots.com/products/compute/) *·* [AI for Earth](https://wherobots.com/products/ai-for-earth/) *·* [Automate](https://wherobots.com/products/automate/) *·* [Build](https://wherobots.com/products/build/) Why teams love Wherobots ## Four challenges teams overcome building with physical world data. These are the most commonly referenced reasons why our customers build their physical world data products with Wherobots. [Talk to sales](https://wherobots.com/contact/?loc=home-challenges) 01 ### Velocity is slow The problem #### Ideas take weeks to months to ship. - Many never reach production at all - Bespoke infrastructure for every project - Unfamiliar data structures and silos With Wherobots #### Test ideas in minutes, ship solutions in days. - Prototype to production on one platform - Managed compute, no infrastructure to build - Raster, vector and your tables in one query 02 ### Finding and preparing spatial data takes weeks The problem #### The right data is hard to find. - Hunting across data portals and vendor sites - Download, clean and reproject before any query - Repeat the search for every new project With Wherobots #### Query the right data in place from day one. - Overture, NAIP, Sentinel-2 and easy STAC collections - Schemas and sample SQL, ready to query in place - Next to your own tables, reused across projects 03 ### AI and teams can't use physical world data The problem #### Spatial engineering expertise is scarce. - Projections, spatial indexes and tiling - Hard-won knowledge locked in a few heads - Spatial code from general AI breaks on real data With Wherobots #### Expertise baked into every layer. - Projections, indexing and tiling handled for you - Familiar SQL and Python for everyone on the team - AI agents get spatial expertise through MCP 04 ### Handcuffed by tooling limitations and seat-based licensing The problem #### GIS lock-in or data platform gaps. - Legacy GIS lock-in and per-seat licenses - Data platforms that are incomplete for spatial work - Spatial is a side quest on their roadmaps With Wherobots #### Extend your data platform, pay on demand. - Open file and table formats, no per-seat licenses - Extends the data platform you already run - Spatial-first expertise, priced on demand Solutions by industry ## See how your industry builds with Wherobots. Physical world context for the teams that plan, insure, power and connect the world. [Talk to sales](https://wherobots.com/contact/?loc=home-industries) [See all solutions](https://wherobots.com/solutions/) ![](https://wherobots.com/wp-content/uploads/2025/12/aerospace-menu.svg?ver=1791575225) ### [Aerospace & Earth observation](https://wherobots.com/solutions/aerospace/) Satellite imagery analysis and geospatial AI inference at petabyte scale. ![](https://wherobots.com/wp-content/uploads/2025/12/energy-menu.svg?ver=1791575225) ### [Energy & utilities](https://wherobots.com/solutions/energy-utilities/) Wildfire risk, solar site selection and grid intelligence. ![](https://wherobots.com/wp-content/uploads/2025/12/financial-menu.svg?ver=1791575225) ### [Financial services & insurance](https://wherobots.com/solutions/financial-services/) Climate and property risk across millions of locations. ![](https://wherobots.com/wp-content/uploads/2025/12/mobility-menu.svg?ver=1791575225) ### [Mobility & map making](https://wherobots.com/solutions/mobility-and-map-making/) Billions of GPS points turned into location intelligence and maps. ![](https://wherobots.com/wp-content/uploads/2025/12/telco-menu.svg?ver=1791575225) ### [Communication service providers](https://wherobots.com/solutions/communication-service-providers/) Network events, 5G planning and coverage analytics. ![](https://wherobots.com/wp-content/uploads/2026/01/agriculture-menu.svg?ver=1791575225) ### [Sustainability & agriculture](https://wherobots.com/solutions/sustainability-agriculture/) Satellite crop monitoring and field boundary detection. Open-source foundation ## From the original creators of Apache Sedona. Apache Sedona is the most widely deployed open-source distributed spatial engine in the world. The team that created it built Wherobots on the same foundation, so Wherobots is 100% compatible with existing Apache Sedona workloads: your Sedona code runs unchanged. [Explore Apache Sedona](https://wherobots.com/apache-sedona/) [Compare Sedona and Wherobots](https://wherobots.com/apache-sedona/wherobots-vs-apache-sedona/) Downloads **80M+** Apache Sedona downloads In production **20,000+** organizations run Sedona ![Cover of the O'Reilly book Cloud Native Geospatial Analytics with Apache Sedona](https://wherobots.com/wp-content/uploads/2025/11/book.png?ver=1791575225) O'Reilly book ## Download the Apache Sedona book. Cloud Native Geospatial Analytics with Apache Sedona: a hands-on guide to running Sedona locally and in the cloud, querying large geospatial datasets with spatial SQL, and applying machine learning to spatial data. [Download the book](https://resources.wherobots.com/cloud-native-geospatial-analytics-with-apache-sedona) Blog ## Latest from Wherobots [Visit blog](https://wherobots.com/blog/) ![](https://wherobots.com/wp-content/uploads/2026/10/most-dangerous-roads-pedestrians-header-v2-c89482c28c9dc27e-768x403.jpg?ver=1792562678) 20 Oct 20268 min read ### [Most Dangerous Roads for Pedestrians and Cyclists in the US (Part 2)](https://wherobots.com/blog/most-dangerous-roads-for-pedestrians/) Learn more → ![](https://wherobots.com/wp-content/uploads/2026/10/most-dangerous-highway-header-v5-768x403.jpg?ver=1792618865) 17 Oct 202614 min read ### [Most Dangerous Highway in the US: 25 Deadliest Stretches](https://wherobots.com/blog/most-dangerous-highway-in-the-us/) Learn more → ![](https://wherobots.com/wp-content/uploads/2026/10/king-county-powerline-risk-annotated_1-768x576.png?ver=1791932155) 14 Oct 20266 min read ### [Utility Vegetation Management at Scale with Earth Intelligence](https://wherobots.com/blog/utility-vegetation-management-earth-intelligence/) Learn more → FAQ ## Frequently asked questions ### What is Wherobots? Wherobots is a cloud platform for analyzing physical world data, built by the original creators of Apache Sedona. WherobotsDB runs spatial SQL and Python with 300+ vector and raster functions, RasterFlow turns satellite and aerial imagery into physical-world features, and the Havasu Catalog keeps open datasets next to your own. ### Does Wherobots work with Databricks, Snowflake and AWS? Yes. Wherobots reads data where it lives, including Databricks Unity Catalog, Snowflake Horizon Catalog, AWS Glue Catalog, Amazon S3 Tables and PostGIS, and writes results back in open formats such as Apache Iceberg and Delta Lake. See the [Havasu Catalog](https://wherobots.com/havasu/) for the datasets ready to query. ### How fast is Wherobots? Across SpatialBench at SF 1000, WherobotsDB runs spatial queries and joins 2.5x faster, with up to 45% better price-performance. [Read the benchmark results](https://wherobots.com/blog/wherobotsdb-is-3x-faster-with-up-to-45-better-price-performance/). ### What is the connection between Wherobots and Apache Sedona? Wherobots was built by the team that created Apache Sedona, the open-source distributed spatial engine with 80M+ downloads. Wherobots is 100% compatible with existing Apache Sedona workloads, so your Sedona code runs unchanged. [Compare Sedona and Wherobots](https://wherobots.com/apache-sedona/wherobots-vs-apache-sedona/). ### Can I use Wherobots with AI coding tools? Yes. The Spatial AI Coding Assistant brings spatial SQL to VS Code and Claude Code, and agents such as Claude, Cursor, ChatGPT and Codex, Devin or any MCP client can connect through the Wherobots MCP server. [Read the AI coding tools docs](https://docs.wherobots.com/develop/agentic-tools). ### How do I get started with Wherobots? Start a free trial and test your first idea at $0, or [talk to our team](https://wherobots.com/contact/?loc=homepage-faq) about your use case. ### What is physical AI? Physical AI is artificial intelligence that perceives, reasons about, and acts in the physical world, from robots and autonomous vehicles to models that read satellite, aerial, and sensor data. Read [what physical AI is and the spatial data it runs on](https://wherobots.com/discover/physical-ai/) in our Discover guide. ![Sphere](https://wherobots.com/wp-content/themes/wherobots/blocks/cta-sphere/img/sphere-v2.webp) ## Run your first spatial query. Create an account, and test your first idea at $0. [Start for free](https://login.cloud.wherobots.com/sign-up) [Talk to sales](https://wherobots.com/contact/?loc=home-footer-cta)