AI development for the physical world SELECT * FROM planet oceans climate_events maritime_movement fleet_vehicles electric_grid wildfire_risk The Spatial Intelligence Cloud from the original creators of Apache Sedona. TRY WHEROBOTS What is Wherobots? Companies Accelerating Outcomes with Wherobots and Apache Sedona Use cases for spatial data engineering Planetary Scale analytics Spatial joins Perform spatial joins on millions of records for less than 50¢ DO IT NOW GPS Map Matching at Scale Match GPS points to roads for millions of records with no APIs DO IT NOW Detect Airplanes from Satellite Imagery with AI Use text prompts and AI to find airplanes in satellie imagery for $2.50 DO IT NOW Wherobots is lakehouse ready for AWS and Databricks Unity Catalog Get started on Databricks Get started on AWS Apache Sedona Apache Parquet Apache Iceberg PyTorch Benefits for Data Practitioners Up to 20x better performance, unlimited scale, at 1/n the cost Wherobots runs faster at a lower cost with higher scale than other engines for processing physical world data Learn More Join Vector, Raster & Structured Data Seamlessly Build a complete picture over space and time from every aspect Learn More AI for Satellite & Drone Imagery Extract insights from imagery using pretrained or custom models Learn More SQL, Python, and Scala Ready Build with the tools your team already knows Learn More Lakehouse ready with Apache Iceberg Included Upserts, inserts, and transforms on spatial data at any scale. Learn More Fully Compatible with Apache Sedona Lower the cost of your existing workflows with zero code changes. Learn More Get hands on with Apache Sedona Download O'Reilly Book How it works Turn spatial data into products you can build on in your Lakehouse For teams focused on Data Engineering Build innovative data products using high performance workflows that mix spatial and non-spatial data Learn More Data Science Validate and take ideas about the physical world to market faster. Learn More Machine Learning Easily generate inference results across small to large areas of interest with custom or off-the-shelf GeoAI models Learn More “Overture’s 2.6B-building dataset now runs up to 20x faster on Wherobots, with a simple code redirect that kept Sedona compatibility and made our team more productive.” Jennings Anderson Software Engineer with Meta for Overture “With Wherobots on AWS, we can now scale to millions of acres reliably and cost-effectively—delivering faster results and more value to our customers.” G. Bailey Stockdale CEO Leaf Agriculture “With Apache Sedona, we process millions of fleet-derived traffic signs, using scalable spatial joins and partitioning to automate map updates—enhancing Amazon Last Mile’s delivery networks for faster, more reliable routing.” Arka Pratim Das Sr. Manager, Software Development, Amazon Maps “Working with Wherobots lets us focus on what matters — helping our clients make better land decisions. Their platform helps us scale efficiently while keeping our attention on real-world outcomes across energy, conservation, and development.” Danan Margason Founder & CEO at Aarden.ai “Getting data, algorithms, and compute in one place with Spark/Sedona notebooks is a huge boost—powerful like Earth Engine, but with the control developers need to get jobs done.” John Powell Sr. Geospatial Data Engineer, AddressCloud “39 days of processing reduced to <1 day—delivering faster, more accurate population insights to our logistics and supply chain customers worldwide.” Jerome Urbain Head of Products at GeoPostcodes Make the impossible possible with spatial data Industries depend on spatial data Real Estate Finance Retail Create market differentiation by enhancing location based investment decisions at a higher scale Industries depend on spatial data Ag-Tech Climate Change Insurance Drive sustainability initiatives at a higher scale with a better understanding of what’s happening on Earth Industries depend on spatial data Mobility Data Products Automotive Fuel mobility and automotive innovation with GPS-scale data and intelligent, automated spatial models Our team of experts will show you the art of what’s possible Request demo SECURITY Designed for data security first Learn why companies trust Wherobots as a lakehouse engine Learn More Blog Latest News 4 Mins Read 11 Mar 2026 WherobotsDB is 3x faster with up to 45% better price performance The next generation of WherobotsDB, the Apache Sedona and Spark 4 compatible engine, is now generally available. 5 Mins Read 10 Mar 2026 Raster Processing at Scale: The Out-of-Database Architecture Behind WherobotsDB Learn how WherobotsDB's out-of-database architecture processes terabyte-scale satellite imagery, elevation models, and sensor data at scale, enabling zonal statistics, raster algebra, and planetary-scale AI inference without custom infrastructure. 5 Mins Read 27 Feb 2026 PostGIS, Wherobots, and the Spatial Data Lakehouse: A Strategic Guide for Leaders Explore PostGIS, Wherobots, and the Spatial Data Lakehouse. Learn when to use each for scalable geospatial analytics, AI, and cost-efficient data strategy. 4 Mins Read 19 Feb 2026 It takes 15 minutes for the Caltrain to get from Sunnyvale to SAP Center That’s how long it took our MCP server to go from “how many bus stops are in Maryland” to an answer VIEW MORE Get started Modernize your spatial data in the lakehouse today. request demo try wherobots now Frequently Asked Questions What is Wherobots? Wherobots is the AI Developer Platform for the Physical World. Built by the original creators of Apache Sedona, it gives data engineers, data scientists, and AI developers a unified stack to build, deploy, and scale AI-driven workflows on physical world data, without managing complex infrastructure. Whether you’re writing SQL, Python, or working with an AI agent, Wherobots integrates directly with your existing tools and makes physical world data as accessible as any other enterprise dataset. Teams use it across insurance, agriculture, aerospace, mobility, energy, logistics, climate tech, financial services, and more. Does Wherobots work with my existing data stack? Yes. Wherobots is lakehouse-ready for AWS and Databricks Unity Catalog. It integrates with Apache Iceberg as its open table format, and the Professional plan supports bring-your-own-cloud storage for teams that need to keep data in their own environment. VPC deployment is available for teams with stricter security or data residency requirements. Because WherobotsDB is fully compatible with Apache Sedona’s public APIs, existing Sedona workloads migrate to Wherobots Cloud without any code changes. How does Wherobots compare to PostGIS, Google Earth Engine, and Databricks? PostGIS works well for moderate-sized vector data on a single database but doesn’t scale across machines. Google Earth Engine is a closed environment suited to research and imagery visualization, with limited support for custom ML pipelines or enterprise data integration. Databricks covers lightweight spatial joins but lacks the depth of spatial functions, raster processing, or planetary-scale inference that production geospatial teams need. Wherobots is built for all three workload types across both vector and raster data– with 300+ spatial functions, a unified compute and inference engine, and direct integration with Databricks Unity Catalog, Apache Iceberg, and AWS. No fragmented stacks, no new languages to learn. How much faster is Wherobots than other platforms? WherobotsDB delivers up to 20x faster geospatial operations than traditional big data engines, based on the Apache Sedona SpatialBench benchmark at Scale Factor 1000. In production, teams have seen processing times drop from 39 days to under one day. Overture Maps’ dataset of 2.6 billion building geometries runs up to 20x faster on WherobotsDB after redirecting existing Apache Sedona workloads with no code changes. For cost, WherobotsDB benchmarks as the lowest-cost option across SpatialBench queries compared to proprietary SQL serverless engines, Apache Sedona on serverless Spark, and proprietary managed Spark. How do I use Wherobots with VSCode or my favorite agentic development experience? Spatial AI Coding Assistant is available on the VisualStudio marketplace. You can install it there and begin using it to accelerate your spatial data instantly. Additionally, for other coding tools like ClaudeCode or OpenCode, you can install the Wherobots MCP server directly. We are working to make Spatial AI Coding Assistant natively available across code generation and development tools in the coming weeks and months. What industries use Wherobots? Wherobots is used across aerospace, mobility, communication services, energy and utilities, financial services and insurance, and sustainability and agriculture industries. Production use cases include processing large-scale satellite imagery for Earth observation, running property-level climate risk models for insurers, analyzing crop and field data across millions of acres, and building map and routing pipelines for mobility and map-making teams. If your work depends on spatial data at a scale that standard tools struggle with, Wherobots was built for it. Who built Wherobots and what is the connection to Apache Sedona? Wherobots was founded in June 2022 by Jia Yu and Mo Sarwat, the researchers who created Apache Sedona at Arizona State University. Apache Sedona is the open-source distributed computing framework for large-scale geospatial analytics, now with over 50 million downloads. Wherobots is the fully managed cloud platform built on top of it, adding enterprise-grade performance, managed infrastructure, and GeoAI capabilities. Teams already running Apache Sedona workloads can move to Wherobots without changing a single line of code. How do I get started with Wherobots? Get started with a Professional account with advanced features, or talk to an expert if you have questions about your use case. New Pro subscribers can get a 30-day free trial with $300 in consumption credits.
