Spatial data analytics for the industries that shape the physical world. AI built on text, documents, databases, structured data, and the internet misses the physical world entirely. Insurance, aerospace, telecom, energy, mobility, and agriculture all run on physical-world data. Wherobots is the AI context engine that gives these industries the ability to process, analyze, and act on the data behind their assets, their exposure, and their operations. TALK TO US INDUSTRY USE CASES Aerospace and Earth Observation Process petabytes of satellite imagery, run AI inference at scale, and build Earth observation intelligence. Focus: satellite imagery analysis. LEARN MORE Communication Service Providers Process billions of network events, optimize 5G deployments, and build network intelligence at scale. LEARN MORE Financial Services and Insurance Property risk assessment, catastrophe modeling, and climate risk analytics at portfolio scale. Know your exposure before the market does. LEARN MORE Mobility and Map Making Process billions of GPS points, build location intelligence products, and deliver fresh geospatial data to market. LEARN MORE Energy and Utilities Wildfire risk assessment, solar site selection, grid modernization, and infrastructure intelligence. Focus: grid analytics. LEARN MORE Sustainability and Agriculture Satellite crop monitoring, field boundary detection, and remote sensing agriculture at planetary scale. Focus: satellite crop monitoring. LEARN MORE Easily combine raster and vector data types to identify risks, track population movement OR IDENTIFY MOBILITY TRENDS. Wherobots Cloud builds on top of Apache Sedona for planetary scale data processing of geospatial datasets, unlocking answers for insurance, agriculture, mobility analytics, climate, real estate, and more. Use Cases & Stories use cases View more 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,… 7 Mins Read 08 Apr 2026 Introducing developer tools that let AI build with physical world data Your AI can now understand and query spatial data using the Wherobots MCP server, VS… 13 Mins Read 18 Mar 2026 Streaming Spatial Data into Wherobots with Spark Structured Streaming Real-time Spatial Pipelines Shouldn’t Be This Hard (But They Were) I’ve been doing geospatial work… Stories View more 5 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… 7 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… 3 Mins Read 17 Jul 2024 How to Generate Global PMTiles from Overture Maps in 26 Minutes with WherobotsDB Frequently Asked Questions What industries does Wherobots serve? Wherobots serves industries that run on physical-world data: insurance and financial services for property risk assessment and catastrophe modeling, aerospace and Earth observation for satellite imagery analysis, communication service providers for telecom analytics and 5G network planning, energy and utilities for grid analytics and wildfire risk assessment, mobility and map making for location intelligence, and agriculture for satellite crop monitoring and remote sensing. The platform processes geospatial data at planetary scale for any industry where geography shapes decisions. How is Wherobots different from general-purpose analytics platforms for industry solutions? General-purpose analytics platforms like Snowflake, Databricks, and BigQuery treat spatial data as a secondary feature. Wherobots is built from the ground up for physical-world data. WherobotsDB includes 300+ spatial functions covering vector and raster data, with native Spark SQL for tabular operations. RasterFlow runs computer vision models on satellite imagery at any scale. The platform handles the computationally intensive spatial joins, raster-vector fusion, and geometric precision that industry-specific geospatial analytics demand. How does Wherobots integrate with existing data infrastructure? Wherobots connects to AWS S3, Databricks Unity Catalog, AWS Glue Catalog, and any Apache Iceberg catalog. Your data stays in your cloud storage. Wherobots runs compute against it without migration. SOC 2 Type 2 attested. Managed cloud, bring-your-own-cloud, and VPC deployment options available. Give your industry AI that sees the physical world Wherobots is the AI Context Engine for the Physical World. START BUILDING TALK TO US
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,…
7 Mins Read 08 Apr 2026 Introducing developer tools that let AI build with physical world data Your AI can now understand and query spatial data using the Wherobots MCP server, VS…
13 Mins Read 18 Mar 2026 Streaming Spatial Data into Wherobots with Spark Structured Streaming Real-time Spatial Pipelines Shouldn’t Be This Hard (But They Were) I’ve been doing geospatial work…
5 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…
7 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…
3 Mins Read 17 Jul 2024 How to Generate Global PMTiles from Overture Maps in 26 Minutes with WherobotsDB
