Planetary-scale answers, unlocked.
A Hands-On Guide for Working with Large-Scale Spatial Data. Learn more.
Product Manager
Product @ Wherobots
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 […]
Wherobots Now Federates with the AWS Glue Data Catalog
AWS customers can now bring Wherobots’ best-in-class spatial intelligence capabilities to any dataset managed by AWS Glue Data Catalog. AWS Glue Data Catalog (GDC) customers use it to manage structured data, like user activity and revenue reports, and complex geospatial data, like parcels, buildings, and mobility datasets. AWS services like EMR, Redshift, and Athena excel […]
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 Code extension, and CLI.
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
Introducing wkls: A Python Library for Instantly Accessing Global Administrative Boundaries
Why Defining Administrative Boundaries in Spatial Data is Hard If you’ve ever worked with spatial data, you probably needed to define a geographic boundary within which to conduct your analysis. Most of the time, these are administrative boundaries such as cities, states, provinces, countries etc. For instance, if you want to scope your analysis to […]
