Planetary-scale answers, unlocked.
A Hands-On Guide for Working with Large-Scale Spatial Data. Learn more.
Ben lead's the go-to-market team at Wherobots. He has worked in distributed compute and SaaS applications for over a decade and enjoys customer storytelling, creating mutual value, and building innovative solutions on the edge of what's possible.
Learning Wherobots by Building a National AI Data Center Suitability Report
This guest post is from a Wherobots user George Chandeep Corea, which covers an exploration of how he used Wherobots MCP with his preferred AI coding tools to build the interactive AI data center site suitability analysis tool below. The following quote is from his own biography. Learning by Doing Below is a working national […]
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 context engine for physical world […]
How Bad Telemetry Data Sabotages Modern Fleets
By the Teams at Action Engine & Wherobots Fleet monitoring is undergoing a generational shift. Fleet monitoring, the systems that ingest and analyze vehicle telemetry to track fleet health, performance, and safety, has become the foundation of how operators run vehicles, not just track them. Modern vehicles generate orders of magnitude more telemetry than even […]
Introducing the Wherobots Innovation Edition, designed to accelerate your physical world objectives
The Wherobots Innovation Edition helps you deliver outcomes on top of spatial data that propel your organization forward, and make this data AI-ready. Today we are announcing the Wherobots Innovation Edition. This is an annual partnership that pairs the full Wherobots Cloud platform with our forward deployed spatial engineering expertise, developed over years of delivering […]
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 […]
Wherobots and Felt Partner to Modernize Spatial Intelligence
We’re excited to announce Wherobots and Felt are partnering to enable data teams to innovate with physical world data and move beyond legacy GIS, using the modern spatial intelligence stack. The stack with Wherobots and Felt provides a cloud-native, spatial processing and collaborative mapping solution that accelerates innovation and time-to-insight across an organization. What is […]
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, with ease and efficiency at any scale.
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 and renewable energy deals,” the company joined a new wave of data and AI startups reimagining how physical-world data drives modern business. Their mission: help institutional land investors rapidly evaluate the value and potential uses of land across the country. […]
Wherobots Spatial Intelligence Engine Integrates with Databricks Unity Catalog for Spatial Data
Wherobots now federates with Databricks Unity Catalog to bring leading spatial data and GeoAI capabilities to the lakehouse.
