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.

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.

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

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 […]

Scaling Spatial Analysis: How KNN Solves the Spatial Density Problem for Large-Scale Proximity Analysis

How we processed 44 million geometries across 5 US states by solving the spatial density problem that breaks traditional spatial proximity analysis

Wherobots brought modern infrastructure to spatial data in 2025

We’re bridging the gap between AI and data from the physical world in 2026

The Medallion Architecture for Geospatial Data: Why Spatial Intelligence Demands a Different Approach

When most data engineers hear “medallion architecture,” they think of the traditional multi-hop layering pattern that powers countless analytics pipelines. The concept is sound: progressively refine raw data into analytical data and products. But geospatial data breaks conventional data engineering in ways that demand we rethink the entire pipeline. This isn’t about just storing location […]