From the Spokane firestorm to all of Washington: real-time wildfire monitoring for under $50 a pass

The moment a satellite pass lands, this pipeline turns it into a burn-severity map in 14 minutes: real-time wildfire monitoring with Python and Spatial SQL that protects lives and assets, shown on the Spokane firestorm and scaled to the entire state of Washington.

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 […]

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 Data in Apache Iceberg: Optimizations and Management That Matter

Spatial data in Apache Iceberg needs different optimization than tabular data. A geometry column has no natural sort order, so unsorted files carry wide, overlapping bounding boxes and query planners cannot prune them… At all… This behaviour turns a selective spatial filter into a full table scan. A second problem compounds it: one oversized geometry […]

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 […]

Building the Wherobots Mobility Solution Accelerator: A Technical Deep Dive

Three Notebooks, One Medallion Architecture, Full 4D GPS Trajectory Processing: Part 2 of 2