7 Mins Read
15 Sep 2026
RasterFlow is now available in Public Preview
RasterFlow makes planetary-scale earth intelligence workflows easy and costs predictable. We are excited to announce that RasterFlow is now in Public Preview, opening up the power of planetary scale Earth Intelligence to all Wherobots Professional Edition customers! RasterFlow let’s you solve complex monitoring challenges with vision-language models or tailored models for specific use cases, without […]

Authors

Featured
7 Mins Read 15 Sep 2026

RasterFlow is now available in Public Preview

RasterFlow makes planetary-scale earth intelligence workflows easy and costs predictable. We are excited to announce that RasterFlow is now in Public Preview, opening up the power of planetary scale Earth Intelligence to all Wherobots Professional Edition customers! RasterFlow let’s you solve complex monitoring challenges with vision-language models or tailored models for specific use cases, without […]

Computer Vision + 4
Featured
5 Mins Read 2 Oct 2026

Wherobots for QGIS: Cloud-Scale Spatial Data, from Wherobots Labs

Wherobots for QGIS is a new plugin that connects QGIS to Wherobots Cloud. From a panel inside QGIS, an analyst can run spatial SQL against WherobotsDB, load the results as a map layer, push a local layer up to a Wherobots Iceberg table, and pull raster data into the canvas.  Why Wherobots for QGIS: Eliminating […]

News + 1
Featured
7 Mins Read 30 Sep 2026

How Wherobots builds with NVIDIA to let AI see the physical world

The world and what happens in it is digitized by petabytes of raw and derivative spatial datasets of various data types and scales, and the potential for applying AI to it is immense. But the AI models and agents we use every day need connectivity to tools that turn this data into usable insights and relationships. Wherobots gives AI the ability operate on and understand raw physical-world data, and NVIDIA GPUs are core to it. Architecturally here’s how this works at a high level.

Computer Vision + 2
Featured
10 Mins Read 24 Sep 2026

El Niño 2026, atmospheric rivers, and California’s burn scars: one SQL engine, two data models

7,713 mapped building footprints sit inside or within 500 m (1,640 ft) of the 42 Eaton basins USGS rates high hazard for debris flows, and 388 km (241 mi) of mapped road and path cross the low ground below the scar. WherobotsDB finds both in SQL: a join to the USGS basins for the buildings, and a raster vector join over elevation for the roads.

Engineering + 1
Featured
6 Mins Read 22 Sep 2026

Orchestrating Wherobots Jobs from AWS Step Functions: A Reference Architecture

When the execution engine is loosely coupled with orchestration, the pipeline is blind while waiting for one fact: did the job finish, fail, or die? This was the case with jobs running inside Wherobots Cloud and the AWS pipeline launching it… That was not cool with me, so we designed a reference implementation using AWS […]

Wherobots Cloud
Featured
8 Mins Read 16 Sep 2026

Measuring the Strait of Hormuz shutdown with Sentinel-2, WherobotsDB and Overture Maps

WherobotsDB read 719 Sentinel-2 scenes in place, fetched about 1.5 GB of the 151 GB, and joined the detections against Overture Maps land polygons to measure a 95% fall in traffic through the Strait of Hormuz corridor. Loading at Kharg and waiting at Fujairah held at 2025 levels, and the analysis cost about $63.

Engineering + 1
Featured
9 Mins Read 31 Aug 2026

How to score every building in a state for catastrophe risk: an exploration project

Part 1 of a series: What’s possible? I didn’t start this project to build a real risk model, not one that can be used by an insurer tomorrow. But it is a workflow that an insurer can put into practice to create their own risk scores with Wherobots and their own expertise. The idea was […]

Engineering + 2