Featured
7 Mins Read 4 May 2026

Detecting Objects From Text Prompts with RasterFlow and Segment Anything 3

Exploring the capabilities of Segment Anything 3 on high-resolution Earth observation data.

Computer Vision + 3
Featured
6 Mins Read 8 Apr 2026

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.

Physical AI + 1
Featured
8 Mins Read 10 Dec 2025

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.

Computer Vision + 4
Featured
4 Mins Read 26 Nov 2025

Wherobots and Taylor Geospatial Engine Bring Fields-of-the-World Models to Production Scale

Agriculture depends on timely, reliable insight into what’s happening on the ground—what’s being planted, what’s being harvested, and how fields evolve over time. The Fields of The World (FTW) project was created to support exactly this mission, by building a fully open ecosystem of labeled data, software, standards and models to create a reliable global […]

Computer Vision + 2
Featured
7 Mins Read 17 Dec 2024

WherobotsAI Raster Inference is GA with Support for Bring Your Own Model

We are excited to announce that WherobotsAI Raster Inference is now generally available! Raster Inference is a serverless, planetary-scale computer vision solution that extracts meaningful insights from aerial imagery (raster data) sources, such as satellites or drones, and puts these insights at the fingertips of data scientists and developers.

Computer Vision + 4
Featured
8 Mins Read 24 Jun 2024

Unlock Satellite Imagery Insights with WherobotsAI Raster Inference

Raster Inference makes satellite and drone imagery analytically and economically accessible to common developers

Computer Vision + 4