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.

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 […]

Enabling Meta’s SAM 2 model for Geospatial AI on satellite imagery

Easily perform object detection and segmentation on terabyte scale satellite and aerial imagery, on-demand, prompted by text with Raster Inference.

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.

Unlock Satellite Imagery Insights with WherobotsAI Raster Inference

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

Introducing WherobotsAI for planetary inference, and capabilities that modernize spatial intelligence at scale

UPDATE: Raster inference is included in Wherobots RasterFlow. See Wherobots Get Started with RasterFlow – Wherobots for the most up-to-date workflows. We are excited to announce a preview of WherobotsAI, our new suite of AI and ML powered capabilities that unlock spatial intelligence in satellite imagery and GPS location data. Additionally, we are bringing the […]