Wherobots Launches RasterFlow to Make Earth Observation Data AI-Ready at Scale
Wherobots, the spatial intelligence cloud that enables data innovation, has introduced RasterFlow, a new service designed to simplify how organizations apply AI and machine learning to satellite and overhead imagery. Built by the creators of Apache Sedona, RasterFlow automates imagery mosaicking, preprocessing, model execution, and change detection in a single workflow, removing much of the custom engineering traditionally required to productionize geospatial AI. The platform enables faster deployment of custom models on proprietary imagery while writing results to Apache Iceberg tables for downstream use in platforms such as Databricks and Snowflake.
The launch comes as enterprise investment in Earth intelligence accelerates. The aim of RasterFlow is to turn raw imagery into actionable insights to combine with enterprise data and AI to produce effective risk assessments and optimization routes, among other uses. Early users and partners, including the Taylor Geospatial Institute and Spyrosoft, are applying RasterFlow to use cases ranging from agriculture and climate analysis to logistics and risk assessment. For data and AI teams, RasterFlow reflects a broader shift toward treating geospatial data as a first-class input for real-time, production AI systems rather than a specialized analytics niche.
Posted by Pure AI Editors on 01/05/2026