Based in Madison, Wisconsin, Agrograph is a pioneer in satellite-based agricultural intelligence, transforming how insurers, lenders, and agribusinesses assess risk and make decisions. Founded by a remote sensing scientist from the University of Wisconsin-Madison, the company combines satellite imagery with advanced machine learning algorithms to deliver precise, field-level crop data without requiring physical ground verification.
Agrograph provides both historical and in-season yield estimates, crop identification, and sustainability metrics across more than 800 million hectares globally. By utilizing over two decades of production data combined with advanced climate modeling, their platform delivers highly accurate yield predictions weeks ahead of traditional government reports. This allows users to understand risk variation below the county level and scale their operations globally.
Designed for crop insurers, asset managers, and agricultural enterprises, Agrograph’s solutions help clients price risk accurately, validate production history, and identify market opportunities. The company delivers its high-quality data seamlessly through RESTful APIs, shapefiles, and custom subscriptions, making it easy to integrate agricultural insights directly into existing workflows.