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Agrograph

Agrograph is a provider of satellite-based, machine-learning crop intelligence delivering field-level yield estimates and agricultural risk data to insurers, lenders, and agribusinesses.

Last updated September 15, 2026

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Overview

Agrograph is a satellite-based crop intelligence provider founded in 2014 by Dr. Mutlu Özdogan, a remote sensing scientist at UW-Madison. The company uses machine-learning models trained on 24 years of production data from 85,000 fields, enriched with climate data, to turn satellite imagery into field-level yield intelligence. It maps 800 million hectares worldwide across all major row crops, serving crop insurers, asset managers, and agricultural enterprises. Its CEO is Taralinda Willis.

History

Agrograph was founded in 2014 by Dr. Mutlu Özdogan, a remote sensing scientist at UW-Madison, who recognized that satellite imagery could reveal what was actually happening in farm fields without anyone having to step foot on the ground. Combining this insight with machine-learning algorithms developed through years of academic research, Agrograph was born. Since 2014, the company has grown to become a trusted provider of satellite-based crop intelligence, monitoring millions of acres across the globe each growing season and continuously refining its models to deliver yield predictions and sustainability metrics. Today, Agrograph serves crop insurers, asset managers, and agricultural enterprises.

Products and positioning

Satellite-derived, AI-powered agricultural production and hazard insights for insurers, lenders, and agribusinesses.

  • Field-level yield estimates

    Historical and in-season field-level yield estimates that help insurers price risk, launch new products, and identify opportunities hidden within county averages.

  • Satellite-derived production and hazard data

    Satellite-derived production and hazard data reveal risk variation that county-level datasets can't capture.

  • In-season yield forecasting

    In-season forecasts provide early visibility into production trends.

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