EOS Data Analytics

EOS Data Analytics (EOSDA), founded in 2015 and headquartered in Draper, Utah (with engineering in Ukraine), is an AI-powered satellite remote sensing analytics company specializing in agriculture and land monitoring, providing the EOSDA Crop Monitoring precision agriculture platform to farmers, agronomists, and insurance companies in 160+ countries.

EOSDA's Crop Monitoring platform processes Sentinel-2, Landsat, and commercial satellite imagery through vegetation index algorithms (NDVI, EVI, NDMI) and ML models to provide field-level insights: crop health maps identifying stressed vegetation zones before visible symptoms appear, soil moisture tracking for irrigation optimization, historical productivity mapping for variable-rate fertilizer application zone delineation, and regional yield forecast models correlating satellite-observed biomass accumulation with historical yields. The platform supports over 60 crop types and integrates with precision farming equipment through API connections to major agricultural machinery platforms.

EOSDA achieved a notable ESG milestone during the Russian invasion of Ukraine: the company provided free access to its Crop Monitoring platform for all Ukrainian farmers to support agricultural operations continuity during wartime, a decision reflecting both the company's Ukrainian engineering heritage and the agricultural sector's critical importance to Ukraine's economy. Ukraine is one of the world's largest wheat, corn, and sunflower exporters, and satellite monitoring became essential for assessing damaged fields, tracking crop planting progress, and supporting war damage compensation programs.

EOSDA is developing its own Earth observation satellite constellation (EOS SAT) to provide dedicated agriculture-optimized imagery with spectral bands and revisit frequencies designed specifically for crop monitoring applications, supplementing commercially purchased imagery. The company has over 200 employees across US, Ukraine, and other locations.

EOSDA competes with Satellogic, Granular (Corteva), Trimble Agriculture, and aWhere in the precision agriculture analytics market.