Field-Level Agricultural Intelligence for Critical Business Decisions

Access global historical production data and current crop insights through API and data subscriptions—without the cost and complexity of traditional data collection.

Agricultural Data Gaps Create Three Critical Constraints:

Market Entry Barriers: Missing data prevents launching new products or entering new geographic markets

Operational Inefficiency: Manual data collection and verification processes drain resources

Risk Blind Spots: Incomplete historical or current production data leads to poor risk assessment

Trusted by businesses big and small across the globe

Field-Level Intelligence, Delivered as Answers

Granularity: Field-level insights vs. regional/county aggregates

Historical Depth: Access to past production data that's difficult or impossible to obtain manually

Accessibility: Data delivered as answers, not raw information requiring interpretation

Economic Efficiency: Faster, cheaper access than traditional collection methods

Discover how Agrograph Serves Industry Leaders

Insurance

Fill Critical Data Gaps Blocking Your Insurance Growth

Land Management

Enhance Your Platform Without Building Data Infrastructure
Verify Agricultural Sustainability Claims with Field-Level Data

Sustainability

Featured Case Study

Agrograph Develops Scalable Middle East Crop Identification Model for USDA

Agrograph partners with USDA to develop a Middle East crop identification model