Built for two high-stakes buyer verticals.
Crop insurers pricing MPH and named-peril policies at APN level rather than RMA county average. Commodity trading desks constructing independent satellite supply signals orthogonal to WASDE consensus. Two distinct workflows — one underlying data product.
Crop Insurance Analytics
Replace RMA county loss-cost proxies with field-polygon satellite yield estimates at APN level. Stratify enterprise-unit portfolios by P10/P50/P90 distribution before premium pricing, detect NDVI stress anomalies mid-season before claims arrive, and support indemnity adjudication with objective satellite crop-development records.
Commodity Trading Intelligence
Access crop supply signals that are methodologically orthogonal to USDA crop condition surveys and broker-derived consensus. Aggregate field-level NDVI yield estimates into state and national supply trajectories, receive automated NDVI anomaly flags by Crop Reporting District, and backtest trajectory signals against 8 years of WASDE actuals.
Your vertical. The same underlying data.
Both use cases run on the same Terraxiq REST API — field-level NDVI estimates, P10/P50/P90 yield distributions, and regional anomaly signals. Request access and specify your primary use case: crop insurance, commodity trading, or both.