Sector
Decisions backed by data
Field-level sensing, weather integration, and predictive analytics for corn, soy, wheat, and large-scale commodity operations.
-18%
Input cost savings
2M+
Acreage monitored
+12%
Yield improvement
+27%
Water efficiency
Capabilities
Distributed soil moisture, temperature, and nutrient probes across every field, giving you a real-time picture of ground conditions at depth.
Hyperlocal weather data fused with field sensors to predict frost, drought, and disease pressure before they impact your crop.
Machine learning models combine satellite imagery, soil data, and weather forecasts to project yields by field, zone, and crop variety.
High-resolution zone maps identify variability across your acreage, enabling variable-rate planting, fertilizing, and irrigation.
Variable-rate prescriptions for seed, fertilizer, and crop protection, reducing waste while maximizing the potential of every acre.
Live commodity prices and market signals integrated with your production data, so you can time sales for maximum margin.
The Process
We deploy soil probes, weather stations, and satellite-linked sensors across your fields, building a complete picture of every zone and condition.
Our AI models correlate soil, weather, and satellite data with your crop varieties to predict yields, disease pressure, and optimal input timing.
Variable-rate prescriptions and automated alerts guide planting, fertilizing, irrigation, and harvest timing, optimizing inputs and maximizing yield.