Crop Type Segmentation
Automatically identify crop types and field boundaries from high resolution satellite imagery using AI powered image segmentation. Generate parcel level crop maps for monitoring, inventory, and agricultural planning.
Agritech intelligence
Crop intelligence from orbit.
Earth Observation and machine learning applied to the field: what is growing, how it is doing, and what the climate will let it do next.
Crop Health Monitoring
Monitor crop vigor, vegetation health, and seasonal stress using Earth Observation, vegetation indices, and climate data. Detect anomalies early to support precision agriculture and crop management.
Climate Driven Crop Suitability
Machine learning models integrate climate variables, soil properties, terrain, and Earth Observation data to assess crop suitability under current and future CMIP6 climate scenarios, supporting sustainable agricultural planning and climate adaptation.
Risk & response
From exposure to damage assessment.
What the climate does to the crop, priced for the people who carry the risk — and measured fast when an event lands.
Climate Impact Assessment
Assess the impacts of heat, drought, flood, and water stress on agricultural systems under current and future climate scenarios. Quantify climate exposure to support adaptation planning and resilient food production.
Agricultural Risk Scoring
Quantify climate exposure and agricultural risk at farm, estate, and regional scales by integrating hazards, exposure, and vulnerability. Support lenders, insurers, agribusinesses, and policymakers with actionable risk intelligence.
AI Powered Crop Damage Assessment
Automatically detect and quantify crop damage caused by floods, droughts, wildfires, cyclones, and other extreme events using Earth Observation and AI based image analysis. Generate rapid assessment reports for insurance, disaster response, and recovery planning.