Technology
AI & Machine Learning
Models that turn raw imagery and sensor streams into decisions — detection, classification and forecasting at scale.
Every layer of our stack — satellite monitoring, drone imagery, IoT sensor streams — produces raw data. Machine learning models are what turn that raw data into a usable signal: a flooded plot, a stressed crop zone, a change worth flagging.
Models are continuously calibrated against ground-truth sensor and field data to hold their accuracy across seasons and geographies.
What this includes
Detection & classification
Identifying crop stress, land cover and change events from imagery.
Forecasting models
Projecting yield, risk and monitoring outcomes ahead of time.
Continuous calibration
Ground-truth sensor data keeps models accurate over time.
Ready to talk about AI & Machine Learning?
Tell us about your use case — we'll walk you through how this works in practice.