We use cutting-edge technology to process and analyse large amounts of satellite and geospatial data, providing actionable insights to improve operations, increase efficiency and drive growth.
“Reduced an agronomic production model error by 40%. This allows the customer to better predict the quantities being produced in near-real time, reduce food waste and production costs.”
“Agricultural businesses are exposed to climate change risks. We were able to map and model historical climate risks and forecast the spatial and temporal evolutions of the risks.”
“We were able to forecast the source of a storm induced power outage with a 3 km mean error, within 10 minutes after the power outage event.”
“Developed a PV solar production model with a mean absolute error of 5%, validated with local solar radiometer sensors. The model has the potential to be deployed globally.”