Decisions, not dashboards. The system disappears into the work.
We tell you what we don't know, and how sure we are about what we do.
Every model is validated against real fields and real harvests, every season.
Sentinel-1 backscatter mapped to biological state through models trained on continental-scale ground truth.
A separate model is trained for every individual parcel — detail at scale, not regional averages dressed up as field-level.
Medium-range weather sits next to long-range climate projection. The same software handles tomorrow and the next decade.
Two decades turning field observation into calibrated model inputs. Set the name, role, photo and bio for each member from the CMS.
C-band SAR processing and the calibration pipeline that maps backscatter to biological state.
Per-parcel growth models — a separate model trained for every individual field, validated against ground truth every season.








