Agricultural detail at scale
About

Built by people who
walk the fields.

Agribot is a small team of agronomists, radar engineers and ML researchers, building the quiet layer that sits between satellite data and a farm decision.

What we believe
01
Quiet

Software you forget about.

Decisions, not dashboards. The system disappears into the work.

02
Honest

Confidence intervals, always.

We tell you what we don't know, and how sure we are about what we do.

03
Calibrated

Ground truth or it didn't happen.

Every model is validated against real fields and real harvests, every season.

The foundations

Two decades of peer-reviewed research.

Radar science

C-band SAR, calibrated

Sentinel-1 backscatter mapped to biological state through models trained on continental-scale ground truth.

Machine learning

Per-parcel growth

A separate model is trained for every individual parcel — detail at scale, not regional averages dressed up as field-level.

Climate

Medium-range to 2090

Medium-range weather sits next to long-range climate projection. The same software handles tomorrow and the next decade.

The team

The people behind the models.

TM

Team member

Agronomy lead

Two decades turning field observation into calibrated model inputs. Set the name, role, photo and bio for each member from the CMS.

TM

Team member

Radar engineering

C-band SAR processing and the calibration pipeline that maps backscatter to biological state.

TM

Team member

Machine learning

Per-parcel growth models — a separate model trained for every individual field, validated against ground truth every season.

Working with
AHDBEIT FoodThe UK Agri-Tech CentreInnovate UKDefraSatellite Applications CatapultGitLabAWSGoogleCloudFerro
Where we work
UK, Ireland, Portugal, EU
Initial markets, expanding via EIT Food
Partners
AHDB · ECMWF · ESA
Government, science, and industry collaborations
Mission
Climate-resilient food systems
Decisions that honour the individuality of natural systems