Agricultural detail at scale
About

Agribot AI

Agribot AI is an agricultural modelling company that combines Earth Observation, agricultural forecasting, mechanistic modelling and historical field behaviour to predict agricultural productivity at field scale

Our technology is
01
Scientifically Proven

Two decades of peer-reviewed research.

Our models are built on two decades of published academic research, translating cutting-edge science into practical tools for agriculture.

02
Ground-Truthed

Tested with real farmers

Validated with plate meter readings and live farmer feedback, ensuring our models deliver insights you can trust.

03
Constantly Learning

Evolving Models

Our models are retrained every week using the latest satellite observations, weather forecasts and field behaviour, continually improving the accuracy of every prediction.

The foundations

Radar science

C-band SAR, calibrated

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

Machine learning

Per-field growth

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

Climate

Medium-range to 2090

Weather tells you what's coming next. Climate tells you what's changing. Agribot brings both together in one intelligence platform.

Agribot Team

Dr Emma Chapelhow

Dr Emma Chapelhow

COO

Emma has been around farming her whole life. After completing her PhD in Agriculture, she spent her career helping innovative agricultural technologies reach farmers and industry. In 2026, she was recognised with the Rising Star Award at the National Women in Ag Awards. As COO, Emma leads our operations and works closely with customers and partners to bring Agribot AI to market.

Dr Chris Knight

Dr Chris Knight

CEO

Chris has always been fascinated by using AI to solve complex real-world problems. Before founding Agribot AI, he built AI and geospatial systems across the space, defence, medical and high-frequency trading sectors. He holds a BSc in Artificial Intelligence and Robotics and a PhD focused on how weather patterns influence and predict crop yields. Today, Chris leads Agribot AI's technology and product development, helping turn scientific research into practical intelligence for agriculture.

Agustin Paramio

Agustin Paramio

Lead Developer

Agustín is the engineer behind Agribot AI's cloud platform. Specialising in AWS infrastructure, distributed systems and full-stack development, he builds the scalable technology that powers our models and products. From processing vast amounts of Earth Observation data to delivering reliable APIs, Agustín ensures our platform is ready to grow as we do.

Jos Lovegrove-Fielden

Jos Lovegrove-Fielden

CFO

ACA-qualified Chartered Accountant with experience in venture finance, company building and supporting high-growth businesses. Brings commercial and financial discipline to Agribot alongside deep roots in farming and a practical understanding of the agricultural sector.

Working with
AHDBEIT FoodThe UK Agri-Tech CentreInnovate UKDefraSatellite Applications CatapultGitLabAWSGoogleCloudFerro
Where we work
Globally
Radar satellites see every field on Earth every few days.
Partners
Who we work with
Government, science, and industry collaborations
Mission
Climate-resilient food systems
Decisions that honour the individuality of natural systems