Technology that learns
from real crops.

Multi-platform imaging that reveals stress, variability and opportunities across your entire operation. So you know exactly where to act.
HOW WE'RE BUILDING

Designed to get smarter with every deployment

We've built our platform so that every grower trial, every image capture and every season of data feeds directly into our models. As we grow, so does the intelligence behind every insight.
Data
Flywheel
Scan
Detect
Learn
Deliver

Real crop data from real farms, improving with every season

We're building our models on stress data collected during grower trials across UK and New Zealand - real disease events, water stress and nutrient deficiencies observed in production environments, not laboratory settings.

As we work with more growers, the dataset grows and our detection improves. Each new farm, crop type and growing season adds to models that become more accurate over time - for every grower in the network.

FOR EARLY ADOPTERS

Growers are shaping the models that will define how crop stress is detected across the industry. You benefit first as accuracy improves and your data contributes to something bigger than any single farm.

OUR TECHNOLOGY

Machine learning models trained on operational crop data, designed to improve continuously as our grower network expands. We're building applied AI with a clear path from early trials to scalable, automated insight.

Why we exist

Decisions in crop management are often made too late.

By the time issues are visible on the ground, yield loss and ineffienciey have already occured. Exising tools are either too slow, too complex, limited in their visibility or difficult to deploy at scale.

Project Voxel was created to give growers and their partners clear insight into the condition of their crop and land.
Crop-agnostic and region-agnostic by design
Works with the imaging tools growers already use
Built for growers, agronomists and their partners

What we do

We turn satellite, drone and ground-level data into actionable crop intelligence. The platform shows you exactly where stress, variability and opportunity exist across your operation.

Whether you're managing a single vineyard or monitoring across multiple sites, the platform adapts to your operation. We combine imaging at every scale, from satellite coverage to row-level drone detail, so you always have the right view for the decision you're making.
Visualise crop health from field level to individual rows
Detect stress patterns across disease, water, and nutrient factors
Track change over time with seasonal comparisons

Built by technologists, trusted by growers

Experience spanning machine learning, remote sensing and venture-backed product development - validated by growers in the UK and New Zealand.

Our story so far

Project Voxel is founded

Born from early vine imaging trials at Ponderosa Vineyard in Marlborough, Hamish and Maadhav register Project Voxel Limited with a mission to make precision crop monitoring accessible at scale. The idea resonates; Project Voxel joins Geovation Scotland's accelerator programme, is selected for Bethnal Green Ventures' tech for good cohort and receives backing from Google for Startups.

A photograph of Project Voxel's founders, Maadhav Kothari and Hamish Haddow standing in front of Tower Bridge in London

Grower trials go live

First commercial trials launch across UK and New Zealand vineyards. Operational stress data, disease, water stress, nutrient deficiency — starts flowing into our detection models.

Supported by
Bet
Geovation Scotland Logo
Registers of Scotland
Ordnance Survey
Google for Startups