X10AI combines high resolution remote-sensing data with on-farm records to create a digital twin which provides a complete picture of nutrient pathways.
Our solution empowers farmers, policymakers, investors and retailers to understand not only how much nutrient is applied, but where it goes, how it interacts with the land, how much is used by the crop, and what is lost. And more importantly, it demonstrates how these dynamics change over time and under different weather conditions or land management choices.
MAPPING NUTRIENTS. CAPTURING CARBON. POWERING SUSTAINABLE AGRICULTURE.
A science-driven platform to track nutrient flows, optimise carbon recovery, and support sustainable decision-making for farmers, policymakers, and industry partners.
X10AI combines high resolution remote-sensing data with on-farm records to create a digital twin which provides a complete picture of nutrient pathways.
Our solution empowers farmers, policymakers, investors and retailers to understand not only how much nutrient is applied, but where it goes, how it interacts with the land, how much is used by the crop, and what is lost. And more importantly, it demonstrates how these dynamics change over time and under different weather conditions or land management choices.
Tailored benefits & insights for real-world decisions.
Tailored benefits & insights for real-world decisions.
X10AI’s flexible architecture allows for tailored solutions to be delivered to a diverse range of agricultural stakeholders – from improving farm profitability to enabling regional nutrient trading schemes.
An intelligent mapping and modelling solution
x10 AI functions as an intelligent platform that models nutrient and carbon dynamics across complex farming systems using multi-layered, real-time data integration. At its core, the system maps nutrient and carbon flows from their points of entry – such as imported feed, synthetic fertiliser, or organic manures – through their interactions with crops, soil, and animals, and finally to their fate: crop uptake, soil retention, runoff, emissions, or capture for reuse.
Another key functionality is Digital Twin Modelling. Farmers can simulate multiple scenarios – e.g., installing willow buffers, switching to organic fertiliser, applying digestate only on TWI-safe areas – and see the predicted impacts in terms of nutrient recovery, emissions reduction, and compliance scores.
Driven by a team of experts
Our multidisciplinary team brings together agricultural scientists, GIS experts, environmental engineers, software developers, and data analysts with a shared mission: to close the loop on nutrient flows and carbon cycles.
In addition, our collaboration model reflects our core values. We partner with organisations such as EnviroCrops for biomass data, integrate with DAERA for compliance alignment, and link with academic institutions like QUB for continuous validation. Through ongoing pilot projects and real-world case studies, x10AI remains adaptive, incorporating user feedback and emerging datasets into our development roadmap.
