Evidence in environment & sustainability.
Sensor-driven environmental monitoring, ESG and regulatory-conformance systems, and controlled-environment agriculture, engineered to catch risk in real time and prove it at scale — labelled by its actual evidence status.
Real-time soil, air & water quality analytics
Mercury combines IoT sensors placed in fields, buildings and on machinery with machine learning to monitor nitrates, phosphates, sediment, soil and air quality in real time — live and in active use across multiple farms, and proven further through Ceres, Agxio’s controlled-environment agriculture platform, where robotics and automated control systems actively manage growing conditions across live CEA sites. Agxio⋅Intelligence builds the underlying anomaly-detection and risk-scoring models directly from raw sensor streams, Agxio⋅TimeSeries forecasts trend trajectories ahead of threshold breaches, and Agxio⋅Cognition turns sensor and lab results into audit-ready, plain-language reporting for compliance and operations teams.
ESG framework & regulatory-conformance monitoring
Agxio built a full ESG framework and monitoring system engineered for regulatory conformance — structuring environmental, social and governance data into a single governed model, then continuously monitoring it to flag drift against reporting thresholds before a compliance deadline is missed. Agxio⋅Intelligence builds the underlying scoring and anomaly-detection models across structured and unstructured ESG data sources, Agxio⋅Cognition turns raw evidence into audit-ready regulatory narrative and disclosure text with full source traceability, and Agxio⋅TimeSeries tracks metric trajectories against regulatory targets over time.
Robotic environmental control for antimicrobial resistance management
Agxio monitors and optimises environmental conditions — temperature, humidity, airflow and hygiene-relevant variables — to robotically manage farm environments as part of antimicrobial resistance (AMR) management, reducing the conditions that drive infection pressure and antibiotic use rather than only treating outbreaks after the fact. Agxio⋅Intelligence models the relationship between environmental variables and infection risk, Agxio⋅TimeSeries forecasts when conditions are trending toward an AMR-risk threshold, and Agxio⋅Cognition closes the loop with defensible, audit-ready intervention records for vets and regulators.
Nitrogen Vulnerable Zone measurement & management, nationally
Agxio measures and manages Nitrogen Vulnerable Zone (NVZ) compliance at national scale — aggregating sensor, soil and water-quality data across designated zones to track nitrate loading against regulatory limits and target where intervention will do the most good. Agxio⋅Intelligence builds the predictive nitrate-loading models from soil, weather and land-use data, Agxio⋅TimeSeries forecasts trajectory against seasonal thresholds, and Agxio⋅Cognition generates the audit-ready reporting that underpins regulatory submissions at national scale.
We label every result by its actual status — historical demonstration, completed programme, pilot or evaluation, beta, product capability, or live deployment — and update labels as work progresses. We do not present a benchmark result as a production outcome, a beta as a finished product, or a pilot as a deployment.
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We’re glad to walk through methodology, data provenance and evaluation design for any case here.
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