AI Solutions
Machine learning and AI are purpose-built for the operational realities of bioenergy and industrial environments.
Industrial AI That Works in the Real World
We do not just apply AI. We engineer it to be reliable, explainable, and valuable in the messy reality of plant operations.
Predictive Maintenance
ML models trained on vibration, temperature, and runtime data predict equipment failures 24 to 72 hours in advance.
Anomaly Detection
Real-time statistical and deep learning models flag unusual patterns in process data before they become costly incidents.
Yield Forecasting
Accurate production forecasting for biogas and bioenergy assets using weather, sensor, and historical data.
NLP & Document AI
Extract structured data from permits, inspection reports, contracts, and maintenance logs automatically.
Computer Vision
Visual inspection automation using camera feeds for waste sorting, quality control, and safety monitoring.
AI Agents
Autonomous agents that execute multi-step workflows, from scheduling maintenance to drafting compliance reports.
From Proof of Concept to Production
Most AI projects fail in the gap between a promising demonstration and reliable production deployment. We bridge that gap with robust data engineering, rigorous model validation and operational monitoring built in from day one.
- Trained on your historical operational data, not generic datasets
- Explainable outputs that operators can act on with confidence
- Continuous model retraining as conditions change
- Full integration with your existing SCADA, CMMS and ERP systems
Let's Digitalise
Your Operation
Whether you need to connect your systems, manage operations or optimise plant
performance, our team responds within one business day.