Doxazo Consulting delivers machine learning solutions for industrial operations. From predictive maintenance to process optimisation and yield forecasting, we turn raw data into decisions that drive real results. Built by engineers, for engineers.
Detect equipment failures before they occur using advanced LSTM and XGBoost models integrated directly with your control systems.
Accurate process yield predictions using multivariate deep learning models trained on real operational data from your facility.
Every prediction comes with a clear, interpretable explanation using SHAP values so your team understands the reasoning behind every result.
End-to-end classification pipelines for quality control, anomaly detection and process categorisation across industrial environments.
Production-ready machine learning applications deployed on AWS EC2 with Flask, accessible from any browser and running continuously.
Interactive Power BI dashboards that transform raw industrial data into actionable insights for operational and management teams.
Doxazo Consulting was founded by an MSc Chemical Engineering graduate with deep hands-on experience in industrial processes and machine learning. We sit at the intersection of engineering domain knowledge and modern artificial intelligence, a combination that is uncommon and genuinely valuable when deploying models in real operational settings.
Our work spans predictive analytics, process optimisation, deep learning forecasting and explainable AI. We do not just build models. We build systems that operators can trust, understand and act on. Every prediction we deliver comes with a clear explanation of the reasoning behind it.
We take a rigorous, evidence-based approach to every engagement. Our solutions are tested, documented and built to perform under real-world conditions.
If you have an industrial machine learning challenge, we would like to hear about it. Whether you need predictive maintenance, yield forecasting or a full ML pipeline, send us a message and we will respond promptly.