Predictive Maintenance & AIOps

Maintenance Maturity

Where most organisations are today

Reactive

Assets run until they fail. Unplanned downtime, emergency repairs and spare-part shortages drive cost and disruption.

Preventive

Maintenance runs on fixed schedules. Failures reduce, but parts are often replaced early and hidden faults are still missed.

Predictive

Asset condition is monitored continuously. Models flag developing faults so maintenance is planned exactly when it is needed.

What We Build

Condition monitoring

Collection of vibration, temperature, current, pressure and other signals from critical assets through the IIoT platform.

Anomaly detection

Machine learning models that learn normal behaviour for each asset and flag deviations early, with explainable alerts.

Remaining useful life

Models that estimate how long an asset can safely run so maintenance and spare parts can be planned in advance.

CMMS integration

Alerts create or update work orders in your maintenance system so predictions become scheduled action.

AI agent for maintenance teams

A natural-language assistant over asset history, manuals and past work orders that helps technicians diagnose issues faster.

AIOps for IT and OT operations

Alert correlation, noise reduction and automated triage across infrastructure and industrial systems.

Delivery Approach

Asset prioritisation

We identify the assets where failure is most costly and data is available or can be added.

Data readiness

Sensor coverage, data quality and historical failure records are assessed and gaps are closed.

Model build and validation

Models are built and validated against real failure history with maintenance engineers in the loop.

Workflow integration

Predictions are connected to CMMS, alerts and dashboards so they drive decisions on the floor.

Continuous retraining

Model performance is monitored and models are retrained as assets, processes and conditions change.

Proof in Practice

Start with the assets that hurt most when they fail. We will scope a pilot that proves value on real production data.