Predictive Maintenance AI
Fix It Before It Breaks. Reduce Downtime by 40%+.
What we do
Unplanned downtime is the most expensive operational event in manufacturing, energy, and logistics. Predictive maintenance AI uses sensor data and historical failure records to predict equipment failures days or weeks in advance — letting maintenance teams intervene at the lowest cost and safest time.
Ideal for
Manufacturing, energy, logistics, and facility management organisations with expensive equipment where unplanned downtime has high business impact
Common applications
Remaining Useful Life (RUL) Prediction
Predict how many operating hours remain before a component is likely to fail — enabling just-in-time maintenance scheduling.
Anomaly Detection from Sensor Data
Detect abnormal vibration, temperature, pressure, or current patterns from IoT sensors before they escalate to failures.
Failure Mode Classification
Classify detected anomalies by failure mode — helping maintenance engineers prioritise and prepare the right intervention.
Maintenance Work Order Optimisation
Combine predictive failure risk with technician availability and parts stock to generate optimised maintenance schedules.
Wind Turbine & Solar Asset Monitoring
Apply predictive models to renewable energy assets — maximising uptime and reducing operations & maintenance costs.
Fleet Vehicle Health Monitoring
Monitor vehicle sensor data from logistics fleets to predict engine and component failures before they cause breakdowns.
How we work
Sensor Data Assessment
Evaluate sensor availability, sampling rates, historical failure records, and data quality for each asset type.
Feature Engineering
Design rolling statistics, frequency domain features, and lagged sensor readings that capture degradation patterns.
Model Development & Validation
Train and validate RUL or anomaly detection models. Benchmark precision and recall against maintenance team's knowledge.
Alert Integration & Handover
Integrate model predictions with your CMMS or maintenance scheduling tool. Train the maintenance team on alert response.
What you receive
- Trained predictive maintenance model with evaluation report
- Real-time sensor data ingestion pipeline
- Predictive alert integration with CMMS or dashboard
- Feature engineering pipeline with scheduled retraining
- ROI analysis: projected downtime reduction
- Source code ownership and model documentation
Ready to get started?
Let's discuss your requirements. No commitment, no sales pitch — just a focused conversation about your situation.
Book a free discovery call