Predictive Maintenance
Know when machines need fixing before they break. IoT sensors and AI predict failures weeks in advance, eliminating costly unplanned downtime.
The Problem
These challenges are costing UK businesses millions every year.
Unplanned downtime costs UK manufacturers £180bn annually
82% of equipment failures are random and unpredictable
Emergency repairs cost 3-9x more than planned maintenance
Key Capabilities
Vibration Analysis
Detect bearing wear, imbalance, and misalignment before failure.
Thermal Monitoring
Spot overheating components and electrical issues early.
Pattern Recognition
AI learns your equipment's normal behavior and flags anomalies.
Failure Prediction
Get 2-4 weeks advance warning of potential breakdowns.
Maintenance Scheduling
Optimize maintenance windows to minimize production impact.
Cost Tracking
See exactly how much downtime and emergency repairs you're avoiding.
Measurable Results
Real impact for your bottom line
Reduction in downtime
Lower maintenance costs
Advance failure warning
Extended equipment life
How It Works
Equipment Audit
We identify your critical machines and failure modes.
Sensor Installation
Non-invasive IoT sensors are fitted to key equipment.
Baseline Learning
AI learns normal operating patterns over 2-4 weeks.
Alert Configuration
Custom thresholds set for your risk tolerance.
Continuous Monitoring
24/7 monitoring with predictive alerts and recommendations.
£30,000 - £80,000
Setup, training & support
8-12 weeks implementation
Kickoff to go-live
2x – 4x
Return within 12 months
Ready to Get Started?
Get a free assessment of how Predictive Maintenance can improve your operations.