Condition Monitoring & PredictM 4.0
Predictive Maintenance Before Failure Occurs
Condition monitoring and predictive maintenance with abnormal condition alerts and spare-parts demand prediction.
Everything you need to run a real-time factory
Live Condition Monitoring
Every connected asset tracked continuously, 15 minutes at a time.
Abnormal Alerts
Real-time alerts the moment a parameter goes out of range.
Predictive Maintenance
Failures predicted before they cause a stoppage.
Spares Forecasting
Know what spare parts you'll need, before you need them.
Your Factory, Live
Business Benefits
Fewer Unplanned Stoppages
Abnormal condition alerts catch problems before they cause a breakdown.
Lower Spares Inventory Cost
Demand prediction avoids over-stocking spares.
Data-Backed Maintenance
Condition data replaces guesswork in maintenance planning.
What's Slowing You Down vs. What Condition Monitoring & PredictM 4.0 Fixes
Equipment failures show up as sudden, unplanned stoppages.
Digital twin models predict failures before they cause downtime.
Abnormal machine conditions go unnoticed until something breaks.
Real-time alerts fire the moment a parameter goes abnormal.
Spare parts are ordered reactively, after a failure occurs.
Spare-parts demand is forecast ahead of need, preventing stockouts.
Asset replacement due-dates live in someone's memory or a spreadsheet.
Replacement history and due dates are tracked automatically per asset.