For plant managers & operations
Stop reacting to breakdowns. Start preventing them.
AI-powered monitoring that detects anomalies before they become stoppages. Your line keeps running. Your targets stay on track. Your maintenance team works proactively, not in crisis mode.
The problem
The cost of unplanned downtime
Every unplanned stoppage costs you output, overtime, and trust. Your maintenance team is skilled, but they're operating reactively — fixing what's broken instead of preventing what's about to break.
Scheduled maintenance helps, but it's based on time intervals, not actual equipment condition. You're either maintaining too early (wasting resources) or too late (eating downtime).
Pain points you recognize
- !Unplanned production stoppages disrupting targets
- !Maintenance schedules based on calendar, not condition
- !No early warning system for equipment degradation
- !Safety incidents from equipment failures
- !Overtime costs from emergency repairs
Sound familiar?
What maintenance strategies miss
Calendar-based preventive maintenance: replaces parts too early or too late
Manual inspections: dependent on experience, inconsistent across shifts
Basic vibration sensors: data without actionable insights
CMMS systems that track work orders, not equipment health
Our approach
Condition-based intelligence
We install sensors on your critical equipment, build baseline models of normal operation, and then continuously monitor for deviations that predict failure — days or weeks before it happens.
Critical asset mapping
Identify which machines cause the most costly downtime and where sensor data will have the highest impact.
Sensor deployment
Install vibration, temperature, current, and acoustic sensors — non-invasively, without disrupting production.
Baseline & model training
Collect normal operating data, build ML models that learn your equipment's specific behavior patterns.
Alerting & scheduling
Automatic alerts when anomalies are detected, with recommended maintenance actions and priority levels.
Results
The shift from reactive to predictive
Fewer unplanned stops
Detect degradation before it causes failure.
Optimized maintenance spend
Replace parts based on condition, not calendar.
Safer operations
Catch equipment issues before they become safety risks.
Data for capital decisions
Equipment health data to justify repair vs. replace.
How much is unplanned downtime costing you?
We'll assess your critical assets and show you what predictive monitoring can prevent.