Unplanned downtime costs the world’s top manufacturers USD 1.4 trillion every year — around 11% of total revenue.

Traditional predictive maintenance tools detect symptoms; AI detects root causes.

With AI, your maintenance program gains:

→ Early Detection: Always-on monitoring surfaces issues before escalation

→ Reliable Insights: Evidence-based alerts connected to actionable work orders

→ Complete Visibility: One platform that unites vibration, oil, and thermal data

→ Validated Decisions: Transparent AI models that show why each alert fires

1. How AI Changes the Routine

→ Move from monthly checks to continuous monitoring with confidence scoring and fault-specific insights.

2. Smarter Intervention, Lower Cost

→ Diagnose before escalation. Time repairs to condition and reduce labor and parts spend.

3. Alert Precision, Not Alert Fatigue

→ Prioritize the right work with AI-ranked alerts by severity and asset criticality.

4. Unified Intelligence for Maintenance

→ Centralize vibration, oil, thermography, and ultrasound into one asset timeline for faster, evidence-based action.

Ingredion (Food & Beverage)

– USD 1.6M in production savings

– 168 hours of downtime avoided

CP Kelco (Chemicals)

– USD 446K in total savings

– 84 hours of avoided downtime

Both achieved measurable ROI by turning insights into planned work orders — not emergency calls.