The Problem
Most Indian plants still run reactive or calendar-based maintenance. The result is unplanned breakdowns, overtime emergencies, premature part replacements and OEE that plateaus well below world-class.
- Unplanned downtime costs Indian manufacturers ₹2–5 lakh per hour on average
- Reactive repairs cost 3–5x more than planned interventions
- Calendar-based PM replaces healthy parts and still misses real failures
- Skilled maintenance teams burn out firefighting instead of optimising
The KLVIN Approach
KLVIN deploys wireless edge sensors (S.A.M, THRIVE, I.S.M) on critical assets. Vibration, temperature, current and process data stream to SENTINEL, where AI models compute Remaining Useful Life (RUL) and flag anomalies hours-to-weeks before failure — so maintenance becomes scheduled, not surprise.
Expected Outcomes
What You Get
RUL Prediction
AI models estimate days-to-failure for bearings, windings, seals and rotors with confidence intervals.
Anomaly Detection
Edge models flag drift, imbalance, cavitation and misalignment as it emerges.
Auto Work-Order Trigger
Severity-tagged alerts feed CMMS / ERP (SAP, Maximo) to create PMs automatically.
Asset Health Scoring
Single 0–100 health index per asset, rolled up to line, plant and enterprise dashboards.
Start your predictive maintenance journey
Book a free on-site or remote assessment and start a pilot on your most critical assets.
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