Solution

    Predictive Maintenance

    Fix machines before they fail, not after.

    The Problem

    Most 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 manufacturers from roughly $10,000 to over $250,000 per hour depending on the sector
    • 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

    30–50%
    Reduction in unplanned downtime
    20–40%
    Lower maintenance cost
    10–25%
    OEE improvement
    < 6 months
    Typical payback period

    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.

    Frequently Asked Questions

    How is predictive maintenance different from preventive maintenance?

    Preventive maintenance is time-based — you service at fixed intervals whether the machine needs it or not. Predictive maintenance is condition-based — sensors and AI tell you the actual health of the asset, so you intervene only when the data says you must.

    How long does it take to deploy KLVIN's predictive maintenance solution?

    A typical pilot on 10–20 critical assets goes live in 2–4 weeks. Sensors mount magnetically without machine shutdown, and the SENTINEL platform is cloud-hosted with no on-prem install required.

    What ROI can we expect?

    Most KLVIN customers see payback in under 6 months — driven by 30–50% reduction in unplanned downtime, 20–40% lower maintenance cost and 10–25% OEE improvement.

    Start your predictive maintenance journey

    Book a free on-site or remote assessment and start a pilot on your most critical assets.

    Book a Free Assessment

    Backed by Industry & Academia

    Ministry of Electronics & IT (MeitY)MSME — Ministry of Micro, Small & Medium EnterprisesConfederation of Indian Industry (CII)iCreateiTIC — IIT Hyderabad Incubation CenterNSRCEL — IIM BangaloreDLabs — Indian School of BusinessMinistry of Electronics & IT (MeitY)MSME — Ministry of Micro, Small & Medium EnterprisesConfederation of Indian Industry (CII)iCreateiTIC — IIT Hyderabad Incubation CenterNSRCEL — IIM BangaloreDLabs — Indian School of Business