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.
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.
AI models estimate days-to-failure for bearings, windings, seals and rotors with confidence intervals.
Edge models flag drift, imbalance, cavitation and misalignment as it emerges.
Severity-tagged alerts feed CMMS / ERP (SAP, Maximo) to create PMs automatically.
Single 0–100 health index per asset, rolled up to line, plant and enterprise dashboards.
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.
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.
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.
Book a free on-site or remote assessment and start a pilot on your most critical assets.
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