Preventive Maintenance
A white-glove service model combining AI-driven analysis of sensor data (vibration, temperature, lubrication) with a dedicated Condition Monitoring Engineer (CME). This AI/CME combination delivers prescriptive, actionable maintenance recommendations.
How It Works
Our white-glove service combines continuous sensor monitoring with expert human analysis.
Sensor Data Collection
Continuous monitoring of vibration, temperature, and lubrication data from your equipment.
Intelligent Analysis
Our system filters noise and identifies patterns that signal potential issues before they escalate.
CME Expert Review
A dedicated Condition Monitoring Engineer reviews the insights and validates findings for your specific equipment.
Actionable Recommendations
Receive clear, prescriptive guidance on exactly what to fix and when, eliminating guesswork.
Traditional vs. Arkim Approach
Traditional condition monitoring systems often overwhelm teams with raw data and alerts, leading to alert fatigue. Our AI/CME model filters the noise, delivering clear instructions on what to fix and when.
Traditional Approach
Alert Fatigue
High volume of raw data and alerts overwhelms maintenance teams.
Reactive State
Teams constantly responding to alerts rather than planning ahead.
Data Overload
Raw sensor data without context or actionable interpretation.
No Expert Guidance
Teams left to interpret complex data without dedicated support.
Arkim AI + CME Approach
Noise Filtered
AI and CME filter through alerts to surface only what matters.
Proactive & Guided
Shift from reactive firefighting to proactive, planned maintenance.
Clear Instructions
Prescriptive recommendations on exactly what to fix and when.
Dedicated CME Expert
A Condition Monitoring Engineer reviews AI insights and delivers actionable guidance.