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All modulesModule 01 / 08
Solution lane

Maintenance

From CMMS integration through to ML-driven asset health scoring — built to eliminate unplanned downtime and maximise asset reliability.

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Solution lane depth

Integrated Asset Intelligence

Six capabilities form a continuous data and decision-making chain.

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01 — CMMS Integration

CMMS

Connect Your Existing Systems

  • Integration with any existing CMMS
  • Complete visibility into maintenance tasks, work orders, and asset histories
  • Transactional maintenance data unified with operational analytics
  • Enhanced reliability and uptime through integrated insights
  • Work orders
  • Asset histories
  • System integration
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02 — Sensor Data

Sensor Data

Real-Time Operational Visibility

  • Historian implementation
  • Ingestion of sensor data from all assets
  • Real-time visibility of operations
  • Continuous data flow for further analytics
  • Historian
  • IoT ingestion
  • Real-time data
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03 — Downtime Analysis

Downtime

Pinpoint and Eliminate Loss

  • Time-usage model for downtime analysis
  • Tracking downtime events to pinpoint issues
  • Root cause insights to reduce future losses
  • Time-usage model
  • Downtime tracking
  • Root cause analysis
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04 — Condition Monitoring

Condition Monitoring

Continuous Asset Condition Awareness

  • Digital platform unifying condition data with process parameters
  • Continuous monitoring of asset conditions in real time
  • Early detection of degradation or anomalies
  • Support for predictive maintenance decisions
  • Condition data
  • Anomaly detection
  • Predictive maintenance
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05 — Failure Prediction

Failure Prediction

Anticipate Failures Before They Happen

  • Weibull distribution for failure prediction modelling
  • Predictive algorithms to anticipate failures
  • Early warnings to prevent unexpected downtime
  • Prioritisation of maintenance based on failure risk
  • Weibull modelling
  • Predictive algorithms
  • Early warnings
06 / 06

06 — Asset Health

Asset Health

ML-Driven Health Scoring

  • Machine learning-based asset health scoring
  • Real-time visualisation of plant condition
  • Stoplight methodology: Green, Amber, Red status
  • Immediate focus on critical assets for action
  • ML scoring
  • Stoplight status
  • Plant visualisation