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Cerexio Predictive Maintenance - AI-powered Predictive Maintenance

Predictive Asset Intelligence: Ensuring Healthy Asset Utilisation and Care.

Extend your Cerexio One environment with a powerful Predictive Maintenance capability designed to help asset managers, operators and planners understand asset health, anticipate failures and make more informed maintenance decisions.
Connect asset, machine, maintenance, financial and operational data through one intelligent predictive layer. Apply AI, machine learning, predictive analytics, Digital Twin, IIoT, Edge Analytics, simulation, AR/VR and GIS technologies to understand asset degradation, predict future risks and optimise maintenance strategies.
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Maintenance Challenges Are Never An Isolated Cause - Are You Familiar With Them?

Bottlenecks Solved by Cerexio Predictive Maintenance

  • Unplanned Asset Failures
Apply AI and machine learning models to identify patterns, anomalies and degradation signals that can indicate potential asset failures.
  • Reactive Maintenance Operations
Use predictive insights to anticipate asset risks and support proactive maintenance planning before failures affect operations.
  • Scattered Asset Data
Integrate data from APM, EAM, ERP, CMMS, financial systems, SCADA, IIoT platforms, sensors and databases into one predictive environment.
  • Heightened Maintenance Costs
Analyse asset condition, criticality, degradation and maintenance requirements to help prioritise resources towards higher-value interventions.
  • Limited Asset Visibility
Combine real-time asset profiles, criticality models, degradation metrics, dashboards and visualisation tools for comprehensive asset intelligence.
  • Complex Asset Systems
Apply predictive analytics across individual assets, equipment, facilities and wider asset networks to identify risks and optimise asset utilisation.
Asset Signals Elevated to Predictive Maintenance Intelligence.

Cerexio Predictive Maintenance - Explore Platform Add-On

Cerexio Predictive Maintenance is a platform add-on to the Cerexio One framework, designed to help asset-intensive organisations move from reactive maintenance towards predictive, proactive and intelligence-led asset management. It combines AI and ML models, historical operational data, real-time asset information, predictive analytics and Industry 4.0 technologies to understand asset behaviour, degradation, risk, cost and performance.
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Connect Every Asset Signal

Bring together data from APM, EAM, ERP, CMMS, SCADA, IIoT platforms, sensors, databases, financial systems and other operational sources.
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See Every Asset Risk

Analyse asset health, criticality, degradation, performance and operational conditions through intelligent dashboards, Digital Twin visualisations, GIS layers and predictive profiles.
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Act Before Failure

Use predictive and prescriptive intelligence to anticipate potential breakdowns, prioritise maintenance activities, evaluate risks and support more effective asset recovery strategies.
Actionable Intelligence for Predictive Asset Decisions.

Cerexio Total Investment Modelling System AI Intelligence

A Data-driven Success for Modern Asset Managers.
Detect

Identify anomalies, degradation signals, unusual asset behaviour and emerging conditions using real-time asset data and trained machine learning models.

1
Detect

Identify anomalies, degradation signals, unusual asset behaviour and emerging conditions using real-time asset data and trained machine learning models.

2
Diagnose

Analyse relationships between asset condition, operational history, criticality, performance and environmental factors to identify potential causes behind asset degradation and failure risks.

3
Predict

Use AI, machine learning and predictive analytics to forecast potential failures, future asset conditions, maintenance requirements, costs and performance risks.

4
Prescribe

Generate intelligence to support maintenance prioritisation, risk mitigation, recovery planning, resource allocation and proactive asset management decisions.

Core Predictive Maintenance Capabilities

  • AI-Powered Dashboards
  • AI-Powered Predictive Maintenance
  • Anomaly & Event Detection
  • APM, EAM & CMMS Integration
  • AR & VR Asset Experiences
  • Asset Behaviour Analysis
  • Asset Criticality Analysis
  • Asset Degradation Modelling
  • Asset Failure Prediction
  • Asset Network Intelligence
  • Asset Performance Analysis
  • Asset Recovery Planning
  • Asset Risk Assessment
  • Automated Asset Reports
  • Big Data Analytics
  • Condition-Based Maintenance
  • Database & Enterprise Data Integration
  • Degradation Metrics
  • Digital Twin Visualisation
  • Edge Analytics
  • ERP & Financial Management Integration
  • Failure Cause & Interdependency Analysis
  • GIS Asset Visualisation
  • Historical Asset Data Analysis
  • IIoT & Sensor Connectivity
  • Machine Learning & Advanced Analytics
  • Maintenance Cost Analysis
  • Maintenance Prioritisation
  • Mission-Critical Predictive Insights
  • Mobile-First Interfaces
  • Predictive & Prescriptive Analytics
  • Predictive Maintenance Planning
  • Real-Time Asset Health Monitoring
  • Real-Time Asset Notifications
  • Real-Time Asset Profiles
  • Risk Mitigation Planning
  • SCADA Integration
  • Simulation & Event-Driven Analysis
  • User-Defined Reporting
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Designed for Asset Investment. Built for Financial Foresight.

Cerexio Total Investment Modelling System- What to Expect

  • What to Expect & Value
  • Built Around Your Asset Systems
Configure predictive models around your asset types, operational conditions, criticality, degradation patterns and maintenance requirements.
  • Connected From the Core
Integrate APM, EAM, ERP, CMMS, SCADA, IIoT, sensors, databases and financial systems into one predictive maintenance environment.
  • Real-time by Design
Combine continuously available asset and operational information with predictive models to maintain current visibility into asset health.
  • Unlocks Invasive AI Prediction
Apply trained AI and machine learning models to identify asset risks, degradation patterns and potential failure conditions.
  • Scenario-ready Planning
Compare multiple budget and investment scenarios to understand potential outcomes before selecting and executing an investment strategy.
  • Fact-Based by Design
Use statistical information, asset lifecycle profiles, matrices, degradation data and financial models to support more consistent investment estimates.
  • GIS-Enabled Financial Intelligence
Analyse asset investments geographically across regions, cities, plants, production lines and large-scale asset networks.
  • Long-Term by Nature
Analyse financial requirements and investment conditions across extended planning horizons, including ten-year financial insights.
  • Scales Across Asset Classes
Analyse individual asset classes or multiple asset classes simultaneously within one investment modelling environment.
  • One Connected Environment
Extend Cerexio One with investment intelligence without creating another isolated financial planning system.
Plan The Best Asset Investment Strategies as Defined by Financial Realities of Your Organisation.

Cerexio Predictive Maintenance Benefits

  • Potential Investment Failures Detected Beforehand

    Use AI, machine learning and predictive analytics to identify emerging failure patterns and degradation signals before they develop into major operational issues.

  • Independent of Reactive Maintenance

    Move maintenance planning from responding to failures towards anticipating asset conditions, risks and maintenance requirements.

  • Improved Asset Reliability

    Gain a deeper understanding of asset condition, criticality, performance and risk to support more reliable operation across individual assets and wider asset networks.

  • Understand Costs Better

    Understand maintenance requirements across asset classes and prioritise resources towards critical assets and higher-value recovery opportunities.

  • Better Asset Utilisation

    Analyse degradation trends, criticality and operating conditions to support better decisions about how assets should be deployed, maintained and utilised.

  • Better Risk Management

    Identify potential threats, abnormal conditions and suboptimal asset performance through predictive insights and risk indicators.

  • Detect Hidden Failure Mechanisms

    Explore interdependencies, correlations and hidden causes behind changes in asset condition, structural indicators and performance to support faster root-cause understanding.

  • Integrate Asset Intelligence

    Combine asset data from APM, EAM, ERP, CMMS, financial systems, SCADA, IIoT, sensors and other sources to create a comprehensive predictive view.

  • Long-term Asset Planning

    Use predictive models and historical operational information to build a forward-looking understanding of asset risk, cost and performance and support longer-term maintenance and investment decisions.

  • Collaborative Asset Operations

    Give targeted asset stakeholders access to predictive insights, asset updates and operational information through connected dashboards, interfaces and reporting tools.

Curious to Learn More?

Book a demo with our team to explore Cerexio Predictive Maintenance, its AI and ML-powered asset intelligence, predictive and prescriptive analytics, failure prediction, degradation modelling, Digital Twin capabilities, IIoT connectivity, enterprise integrations and seamless operation within the Cerexio One framework.
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