What We Do
Knowledge First Architectures
Architectures for scalable and continuously improving analytics
Asset Modelling and Knowledge Capture
Defining the relationships between data and asset performance
Asset Analytics
All forms of asset analytics, including predictive, prescriptive, optimisation techniques, implementation of standards and custom methods.
Use Cases
Failure Modes Effects and Criticality Analysis - FMECA
How to use modla's platform to generate a Failure Modes Effects and Criticality Analysis
Planned Maintenance Strategy Optimisation
How to use modla's platform to optimise your maintenance strategy
Condition Assessment and Predictive Technologies
How modla's platform incorporates condition assessment and predictive technologies
Knowledge Management
How modla's platform captures knowledge in a re-deployable form
Asset Performance and Digital Twin Technology
How modla's platform works with digital twin technologies
Spares Analysis
How modla's platform can predict spares usage and inform stock holding levels
Maintenance Budgets
How modla's platform can produce budgets for maintenance and capital intervention plans
Assess OEM Recommendations
How modla's platform can be used to assess OEM maintenance plans and their effectivity
Predictive analytics, Predictive Systems and Maintenance (PdM)
Predictive Analytics, Predictive Maintenance and Predictive Systems
Prescriptive analytics and prescriptive systems
Dive deep into prescriptive systems and analytics
Data Sensitivity Analysis
Better understand your data importance by combining your data with asset models
Investment and Portfolio Optimisation
Utilise mathematical solvers for investment and portfolio decision making
Models
Features
Schedule an Intro / Demo
Contact
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Blog - Articles, ideas and information
Things we find interesting
August 6, 2021
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Open letter to water utilities
Invitation for water utilities to collaborate on building an open knowledge base for the water industry.
January 6, 2021
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Improving the Common Network Asset Indices Methodology (CNAIM)
How to improve the Common Network Asset Indices Methodology (CNAIM) by changing the underlying framework.
October 1, 2019
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RCA tip of the week
Using control system trends for RCA timelines
November 30, 2019
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Conditions scores are not for decision making
Using only condition scores to make replacement decisions is a trap
December 1, 2019
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ML in reliability and asset modelling
Machine learning should not be treated as a black box, and the results should not be just "accepted".
July 29, 2019
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Work in the detail. Report simply.
Condition or health scores, MTBF/MTTR, and risk scores should not be used as inputs to further analysis
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