OPUS - Condition Monitoring, Predictive Maintenance & Process Optimization No-code AI Platform
No-code AI predictive insights for complex processes. Improve asset reliability and uptime
Page last modified
March 12 2025
OPUS allows you to predict what, when and why your equipment will fail, long before it does, providing accurate root cause analysis insights so you can plan and implement interventions to avoid downtime and production loss. Use no-code AI to uncover the most efficient operating settings to reduce material and power costs. Discover opportunities to optimize processes, implement predictive maintenance and reduce emissions.
Spend less time analysing data and more time acting on it. OPUS is built to seamlessly integrate with your existing infrastructure and be used by your existing Engineering, Operations and SME team to quickly build, train and maintain AI models of your assets without programming or coding experience.
Pros & Limitations
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Improve asset reliability, integrity and lifecycle
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Build no-code AI modells without programming or coding experience
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Uncover rapid real-time insights for improved decision making
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Reduce unplanned shutdowns and downtime
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Remote live condition monitoring of your assets health, anywhere, anytime
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Increased production, safety and environmental performance
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Enterprise wide solution
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Retain data ownership, privacy and security
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Rapid root cause analysis
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If the quality of data received from the asset is poor then the AI accuracy will be reduced
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Predict asset failures in advance for predictive maintenance
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Reduce OPEX costs with predictive maintenance insights
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Holistic analysis of all available plant data reveals un-foreseen correlations and causations to incidents
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Rapid deployment - deploy in just weeks and start generating business value
Specification
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Areas of Application
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Oil and Gas, Mining, Power Generation and Utilities, Water, Maritime, Facilities, Smart Cities.
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Predictive Analytics
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no-code AI can predict future incidents and failures weeks in advance by continuously analysing historical and live data.
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Machine Learning
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Auto Machine Learning technology continuously learns how your plant operates under different conditions.
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Asset Life Extension
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Critical insights to assist with extending the useful life of assets.
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Accuracy
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99.9% AI model accuracy (based on sufficient quality data) for accurate predictions on future faults and failures.
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Platform
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Easy to use drag and drop web based platform. Customise your own dashboards, build your own AI models without programming experience
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Optimization
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Reduce operating costs, improve efficiencies and increase production with optimization insights.
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Cloud Platform
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VROC cloud based platform allows any-where access to monitor your plants assets and operations.
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Cost
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Software as a service annual subscription allows unlimited users and unlimited prediction models to be generated by the existing client team.
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Security
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Customer retention of data ownership, security and privacy.
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Predictive Maintenance
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Predict future asset degradation and deviation and plan interventions to avoid asset failure and downtime
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Reviews
Technology Readiness Level
The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.
[9/9]
Development
Technology demonstration
Mature / Proven
Relative Business Impact
Solution Deployed By
Company Name
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