OPUS - Condition Monitoring, Predictive Maintenance & Process Optimization No-code AI Platform

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Deployed by 2 companies

No-code AI predictive insights for complex processes. Improve asset reliability and uptime

Page last modified

April 11 2024

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

Improve asset reliability, integrity and lifecycle

Build no-code AI modells without programming or coding experience

Uncover rapid real-time insights for improved decision making

Reduce unplanned shutdowns and downtime

Remote live condition monitoring of your assets health, anywhere, anytime

Increased production, safety and environmental performance

Enterprise wide solution

Retain data ownership, privacy and security

Rapid root cause analysis

If the quality of data received from the asset is poor then the AI accuracy will be reduced

Predict asset failures in advance for predictive maintenance

Reduce OPEX costs with predictive maintenance insights

Holistic analysis of all available plant data reveals un-foreseen correlations and causations to incidents

Rapid deployment - deploy in just weeks and start generating business value

Specification

Specification Title	Specification Description
Areas of Application	Oil and Gas, Mining, Power Generation and Utilities, Water, Maritime, Facilities, Smart Cities.
Predictive Analytics	no-code AI can predict future incidents and failures weeks in advance by continuously analysing historical and live data.
Machine Learning	Auto Machine Learning technology continuously learns how your plant operates under different conditions.
Asset Life Extension	Critical insights to assist with extending the useful life of assets.
Accuracy	99.9% AI model accuracy (based on sufficient quality data) for accurate predictions on future faults and failures.
Platform	Easy to use drag and drop web based platform. Customise your own dashboards, build your own AI models without programming experience
Optimization	Reduce operating costs, improve efficiencies and increase production with optimization insights.
Cloud Platform	VROC cloud based platform allows any-where access to monitor your plants assets and operations.
Cost	Software as a service annual subscription allows unlimited users and unlimited prediction models to be generated by the existing client team.
Security	Customer retention of data ownership, security and privacy.
Predictive Maintenance	Predict future asset degradation and deviation and plan interventions to avoid asset failure and downtime