Improve business outcomes with no code AI

"In a conventional way, we would form a team to look at the problem, and it would take weeks to fix that problem… technically you couldn’t get this particular decision to be made, as fast as that."

- Head of Offshore Operations

Introducing Our Unique No-Code AI Platform

Uncover real-time operational insights using OPUS

OPUS: An artistic work, especially on a large scale

OPUS’ automated end-to-end AI pipeline enables engineers, asset operators and SMEs to build AI models without any programming knowledge or experience.  AI models can be built in minutes to target specific outcomes, providing real-time predictive insights, forecasts and alerts.

OPUS's unique holistic approach to analysing time-series data across the entire plant, rather than just individual pieces of equipment, means the no code AI platform can detect minute anomalies, with accurate predictions often days-to-weeks in advance. Customer teams can act on these insights, plan interventions, implement predictive maintenance and optimize operations.

Deliver business value within four weeks.

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Use Cases for No-Code Artificial Intelligence

OPUS in action

OPUS can be used to form a baseline for new assets and optimize settings from the very beginning. This can be used by the asset owner to build accountability, support warranty and performance claims, and to postpone first planned shutdowns.

Implement AI predictive maintenance with OPUS. The advanced analytics provides alerts for equipment and process degradation, allowing for planned early interventions, scheduling of correct personnel and spare parts. Reduce your maintenance spend with OPUS.

View Predictive Maintenance

Implement advanced analytics with OPUS to target specific outcomes, including asset lifespan extension, comparison of identical processes, reduction of energy usage, forecasting, optimisation of processes, reduction in flaring or emissions.

View Process Optimization

Forecast a future value, such as what a value will be at a set point in time, perhaps 24 hours, 7days, or 14 days in advance. Users can produce no-code AI models for an output, such as a future production level, or a future demand on their process or services. With future insights businesses can decide how they respond, scaling up or down or planning a necessary intervention to improve the outcome.

OPUS can assist companies create an energy baseline at an enterprise level, as well as provide insights which can be used to establish energy policies, inform targets setting, along with on-going essential insights to identify significant energy usage, opportunities for optimization and continual improvement at a granular actionable level.

View ESG

Businesses can improve sustainability and net-zero carbon endeavours with AI insights. OPUS continually analyses all available data, providing insights to help companies prevent environmental incidents such as flaring and contamination, along with emission reduction. Build dashboards to monitor and report on sustainability targets and achievements, and detect areas for continual improvement.

OPUS's unique holistic analysis of your operational data, allows for detailed root cause analysis. Detect the root cause of an alarm, predicted fault or historical incident down to the individual component or sensor level. This level of detailed analysis provides critical insight for early intervention and future failure avoidance.

View Case Studies
OPUS Product Features

Why our customers choose OPUS

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Rapid Unlimited AI Modelling

Models can be built in minutes and automatically deployed straight into your live environment. No limitation on the number of models or data volume.

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AI Model Wizard

Our simple step-by-step model wizard makes AI modelling easy, no programming or coding required.

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Detailed Predictions

Drill-down insights highlight the potential root cause and time to failure. Model confidence rating automatically calculated.

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Business Value within four weeks

Start delivering on-going business value within four weeks from data ingestion

An Industrial time-series AI solution

OPUS is uniquely designed to easily handle large volumes of time-series data, with a wide range of use cases across many different process industries.  Some of these include Oil and Gas, Mining and Resources, Water or Power Utilities

OPUS can be used as a standalone product, integrating with your existing process or data historian hosted on your public cloud or on-premise data centre, or OPUS can be used alongside DataHUB4.0 – VROC’s enterprise data historian.   See the diagram below for how the VROC products integrate together, so you can achieve more from your data.

Download the product sheet to learn more about OPUS’s flexible hosting and integration features.

Diagram showing how VROC's products integrate with one-another, and how data flows into and out of the ecosystem


Our client's success is our success

“It took our Focus group 2 weeks to come up with the problem with the gas compressor and form an action plan. When we met with VROC, the VROC model gave all the problems that we needed to focus on in less than 10minutes. This helped the engineers pinpoint the problem.”

Manager Head Strategy & Performance Health Safety & Environment, Gas and New Energy

“We have prolonged the gas compressor reliability to four months, from a maximum of 2 weeks running. The GCM uptime has improved to a value of 21.7m USD.”

Head of Offshore Operations

“Let everyone use, don’t restrict to any process engineer or operation engineer, give everybody access including business planners, let everyone use it. Because the beauty of this is that it will open the eyes of the importance of Artificial Intelligence in Oil and Gas.”

Manager Head Strategy & Performance Health Safety & Environment, Gas and New Energy

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Get started with VROC today

Ready to embark on a pilot project or roll-out the innovation enterprise wide? Perhaps you need assistance integrating your systems or accessing your data? We have a solution to help you as you progress through your digital transformation.