loader

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.

Get Started Today
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

automation icon

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.

AI icon

AI Model Wizard

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

predictive analytics icon

Detailed Predictions

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

Save with AI icon

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.

VROC OPUS

CUSTOMER BENEFITS

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
USEFUL RESOURCES

You might be interested in

Protecting Customer Data

VROC achieves SOC 2 and ISO/IEC 27001 certifications, reinforcing commitment to data privacy and security

Read Full Article

6 ways AI can help Mining reduce carbon emissions

With AI analytics, the mining industry can monitor and generate insights on their carbon emissions to help them plan today f

Read Full Article

Build vs. Buy AI Solution?

Comparison of 'build it inhouse' vs 'outsource' approaches to artificial intelligence

Read Full Article

Democratization of data for scalable AI results

The next frontier for scalable AI is the democratization of data through the use of analytics process automation (APA)

Read Full Article

The Challenges of Implementing Industrial AI

Understand What are The Challenges of Industrial AI Implementation

Download Now

Transitioning from Traditional Data Science to Automated Data Science

Discover why we need to change our thinking and approach to Data Science

Download Now

2000x faster to identify problems

VROC identified the root cause of reliability issues x2000 faster than traditional reliability analysis on offshore platform

Read Case Study

100% Prediction of Generator Failure

VROC AI accurately predicted generator failure, which could have saved 2000 barrels of oil

Read Case Study

Energy Supply Forecasting with AI

VROC forecasts supply to improve management of the network

Read Case Study

AI for Energy Management Systems

Discover how AI can support Energy Management Systems with automated analysis for continual energy performance improvement

Read Full Article

Demystifying Industrial AI

What is Industrial AI, and how can industry benefit from it?

Read Full Article

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.