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When analytics
is a work of Art

OPUS: An artistic work, especially on a large scale

Real-Time Advanced Analytics

Say goodbye to data wrangling

At VROC we understand that Data Scientists require the ability to build their own highly complex algorithms and create free-form calculations. Most Data Scientists build these works of art using small historical data-sets, which they have painstakingly prepared and manipulated.

The challenge to solve is often a high-value and complex business problem, and as such great time and effort is spent in framing and trying to solve this problem.

VROC allows our customers to use our in-built data science tools to produce their own models and algorithms within the OPUS Platform. The benefit is that OPUS is directly connected to the customers live data environment, DataHub4.0, so there is no data preparation required, and models can be deployed automatically.

Download OPUS Product Sheet
Product Features

Why our customers choose VROC

Data Ownership

Retain complete ownership and control of your data with flexible hosting solutions available.

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Data Integrity

VROC automatically verifies your data quality, alerting you if there is a problem.

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Data Science Tools

Use JupyterHub and similar along with open source frameworks such as H2O, Scikit-Learn, Tensorflow, etc.

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MLOps

Our end-to-end Ai pipeline makes model operationalization easy

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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.