Vaarst Vaantage Overview Hero

Vaantage Data Platform

Welcome to your safe, secure, collaborative and scalable data platform.

One safe, secure and scalable space for all your data

We understand the challenges of gathering data in harsh environments, where data collection, interpretation and decision-making is tightly coupled to project costs and successful project outcomes. Our platform sits at the heart of your operations, centralising multiple datasets, including 3D digital twins. Access straightforward visualisations, reports, videos, and more, allowing all stakeholders to work with a single source of truth.

Intelligent Data Storage
Intelligent data storage

The easy-to-navigate platform provides an intuitive and contextual view of your data.

Data Collaboration
Accelerate collaboration

Work from a single source of truth to accelerate collaboration and decision-making using your data.

Straightforward 3d Data
Straightforward 3D data

Populate 3D worlds, receive point cloud data in real time, with no need for post-processing.

Safe and secure data storage

Using security and data durability best practice, the Rovco data platform sits at the heart of our operations, giving clients peace of mind their data is secure, safe and accessible. Users of our data platform benefit from:

  • Secure, permissions-gated access with no vendor lock-in.
  • Standardised data models and consistent data storage to enable reliable archiving and meaningful comparisons over time.

Vaarst Vaantage Data Platform Globe

Streaming data and remote operations

Advances in low-orbit satellite communications are changing the way we work.  Faster, remote access to data collected offshore, allows you to have more certainty in project outcomes and enables Rovco to access and work with the information you need 24 hours a day, whilst reducing the need to return to port. Rich point cloud data and real time analysis, with no need for post-processing is now a reality for remote subject matters based onshore.

Data Platform 3d Data

Apply machine learning insights

Rovco uses advance machine learning models and artificial intelligence to label, learn and interpret massive amounts of survey and inspection data.

Our machine learning algorithms do the hard work, allowing subject matter experts more time to make critical decisions and work on other tasks. Data automation and ML interprets huge datasets unmanageable for humans alone.

  • Similarity search capability across all your datasets.
  • Automatically detect anomalies and changes over time.

Vaarst Machine Learing

Benefit from an insights Vaantage

Vaantage is our central hub for accessing data insights collected for your projects. In addition to final report-based deliverables, clients may access complimentary visualisations, reports, videos, and more, allowing all stakeholders to quickly access the data they need to make better decisions, with no specialist training needed.

  • Flexible format outputs and delivery options allow insight distribution to a wider audience and/or integration into common GIS platforms like ArchGIS.

Vaarst Vaantage Data Platform Capabilities

View our latest news and highlights

Press
Rovco expands fleet with additional site survey vessel

Rovco, the leading provider of high-technology offshore wind solutions is now adding a second hull mounted survey vessel to their fleet with the long-term charter of the DP2 vessel Glomar…

Glomar Worker
Rovco Innes Hamilton
Blog
Staff Profile: Innes Hamilton, Onshore Geophysicist 

In the latest edition of our Meet the Team series, we introduce Edinburgh-based Innes Hamilton, who joined Rovco earlier this…

Rovco successfully completes fast-track survey work with Flotation Energy and Vårgrønn for the Cenos floating offshore windfarm

We are pleased to announce that we have successfully completed all survey work on behalf of Flotation Energy and Vårgrønn…

Catherine-Campbell-Senior-Contracts-Specialist
Meet the Team: Catherine, Senior Contracts Specialist

In the latest instalment of our Meet the Team series, we shine the spotlight on Aberdeen-based Catherine Campbell, who joined…

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