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Use the data you couldn't use before . .. ...

Patient records, smart meter readings, customer transactions: privacy rules keep much of this data locked away. BlueGen turns it into synthetic data you can share for research and analytics, test software with, and train AI models on.

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Data sharing, research & analytics

Sound familiar?
  • You get data requests from researchers, partners or government bodies that you can't fulfil.
  • It takes weeks or months to make data available for a new project.
  • Data can't move between business units, group entities or countries.
What you can do

Start research sooner and more safely, without handing over the real data.

Enabled by the evaluation report, which shows the synthetic data gives the same answers.

What you get

Research data that's safe and untraceable

In production at LROI.

Animated chart: the survival curve of the real data draws first, then the synthetic curve follows almost the same path.

Test data for software development

Sound familiar?
  • Developers, testers or contractors need production-like data, and get something else.
  • There isn't enough data for load and performance testing.
  • You need tailored data to test specific features under specific conditions.
What you can do

Load production-like data, outliers included, straight into your test environment.

Enabled by relational support and rule-based PII.

What you get

Catch what breaks before production

Used for testing at CBS.

Animated diagram: linked tables appear along their keys, PII fields fill in by rule and an outlier from the real data stays in.

AI training data

Sound familiar?
  • Your models on structured data struggle with too little data, or data with gaps.
  • Rare events, fraud or small customer segments limit your model's accuracy.
  • Your models need to handle conditions your historical data doesn't contain.
What you can do

Fix class imbalance and rare cases while keeping the relations your model learns.

Enabled by rebalancing, where dependent columns adjust with the new balance.

What you get

Over 10% higher prediction accuracy

Measured at Schneider Electric, after adding BlueGen synthetic data to the training set.

Animated dot grid: the class of interest grows from 20% to 50% of the training set, and dependent columns adjust with it.

More ways to use our synthetic data

For the experiments that today never get off the ground, from sandboxes and hackathons to academic collaborations.

  • Vendor evaluation

    Give vendors synthetic data so they can show their product works on data like yours.

  • Cloud adoption

    Move synthetic versions of sensitive datasets to the cloud and use services that were off-limits before.

  • Data retention

    Keep a synthetic snapshot of data you are only allowed to store for a limited time.

  • Product demos

    Show every feature on realistic data without putting real customer records on screen.

  • Product experiments

    Test trial products against scenarios your real data doesn't contain yet.

  • Data monetisation

    Explore offering synthetic versions of your data to other organisations.

Not sure which use case fits your data?

  • Tell us what data you have and what you need from it
  • Hear which use case fits, and why
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