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  • Synthetic data

    What is synthetic data?

    A crash course synthetic data

    Why synthetic data?

    Why your organization should consider using AI-generated synthetic data

    Synthetic data accuracy

    Explore our data quality assurance report with the results assessed by the SAS data experts.

    Industries

    Explore the value of synthetic data in various sectors.

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  • PII

    What is Personally Identifiable Information?

    Learn more about personally identifiable information.

    PII scanner in open text

    How does the PII scanner work for datasets, databases and open text.

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    PII scanner document
  • Platform

    Syntho Engine

    Explore our synthetic data generation platform.

    Extended features

    Check various value adding features which supports our Syntho Engine.

    Integration

    What is required to integrate our Syntho Engine correctly?

    Supported data

    What types of data are supported by Syntho?

    Pricing

    Discover our pricing plans and choose the best one for you.

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    product manual
  • Use cases

    Synthetic data as test data

    Deliver and release state-of-the-art software solutions faster and with higher quality with AI generated synthetic test data.

    Synthetic data for analytics

    Build your strong data foundation with easy and fast access to as-good-as-real AI generated synthetic data.

    Synthetic data for product demo's

    Astonish your prospects with next-level product demos, tailored with representative AI generated synthetic demo data

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  • Careers

    Careers

    Explore career opportunities at Syntho and grow your career with us.

    About us

    Get more information about Syntho, its values and the team.

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Tag: anonymization

This image demonstrates the use of synthetic test data

Why the future of test data for software development is synthetic data

Why the future of test data for software development is synthetic data   The power of a well-functioning test infrastructure Assume that your organization has…

anonymization and pseudonymization

Why classic anonymization (and pseudonymization) does not result in anonymous data

Why do classic anonymization techniques (Pseudonymization) offer a suboptimal combination between data-utlity and privacy protection?

why removing names is not an option

Guess Who? 5 examples why removing names is not an option

We challenged one commonly considered and, unfortunately, still frequently applied approach of data anonymization: removing names.

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