What is synthetic data?

Generates a synthetic copy with privacy & quality options.

Synthetic data is artificially generated data that mimics the patterns and statistical properties of real-world datasets. A key distinction is that it does not represent actual individuals, organizations, or real-world entities.

Why Use AI-Generated Synthetic Data?

To safeguard individual privacy and comply with data protection regulations like GDPR, HIPAA sharing or analyzing such data becomes a complex challenge.

AI-generated synthetic data offers a more effective solution by allowing you to:

• Safeguard privacy – Generate data that maintains patterns without exposing real individuals.

• Bypass anonymization pitfalls – Eliminate the need for manual and often unreliable data masking.

• Automate generation – Use AI models trained on your original data to create synthetic datasets with similar statistical properties.

• Preserve accuracy – Produce data that is realistic enough to be used as a substitute in analytics, testing, or modeling.

AI-enhanced synthetic data can be refined with features like:

• Rebalancing – Adjust distributions to reduce bias or improve model fairness and performance.

• Imputation – Automatically fill missing values with intelligent, data-consistent estimates.

• Sampling control – Use parameters like temperature and Top-P to increase diversity or generate rare edge cases.

• Fairness tuning – Ensure balanced representation across different groups or attributes for more ethical data use.