Data

A walkthrough of our new multi-table transform and multi-table synthetics notebooks, which can be used independently or simultaneously.

Introducing Gretel Relational, enabling organizations to generate high-quality synthetic databases while preserving cross-table relationships.

Anonymize data at access time with Gretel and Amazon S3 Object Lambda.

Smart-seeding lets you train a synthetic data model to auto-complete partial records and text.

How synthetic data can help nonprofits improve their business operations and their impact on the people they serve.

A brief exploration of model soup, the new ensembling technique that takes the average weights of multiple models to improve overall performance.

Learn more about how Gretel's REST APIs automatically build a metastore that makes it easy to understand what is inside of your data.

Create differentially private, synthetic versions of datasets and meet compliance requirements to keep sensitive data within your approved environment.

We founded Gretel based on our beliefs that data shouldn’t be scary.

Learn about new features in Gretel, and how those features enabled us to discover personally identifiable information (PII) in a popular Kaggle dataset.