Data

Learn the simplest way to generate synthetic data without setting up your own infrastructure and GPUs.

Generate large volumes of tabular synthetic data at high speed.

Augment or balance your ML datasets in minutes with state-of-the-art generative models.

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.

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.