Gretel’s Transform model combines data classification with data transformation to easily detect and anonymize or mutate sensitive data. Gretel’s data classification can detect a variety of Supported Entities such as PII, which can be used for defining transforms. Gretel Transform can be combined with Gretel Synthetics using workflows to transform data before training the synthetic model or after generating output synthetic data.
The Classify model allows you to define a policy to discover and label sensitive data including personally identifiable information, credentials, and even custom regular expressions inside text, logs, and other structured data.
Tabular LLM is Gretel's first foundational model designed to generate, edit, and augment tabular data using natural language or SQL prompts. It's a tool for working with and enhancing datasets in a more intuitive and interactive way.