Gretel.ai automates privacy engineering, enabling companies to reduce the time to access sensitive data by up to 10x and backed by mathematical privacy guarantees. With Gretel, developers can get started in minutes with open source reference examples and simple APIs for generating unlimited amounts of synthetic data, labeling personally identifiable information, or anonymizing and removing biases from data. Gretel services are controlled by a simple web-based interface and can be fully managed in the cloud or deployed on-premises.
The Gretel team is currently heads down building the next iteration of Gretel's Privacy Engineering Service. If you haven't seen our update on Beta2, take a look and stay tuned as new features roll out!
As new features become available we will be updating our documentation so you can dive in on what's new!
Gretel's Open Source Synthetic Engine: https://synthetics.docs.gretel.ai
Gretel's Python Utilities (Python SDK + CLI): https://python.docs.gretel.ai
Gretel's REST API: https://api.docs.gretel.ai/