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Train machine learning models on your datasets and generate synthetic data that is statistically equivalent.
Automatically label data and perform privacy-preserving transformations on a dataset.
Label and Classify
Automatically label and classify your data.
Get started creating safe data with Gretel by reading our documentation.
Install the gretel-client CLI tool.
REST API reference
An open source data transformation library and bindings to Gretel APIs.
Get help on Slack
Join our slack community and ask questions to Gretel team members.
View our open source projects and SDKs on GitHub.
Architecture and Components
Configure your model
Create Synthetic Data
Balance a Dataset
Redact Sensitive Data
From the blog
Creating Synthetic Time Series Data for Global Financial Institutions – a POC Deep Dive
Read the post
Advanced Data Privacy: Gretel Privacy Filters and ML Accuracy
Read the post
Helpful resources to start making your job easier.
Data Accessibility & Privacy Engineering with Danielle Beringer of Gretel.ai
October 14, 2021
Al and Alex Watson discuss Gretel, security, and privacy issues around synthetic data
August 11, 2021
Diving Deep into Synthetic Data with Alex Watson of Gretel.ai
April 20, 2021
Cooking up synthetic data with Gretel
February 2, 2021
Protecting Data Privacy Within Databases
December 4, 2020