Gretel Data Designer

Data Designer is a general purpose system for building datasets to improve your AI models. Developers can describe the attributes of the dataset they want and iterate on the generated data through fast previews and detailed evaluations.

With Data Designer, you get:

• Speed: Generate preview datasets in minutes, production datasets in hours

• Quality: Built-in evaluation metrics ensure accuracy and relevance

• Simplicity: Automated workflows replace complex manual processes

• Scale: Move from proof-of-concept to production without rebuilding

• Data-centric AI: Unlock true data experimentation with rapid iteration on use-case-specific data.

If you're looking for hands-on examples, check out our Example Notebooks, where you'll find:

✅ A 101 tutorial – A notebook series to get you started ✅ Structured Outputs – Generate complex, nested synthetic data ✅ Evaluation Datasets – Create high-quality AI evaluation datasets ✅ Multi-turn Chat – Build user-assistant dialogue datasets ✅ Text-to-SQL & Text-to-Code – Generate SQL & Python code datasets ✅✅✅ And many more!

Data Designer is a synthetic data generation tool that helps you build repeatable and scalable synthetic data generation pipelines. You can use the Gretel SDK to declaratively define the dataset you want - the columns, the characteristics of each column, constraints across columns, validation or evaluation for columns, and then generate data that matches is.

Data Designer is meant to be used iteratively as you design the perfect dataset for your use case.