Validate the quality of
your synthetic data with comprehensive evaluation.
Synthetic data validation with comprehensive, customizable reports.
Understand your data with synthetic data evaluation.
Gretel Evaluate provides an out-of-the-box synthetic data evaluation report on every model you train, so you can easily understand how your data performs on key metrics and compare results side by side.

- Data Quality Score (SQS)
Measure how closely the generated synthetic data maintains the statistical properties of the original dataset.
- Data Privacy Scores
Analyze how protected your data is from common attacks and show the chosen tunable privacy levels.
- ML Quality Scores (MQS)
Assess the performance of synthetic data on classification and regression models.
- Gretel Benchmark
An easy-to-use low-code tool that benchmarks multiple datasets against multiple synthetic models.
Benefits for Developers.
Eliminate evaluation bottlenecks. Accelerate model development with faster data feedback loops.
Improve data comprehension. Get a deep understanding of the technical metrics that matter most in your data.
Increase operational efficiency. Easily compare synthetic models and datasets throughout the ML lifecycle.
