Features
Evaluation
Assess synthetic data quality with statistical similarity and objective relevance metrics.
Evaluation Capabilities
Rigorous methods to measure how faithfully synthetic data reflects the real world.
Statistical Similarity
Quantify how closely synthetic data reproduces the statistical properties of the original dataset — including distributional similarity and inter-variable correlations.
Objective Relevance
Evaluate whether synthetic data preserves the utility needed for specific downstream tasks, using domain-specific performance metrics such as classification, detection, and prediction.