Generation
Objective-Reinforced Generation
Guide synthetic data generation with task-specific objectives so that output data maximizes downstream utility.
Purpose-Built Data
Utility-Driven Optimization
Optimize synthetic data for specific downstream tasks such as classification, regression, or anomaly detection.
Constraint Satisfaction
Enforce hard constraints — privacy budgets, fairness thresholds, and statistical bounds — throughout generation.
Adaptive Reinforcement
Iteratively refine generation based on feedback signals from evaluation metrics and domain objectives.
