Features
Generation
Produce high-fidelity synthetic tabular data through knowledge encoding, relation modeling, data assimilation, and objective-reinforced learning.
Generation Capabilities
Each capability addresses a distinct aspect of producing realistic, useful synthetic data.
Knowledge Encoding
Transform domain expertise into structured representations that guide synthetic data generation with precision and fidelity.
Relation Modeling
Capture and reproduce the complex inter-variable dependencies that define the structure and coherence of real datasets.
Data Assimilation
Incorporate real-world observations into the generation pipeline to ensure synthetic outputs stay grounded in empirical evidence.
Objective Reinforced
Guide generation toward user-defined objectives, optimizing synthetic data for downstream tasks and performance metrics.