Synthetic Data Generation Platform

Generate High-Fidelity, Privacy-Preserving Data On-Demand

Our flagship platform empowers you to create realistic synthetic datasets that mirror your production environments without exposing sensitive information.

  • High Fidelity: Captures complex relationships and statistical distributions using advanced ML models (GANs, VAEs, etc.)..
  • Scalable Architecture: Deployable on-premise or in your preferred cloud environment (AWS, Azure, GCP). Handles large datasets efficiently.
  • Automated Quality Control: Built-in metrics (FID, distributional analysis, propensity scores, downstream task evaluation) and validation workflows ensure data quality and utility.
  • Intuitive Interface & API: Easy-to-use tools for data scientists and robust APIs for integration into automated MLOps pipelines.
  • Use Cases: Safe AI/ML model training (including addressing class imbalance or data gaps), realistic software testing, secure data sharing with third parties, analytics sandbox environments, generating data for explainability testing.