Gretel is a synthetic data platform—now part of NVIDIA—that enables users to generate artificial datasets that preserve the statistical properties of real data without including any actual sensitive information. The platform supports training generative models, validating output with privacy and quality metrics, and producing scalable synthetic data on demand. Gretel’s APIs and tools (like Data Designer and Safe Synthetics) are designed for developers and data scientists working on AI model training, testing, and privacy-preserving analytics across industries, including healthcare.

The MDClone ADAMS Platform is a self-service data analytics tool for healthcare organizations to explore data at scale. It enables users to engage with clinical and non-clinical data, create synthetic data for collaboration, and conduct data analysis without programming skills. The platform supports clinical research, operational improvements, and patient care through modules like Ask, Discover, Act, Measure, and Share.

MOSTLY AI provides a powerful open-source Synthetic Data SDK that enables the generation of high-fidelity, privacy-preserving synthetic data for AI/ML development, testing, and analytics. The SDK supports local or cloud-based model training for various data types—including tabular, time-series, and text—and allows conditional data generation, segment rebalancing, and fairness controls. Users can integrate with external data sources, export generators, and leverage quality reports for fidelity and privacy assurance.