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.

MakeData.ai is a synthetic data generation platform specializing in healthcare datasets that replicate real patient encounters while maintaining privacy and regulatory compliance. It enables healthcare product teams, QA, developers, and sales professionals to generate realistic, contextualized synthetic data for use in testing, demos, and development. Outputs are available in standard formats like HL7 FHIR R4, including eICR documents for conditions like Hepatitis B/C, Salmonella, and COVID-19.

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.