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.

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.