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Monetize your valuable EHR data
Best In Class
Leading the industry in fidelity and privacy—maintaining utility while eliminating re-identification risk.
Collaboration
Unlock collaborations previously impossible—synthetic data isn’t subject to HIPAA, GDPR, or other regulations.
Real Data Access Not Required
Users interact with synthetic data while analysis runs securely on real data in the backend.
Secure Environment
SOC2 compliant, built on HIPAA and FedRAMP certified infrastructure.
Deploy GenMD Synthesizer
Set up a self-hosted instance of GenMD or deploy instantly in our secure environment.
Generating Anonymized Synthetic Replicas
Go beyond traditional masking that isn’t HIPAA/GDPR compliant. We use differential privacy to ensure compliance—while generating synthetic data that preserves the utility of real data.
Optionally certify PHI de-identification through our expert determination partner.
Distribute Synthetic Data by Default, Unlock Real Data by Request
Safely share realistic synthetic data by default. Let users build and test models in a secure environment—with the option to access real data only when authorized.
FAQs
We provide all the necessary documentation and hands-on support to guide your team through the process. In most cases, one engineer is sufficient. Our deployment is designed to be seamless — we work directly with your engineers to run the Docker container with minimal effort on your end.
We can synthesize both structured and unstructured data across healthcare. This includes electronic EHRs, claims data, patient demographics, diagnoses, procedures, medications, lab results, and geographic information. On the unstructured side, we support synthesis of physician notes, clinical text, and medical images. Whether your data is tabular, textual, or visual, we can generate high-quality synthetic versions that preserve utility while protecting privacy.
De-identification still leaves you with real patient data — which means if there’s a data breach, you’re still responsible. With anonymized synthetic data, that risk goes away: the data looks and behaves like the real thing, but it’s not tied to actual individuals. That means highest privacy protection and less compliance burden. Plus, synthetic data lets you retain valuable details like patient demographics, location, and small-area geographies — which are often stripped out during de-identification but are crucial for research.
Unlock the value of your EHR data
