Synthetic Data for AI workstreams
Over a million High-Fidelity Synthetic Patient Records for AI Innovation
The Problem: Real patient data is locked behind HIPAA, GDPR, and complex de-identification processes that often destroy data utility.
Our Solution: 100% Synthetic, longitudinal clinical data that replicates real-world disease patterns without privacy risk.
Patient Data
Two patient data sets are provided here. They follow the "Seven Cs" of synthetic medical data: Congruence, Coverage, Constraint, Completeness, Compliance, Comprehension, and Consistency. There are over a millon such records associated with +20 Diseases.
Testimonials
The AI Startup Founder
Focus: Speed and lack of bureaucracy.
"As a MedTech startup, getting access to high-quality EHR data used to take us 6 to 9 months of legal reviews and IRB approvals. With this synthetic dataset, we were able to download 100,000 records and start training our diagnostic model the same afternoon. It’s a total game-changer for speed-to-market."
— Dr. A.V, Stealth Startup.
The Pharmaceutical Data Scientist
Focus: Fidelity and the "Longitudinal" nature of the data.
"What impressed our team was the clinical consistency. Usually, synthetic data is just random rows. Here, the lab results actually match the doctor’s notes—the high A1c levels correlate perfectly with the diabetic treatment plans. It’s the most realistic longitudinal data we've found for simulating patient journeys."
— SL, Senior Data Architect .
The Hospital Compliance Officer
Focus: Risk mitigation and HIPAA.
"Security is our #1 priority. Because this data is 100% synthetic and not 'de-identified' real data, our legal team cleared it for use across our international research teams in minutes. We have zero risk of re-identification attacks, which gives us incredible peace of mind during collaboration."
— JT, Chief Compliance Officer.