Syntegra provides validated replicas of medical data that match the statistical properties of the underlying source, yet cannot be linked to the original. Using their synthetic data engine, healthcare and life sciences companies can now seamlessly share privacy-guaranteed healthcare information, while bypassing the need for expensive and time consuming compliance and contractual structures, secure “sandboxes”, and complicated access protocols.

They apply state-of-the-art deep learning, trained on data at rest, to learn billions of embedded statistical patterns. Once trained, only model parameters are required to generate realistic but not real patient records. Privacy is guaranteed in a way that goes beyond HIPAA or GDPR compliance. The synthetic data maintains patient level statistical fidelity, and can be immediately utilized for statistical analysis, reporting and the building of predictive models with full accuracy and no re-identifcation risk. The company is led by a team of extraordinary serial entrepreneurs, data scientists and university faculty with deep knowledge in medicine and data science.

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