Syntegra | Secure Healthcare Data Sharing

Product

Syntegra meets the need to share sensitive healthcare information by employing cutting-edge machine learning. We create synthetic replicas of the underlying data, that precisely duplicate its statistical properties, while removing all possible links to the original. The synthetic replicas are immediately available to third parties, with no further regulatory requirements.

Scalable

Availability of healthcare information is essential for medical innovation.

Private

Barriers are vast and increasing due to concerns over privacy, restrictive regulations, and public perception.

Secure

De-identification is broken. It no longer prevents re-identification.

Complete

Typical solutions involve expensive, restricted access to limited data sets, or "fuzzing up" the data, which decreases its utility.

Compatible

Needs to easily integrate with user's existing infrastructure.

Modern

Deep learning allows us to create shareable synthetic equivalents from any source, while preserving strict privacy.

Company

Syntegra provides validated replicas of medical data that match the statistical properties of the underlying source, yet cannot be linked to the original. Using our 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.

We 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.