Transforming patient data into a driver of innovation
Syntegra empowers organizations to embrace the potential of their data as an asset, rather than viewing it as a barrier.
Privacy-preserved data use and sharing
With Syntegra, health systems and academic institutions can create a synthetic data layer across organizations to achieve safe and efficient data-driven care and value.
Accelerate research by easily and quickly sharing statistically accurate data without the need for a full IRB.
Remove the long delays in assessing and implementing external software and analytics by quickly sharing production-quality, synthetic data.
Generate new monetization opportunities with industry partners to accelerate collaborative research aimed at improving patient outcomes.
Improve benchmarking efforts without the risk of identifying specific patients or organizations.
Your format, your environment
Working with your current data and IT infrastructure, Syntegra installs its synthetic data engine within your current servers, whether these are a private cloud environment (e.g., AWS, Azure, GCP) or physical hardware. There, Syntegra generates synthetic data that maintains the original format of your data, seamlessly enabling use with your existing tools or processes and bypassing the need to redevelop tools you’re already using today.
Synthetic data across healthcare
Explore how others are using synthetic data to drive innovation for patient care and value.
Solutions for Payers
Improve internal and external research capabilities and enable the use of innovative payment models by quickly and easily accessing high-quality, synthetic data.Learn More
Solutions for Life Sciences
Create a new layer of data access and build fit-for-purpose synthetic data customized to answer key research questions with increased data usability.Learn More
Accelerating how treatments reach patients
Connect with our team to explore the possibilities of our platform for your health system.
Breaking barriers to healthcare data access
Learn more about our platform by building a sample synthetic dataset.