Sync or import data sets from a diverse set of sources, like software systems, instruments, and CRO/CMOs.
TetraScience has built collaborations with vendors of scientific instruments and software systems to provide commercially-supported integration.
Enable cross-functional analytics, like machine learning and artificial intelligence by storing scientific data in a centralized and standardized repository.
Data is standardized and stored in a Data Lake to suit your specific data-integration needs. Now you can query any scientific data stored in TetraScience through a powerful and expressive Data Lake API. Use whatever part of the platform you want.