Ready to streamline your approach to scientific data collaboration?
Ingest data from external partners, transform data to a harmonized data model, search, filter, tag, and easily visualize data across sources to streamline your distributed scientific data strategy.
The platform designed for collaborative innovation
Top pharmaceutical companies are moving to a distributed scientific data model to drive innovation, with help from Tetra Data Platform.
Automatically move data from your external partners to Tetra Data Platform without changing how your CRO/CDMOs submit data and trigger pipelines to transform and transfer your data to any destination including ELN, LIMS, and databases.
External partner data may vary in format. This makes analysis tedious and error-prone. Save your data scientists and data engineers time on busy-work, through automated data transformation to your standard data model.
Built-in data quality reporting on Tetra Data Platform ensures consistency of data across sources and reduces feedback cycles from days and weeks to minutes. Automatically add metadata and tags to ingested data sets. Search and filter data from a unified view within Tetra Data Platform.
Tetra Data Platform makes data science and analytics easier by integrating unified data with your favorite reporting and visualization tools to view data from different batches, compounds and assays, improving the quality and efficiency of your distributed research.
Biotechnology companies can now fully utilize their ADME data across different CROs, including querying and visualization of data sets, using their existing data science and analytics tools.
TetraScience Enables Distributed Research
Don’t take our word for it, hear from our customers.
Two Boston-based biotechnology companies specializing in gene therapy and precision medicine are leveraging Tetra Data Platform to streamline collaboration and enable FAIR access to pharmacokinetic and pharmacodynamic results. Read our case study to find out how Tetra Data Platform supports distributed research and accelerated discovery.
Read Case Study