Engineer your scientific data for analytics and AI
Raw scientific data, siloed and locked into vendor-proprietary formats, provides little value to your organization. TetraScience transforms your raw data into purpose-engineered, liquid, compliant, and large-scale data, which is optimized for advanced analytics and AI/ML applications.
Transform raw, scientific data into Tetra Data
Streamline data preparation for analytics and AI and automatically convert your scientific raw data into Tetra Data. Benefit from our deep, long-term expertise in scientific data and best practices in purpose-engineering data for science.
The Rise of Sciborgs: Transforming How Science Gets Done
Introducing our new series: Sciborg™ Sessions. See how Sciborgs are fundamentally changing how science gets done.
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February 27th | 11am ET
What defines Tetra Data?
Tetra Data is the essential, atomic building block for capitalizing on the power of analytics and AI for science.
Compliant
Ensure data integrity and traceability of your datasets. Get audit trails and versioning for full compliance with 21 CFR Part 11 and GxP regulations and guidelines.
Liquid
Transform static, inaccessible, and siloed data into liquid data. Enable your data to flow seamlessly across instruments, applications, departments, and organizations.
Purpose-engineered
Break free from proprietary data formats. Harmonize data with Tetra Data—an open, vendor-agnostic, and AI-ready format complete with robust scientific taxonomies and rich ontologies.
Large-scale
Bring siloed data together into the large-scale datasets needed for meaningful AI-driven insights.
Build on a scientific lakehouse architecture
Natively support AWS Athena, Redshift, and Snowflake. Leverage the Delta Lakehouse architecture, which provides a foundation for Databricks and other data analytics and processing solutions of your choice. Support multi-modal data consumption ranging from data discovery and analytics to high-performance computing and AI-model training.
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Designed for enterprises
Consistent data governance for both raw and engineered data
Combine the capabilities of a data lake, a data warehouse, and more through a data lakehouse architecture that can handle raw, complex, semi-structured, and unstructured data assets. Benefit from a holistic solution to enforce consistent data governance.
No data duplication and federated data access
Avoid data redundancy and enable seamless data access across multiple domains within an enterprise. Use your existing enterprise data platform and warehouse and incorporate the Tetra Scientific Data and AI Platform seamlessly without data duplication or tedious ETL.
