The Tetra Scientific Data and AI Cloud is purpose-built for scientific data. Based on our expertise in life sciences, we have identified key data workflows for specific scientific processes that are highly repeatable and impactful for organizations to accelerate their processes, and to improve the use of their scientific data for better insights and innovation. The following are some example use cases.

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For TetraScience customer case studies, see Case Studies. For more information and best practices, see the TetraConnect Hub. To request access, see Access the TetraConnect Hub.

Research

• Asset utilization
• CxO collaboration
• Flow cytometry
• High-throughput screening

Early Development

• Asset utilization
• Biologics characterization
• Bioprocessing purification
• Chromatography
• CxO collaboration
• Formulation development

Late Development

• Asset utilization
• Biologics characterization
• Bioprocessing purification
• Chromatography
• CxO collaboration

Manufacturing / QC

• Asset utilization
• CxO collaboration
• QC for biologics
• QC for small molecules

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For more information about these use cases, see the TetraScience Solution Briefs.