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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TetraScience helps life sciences organizations streamline data workflows, improve scientific outcomes, and drive innovation. For TetraScience customer case studies, see Case Studies.

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 some of the use cases, see the TetraScience Solution Briefs.