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Bioprocess Purification

Develop robust purification processes faster

Discover how to combine your analytical and process data and optimize purification conditions for biologics

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5x

faster time to insight

96x

faster chromatogram processing

5,000 hours/year

reallocated to higher-value work

Tetra workflow
for purification process development
Traditional workflow
for purification process development

Automated data collection

Automatically collect method scouting, optimization, and robustness data from CDSs and publish to ELN/LIMS

Centralized data access

Seamlessly access and analyze new and historical data with analytics apps—all in a single, browser-based workspace

Harmonized data

Harmonize and link process/manufacturing (FPLC) data with analytical (HPLC) data

Manual data transfer

Moving data manually between CDSs and analysis tools is time-consuming

Limited data access

Retrieving historical data for similar molecules to predict resin and conditions is difficult

Incompatible vendor data

Proprietary CDS formats are not harmonized, hampering data comparison and analysis across systems

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Learn how to transform your scientific data into AI-based outcomes.

Blog
Explore key topics across life sciences, data and AI
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Case study
Learn how SOLVO and TetraScience cut scientists' work in half with AI
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Video
Learn about the paradigm shift in scientific data management and analysis
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Optimize your separation methods

Replatform

Collect and centralize data from all CDSs, saving scientists hours per week with streamlined search and retrieval

Engineer

Contextualize and harmonize chromatography data to enable visual comparison and consolidated analysis

Analytics

Rapidly analyze thousands to millions of chromatograms to uncover insights that improve drug yield and purity

AI

Build AI models to predict optimal processing conditions for new molecules

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Increasing efficiency in purification process development

At a top 10 pharmaceutical company, scientists struggled to consolidate analytical data from UPLC and connect it with upstream processing data from FPLC. Learn how TetraScience transformed their workflow, enabling them to rapidly compare multiple runs, identify anomalies, and access historical data.

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