Develop robust purification processes faster
Discover how to combine your analytical and process data and optimize purification conditions for biologics
5x
faster time to insight
96x
faster chromatogram processing
5,000 hours/year
reallocated to higher-value work
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.
Tune in live on LinkedIn:
February 27th | 11am ET
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
Explore resources
Learn how to transform your scientific data into AI-based outcomes.
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
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.