Scientists in the Chemistry, Manufacturing, and Controls (CMC) division at a top-ten biopharma company specialize in developing methods for purifying biologics. However, they struggled with inefficient data practices. Manually assembling and analyzing heterogeneous sets of chromatography data (from FPLC and UPLC) was far from scalable.
Discover how TetraScience accelerated their development cycle by replatforming and engineering chromatography data. This analytics-ready data powers an in-house application to further streamline and enhance analysis.
The new solution enables the CMC team to:
- Redirect thousands of hours of manual data handling to model building
- Search and retrieve chromatography data faster and easier
- Streamline troubleshooting during scale-up to facilitate tech transfer
- Generate AI-native data for future AI applications
