Increasing efficiency in purification process development

At a top 10 pharmaceutical company, scientists developing purification methods were bogged down by inefficient data processes. They struggled to consolidate analytical data from UPLC and connect it with upstream processing data from FPLC. This hampered chemistry, manufacturing, and controls (CMC) efforts.

The Tetra Scientific Data and AI Cloud™ transformed the workflow by enabling a seamless exchange of data between chromatography data systems (UNICORN and Empower) and Signals Notebook. Scientists can now compare multiple runs effortlessly, identify anomalies rapidly, and access historical data instantly.

Find out how TetraScience helped this pharma:

• Eliminate 25 to 100 hours per week of manual data transcription
• Reduce data search times by up to 8 hours
• Streamline report preparation, saving 10 to 20 days per year
• Speed up process development by predicting optimal purification conditions to maximize yield and purity
• Reclaim $375,000 per year in scientists’ time