Accelerate and improve bioprocessing purification
Discover how to streamline downstream purification of biologics
5x
faster time to insight
2.5 FTEs
reallocated to higher-value scientific activities
AI-native data
for process optimization
Automated processes
Connect all data sources and targets seamlessly, boosting speed and data quality
Enriched data
Discover how CPPs impact CQAs to provide process intelligence on sources of variability
Ready for AI
Use advanced analytics and AI to generate higher-quality biologics in less time
Labor-intensive processes
Manually aggregating and comparing chromatograms is slow and error prone
Fragmented data
Correlating critical quality attributes (CQAs) with critical process parameters (CPPs) is difficult
Dead-end data sets
Data is unfit for analytics on continuous and discrete data for each batch and time point
Explore resources
Learn how to transform your scientific data into AI-based outcomes.
Unlock the full value of your purification data
Data integration
Collect and centralize data from FPLC software
Engineer
Contextualize and harmonize the data for search and analytics/AI
Data science
Explore purification data with visualization and analytics tools for insights
AI
Use AI to improve purification methods and predict issues
Accelerating bioprocessing purification at Alexion
Alexion, AstraZeneca Rare Disease, needed a technology partner to streamline a bioprocessing purification workflow so it could advance its analytics capabilities and transform the lives of patients with rare diseases.