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A process is only as good as the understanding behind it. Z2 helps you identify what really drives performance and product quality, build that knowledge systematically, and use it to optimise with confidence – using industry-relevant approaches including QbD, DoE, scale-down models and process characterisation.
What we do
- Quality by Design (QbD) frameworks and risk assessment
- Design of Experiments (DoE) strategy, design and analysis
- Critical process parameter identification and robustness assessment
- Scale-down model development and qualification
- Process comparability across scales and sites
- PAT/Raman, multivariate data analysis (MVDA) and predictive modelling
Smarter experiments, earlier decisions
The aim is not more experiments but better ones: experiments designed to answer the questions that matter, analysed to extract more knowledge from the data you already have, and linked to the decisions that follow. Few programmes compare sending and receiving sites, or build a scale-down model, before GMP – which is exactly where characterisation pays back.1
Where rushed timelines break
Scale-up before the process is understood; process limits that surface in due diligence rather than development.
Where Z2 helps
DoE-led parameter work, a qualified scale-down model and a clear map of critical process relationships – before you scale.
Sources
- BioPharm International. Current challenges with cell culture scale-up for biologics production.
