We support you in establishing modern process analytics. All process data is utilized and combined with existing analytical data.
Batch data is modeled, classified, and used for process control. You achieve low- fluctuation processes that you operate at the optimum.

We generate process models using the data that is already available. This data often exists almost completely unused. We bring it together and use it to develop initial, robust control mechanisms.
We construct initial process models from laboratory and process data. From these, we derive potential optimization opportunities and design a process control structure.
Action limits and controls are developed from historical laboratory and production data and presented in a simple format. Only this visualization makes it truly possible to control the process with them. In doing so, you increase process reliability and reduce variations.



PAT — A Framework for Innovative Pharmaceutical Development, Manufacturing, and Quality Assurance
