Discover the Benefits of In Silico Process Developement
Simulation Technology for Life Sciences
Model-based process optimization and characterization made easy
Our technology allows to develop computer models of your chromatography column, using very few lab experiments: Typically, three to four lab experiments are necessary to initialize the model. Hereto, it is not even necessary, to carry out new experiments – you can simply utilize existing process data.
In the following, your process is being optimized in-silico, i.e. completely on the computer. No lab experiments are necessary for this optimization. Once the in-silico process has reached a desired quality, a final lab experiment can be utilized for validation.
Save Time and Money
Skip up to 95% of lab experiments with computer-aided bioprocess development.
As soon as the model is calibrated, it can be used to replace all of your lab experiments. This allows to skip up to 95% of lab experiments in bioprocess characterization and instead utilize virtual experiments with the same information content.
Virtual experiments are both significantly cheaper and faster than lab experiments. This allows for a shorter and cheaper development period and at the same time also for an earlier market entry. In addition, virtual facility fits grant you more flexibility in the operation of your infrastructure.
Improve Quality, Reduce Risks
Perform in-silico process optimization, robustness studies, and worst-case analyses.
In-silico chromatography models can help you optimizing the quality of your bioprocess. Without any additional lab work, your computer model can be utilized to optimize your bioprocess with respect to your own goals: a maximum yield, purity or many others.
In-silico models can also help you reducing the risks of your bioprocess: Challenge your process with virtual robustness studies to identify critical process parameters and quality attributes. Carry out worst-case analyses, trace back and identify error sources.
Gain a mechanistic understanding of your processes and facilitate the fulfillment of regulatory expectations.
In-silico chromatography can facilitate meeting Quality-by-Design expectations on various stages: Risk identification, process development and optimization, risk analysis, or even process monitoring and control.