Once the scientist has logged in, the main interface (Figure 1) enables the scientist to input the experiment setup. The scientist has full control on which parameters are selected.
Given the experiment setup, the AI takes ~5 seconds to forecast the culture evolution. The AI automatically tests 64M variations of critical process parameters (CPPs) to monitor and control critical quality attributes (CQAs) (Figure 2).
The product provides AI recommendations (Figure 3), on how to improve process goals. SimCell uses the power of AI to unlock the black box of process understanding and describes the relation between the CPPs and CQAs
Forecast evolution of thousands of cell cultures by simulating a bioreactor based on your initial inputs.
Decrease failure rate and apply the knowledge to gain better control by having a more closed process
Use SimCell to expand operational capacity by 5x and save up to €2.4M/year in operating costs.
By using SimCell you can learn faster and save time. SimCell reports on what happened during bioprocess and shows recommendations on how to get optimal results.
SimCell can “predict the future” cell growth and estimated product yield with less sampling and contamination.
Use SimCell’s trusted AI technology to discover alternative ingredients and processes by testing thousands of experiment variations in minutes.
Listen to the interview on Spotify. We had an insightful discussion with Fernanda Masri, the Head of Commercial Operations at the Stevenage Manufacturing Innovation Centre
Listen to the interview on Spotify. We had an interview with Cenk Sumen during his previous working stage as the Chief Technology Officer (CTO) at
Summary Recently, we have launched a survey to identify what value the scientists are looking to have in their manufacturing pipeline. Based on the results
