Run the optimizer on your models to determine which runs to explore next. This takes the guesswork out of experimental planning and maximizes the value of your existing data, helping you make faster, more effective decisions throughout your process development.
How It Works
- Build your model: Select the output you want to optimize—whether it’s a specific product titer, pH balance, or another metric.
- Define Your Parameters: Set boundaries for your key variables, such as temperature, feed rates, or substrate concentrations.
- Run the Optimizer: With a single click, the system calculates the most promising runs to explore next.
- Explore Suggested Runs: Conduct the recommended experiments and feed the results back into your model to continuously refine it.
Need Assistance? Please don't hesitate to reach out for a guided walkthrough.