Optimize Your Bioprocess
Against Competing Objectives with Optimizer
40
Decision Variables
10
Minutes to set up
95%
Reduction of manual operation
<90 min
To achieve results*
Part of our new BioSolve® Analytics package, Optimizer is a proprietary optimization tool that employs Bayesian methods to automate the daunting task of multi-variable and multi-objective bioprocess modeling.
The Industry Challenge
Whether you are producing mAbs, vaccines, or viral vectors, bioprocessing is a complex endeavor. Tools such as our renowned BioSolve® Process (BSP) modeling software have aided process engineers and production managers for years. However, manually creating multiple process scenarios and determining the Design Space is time consuming and not feasible when you have multiple objectives and dozens of decisions to consider in your design space.
The Solution
Optimizer solves this matter by unwinding complex, intractable issues to generate optimal solutions that solve multiple objectives using proprietary and automated Optimization.
Optimizer’s Bayesian statistical optimization development was supported by an Innovate UK Knowledge Transfer Project in collaboration with University of Manchester, Prof. Richard Allmendinger.
Part of our new BioSolve Analytics package, Optimizer is a proprietary optimization tool that employs Bayesian methods to automate the daunting task of multi-variable and multi-objective bioprocess modeling.
40
Decision Variables
10
Minutes to set up
95%
Reduction of manual operation
<90 min
To achieve results*
The Industry Challenge
Whether you are producing mAbs, vaccines, or viral vectors, bioprocessing is a complex endeavor. Tools such as our renowned BioSolve ProcessTM (BSP) modeling software have aided process engineers and production managers for years. However, manually creating multiple process scenarios and determining the Design Space is time consuming and not feasible when you have multiple objectives and dozens of decisions to consider in your design space.
The Solution
Optimizer solves this matter by unwinding complex, intractable issues to generate optimal solutions that solve multiple objectives using proprietary and automated Optimization.
Optimizer’s Bayesian statistical optimization development was supported by an Innovate UK Knowledge Transfer Project in collaboration with University of Manchester, Prof. Richard Allmendinger.
Make the Uncertain Certain
Your bioproduction facility may be charged with several objectives: minimize cost and labor, maintain process performance, and support corporate sustainability initiatives. Bayesian optimization offers a deeper dive into model evaluation through a principled and sample-efficient approach guided by a surrogate model of the objective function.
Your bioproduction facility may be charged with several objectives: minimize cost and labor, maintain process performance, and support corporate sustainability initiatives. Bayesian optimization offers a deeper dive into model evaluation through a principled and sample-efficient approach guided by a surrogate model of the objective function.
Objectives with Optimizer
Select up to 3 during optimization
Process Cost
Capital
Labor
Process Performance
Sustainability
Time
…And much more which you can set up!
Objectives with Optimizer
Select up to 3 during optimization
Process Cost
Capital
Labor
Process Performance
Sustainability
Time
