A single adjustment in a bioprocess might feel insignificant. Yet in practice, a small feed change on day three could ripple forward to alter lactate accumulation, disrupt glycan profiles, and push an entire batch outside of critical specifications.
This phenomenon—the butterfly effect in bioprocessing—remains one of the biggest challenges in modern manufacturing. Traditional methods often miss these complex interactions because they focus on parameters one at a time or assume simple, linear relationships. When reality refuses to follow those rules, teams are left facing costly failures and long delays.
At AnalysisMode, we believe bioprocessing deserves better tools. That’s why we built SimCell™, a digital twin platform powered by advanced AI, designed to transform the way teams understand and control biological systems.
Seeing the Dominoes Before They Fall
What sets SimCell apart is its foundation in neuroevolution technology. Unlike static algorithms that stay locked in predefined structures, SimCell evolves and adapts its logic, shaping itself around the unique data patterns of each bioprocess.
Rather than simply predicting trends, SimCell uncovers cause-and-effect pathways hidden in the data. It links early-stage decisions—like a modest adjustment in feed concentration—to outcomes that might emerge days later, such as changes in product quality or yield.
But perhaps most important for process development teams and regulatory confidence: SimCell is fully explainable. Scientists receive clear insights into why the AI recommends specific actions, not just black-box predictions. This clarity turns complex data into knowledge teams can trust and defend.
Virtual Experimentation at Scale
SimCell allows teams to build a digital twin of their bioprocess. This digital twin serves as a virtual testing ground for exploring countless “what-if” scenarios—without risking a single batch or consuming costly resources.
Consider questions like:
What if the glucose feed rate changes by a small percentage?
How would a slightly higher temperature influence lactate buildup over time?
Could subtle pH adjustments stabilize glycan profiles under certain conditions?
Traditional approaches might demand dozens or even hundreds of physical experiments to explore these possibilities. SimCell delivers those insights in seconds, guiding decisions with speed and confidence.
Transforming Risk into Opportunity
Every failed batch carries significant financial cost and erodes momentum. Yet beyond dollars and timelines, failures chip away at confidence—both in the process and in the ability to innovate quickly.
SimCell turns uncertainty into clarity. It helps bioprocessing teams move beyond reactive troubleshooting and start managing processes proactively. Teams can optimize their designs, reduce experimental burden, and accelerate timelines without compromising quality.