Scale‑up Suite

Optimize reactions faster, using fewer experiments

• Use mechanistic models to predict conditions that maximize yield and minimize impurities in synthetic organic processes
• Quickly transform routinely collected process, PAT, and offline analytical data into kinetic models that enable greater reaction understanding with limited time and materials
• Extract full value from data to provide critical guidance and speed development work
• Build confidence in scale-up using data-driven, prediction-based methodology
• Develop higher-performing, greener chemistry to contribute to sustainability goals

Learn more about Reaction Lab.

Predict the performance of every unit operation before each campaign to ensure success on scale-up from lab to plant

• Predict mixing effects on reactions and crystallizations at different scales and vessel types
• Simplify and accelerate tech transfer and increase collaboration with CDMO and manufacturing partners
• Design safe processes by predicting key parameters such as time to maximum rate (TMR) and maximum temperature of synthesis reaction (MTSR)
• Develop an understanding of kinetics and other engineering parameters to enable the effective translation of processes from batch to flow chemistry
• Extensive library of ready-to-use simulation tools developed by industry experts, readily available to all users

Learn more about Dynochem.