Intelligently Design Reactions
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
- Gain insight into reaction mechanisms for deep reaction understanding that can be leveraged for optimal processing
- Build confidence in scale-up using data-driven, prediction-based methodologies
- Develop higher-performing, greener chemistry to contribute to sustainability goals