AI Specialized for
Chemical Processes
Predict quality, consistency, and yield with AI-driven digital twins
AI-Driven Consistency Across
Specialty Chemical Processes
Accelerate scale-up and achieve consistent product performance through AI-driven digital twins that model chemistry, process, and quality outcomes
Performance Polymers, Monomers, & Adhesives
Predict mechanical, thermal, and chemical performance outcomes during production and scale-up.
Semiconductor & Advanced Materials
Accelerate fab qualification and ensure every batch meets 9N purity by predicting quality and performance outcomes virtually.
Real-time prediction of product quality and process performance
Leverage AI to predict and anticipate changes in purity, viscosity, Tg (and more) and intervene if deviations arise.
Accelerate accurate scale-up
with virtual experimentation
Virtually simulate your real-world processes to experiment with and refine different raw material combinations and proportions, getting new, high-quality formulations to market faster.
Integrate AI in weeks, not months
Unlock fast, measurable process improvements with explainable digital twins that your teams can trust.
>30%
Fewer physical experimentations.
20%
Improvement in yield and cycle time.
40%
Reduction in quality deviations.
Improve process understanding and process data in one place
Seamlessly connect manufacturing data from historians, MES, and LIMS into a single environment, giving teams a transparent, end-to-end view of their processes.
Deploy explainable AI you can trust
Discover how the Basetwo platform can streamline your processes and enhance product quality.
