Anticipate the effects of decisions before implementation
Optimize strategies in complex and uncertain environments
Use Cases
Use case in health to anticipate and optimize clinical trials: Causal simulation of protocols and patients
Traditional approaches analyze trials once they are launched. ScalTwin simulates patient trajectories and protocol scenarios to anticipate results before implementation.
- Test "what-if" scenarios on inclusion criteria, dosages, or visits
- Identify the most responsive patient subgroups
- Reduce failure risks and optimize trial design
Use case in chemistry to accelerate molecular R&D: Causal simulation of reactions and processes
Traditional approaches rely on costly and iterative experimental trials. ScalTwin simulates chemical reactions and experimental conditions to anticipate the performance of molecules and processes.
- Virtually explore experimental conditions and formulations
- Identify the key factors influencing yield, stability, and quality
- Accelerate development and reduce experimentation costs
