CCSI researchers recently published results describing multi-scale dynamic capture models and an innovative method to reduce the complexity of PDE-based and rate-based dynamic models, while preserving input-output behavior. Dynamic reduced models (D-RMs) are used to approximate high-fidelity capture models, thereby offering a trade-off between accuracy, range of applicability, and computational cost. This approach is implemented in a D-RM builder tool that automatically generates fast D-RMs using pre-computed results from repeated simulation of high-fidelity dynamic process models.