The behavioral pseudometrics introduced in the paper have various potential applications in domains such as systems biology, finance, and robotics where continuous-time diffusion models are commonly used. In systems biology, these pseudometrics could be utilized to compare and analyze the behaviors of biological systems modeled as continuous-time diffusions. This could aid in understanding the dynamics of biochemical reactions, signal transduction pathways, and gene regulatory networks. In finance, the behavioral pseudometrics could be applied to assess the similarities and differences in the behaviors of financial assets or portfolios modeled using diffusion processes, helping in risk management and investment strategies. In robotics, these pseudometrics could be used to evaluate the performance and behaviors of robotic systems operating in continuous-time environments, enabling better control and decision-making algorithms.