Modern companies rely heavily on systems engineering and requirements engineering to define, design, develop, and manage products, as well as to facilitate collaboration. However, many requirements are often poorly written or convey incorrect information, leading to miscommunication and potentially flawed development processes. This project harnesses the advanced natural language understanding capabilities of large language models to enhance the quality of requirements. Specifically, we refine and validate requirements, converting them into simulatable requirement models that support early validation and testing of system design models, ensuring a more efficient and reliable development lifecycle1.