Simvue captures detailed metadata and data lineage, including inputs, parameter changes, and generated artifacts, to create traceable records of each run. These capabilities help engineering and research teams organise experiments, understand model behaviour, and prepare datasets for AI and machine learning training. The platform is designed for intensive engineering and scientific use cases such as fire safety analysis, climate and weather modeling, aerospace simulations, financial modeling, and motorsport aerodynamics. Simvue also offers integrated optimization components that automate testing campaigns and help users identify efficient configurations and parameter sets. Its goal is to make large-scale computational workflows more transparent, efficient, and manageable for technical teams.