The GENVIA Electrolyzer Static System Model (SSM) is an advanced computational tool designed to predict the full thermodynamic state of a High-Temperature Solid Oxide Electrolysis (SOE) module from a defined operating point within a Process Flow Diagram (PFD). Using detailed physical and thermodynamic characteristics for each subsystem of the Electrolyzer, the SSM enables a robust evaluation of system performance under a wide range of operating conditions. The SSM simulates the integrated behavior of a highly modular architecture composed of interconnected elements: Stacks, Branches, Segments, Heat Exchangers, Heaters, and TJunctions. Through a comprehensive representation of fluid dynamics, heat transfer mechanisms, mass transport, and pressure balancing, the SSM allows users to explore how configuration choices and boundary conditions shape overall system efficiency and operability. With support for customizable topologies and component level parameters, the GENVIA Electrolyzer SSM provides a core framework for system design, performance optimization, and early stage decisions in next generation hydrogen production. The SSM engine leverages Reduced Order Models (ROMs) derived from highfidelity CFD models using parametric simulations. This approach enables the rapid computation of flow rates, pressures, and temperatures at any point of interest while preserving the accuracy and consistency of fullscale numerical simulations. By cutting computation time without sacrificing physical fidelity, it delivers key thermohydraulic variables that support system level assessments and guide development teams optimizing components from Stack assemblies to full Electrolyzer subsystems. The publication will outline the end-to-end process used to convert detailed 3D component models into an online digital modeling platform. It will explain how high fidelity geometries are simplified, parameterized, and integrated into computational frameworks, enabling users to engage with a streamlined web based simulation environment. This workflow demonstrates how complex engineering data is transformed into an intuitive tool supporting design exploration, performance assessment, and collaborative development across the Electrolyzer ecosystem.