Digital engineering

Digital engineering represents a strategic framework designed to accelerate innovation by connecting engineering disciplines and streamlining complex workflows. It supports simulation-driven development by providing unified access to multidisciplinary tools, including CFD, Mechanical, Systems simulation, and MDAO, deployable from individual desktops to enterprise cloud environments. By integrating AI-driven capabilities and powerful HPC resources, digital engineering allows organizations to scale their computational capacity on demand. This approach, supported by cloud-based entitlements and integrated AI chat, removes barriers to exploring new domains and ensures that simulation-driven insights guide every stage of the product lifecycle.

Digital engineering solutions enable seamless resource scaling by leveraging the cloud-native, SaaS architecture of Simcenter X. This platform empowers engineering teams to dynamically adjust both their modeling and computational capacity on demand, ensuring that complex multidisciplinary tasks are executed with maximum operational efficiency. Through the Altair One gateway, users can access expanded solver capacity and high-performance computing (HPC) resources via flexible cloud-based entitlements. This approach ensures that computational power is always precisely aligned with evolving project requirements, effectively decoupling simulation performance from local hardware limitations.

Simulation Process and Data Management (SPDM) is a digital framework for governing and orchestrating simulation data and processes, ensuring they are traceable, reusable, and aligned with the broader product development lifecycle.

By replacing disconnected silos with a managed environment, Teamcenter Simulation ensures data consistency by establishing a comprehensive digital thread across 1D, 3D, and physical testing domains. By automatically building relationships between engineering data and simulation models, it provides full traceability and eliminates the risks of managing data in shared file systems. Productivity is enhanced through templatized and automated workflows that reduce manual, error-prone tasks and facilitate the rapid reuse of proven models.

Furthermore, centralized dashboards and automatically extracted KPIs capture engineering knowledge, enabling stakeholders to make timely, data-driven decisions while fostering seamless collaboration through an open platform that integrates both Siemens and third-party tools.

Digital engineering solutions incorporate a comprehensive suite of AI capabilities, including geometric deep learning to deliver physics predictions faster than traditional solvers, and reduced order modeling, to transform simulation data into real-time predictive insights. Within MDAO, AI prediction models are leveraged to drastically accelerate design exploration, navigating vast design spaces, and uncover optimal performance configurations. An integrated AI chat assistant further enhances productivity by providing on-demand technical support and workflow optimization directly within the environment. Through the integration with Teamcenter Simulation, teams ensure that the datasets used for machine learning are managed with full traceability and data integrity.​

Cloud-based entitlement provides a centralized framework for managing software licenses and computing resources through the Siemens Xcelerator admin console. This model allows organizations to dynamically allocate named-user licenses, floating tokens, and time-based credits across global engineering teams based on real-time project needs. By providing transparent oversight of resource usage and entitlements, cloud-based entitlement simplifies governance, optimizes software spend, and ensures that teams always have the necessary tools and HPC capacity to meet their simulation objectives.​