OPmobility Uses NVIDIA AI to Advance Automotive Engineering

OPmobility Collaborates With NVIDIA and Siemens on AI-Enabled Automotive Engineering

OPmobility, formerly known as Plastic Omnium, is collaborating with NVIDIA and Siemens to improve automotive product design, validation, and manufacturing through artificial intelligence-enabled engineering and digital continuity. The collaboration combines AI-assisted engineering workflows with product lifecycle management and industrial digital twin technologies. Its aim is to streamline development processes while maintaining engineering oversight of critical decisions and final validation. The initiatives cover automotive bumper development, the coordination of engineering tasks, the management of product information across global research and development operations, and the visualization and optimization of products and manufacturing processes.

AI Agents Coordinate Automotive Bumper Engineering

At GTC Berlin, OPmobility and NVIDIA developed an agentic computer-aided engineering (CAE) workflow for automotive bumper development. The system uses specialized AI agents to coordinate several stages of the engineering process, including geometry and mesh preparation, structural and crash simulation, results analysis, compliance verification, and report generation. Rather than removing engineers from the decision-making process, the workflow keeps them in control of key design choices and final validation. This approach is intended to shorten development cycles, improve consistency across engineering tasks, and reduce errors while organizing complex activities within a coordinated digital workflow.

NVIDIA Technologies Support AI Workflow Orchestration

The bumper engineering workflow uses components of the NVIDIA Agent Toolkit, NVIDIA Nemotron open models, and the NVIDIA OpenShell secure runtime. These technologies support the orchestration and governance of AI agents across the engineering process. The secure runtime also forms part of the approach to protecting sensitive customer and product data. By coordinating tasks such as simulation, results analysis, compliance verification, and report preparation, the workflow aims to help engineering teams manage multiple development activities more consistently. Engineers nevertheless retain responsibility for key design decisions and final validation, keeping human oversight within the process.

Siemens Teamcenter X Establishes a Digital Thread

Alongside its work with NVIDIA, OPmobility is deploying Siemens Teamcenter X, a cloud-based product lifecycle management (PLM) platform. The platform is intended to serve as a digital thread backbone for product information and development processes across the company's global research and development network. A digital thread helps connect product information and development activities across different stages of a product's lifecycle. In this initiative, Teamcenter X provides the foundation for managing product information and development processes across the R&D network, supporting greater continuity in how information is organized and used throughout engineering operations.

Industrial Digital Twins Support Product and Manufacturing Optimization

OPmobility is also using Siemens Digital Twin Composer, powered by NVIDIA Omniverse libraries, to support industrial digital twin applications. These capabilities can be used to visualize, test, and optimize products and manufacturing processes in digital environments. Industrial digital twins provide a way to examine digital representations of products or processes before making corresponding decisions in physical operations. Within the announced collaboration, the technology complements AI-enabled engineering and product lifecycle management by supporting visualization and evaluation across product development and manufacturing. The announcement identifies these capabilities as part of OPmobility's broader effort to improve engineering and manufacturing through connected digital tools.

Industry Impact & Outlook

The collaboration illustrates how automotive suppliers can combine AI agents, cloud-based product lifecycle management, and industrial digital twins to connect engineering and manufacturing activities. For suppliers developing components such as bumpers, coordinated CAE workflows could help reduce repetitive work and improve consistency across simulation, analysis, and reporting, although the announcement does not quantify realized time or cost savings. Linking product information across a global R&D network may also help teams maintain continuity throughout development. The practical impact will depend on implementation and engineering validation, particularly because critical design decisions remain under human control and sensitive customer and product data must be protected.

Frequently Asked Questions

What is OPmobility doing with NVIDIA and Siemens?
OPmobility is collaborating with NVIDIA and Siemens to improve automotive product design, validation, and manufacturing through AI-enabled engineering and digital continuity. Its work with NVIDIA includes an agentic computer-aided engineering workflow for automotive bumper development. The Siemens initiatives include deploying Teamcenter X as a product lifecycle management backbone across its global research and development network and using Digital Twin Composer for industrial digital twin applications. Together, these efforts cover engineering task coordination, product information management, and digital visualization, testing, and optimization of products and manufacturing processes.

How does the AI-enabled bumper development workflow operate?
The workflow uses specialized AI agents to coordinate engineering activities involved in automotive bumper development. These activities include geometry and mesh preparation, structural and crash simulation, results analysis, compliance verification, and report generation. The system is designed to organize these tasks within a coordinated process, with the aim of shortening development cycles, improving consistency, and reducing errors. Engineers retain control over key design choices and final validation, so the announced approach supports engineering work rather than transferring final responsibility for those decisions entirely to AI agents.

Which NVIDIA technologies are used in the engineering workflow?
The agentic computer-aided engineering workflow uses components of the NVIDIA Agent Toolkit, NVIDIA Nemotron open models, and the NVIDIA OpenShell secure runtime. These components support AI agent orchestration and governance within the automotive bumper development process. The secure runtime also supports the approach to protecting sensitive customer and product data. The workflow coordinates engineering tasks ranging from preparation and simulation to results analysis, compliance verification, and report generation. The announcement describes the technologies and their intended roles but does not provide quantified results for development-time reductions or error-rate improvements.

What role does Siemens Teamcenter X play at OPmobility?
OPmobility is deploying Siemens Teamcenter X, a cloud-based product lifecycle management platform, as a digital thread backbone across its global research and development network. Its role is to support product information and development processes across that network. A digital thread connects information and activities across stages of product development, helping maintain continuity as engineering work progresses. The announcement presents Teamcenter X as part of OPmobility's broader digital engineering initiative alongside AI-enabled computer-aided engineering and industrial digital twins. It does not specify a deployment completion date or quantify the platform's operational benefits.

How will industrial digital twins support product and manufacturing work?
Siemens Digital Twin Composer, powered by NVIDIA Omniverse libraries, can support the visualization, testing, and optimization of products and manufacturing processes through industrial digital twins. These digital capabilities allow teams to examine digital representations of products or processes as part of engineering and manufacturing work. At OPmobility, the initiative complements the use of AI agents for engineering tasks and Teamcenter X for product information and development continuity. The announcement identifies the intended applications but does not disclose specific manufacturing sites, completed optimization results, or measured improvements from the digital twin deployment.

Does the announcement quantify the benefits of these technologies?
The announcement describes the intended benefits of the collaboration but does not provide numerical performance results. The AI-enabled bumper development workflow aims to shorten development cycles, improve consistency, and reduce errors. Teamcenter X is being deployed to support product information and development processes across OPmobility's global R&D network, while Digital Twin Composer can support product and manufacturing visualization, testing, and optimization. Engineers remain responsible for key design choices and final validation in the CAE workflow. Measured savings, deployment milestones, and quantified operational outcomes are not specified in the supplied announcement.