Industrial Metaverse

The new standard for smart manufacturing

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Use physically accurate digital twins to virtually validate planning, robotics, and quality. Rely on STACKIT to boost transparency, efficiency, and data sovereignty in your production.

Challenge: Reactive Processes and Data Silos

Many production environments still operate with fragmented data, reactive processes, and high manual effort. A consistent overall view of the factory is often lacking, while physical testing of new equipment or robot programs remains expensive and time-consuming. The most significant challenges are evident in the following areas:

Reactive processes

Quality control, planning, and commissioning are performed manually and with delays.

Complex production environments

Many stakeholders work with different, isolated data sources.

Significant testing effort

Physical testing requires time, resources, and expensive prototypes.

Lack of a single source of truth

3D assets and factory data are scattered across various locations and difficult to maintain.

Late error detection

Bottlenecks in material flow, transportation, robotics, and quality control often don't become apparent until it's too late.

Measurable Value: Efficiency, Stability, Sustainability

Increase efficiency and planning reliability in your production. Virtual simulations and data-driven analyses enable informed decisions before changes are implemented in real-world manufacturing.

Faster time-to-market: Shorten time-to-market through virtual commissioning and robot simulation.
Lower hardware costs: Reduce investments by testing in the digital twin instead of on physical prototypes.
Reduced coordination effort: Use a central 3D asset hub as a single point of truth.
Early bottleneck detection: Identify bottlenecks in transport, palletizing, and material flow in advance.
Higher planning quality: Make decisions based on physically accurate simulations.
360° quality overview: Implement AI-based quality assurance for product and machine quality.
More stable processes: Use standardized trend analyses for machine and process stability.
Greater sustainability: Reduce material and production errors, rework, and transport distances.

Solution: Modular Industrial Metaverse on STACKIT

A modular, physically accurate Industrial Metaverse forms the foundation for a new generation of digital production planning. It is based on technologies such as NVIDIA Omniverse, digital twins, knowledge graphs, and AI, and runs seamlessly on STACKIT. Digital twins of machines, AGVs, robots, and production lines enable virtual commissioning and realistic simulations.

CAD models, existing simulations, and sensor data are integrated into interactive planning environments and parameterized in real time. Test robotics and pick-and-place applications virtually before transferring the programs directly from the digital twin to the real-world cell. A centralized 3D asset management system serves as a single point of truth, connecting engineering, production, and IT in a shared environment. AI models and knowledge graphs support simulation, quality assurance, and standardized analyses in the European STACKIT Cloud.

Competitive Advantage: Future-Proof Production Architecture

Position your manufacturing as an Industrial Metaverse pioneer. Scale from initial pilots to global plants in cloud, on-prem, or hybrid setups. Leverage an open technology stack to accelerate decision-making and enhance collaboration.

Scalable architecture

Expand from single plants to multi-site scenarios in the cloud or hybrid environments.

Open technology stack

Use Omniverse, Python, ISAAC SIM, and knowledge graphs for your extensions.

Faster decisions

Accelerate coordination between engineering, production, quality control, and IT.

Immersive collaboration

Work together in interactive, virtual planning environments.

Robust cloud foundation

Benefit from European data sovereignty and compliance on STACKIT.

The foundation: STACKIT Cloud and data integration

Build your Industrial Metaverse on a sovereign cloud architecture. Scalable compute and storage resources form the basis for simulations, digital twins, and AI models. Container-based platforms enable the flexible operation of Omniverse instances, analytics services, and knowledge graph components. Integrate heterogeneous data sources such as CAD models, existing simulations, and sensor data from production, and bring them together in a shared environment. This creates a consistent data foundation for simulation, planning, and collaboration across plants and teams.

Scalable cloud resources: for simulations and digital twins
Container-based platforms: for flexible AI and analytics services
Integration of heterogeneous data sources: for a unified factory and simulation database
Consistent data foundation: for multiple plants and engineering teams

Frequently Asked Questions (FAQ)

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Would you like to find out more about STACKIT cloud solutions? Do you have questions about cloud services, would you like an individual price estimate or would you like to find out more about our company? Use our contact form to get in touch with our experts directly. We will be happy to help you!

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