use cases manufactuing und automotive

Futuristic car with digital hologram lines representing a digital twin and modern automotive technology.

Seamless ADAS Architecture

Develop highly automated driving functions on a cloud infrastructure that combines maximum data sovereignty with the highest scalability—Made in Europe and fully compliant.

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Analyze how decentralization contributes to the security and resilience of blockchain-based networks,close-up

Maximum Resilience for Energy Providers

How critical infrastructure is protected from cyberattacks through highly available cloud solutions, ensuring stable network operations and NIS2 compliance.

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Leveraging IoT and smart factory systems to enhance overall equipment effectiveness (OEE) and streamline operations

Real-time OEE optimization

Increasing manufacturing efficiency: With real-time monitoring and AI-powered analytics, production losses are identified immediately and overall equipment effectiveness is increased—while fully protecting sensitive machine data.

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Illustration - Smart Factory Automation Industry 4.0 Digital Transformation

Seamless IT-OT Integration

Agile manufacturing through standardization: This use case describes how a unified namespace in the cloud connects fragmented OT landscapes, reduces infrastructure costs, and creates a scalable foundation for real-time production data.

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Elongated turbine as a digital matrix drawing in orange, the interior of a modern production hall, landscape format

Unified Namespace for Manufacturing

Centralized data availability in the factory: Learn how a unified namespace eliminates data silos and creates a reusable, real-time database for all manufacturing processes—efficiently, scalably, and securely.

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High-tech, automated warehouse control panel with a transparent data visualization screen, directing a conveyor belt system within a logistics center.

Real-Time Production Intelligence

Full control over manufacturing: This use case demonstrates how a digital production control center analyzes machine data in real time to increase OEE, reduce downtime, and ensure quality directly during the production process.

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Holografische Datenvisualisierung über einer modernen, automatisierten Produktionsstraße in einer Fabrikhalle.

MIRA: Enabler for Software-Defined Manufacturing

Modular architecture for production: MIRA serves as a reference architecture to connect heterogeneous machine fleets across locations and create a scalable foundation for digital twins and AI-supported manufacturing in the cloud.

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Close-up of an eye with digital network lines, symbolizing data transparency, observability, and IT monitoring.

Computer Vision in Quality Control

AI-powered image inspection for manufacturing: This use case describes how computer vision detects defects early in series production, drastically reduces manual inspection efforts, and seamlessly harmonizes quality standards worldwide in the cloud.

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Abstract neural network structure with glowing data points in orange and blue – representing computer vision and AI data processing in the cloud.

Reliable detection of noise anomalies

AI-based acoustic testing for quality assurance: Learn how noise anomalies in production are automatically detected to prevent scrap early on and confidently establish objective testing standards in the cloud.

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VR Collaboration: A futuristic vision of innovation with a man and woman wearing VR headsets and interacting with a holographic 3D model in a modern industrial setting. The image embodies cutting-edge

Industrial Metaverse

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

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Digital Twin Linkage Visual

Digital Twin Linkage

Connect virtual models to real-world production. With Digital Twin Linkage, you can continuously analyze, simulate, and optimize your manufacturing processes.

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Operational Risk & Reliability Management Hero

Operational Risk & Reliability Management

The failure of critical components such as main presses or drive trains often leads to the shutdown of entire production lines. Such rare, high-impact events are difficult to predict through traditional maintenance.

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