Siemens

Siemens Knowledge Fabric: graph-based agentic workflows to modernize industrial legacy software

Siemens · Code modernization · GCP

Siemens and Google Cloud created Knowledge Fabric to help modernize large industrial software codebases and the applications that run on them. The system ingests the software ecosystem into an intelligent agentic workflow that can reason across code, Jira, Confluence, and PDF documentation while preserving explainability and traceability.

Multi-agentPilot

Siemens: Agentic generative AI global search with Amazon Bedrock and Amazon Nova

Siemens · Legal AI assistant · AWS

Siemens used Amazon Bedrock and Amazon Nova Foundation Models to streamline complex global search across 15-20 Siemens sites. Customers can enter natural-language queries and receive relevant information in seconds, instead of sifting through marketing pages to find technical documentation. An AWS Lambda function orchestrates validation, classification, summarization, and guardrail agents for the search workflow.

Multi-agentProduction

Siemens Industrial Copilot and Bosch AI Generative Inspection in German Manufacturing

Siemens · Predictive maintenance · Microsoft

Siemens and Bosch are leveraging Microsoft technologies to address significant challenges in the manufacturing sector in Germany. Siemens developed an Industrial Copilot powered by Microsoft Azure OpenAI Service for repair, prevention, and predictive maintenance, integrating instructions and failure predictions to support engineers. Bosch implemented generative AI to automate quality inspection, replacing manual inspection of fuel injection system components by using synthetic images to train defect recognition models.

Multi-agentProduction

Siemens streamlines aircraft engine part manufacturing through digital twin and AI automation

Siemens · AI platform · Microsoft

Siemens, Microsoft, and Rolls-Royce collaborated to optimize the complex design and manufacturing process of an aircraft engine hydraulic pump. The initiative leverages Siemens Xcelerator portfolio delivered on Microsoft Azure, integrating AI and digital twin concepts to create a unified digital environment for design, engineering, manufacturing, and quality inspection. Digital thread technology connects all stages of production, sharing managed data across software and processes, eliminating redundancies and manual errors. Generative design, additive manufacturing, and AI-driven automation transform the traditional manufacturing process, iterating countless possibilities to arrive at the optimal design and production path. With AI-powered Siemens NX X Manufacturing software, CNC programming and toolpath generation are automated, reducing effort and enabling compliance with best practices. The resulting hydraulic pump component is lighter, stiffer, and designed for greater reliability and sustainability, supporting Rolls-Royce's focus on next-generation, high-performance aerospace engines. The project showcased up to 80% programming time reduction and major productivity improvements at Hannover Messe 2025. The approach delivers digital transformation and sustainability gains for complex, safety-critical aerospace manufacturing.

Siemens and Tesla cut manufacturing downtime with self-healing AI

Siemens · Predictive maintenance · Microsoft

Siemens and Tesla have implemented self-healing AI agents in their manufacturing operations. These autonomous systems monitor equipment health, predict failures, and automate maintenance scheduling using Azure AI Foundry, Azure Machine Learning, Azure OpenAI Service, and Microsoft 365 Copilot. Siemens reported a 25% reduction in maintenance costs and increased uptime, while Tesla improved production efficiency by 15% and reduced downtime by 20%. The approach leverages real-time data analytics, predictive maintenance, and multi-agent systems. By automating routine maintenance tasks, these solutions optimize workflows, extend equipment lifespans, and ensure high product quality. The use of Azure-based AI technologies enables scalable deployment and integration. The business impact includes measurable reductions in costs, increased output, and improved operational efficiency. This case showcases actionable results in real-world manufacturing from combining agentic AI and Microsoft cloud technologies.

Multi-agentProduction