
Aachen meets the future: At the VDMA event "AI Solutions for Mechanical Engineering" on June 17, 2025, Alexander Engels, CEO of aiXbrain GmbH, presented an impressive vision: machines that not only provide data, but also give answers – thanks to artificial intelligence and agent systems.
Despite IoT, edge computing, and digital twins, a central problem remains unsolved in mechanical engineering: knowledge is distributed – across minds, departments, and documents. Service cases escalate unnecessarily because information is missing or difficult to access.
Expertise is lost when skilled workers retire. And operational teams spend too much time searching for answers.
aiXbrain is addressing this challenge with an innovative concept: the AI software MachineGPT. The AI assistant brings machine knowledge to where it is needed – into the everyday work of service, operations, and engineering. Whether through dialogue with maintenance logs or concrete analyses via a multi-agent system, MachineGPT provides reliable answers to urgent questions.
What lies behind it is much more than a chatbot: an orchestrated interplay of LLMs (e.g., ChatGPT, Gemini, Claude), retrieval-augmented generation (RAG), vector databases, and an agent framework that intelligently controls tools and data sources. The result: automated analyses, context-related information, and practical knowledge transfer.
Equipped in this way, MachineGPT offers advantages on several levels:
In short: Knowledge is digitized, made scalable—and becomes a real asset in mechanical engineering and machine operation.
aiXbrain shows how state-of-the-art AI technologies can be used pragmatically and effectively in industry. The presentation at the VDMA event was not only a technical highlight, but also an appeal: Mechanical engineers should finally open up dialogue with their machines – and no longer wait for knowledge to flow by itself.
More information and a free trial version of MachineGPT are available here: www.machinegpt.ai