Imagine if the 'secret sauce' of how your best technician fixes a machine wasn't just in their head, but in a smart digital guide. This project builds a system that sucks up that expert knowledge from manuals and interviews and turns it into a chatbot. Now, a new employee can just ask the bot how to safely shut down a machine and get the exact right steps instantly.
Expert knowledge in factories is often trapped in employees' heads or buried in messy documents. This leads to costly mistakes, safety risks during maintenance, and slow training for new staff.
A suite of 7 tools including automatic knowledge extractors, a knowledge management system, and conversational chatbots that turn technical manuals into interactive guides.
If you are a production plant dealing with dangerous machinery maintenance—this project developed a conversational AI assistant for Lock-out-Tag-out (LOTO) procedures that guides operators step-by-step. This ensures safety and boosts worker confidence by formalizing undocumented steps.
If you are a machinery provider dealing with complex system commissioning—this project developed a tool to digitize expert knowledge into a chatbot. This allows junior technicians to access expert guidance, reducing onboarding time and minimizing errors.
If you are a grid operator dealing with inefficient energy use—this project developed tools to capture and deploy energy optimization procedures. This helps staff adopt the best practices to reduce resource consumption.
Based on available project data, specific pricing for the tools is not mentioned; the project was supported by an EU contribution of EUR 2,908,625.
Yes, the project has already been tested and deployed across three diverse industrial use cases, including a white goods plant and CNC machine environments.
Based on available project data, the specific licensing terms are not listed, but the project provides a reference architecture and modular tools for industrial customization.
The project uses a reference architecture and a shared ontology to ensure the digital tools are interoperable and can be customized to specific industrial requirements.
The first release of integrated solutions and tools was delivered by month 15 of the project timeline.
The consortium is heavily weighted toward commercial application, with a 70% industry ratio (7 industry partners out of 10). This strong industrial presence, including SMEs and large players across 5 countries, suggests the tools are being built for actual market needs rather than academic curiosity.
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