AI for productionand quality
Knowledge management with RAG systems, computer vision for quality control, predictive maintenance. I advise on and implement practical AI for manufacturing companies in Austria and the DACH region. Based in Tyrol, built for industry.
Practical AI Solutions
My primary focus is knowledge management with RAG systems – complemented by consulting on computer vision, predictive maintenance, and process optimization for manufacturers.
Knowledge Management
Private RAG systems that make your documents searchable via AI chat – with TyrolAI Docs as the foundation
Private RAG systems that make your documents searchable via AI chat – with TyrolAI Docs as the foundation.
- Chat with documents
- On-Premise / GDPR
- Microsoft SSO
Quality Control
Computer vision for automatic defect detection and quality inspection in manufacturing
Computer vision for automatic defect detection and quality inspection in manufacturing.
- Visual inspection
- Anomaly detection
- Process support
Maintenance & Optimization
Predictive maintenance and process optimization – predict machine failures, optimize parameters
Predictive maintenance and process optimization – predict machine failures, optimize parameters.
- Vibration analysis
- Anomaly detection
- Process optimization
The Reality Check
From use case to validated AI solution — in a few weeks. For manufacturing companies in Austria.
Consultation & use case
I clarify goals, data availability, and success criteria for the pilot with you.
Pilot development
I build a pilot that tests your use case in real operations.
Validation & scale
Review results and decide whether and how to scale.
Insights that are actionable
Short, practical articles on AI in production, quality, and service.
TyrolAI Docs: Why I built my own RAG system for industry
Enterprise RAG sounds like a solved problem. In practice, most off-the-shelf solutions fall apart at GDPR, Active Directory, or the question of who is allowed to see which document. That is why I built TyrolAI Docs.
AI in metalworking: What actually works and where to start
Metalworking offers ideal conditions for AI: repetitive processes, measurable quality, and existing sensor data. But the entry point has to be realistic.
Predictive Maintenance in Manufacturing: What AI Can Actually Do
AI-based predictive maintenance sounds promising - but not every machine needs it. An honest look at the technology, data requirements, and how to start.
Computer vision in quality control: What actually works in practice
Computer vision quality control sounds promising but has pitfalls. Four use cases, honest limitations, and what you actually need to run automated quality control in manufacturing.
Edge Computing vs Cloud: Where Should Manufacturing AI Run?
Edge or cloud? The answer is rarely black and white. A practical comparison for manufacturing companies looking to deploy AI on the shop floor.
From idea to AI pilot in 2 weeks: the process
Big AI projects often fail because of unrealistic expectations. An AI pilot project in two weeks delivers real results with minimal risk. Here is the concrete process.
From practice for practice
I'm Simon Kirchebner – an independent AI consultant with a background as a process engineer in manufacturing. I know the reality of production: shift work, quality pressure, and robust processes. Based in Tyrol, I serve manufacturing companies across Austria and the DACH region.
As a solo consultant, I advise and implement directly – no project-manager cascades. My approach: clear scope, measurable KPIs, and practical rollout – on-site or remote.
"AI must work on the shop floor."
TyrolAI Docs
Enterprise RAG platform for industrial companies — on-premise, GDPR-compliant, with Microsoft SSO and document-level security. The foundation of my knowledge management projects.
Ready for your AI pilot??
Tell me your use case in a few lines — I’ll get back with an honest assessment.