AI for productionand quality
Practical AI solutions for manufacturing companies in Austria and the DACH region: computer vision, quality inspection, predictive maintenance, and process optimization. Based in Tyrol, built for industry.
Practical AI Solutions
Practical over buzzwords: AI for production, quality inspection, and process optimization – delivered cleanly for manufacturing companies in Austria and the DACH region.
Production
Computer vision for stable processes and quality inspection on the shop floor
Computer vision for stable processes and quality inspection on the shop floor.
- Visual inspection
- Anomaly detection
- Process support
Quality
Automated quality checks and structured analysis of inspection and documentation data
Automated quality checks and structured analysis of inspection and documentation data.
- Automated testing
- Document analysis
- Traceability
Service
AI-assisted service workflows and intelligent automation
AI-assisted service workflows and intelligent automation.
- Email triage
- Chatbot integration
- Ticket routing
The Reality Check
From use case to validated AI solution — in a few weeks. For manufacturing companies in Austria.
Consultation & use case
We clarify goals, data availability, and success criteria for the pilot.
Pilot development
We 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.
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.
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.
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.
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.
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 work as a process engineer in manufacturing and 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.
That’s why I implement AI so it works in daily operations: clear scope, measurable KPIs, and practical rollout – on-site or remote.
"AI must work on the shop floor."
Ready for your AI pilot??
Tell me your use case in a few lines — I’ll get back with an honest assessment.