AI that understands your hall.
No GPT wrapper. Real models on real sensor data, trained on your plant — on-prem or in the cloud.
Predictive Maintenance
Motor currents, vibration, temperatures → Prediction of when the system will shut down. Real: −90% downtime.
Vision & QA
Image recognition models for surface inspection, label OCR, defect classification. Runs on a Jetson box in the cabinet.
LLM Copilot
Parse specifications, search operating manuals, automate maintenance tickets. Local LLM possible.
Four steps until your problem is solved.
Get to know each other
15-min call or on-site appointment. You tell us the problem, we listen and ask questions.
Concept + Quote
Within 5 working days, you'll receive a tangible concept with a fixed price or hourly range.
On-site Implementation
We are on the construction site, in cabinet building, or on the code — depending on the phase. Weekly status.
Acceptance + Training
Clean handover, training of your team, digital documentation. We remain reachable afterwards.
Rinse cycles predicted · Downtime reduced by 92%.
Sensors tapped from existing SPS (PLC), LSTM model trained with 3 months of data, integrated into TIA maintenance module.
Frequently Asked Questions
Do we have to go to the cloud?+
No. On-prem deployment on industrial PC or your own server is our standard for production-critical cases.
How much training data do we need?+
For Predictive Maintenance, often 2–3 months of historical data. We also help with building a data pipeline.
Is this GDPR-compliant?+
For on-prem, yes. Cloud depends on the provider; we use EU-based LLMs and encrypted data paths.
Can SPS (PLC) safety suffer?+
No. AI never runs in the safety-critical path. It makes suggestions — the SPS (PLC) decides.
Fabian rewired our entire workshop. Clean work, honest communication, kept the deadline. That's rare nowadays.
5 minutes for your quote. And then?
The generator below immediately gives you a price range and a PDF. If it fits, we'll call you back personally.