NeuraTech
STARTING POINT
The reality in many manufacturing operations.
Unplanned downtime costs money
A machine goes down – and the whole line with it. Order spare parts, call technicians, reschedule delivery dates.
Quality inspection is manual and slow
Spot checks aren't enough. But visually inspecting every part is simply impossible at high throughput.
Production data sits unused
Sensors deliver data – but nobody analyzes it systematically. Trends and patterns remain invisible.
WHAT WE DO FOR YOU
Concrete solutions for your production.
AI and IT services specifically tailored to the requirements of manufacturing companies.
Predictive Maintenance
Machine data is continuously analyzed. We detect deviations before the failure happens – so you can plan maintenance instead of managing emergencies.
Quality Control with Computer Vision
AI-powered image recognition inspects every part in milliseconds. Defects and anomalies are detected with precision that surpasses the human eye.
Intelligent Use of Production Data
We connect your sensor data with machine learning: forecast demand, identify bottlenecks, and deploy resources more effectively.
Reliable IT for Manufacturing
Your IT infrastructure runs reliably – even in shift operations. Monitoring, updates, and support to keep production running.
HOW WE START
Three steps to your solution.
1
Initial Consultation
You describe your production workflows and biggest bottlenecks. We give an honest assessment of where AI or IT optimization makes sense.
2
Analysis & Prototype
We evaluate your data sources and system landscape. With clear potential, we build a working prototype with your production data.
3
Productive Operations
Integration into your existing manufacturing environment, training your team, and ongoing support on request.
FAQ
Frequently Asked Questions
General
Which manufacturing companies is this suitable for?+
For companies with recurring production processes – from series production to process industry. The typical prerequisite is that machine or production data is digitally available.
What data do we need for predictive maintenance?+
Typically sensor data such as temperature, vibration, or RPM. In the analysis, we check which data is already available and what may need to be retrofitted.
How accurate is automated quality control?+
In our experience, computer vision detects defects with precision that typically surpasses human inspection – at significantly higher throughput. The exact accuracy depends on the use case and is validated in the prototype.
How much does such a solution cost?+
It depends on the scope. We discuss costs in the initial consultation so we can make an offer that fits your needs.
NEXT STEP
Where is your biggest optimization potential?
In a no-obligation conversation, we'll show you where AI and IT can relieve your production the most.
Learn more about our AI services AI Services→
Reliable IT services for your operations IT Services→
