Your knowledge lives in heads and folders. That is exactly where AI starts.
Manufacturing, mechanical engineering, suppliers: companies where production must not stop while everything around it changes.Quotes, orders, quality, maintenance, warehouse: in most manufacturing companies that hangs on Excel, on printouts and on people who have had it in their heads for years. That holds, until someone is out, an order gets bigger or a customer wants to see data.
We bring AI to where it takes work off in the factory: to the line, into the office, into the warehouse, into the server room. Step by step, without downtime, with your people.
Six spots we find again in almost every company between fifty and five hundred people.
What we make of itA costing assistant that builds a proposal from drawing, bill of materials and old quotes; your estimator checks instead of searching.
01
Every costing starts from scratch, every order is retyped. The knowledge about similar orders sits in folders and heads.
What we make of itCameras on the line that check scratches, dimensions and completeness; the inspector decides the edge cases.
02
Visual inspection by sampling, scrap only shows up at the customer, and nobody knows which batch it was.
What we make of itA maintenance assistant that knows manuals, fault reports and colleagues' notes, and answers at the machine.
03
When the plant is down, one person knows why. If they are on holiday, it stays down longer. The knowledge is there, just not retrievable.
What we make of itStock that is right, order picking with robots where it pays off, and dispatch that knows what goes out today.
04
The stock in the system and the stock on the shelf are two different numbers. Searching is done on foot, what gets shipped is whatever can be found.
What we make of itMachine, energy and quality data in one place, with analyses the shift leader understands, and warnings before scrap occurs.
05
The control systems record everything, the electricity meter too. Analysis happens when something went wrong.
What we make of itA foundation that holds: interfaces instead of night runs, secure access, operations with responsibility, at your place or ours.
06
The ERP from back then, the server in the basement, a service provider who only reacts anymore. Every innovation fails at the foundation.
Seven stations, seven services, and at each one something different is at work.
Station 1 · Goods in
Delivery note, order and goods are matched before anyone types. Deviations land as a task, not as a surprise in production.
Agentic AIStation 2 · Production
Control and energy data consolidated and analysed so that the shift leader sees where scrap and downtime arise, before they arise.
Data & AIStation 3 · Quality
Scratches, dimensions, completeness, in the cycle of the line, with a log per part. The inspector only decides the edge cases anymore.
Computer VisionStation 4 · Maintenance
An assistant that knows manuals, fault reports and colleagues' notes and answers at the machine. Downtime gets shorter, holidays become possible.
Agentic AIStation 5 · Warehouse
Bin picking, order picking, palletising, where walks are long and parts vary. And stock that is right.
Physical AI & RoboticsStation 6 · Office
The costing assistant builds proposals from old orders, the order agent creates orders in the ERP. People check instead of searching.
Agentic AIStation 7 · Server room
Replace legacy systems module by module, interfaces instead of night runs, secure access, operations with responsibility, at your place or ours.
IT Modernization Managed ServicesSix services that most often make the first step in manufacturing companies. Every page shows how we proceed and what you hold in your hands at the end.
01Order creation from the email.
An agent reads orders and call-offs, creates them in the ERP and presents only exceptions.
Agentic AI
02Visual inspection on the line.
Cameras that check scratches, dimensions and completeness, with the inspector as the final authority.
Computer Vision
03Machine data that says something.
Control and quality data consolidated, analysed and turned into a warning before scrap occurs.
Data & AI
04Robots that cope with disorder.
Bin picking, order picking, palletising, where fixed programs fail.
Physical AI & Robotics
05Relieve the ERP environment.
Interfaces instead of night runs, modules instead of big bang, so that agents and analyses find something to work with.
IT Modernization
06Operations with responsibility.
Applications, infrastructure and AI systems monitored, maintained and with a contact who knows the system, at night too.
Managed Services
Tell us about the spot where it gets stuck in your operation: quote, line, warehouse or maintenance. In the first conversation we tell you what AI takes over there and what it does not.
No. We start at the spots that run beside the machine: quote, order, maintenance, analysis. Connecting to control systems is read-only and agreed with your maintenance, never in the middle of a shift.
Usually yes. Many control systems deliver data via interfaces, files or simple sensors. Where nothing works at all, we start with what people record anyway, and bring the machine in later.
Involve them early. Assistants that provide knowledge are something different from systems that measure performance. We disclose which data flows where, and build so that nobody is monitored without knowing it.
Yes, if you want them to. Models can run on your infrastructure or in a European cloud; design data then does not leave the company. That is a decision in the first step, not an addendum.
Especially there. A costing assistant or an order agent is a manageable project with clear benefit for the two or three people who search and retype today. We start with one process, and calculate honestly whether the next one pays off.