AUTOMOTIVE.

The cycle comes from the customer. The data stays with you.

Suppliers, series manufacturers, system suppliers: companies whose day is set by the OEM's call-off.

You deliver in cycle. And recalculate by hand.

Call-offs arrive by EDI or email, change daily and still have to reach the line in exact sequence. In between lie capacity, tools, inspection plans and documents that every customer wants differently. Much of it lives in spreadsheets and in the heads of the people who have known the customer for years.

We bring AI to where suppliers lose time today: to call-off and planning, to inspection, to traceability and to the loading dock, without the cycle suffering.

Where it gets stuck for suppliers.

Six spots between call-off and loading dock that we keep finding at series manufacturers.

What we make of itAn agent reads call-offs from EDI and email, matches them against stock and capacity and reports only the deviation.

01

Call-offs that change daily.

The OEM sends forecast and detailed call-off, both are moved into planning by hand. If something changes, production is the last to know.

What we make of itCameras inspect every part in cycle, with a log per part and batch. The inspector decides the edge cases.

02

Inspection by sampling.

Visual inspection at the end of the line, measurement logs on paper. A defect at the customer costs more than the part, and nobody knows which batch it was.

What we make of itBatch, machine, inspection and delivery in one place: a complaint is answered in minutes, not days.

03

Traceability on demand.

When a complaint comes in, the search begins: delivery note, shift log, inspection record. What belongs together sits in three systems and two folders.

What we make of itMachine and tool data evaluated: changeover and maintenance before scrap begins, not after.

04

Tools and maintenance by feel.

Tool life lives in the setter's head. Changes happen when it jams, or too early, because nobody has the numbers.

What we make of itLabels and documents are generated from the order, in the customer's format, checked before the truck arrives.

05

The loading dock as bottleneck.

Labels, load carriers, delivery notes in customer format, all by hand, every day, different for every customer. One mistake, and the truck waits.

What we make of itEvidence that arises from running operations, inspections, batches, training, and is available at the push of a button.

06

Audits that cost weeks.

Customer audit, certification, supplier assessment: every time the same evidence is gathered from the same folders.

What we build for suppliers.

Six services that most often make the first step in series manufacturing. Every page shows how we proceed and what you hold in your hands at the end.

01

Call-offs that schedule themselves.

An agent reads EDI and email, matches against stock and capacity and reports only deviations.

Agentic AI
02

Inspection in cycle.

Cameras inspect every part, with a log per batch; the inspector decides the edge cases.

Computer Vision
03

Traceability from operations.

Batch, machine, tool and delivery linked; complaints answered in minutes.

Data & AI
04

Handling that copes with variants.

Bin picking, palletising, repacking, even with changing parts and containers.

Physical AI & Robotics
05

Security the OEM demands.

Access, evidence and response plan the way customer audits require them, without paralysing operations.

Cybersecurity
06

Operations with responsibility.

Applications, interfaces and AI systems monitored and maintained, in three-shift operation too.

Managed Services

One call-off, three stages.

From the customer's call-off to the loading dock: three stages, and at each it says what AI takes over there.

01

What AI takes overRead the call-off, match against stock and capacity, report the deviation, before planning goes looking for it.

Call-off.

Forecast and detailed call-off arrive by EDI or email. The agent reads them, matches them and presents only the deviation: too little stock, too little capacity, changed date.

02

What AI takes overEvery part inspected and linked to batch, machine and tool; traceability arises on the side.

Cycle.

Production runs as before. Cameras inspect in cycle, machine data runs alongside, and every part carries its history: batch, machine, tool, inspection.

03

What AI takes overLabels and delivery notes in customer format, in exact sequence, checked; the truck leaves on time.

Loading dock.

Labels, load carriers and documents are generated from the order in the format of the respective customer. What does not fit shows up before loading, not at the customer.

Which call-off makes the most work for you?

Tell us where time is lost between call-off and loading dock. In the first conversation we tell you what AI takes over there, and what it does not.

FAQ.

Our OEM prescribes systems and formats. Does that fit together?

Yes. We build around your customer formats; EDI, labels, documents stay the way the customer wants them. AI works behind them, not instead of them.

The cycle must not suffer. How do you make sure of that?

We start beside the line: call-off, planning, documents. On the line, cameras inspect in read-only mode, without intervening in the control system. Conversions happen in downtime windows you define.

What about customer audits and evidence obligations?

That is exactly where it pays off: inspection records, batches and training arise during running operations and are there at the audit, instead of being gathered.

Does our process data stay in-house?

Yes, if you want it to. Models run on your infrastructure or in a European cloud. What the customer may not see does not leave the plant.

We have several plants. Where do we start?

In one plant, with one process, usually the call-off or the inspection. What holds there, the other plants adopt with the same rules and access.