Inspection that knows where the part came from.

Vision AI inspects the real part, on the cameras you already have. Every finding carries machine, order and time — and becomes comparable across shifts, batches and variants instead of ending as an isolated image file.

Existing camerasFindings with contextJudgement stays with the operator

Einordnung

This page is for quality management and inspection — for everyone who has to explain a defect, not only find it. The application behind it is described under Vision AI.

Your day

A defect without a cause: Inspection says what is wrong. Not why it happened.
Images without context: A camera finding exists as a file. Machine, order and process state sit in other systems.
Rework and sorting: A quality problem found late costs many times more than one found early.
Evidence instead of guesses: For root-cause analysis and the answer to your customer, what counts is what can be shown.

SAIP in production: list of signals that left their normal range first before an event, with time, direction and deviation, customer-internal details redacted. — From production: which signals left their normal range first before an event — with time, direction and size of the deviation. Earlier deviations are cause candidates, not proof. Customer-internal details redacted.

What SAIP shows you

Inspection with context: Every finding carries machine, order and time — instead of an isolated image file someone has to follow up by hand.
History instead of a snapshot: Defect patterns become comparable across shifts, batches and product variants.
Learning assessment: Confirmed and rejected findings improve the inspection profile — documented. The final judgement stays with the operator.

The offer for this

Vision AI

SAIP with Vision AI — inspection on your existing cameras.

Inspection on the cameras already on the line
Every finding with machine, order and time
Runs on your hardware, no cloud
Way in: free data check, then a fixed-price pilot

Free data check Vision AI in detail →

What can be shown today

InspectionExisting — on the real part, on existing cameras

FindingExisting — with machine, order and time

Signals before an eventExisting — which signals left their normal range first

OperationExisting — on-site, no cloud

Designed for

Image finding linked to process dataDesigned for — built during the pilot on your line. A relationship is shown as a hypothesis, never as a proven cause.

What we do not promise

We quote no detection rate before we have seen your parts and your cameras. And we claim no cause: what SAIP finds is an evidenced trail for your experts to judge.

How to start

With a pilot on an inspection step that costs you rework or sorting today. Fixed price, four phases — measured in scrap rate, rework and sorting effort.

How the pilot works →

Start with the data your plant already produces.

Describe your line and the problem — within 48 hours you get a rough concept plan as the basis for a concrete offer.