Who SAIP™ is built for.
For the people who get called when a line stops, quality slips or a machine has to go live.
Your machines already generate the data.
The problem is understanding it.
The data exists. The intelligence layer is missing.
An alarm without context
It says something is wrong. Not why.
A defect without a cause
Inspection finds the defect. Then a person searches for the trigger.
Thousands of signals, one problem
Today the relevant signals are found by hand.
Data in separate systems
Controller, camera and MES all record — each on its own.
Every one of these costs paid working time.
We do not know what this is worth to you. You do.
We name no figure before your data. The pilot measures downtime, scrap, troubleshooting and rework on your equipment.
A colleague who reads along, explains and keeps learning.
Not another dashboard to watch — it speaks up when something changes.
- 01
Reads along
Process, machine and camera data straight at the controller — no controller swap.
- 02
Detects and explains
The slow drift, with sensor, reading, expected value and direction.
- 03
Gets to know your plant
From your data, Henri builds knowledge of your plant locally — offline.
The detection behind it is not a simulation: it runs today in a real production plant — on-site, air-gap capable, no cloud.
- Works with your existing controllers
- Useful from week one — no data-collection project
- Runs on your hardware, air-gap capable
Understand in five minutes what Process AI does on your shop floor.
What actually goes wrong in a production hall — and how raw signals become explained alarms. English version with sound, 5:22 min.
Not an AI module bolted onto existing software. An infrastructure that runs inside the plant.
The difference is not the model, but where the intelligence sits.
- DetectionFixed limits.
- ResultAn alarm.
- CauseSearching through trend charts.
- KnowledgeRules someone entered.
- DependencyCloud and external interfaces.
- DetectionDeviation from the learned normal behaviour of the connected signals.
- ResultSensor, reading, expected value, direction.
- CauseA hypothesis with a trail back to the raw signal.
- KnowledgeGrows locally from what you confirm.
- DependencyRuns entirely on your hardware.
Three focus areas. One platform. One controlled way in.
You choose where to start — you always operate the same platform.
Maintenance planning with AI
The slow drift named early — so your planning has time.
In detail →02Maintenance
Explained alarms: sensor, reading, expected value and direction.
In detail →03Quality management
Inspection on your cameras — every finding with machine, order and time.
In detail →Retrofit + Industrial AI
Modernise the controller and make it readable in the same project.
In detail →05Machine builders
PLC, robotics, commissioning — and explained alarms on the same controller.
In detail →06Production & line
See at which station it started.
In detail →- No PLC replacement
- No machine modification
- Safety untouched
Every application starts as a bounded pilot — then you decide whether anything follows.
The controller from the same team.
PLC, robotics and commissioning on Siemens, Beckhoff, KUKA and FANUC — and if the line is being modernised anyway, Process AI comes along in the same project.
There is no mechanism by which we could see your operation.
The system runs on a separated network — as the normal case, not a special clearance.
Licensed once, usable indefinitely.
Start with the data your plant already produces.
Free data check: describe your line and the problem — within 48 hours you get a rough concept plan as the basis for a concrete offer.