This page is for everyone who plans maintenance — maintenance management, maintenance planning, plant management. The technology behind it is under Process AI, the way in under Free data check.
Your day
- Maintenance by the calendar
- The intervals are fixed, wear is not. Parts are replaced too early one time, too late the next.
- The stoppage plans with you
- An unplanned failure throws every plan out — staff, spare parts and restart included.
- The alarm comes too late
- Fixed limits react when a value breaks them. By then there is no time left to plan.
- Knowledge in a few heads
- How a problem builds up on which machine is known to one or two people — not to the plan.

What SAIP gives your planning
- Time: The slow drift is named while values are still in the green range — not only when the fixed limit breaks.
- A finding instead of a light: Sensor, reading, expected value and direction — the basis for a work order.
- The decision stays with you: Whether and when to intervene is decided by your people. SAIP provides the trail, not the date.
- What stays: From findings you confirm, Henri builds knowledge of your plant locally — offline, in your own network.
Process AI
SAIP with Process AI — on-site at your controller.
- Read-only connection to your controller — no controller swap, no change to machine logic
- Explained alarms: sensor, reading, expected value and direction
- Runs on your hardware, air-gap capable, no cloud
- Way in: free data check, then a fixed-price pilot
What can be shown today
What we do not promise
We do not predict which component will fail when, and we quote no remaining useful life. What SAIP does: name the deviation early so your planning has time. How much lead time that gives on your equipment is measured in the pilot — on your data.
How to start
With the free data check for the line that causes most of your unplanned stoppages. Then a fixed-price pilot — measured in your hours of downtime.