What we build.

Pexon builds AI in six clusters: private AI on hardware you own, Claude rolled out across the enterprise, reaching the data locked in SAP, MES and PLM, a company brain on top of it, governance over what models may see, and inference cost control. Every engagement starts with one source taken end to end into production.

Why this order

The order is deliberate.

Most AI programmes start at the use case and discover the data problem in month four. We start at the data layer, because reachability and permissions are what decide whether anything reaches production at all.

Common questions

Where should we start if we have several candidate use cases?

With the source system that blocks the most people. We take one source end to end rather than sampling four in parallel, because a thread that reaches production teaches you more than four pilots that do not.

Do we have to buy the whole programme?

No. Each cluster begins as a fixed-price two-week blueprint. You can stop after it and keep the architecture plan, whoever ends up building the system.

How to start

Not a sales call. An architecture call.

Thirty minutes with the architect who would actually run the engagement.