The data cannot be reached. That is the actual problem.
The data foundation is the layer that makes enterprise systems reachable for AI. Pexon extracts, cleans, masks and indexes data from SAP, MES, PLM, SharePoint and legacy databases, then carries your real permission model through end to end so the resulting system can pass a security review.
Reachability first, model second.
A prompt cannot reach into a thirty-year-old schema. It takes engineers who read your data model, understand which fields are authoritative, and can express your entitlements in the retrieval layer.
Source systems we start from
- Legacy Code Modernisation — Document the Rules FirstBusiness rules extracted from legacy code and mainframe systems, documented and covered by generated tests, so modernisation becomes possible.
- MES Production Data for AI — Root Cause in HoursHistorised machine and batch context joined to quality results, so recurring faults become visible and root-cause analysis stops taking weeks.
- SAP Data Layer for AI — One Answer, Traceable to the RowA governed semantic layer over SAP master and transactional data, with metric definitions fixed at source so orders, margins and stock have one answer.
Common questions
Do you need write access to our production systems?
No. We connect read-only by default and work against replicas or extracts wherever your operations team prefers. Write paths are added later, deliberately, and only where a use case requires them.
What happens to personal data?
PII is masked in the pipeline before anything is indexed, and the masking rules are part of the build rather than an afterthought. Audit logging is on from the first sprint.
Not a sales call. An architecture call.
Thirty minutes with the architect who would actually run the engagement.