Data and semantic AI

Your SAP data. Clear answers. Controlled access.

Ask questions about finance, sales and operations in plain language. Get answers grounded in your business definitions, linked to SAP data and limited to what you’re allowed to see.

Your business context matters

SAP tables alone don’t explain what a business measure means. Answers need your definitions, relationships and rules, alongside the permissions that control who can see each record.

Answers you can trace

A semantic engine connects SAP data with company context. It refines the question, checks access and links the answer to its source, so users can inspect the data behind it.

Inside your infrastructure

The system runs on customer infrastructure, with air-gapped inference available. Teams access it through chat, an API or MCP. Delivery included Build–Operate–Transfer of the system and team.

Operational outcome

SAP information accessible to business users, with answers traceable to the source data.

In production at five companies.

Industry: data centre operations. Client details and metrics are shared after an NDA, to protect our clients’ interests.

How it works

From a business question to its source, in three steps.

01
SAP data
Finance, sales and operations data.
02
Business context & access
Company definitions, query refinement and role-level permissions.
03
A traceable answer
Business users ask in plain language; answers link back to the data.