Governed context for people and AI.

Your AI needs a source of truth. We give it one.

We map what your data means, who owns it, and whether you can trust it, so both people and AI pull from the same source of truth.

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AI/BI GenieGeminiChatGPTCopilotClaude
dScribe
Claude Opus 4.1

Already working this way

imec
EVS
Fiberklaar
North Sea Port
De Watergroep
Agristo
Port of Antwerp-Bruges
Denys
liantis
Caldic Europe
Aquafin
cordeel

The platform

The same source of truth, for your team and your AI.

The problem

Knowledge about your data lives in people's heads.

When definitions, owners and quality rules aren't written down, teams rely on whoever remembers. That works until they are not available, or their answer conflicts with someone else's.

Friction
Yours
What does headcount mean?
A business analyst, Tuesday morning
Conflict
Ours
Finance says Headcount means this. HR says something else.
Every monthly review
Consequence
The board's
The board made a decision on a headcount number nobody could verify.
Governance risk

Your data knowledge shouldn't depend on one person.

dScribe captures the context your experts carry, like definitions, ownership, policies and quality signals, so it is available to everyone, and to the AI tools you use.

Lets grab a coffee ☕
In their own words

Said by the people who gave their AI context.

Port of Antwerp-Bruges at dusk
"This integration simplifies the process of asking complex questions regarding port operations, saving analysts several hours or even days of work."
Inge Lemmens, Data Governance Lead, Port of Antwerp-Bruges
Business definitions documented
0
"The creation of definitions for business terms, along with their interrelationships in dScribe, is vital to the success of our 'Chat with your data' AI copilot, allowing us to deliver highly accurate, actionable insights to our business partners."
Inge Lemmens, Data Governance Lead at Port of Antwerp-Bruges

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Common questions from data and governance teams.

AI needs governed context around the data it uses: approved definitions, ownership, policies and relevant quality signals. dScribe provides that context without requiring you to re-architect the stack first.

dScribe reads metadata such as table names, definitions, ownership and quality rules. The underlying business data stays in Power BI, Snowflake, SAP and the other systems where it already lives.

Purview catalogues data at the platform level. dScribe connects governed business context to the places questions are asked, including search, supported BI extensions and AI assistants. The two can work alongside each other.

dScribe crawls metadata from connected source systems and suggests relationships, links and duplicates for review. Your team focuses on approving business meaning, ownership and policies instead of rebuilding a technical inventory manually.

dScribe connects across Power BI, Tableau, Fabric, Databricks, Snowflake, SAP BW/4HANA, SAP S/4HANA and Dynamics 365. The BI extension is one surface; search and AI integrations use the same governed context too.