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AGENTIC CONTEXT & QUALITY LAYER

Metagem — the enterprise context layer for agentic AI and BI. Context matters.
We help you shape it.

AI only pays off when it runs on quality context. Metagem offers agentic workflows that fix data quality, build business context and support governance.

Deliver a winning AI use case with unrivaled quality and trust.

Governed business context from any sourceData Quality fixes that make a dentSyncs meaning acrossMicrosoftSAPDatabricksOpenAIAnthropic
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Insight detectedmetagem.ai

30 open deals chased on products currently out of stock.

SAP×Salesforce· out of sync

Why enterprise data landscapes are not ready for AI agents

"Trusted data first, then we start AI." Why wait?

ONE QUESTION, MANY INTERPRETATIONS

“How many active customersDefinition ? do we have?”

  • ERP · SAP ECC

    ever ordered (12,480)

  • CRM · Dynamics

    contacted this year (9,213)

  • BI · Power BI

    invoiced this year (7,940)

  • Ops · Excel

    finance's list (6,102)

  • 01

    Years of acquisitions. Fragmented data. Endless contradictions.

  • 02

    Months of workshops, and the result is obsolete before anyone uses it.

  • 03

    Analytics and AI are dead on arrival until fixed.

No silver bullet? Think again.

Patrick van Kalken, Chief Data Officer
Patrick van Kalken
Chief Data Officer
“Manually, this would be a multi-year programme with nothing to show for the first year. With Metagem we start with the handful of conflicts that cost the business, and land them in weeks.”
€7.5B MANUFACTURING GROUP
Nutreco
01

Build context from any source

Metagem reads your systems, data and documents and turns them into context: your business definitions and rules, connected into one graph. Read-only. No data leaves your premises.

SAP
Salesforce
SharePoint
Confluence
Microsoft Fabric
Tableau
+ any system
02

Years of data quality & governance work.

What your data and knowledge means, where to find it and what part is trusted: A live, automatically stitched map of every data field, document, business vocab and constraints.

SAPSharePointRevenue PolicyGL AccountCustomerNet RevenueGross Margin
03

Get the fixes that matter, ranked for you

Agents search your whole data landscape for conflicts and quality issues, then hand them to you ranked by business impact. No more needle in a haystack. Show the business results, fast.

Discover how our data quality audit ties to ROI
Priority
Quality issues in critical reports
12 datasets feeding board KPIs
High
Revenue definition drift
Finance vs. Sales mismatch
Medium
Conflicting KPI lineage
Duplicate definitions across domains
Low
04

Sync your context to every tool and agent

Your business context is yours: owned by you, open and interoperable. Sync it to any tool or agent you already use. Analytics and AI that people actually trust.

How context engineering grounds agents and BI
metagem
Microsoft Copilot
OpenAI
Anthropic
Custom Agents
Microsoft Purview
SAP
Systems of Record
Tableau
Power BI
BI tools & semantic layers
SharePoint
Confluence
Knowledge bases

Basta. Stop piloting AI on data nobody trusts.

For data teams at manufacturers and industrial groups

Small data team, outsized impact

01

Done for you

Agents read your systems and documents and build the context themselves. You validate, you don't curate.

02

Focus your effort

Conflicts and quality fixes arrive ranked by business impact. Work on what moves the needle first.

03

Business-friendly

Plain-language definitions and rules that the business can read, challenge and own with you.

04

Any ecosystem, open and portable

One context layer that pulls from and pushes to every system you run, and serves your tools, teams and agents.