Metagem — the enterprise context layer for agentic AI and BI. AI needs one business truth.
You have five.
Surface the conflicts that are costing you time and money.
Trusted context — the missing part to AI & Analytics that delivers.
30 open deals chased on products currently out of stock.
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· out of syncWhy enterprise data landscapes are not ready for AI agents
Most industrials get four answers to the same question.
“How many active customers do we have?”
- ERP · SAP ECC12,480
any account with an order, ever
- CRM · Dynamics9,213
contacted in the last 12 months
- BI · Power BI7,940
invoiced this fiscal year
- Ops · Excel6,102
the list finance actually uses
- 01
Many acquisitions. Chaotic data and docs. No shared language.
- 02
Analytics and agents are a no go until this is fixed.
- 03
Fixing it manually takes too long and too much.
No silver bullet? Think again.
“We have a lot of complexity and it would take us years of work to get data governance and quality on par manually. Metagem's platform helps us prioritize the work that matters, execute it quickly and tie it to outcomes that get the attention of the business.”
In deployment.
Plug data, systems & knowledge
Plug into your systems, data and institutional knowledge: Sharepoint, Confluence, Salesforce, Databricks, Fabric, Tableau, and the rest of your stack. Read-only, no data leaving your premises.
Build a map of what your data means and how it relates
Years of data quality & governance work delivered in the first months: a live, automatically stitched map of every data field, document, asset and business term.
Spot and fix quality gaps
Agents that dig in and show you the data quality gaps, and how they impact business. Prioritized against what really drives €€€.
Discover how our data quality audit ties to ROITrusted Context available anywhere
Your team remediates the priorities to enrich the graph. Our engine makes it available for any downstream AI, BI or other initiative.
How context engineering grounds agents and BI
Basta. Time to go beyond co-pilots to drive real value.
For data teams at manufacturers and industrial groups
Small team, drowning in messy data
A business case for trusted data
Metagem's agents surface where your data systems and your business disagree, estimate the impact, and work with you on a fix.
Populated from day one
It reads your documents and systems and builds the map itself. Your team validates the critical 20% instead of curating a catalog by hand.
One layer across every system
SAP, Microsoft and the legacy systems each acquisition brought with it. Validated context syncs to the tools you already use: Purview, Fabric, your BI and AI pipelines.
Sovereign-by-design. Data stays where it is
Metagem reads structure and meaning, never the data itself. Everything runs inside your own environment.
Use casesWhere data teams put context to work
Pick the problem you're solving first.
The PlatformWhere insights land. Where you stay in control.
The platform is the workbench for your data team and power users. Metagem surfaces the findings, you remediate, then sync the context to catalogs, BI tools, and Copilots.
See it in a 20-min walkthroughProduction Cost
Active Customer
Overall Equipment Effectiveness
Where it fits
One context layer, every system and agent
Systems feed the engine. The engine builds the context layer.
The context layer powers what your business runs on.
Context Glossary
Data Quality Findings
Contextual genAI/BI chat
Agentic Automation
03 · Propagate
To every consumer that needs it
Enterprise Context Graph
02 · Build and validate
Scored by AI, approved by experts
Systems of Record
Systems of Data
Systems of Knowledge
01 · Extract
Context from your existing sources