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AGENTIC CONTEXT & QUALITY LAYER

Get your data trusted & AI-ready,in weeks, not years.

AI fails when it can't find your data, misreads it, or doesn't know your rules.Metagem builds a shared 'brain' of your business logic and meaning, then finds and fixes the gaps that make AI trip.

See how it works

Vendor-neutral AI: Works with your models and platforms

  • Microsoft Copilot
  • OpenAI
  • Databricks
  • Snowflake
  • SAP
  • EU-native

How we build your Enterprise Brain

  1. Scan Find definitions and logic in your documents and data, including those nobody wrote down.
  2. Harmonize Connect competing definitions to the data they describe and propose a shared business ontology.
  3. Validate Check live data against the rules, rank conflicts by business impact, and ask experts to approve the fixes.
  4. Sync Serve the verified ontology to teams and AI agents, while monitoring for drift. Your company owns it.
WHAT CUSTOMERS SAY
“Manually, this would be a multi-year program with nothing to show for the first year. With Metagem we prioritize a handful of quality conflicts that actually matter, and fix those with the business.”
Patrick van KalkenChief Data Officer, Nutreco · €7.5B manufacturing group

Nutreco started with e-invoicing. See how →

Why AI gets it wrong

AI gets your business wrong when domain context is missing or conflicting.

Ask an AI agent a business question and it answers from whatever it finds. When your context doesn't add up, it confidently picks the wrong version:

  • 01Two definitions of the same number. Finance and sales each calculate net revenue differently, and both are "official".
  • 02The same customer, four times. Different IDs and addresses across SAP, CRM and spreadsheets, with no owner.
  • 03Rules nobody wrote down. Conflicting business logic exists in 4 different documents, in colleagues' heads or implicit in the data.

This is preventable. Metagem finds every version of every definition across your data and documents, shows where they conflict and what it costs, and helps the right people choose. AI then works from one trusted answer.

See the business case for e-invoicing
Fieldcustomer_idQuality ruleemail must be uniqueFabricFieldKNA1.KUNNRBusiness rulecredit block above €50kSAPFieldarr_eurQuality ruleno null countrySnowflakeBusiness rulechurn risk > 0.7 = at riskDatabricksDefinitionActive = invoiced in last 12 monthsContextEU customers under GDPRSharePointProcessOnboard → Active → ChurnedDefinitionKey account = ARR > €250kConfluenceCLARITYONE GOVERNED MODELDefinitions · rules · fields · processes · contextDefinitionSAPSalesforceSharePointProcessRuleCONCEPTCustomer4 SOURCES · 1 OWNEROUT OF SYNCDefinitionSAPSalesforceSharePointProcessRuleEXPERT REVIEWCustomerPROPOSAL · 1 OWNERREVIEW FIXSnowflakeSAPFabricOpenAIClaudeCopilotCONTEXT & QUALITY ENGINEYour teamasks it questionsYour sourcesget the fixesAI agentsuse it as context

One enterprise brain: knowledge, business logic, metadata, all connected.

See the platform

Where are you today?

The same trusted model of your business serves several goals. Pick the stage you're in to see what Metagem does there, from cleaning up your data foundation to getting AI live and keeping it accurate.

Next step

Find the conflicting data that's costing your business.

In a 45-minute call we get to know your situation and show you where Metagem helps clean up the mess and get your data ready for AI, faster.

Let's talk