DATA READY FOR AI
Your AI deserves a trusted foundation.
The quality of your AI's answers depends on the data it queries. EMASPHERE structures, contextualises and historises that data to produce more reliable, traceable and defensible analyses.
Your AI cannot understand what your data does not explain.
An AI connected to raw ERP data doesn't know your consolidation rules. It can't distinguish a budget from a reforecast, and it doesn't handle intercompany transactions. It delivers confident answers on a fragile foundation.
Changing the AI doesn't solve this problem. Changing the data it consumes does.
Data that is ready for AI must be understood, not just cleaned.
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Complete
250+ connected and synchronized sources (ERP, CRM, HR, banks). The AI works on an exhaustive picture of your business, not a partial scope.
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Structured in a native finance model
Entities, accounts, periods, currencies, and analytical dimensions are native concepts in the model. The AI understands your organization, not just rows of numbers.
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Contextualized with business logic
It's not "line 4120 of the general ledger." It's "personnel costs for the commercial department, France entity, fiscal year 2025, compared to the budget validated in January." The semantic layer translates your raw data into language your AI can reason with unambiguously.
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Validated and traceable
Every figure analyzed is anchored to a verifiable source. Every AI response is traceable back to the source entry.
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Historized
The AI can reason across time: compare fiscal years, detect budget drift, produce a forecast grounded in real historical data. EMASPHERE natively historizes data. Every close is locked and reproducible at exact date.
Three limits weaken the answers AI gives.
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Incomplete data
An AI cannot include information that is outside its scope. Its answers then risk resting on a partial view of the company.
The EMASPHERE answer: more than 250 connectors to bring together the data from your different systems.
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Ambiguous context
The same indicator can cover several definitions depending on the entity, the period or the accounting rules applied.
The EMASPHERE answer: a semantic layer that encodes your definitions and your business logic into the model.
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Unvalidated data
AI does not spontaneously tell reliable data apart from an incorrect formula or an outdated file.
The EMASPHERE answer: data that is structured, governed and traceable before it is made available.
Connect your AI to the model, not to raw data.
EMASPHERE is the first enterprise finance platform to natively integrate the Model Context Protocol (MCP). Your AI (Anthropic's Claude, OpenAI, or your own) queries your validated model directly, without your data ever leaving it.
- Your data stays in your sovereign environment, hosted in Europe.
- Every AI response is traceable back to the source in your model.
- The AI works on the same version of truth as your finance team.
Before and after a foundation ready for AI
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Without a semantic foundation
Your AI connected to raw ERP data answers quickly, without consolidation, without currency management, without alignment to the close. The answers are not defensible.
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With EMASPHERE
Your AI queries the EMASPHERE model via MCP. It understands your chart of accounts, your consolidation rules, your analytical dimensions. Every answer is traceable back to the source entry.
Better answers start with better data.
EMASPHERE gives your AI a structured, contextualised and governed foundation to turn your data into reliable analyses.
Trustworthy data · Native sovereign MCP · No Data team required