As the semantic layer emerges as the new foundation of modern data architectures, Suadeo’s approach stands out for its ability to make enterprise AI more reliable when working with corporate data. Directly integrated into the data platform’s core engine, this new semantic layer ensures a single definition of data and secures its use by both users and integrated AI agents.
The rise of generative artificial intelligence in the enterprise has opened a new chapter in data exploitation. Yet while users can now query their data using natural language, AI models still regularly produce incorrect but credible answers because they lack an understanding of the business meaning of data.
Against this backdrop, the semantic layer is emerging as the new foundation of modern data architectures.
Once seen primarily as a technical component of Business Intelligence, it has now become a strategic layer for ensuring the reliability of enterprise AI use cases.
One single business definition for every use case
With Suadeo Self Data Services®, the semantic layer is integrated directly into the core of the governance engine. AI assistants therefore no longer rely on a free-form interpretation of data, but on an enterprise-governed model in which the meaning of data is defined once, upstream, for all applications.
Business definitions are then automatically reused across the enterprise: dashboards, analytics, APIs, business applications and AI assistants. Unlike approaches where each AI assistant builds its own understanding of the data, Suadeo Self Data Services® relies on a single business reference model shared across the entire platform.
From Text-to-SQL to Text-to-Semantic Layer
With this new semantic layer, Suadeo moves from “text-to-SQL” to “text-to-semantic layer”, a significant innovation compared with current market approaches. AI-generated answers are aligned with the business meaning of the data rather than its technical structure alone.
In practical terms, the AI no longer writes the queries itself: it selects elements from the semantic model, while Suadeo’s governance engine automatically generates and executes the query. For every user request, it automatically applies business definitions, calculation rules, joins, analytical contexts, security policies, sensitive-data masking and access rights according to the user’s profile. The resulting answers therefore remain consistent, secure and compliant with the organization’s governance rules, regardless of the entry point used.
A platform that brings together what the market keeps fragmented
Where most data platforms combine several specialized solutions, Suadeo takes a different approach with a single engine that natively brings together the entire data lifecycle: connectors, virtualization layer, ETL, sovereign lakehouse, semantic layer, data model, a data catalog compliant with the European DCAT standard, governance, data quality, security, dashboards, reporting, GIS, APIs, and an integrated studio for building data-driven business applications.
Each of these software components is equipped with a dedicated AI agent to assist users and is connected to an administration and audit console integrated into the platform. This native, cross-functional architecture eliminates silos, technology stacks and dependencies, while also ensuring that all services rely on the same business reference model.
This approach positions Suadeo Self Data Services® among the most comprehensive semantic layers on the market, with two major differentiators: cross-platform integration bringing the entire data chain together within a single engine, and sovereign artificial intelligence directly integrated into the governance engine.
For years, organizations focused on storing and visualizing their data. With the rise of artificial intelligence, the challenge has fundamentally changed. It is no longer enough to govern data; organizations must also govern its interpretation. As long as there is no single business definition, each AI assistant builds its own understanding of the data. Suadeo Self Data Services® ensures, instead, that every use case relies on the same business definition.
Mohamed Bendjebbour, Head of Research & Development, Suadeo
A new step in Suadeo’s AI strategy
With this new semantic layer, Suadeo continues to develop its Suadeo Self Data Services® platform to provide organizations with a unified environment capable of governing, exploiting and unlocking the value of their data within a sovereign framework.
The semantic layer now forms the foundation of the platform’s artificial intelligence capabilities, paving the way for new use cases, from conversational analytics to business-specific AI agents.
