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ClariLayer

AI context layer for analysts

ClariLayer provides a durable context layer for data, metrics, and analysis, ensuring consistent recall across various tools and sessions. Key features include: * Cross-session and cross-tool context persistence * Reconciliation of data definitions against source systems * Identification of data definition discrepancies * Secure personal MCP data boundary * Integration with existing data assets (SQL, dbt, notes, semantic models) This platform eliminates the need to re-explain data, metrics, and analysis to various processing tools. It establishes a trustworthy link between your data agents and your underlying data sources, ensuring that all definitions are verified rather than simply asserted. Mismatches are highlighted as caveats, helping users and their agents understand data reliability. ClariLayer operates by allowing your data agent to use its own source access, providing evidence for reconciliation. The platform then verifies this evidence against your original source without directly accessing warehouse or CRM credentials, running SQL, or calling APIs. This unique approach ensures data integrity and security while providing a comprehensive context history. Designed for data professionals, analysts, and engineering teams, ClariLayer is ideal for those seeking to enhance data consistency and accuracy across their data analysis and reporting workflows. It's particularly useful for managing data definitions from sources like data warehouses and CRMs, reducing concept drift and improving the reliability of data-driven insights.
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