Dawiso's AI Context Layer provides AI agents with business definitions, data relationships, and documentation, enabling them to understand what your data means, not just what it contains. It automatically builds catalogs, lineage, and business glossary that make enterprise AI actually work.

The product features include automatic data catalog, unstructured data governance, connectors, business glossary, interactive data lineage, MCP server integration, and AI governance. Key capabilities include AI-generated context with business-ready descriptions, intelligent relationship mapping that automatically discovers data connections, and a proven governance framework for managing knowledge.

The system works through a three-step process: scanning metadata to automatically build catalogs and lineage, auto-generating context with AI enrichment of business descriptions and relationship maps, and connecting AI agents to the governed context via MCP Server connectivity. This approach ensures context is built by automated scanning and AI enrichment, eliminating the need for manual input.

Benefits include getting a usable data catalog and business glossary in a day, feeding AI with business-ready context quickly, and ensuring context stays accurate and trustworthy through human-in-the-loop governance. Use cases include providing AI agents with the business context they need to deliver relevant answers and enabling AI to understand and use data correctly through governed metadata.

The product integrates seamlessly with both off-the-shelf and custom-built AI agents through MCP Server connectivity and connects to more than 40 data platforms. It is designed for enterprises needing to make AI understand their business context.