Dawiso's AI Context Layer powers AI agents with enterprise context by turning data catalogs into semantic backbones for artificial intelligence. It defines meaning, ownership, access, and relationships within organizational data, enabling AI to answer questions accurately for the right users with appropriate data. This system addresses the core challenge where AI fails in enterprises due to lack of context rather than model limitations.

The platform automatically scans metadata to build comprehensive data catalogs, interactive data lineage maps, and business glossaries. It provides unified governance for both structured data (tables, warehouses) and unstructured data (PDFs, documents) while offering intelligent relationship mapping that reveals connections across the entire data landscape. The system includes business process modeling capabilities and connects to AI agents through Model Context Protocol (MCP) integration.

Dawiso works through a three-step process: scanning metadata to automatically build catalogs and definitions, using AI to enrich data with business-ready descriptions and relationship maps, and connecting AI agents to governed context via MCP servers. This approach ensures context is generated automatically through metadata scanning and AI enrichment while maintaining human-in-the-loop governance workflows.

The solution enables organizations to achieve trustworthy AI that understands business context, provides accurate and compliant responses, and delivers relevant answers grounded in enterprise knowledge. It helps AI agents query data catalogs to understand what datasets exist, their meanings, relationships, and access controls, making AI interactions contextually accurate.

The platform targets enterprises needing to connect AI systems with governed business knowledge, including data engineers, analysts, business users, and domain experts. It integrates with more than 40 data platforms and connects to both off-the-shelf and custom-built AI agents through MCP server connectivity, supporting team-powered context building across organizations.