Dawiso AI Context Layer
Connect AI agents to governed metadata via MCP
Dawiso AI Context Layer launched on January 13, 2026 with 82 votes, #424 of 14,585 launches that month and more than 95% of that year's launches.
What it does
AI fails in enterprises not because of models, but because it lacks context. Dawiso’s AI Context Layer turns data catalogs into the semantic backbone for AI. Defining meaning, ownership, access, and relationships. Connected to AI agents via MCP, it enables AI to answer the right question, for the right user, with the right data. This context is generated automatically through metadata scanning and AI enrichment, with human-in-the-loop governance ensuring it stays relevant, and trustworthy.
Automatically connect business knowledge to AI and create an AI-ready context. Built on governed and trusted metadata, so AI agents use your definitions.
Your AI agents query data but don't understand it. Dawiso connects your data catalogs, business glossary, and lineage into a single governed context, accessible to any AI agent through MCP. Most teams deploy in days. According to Gartner, 30% of GenAI projects will be abandoned after proof of concept by end of 2025. The most common reason? Lack of governed business context. LLMs invent facts when they lack business documentation. Without governed context, your AI agents are guessing, and your team is left debugging. Business definitions live in wikis, spreadsheets, and people's heads. When AI asks "what does revenue mean?", there is no single source of truth. AI agents accessing sensitive…from dawiso.com
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