Stop AI Hallucinations. Start Getting Trusted Answers with Dawiso Context Layer

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.

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Why most AI projects fail in enterprise

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.

AI Hallucinations

LLMs invent facts when they lack business documentation. Without governed context, your AI agents are guessing, and your team is left debugging.

Scattered Metadata

Business definitions live in wikis, spreadsheets, and people's heads. When AI asks "what does revenue mean?", there is no single source of truth.

Compliance Blind Spots

AI agents accessing sensitive data without governance context create audit failures. Regulators don't accept "the model decided" as an answer.

Dawiso solves all three.

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Three Steps to AI-Ready Context

Agents fail because they lack business context. Dawiso builds it automatically: raw metadata becomes governed knowledge your AI can query and trust.

Scan Your Data Landscape

Connect to 40+ data platforms. Dawiso automatically discovers assets, maps dependencies, and builds your catalog.

Product Features included:

Automatic Data Catalog

Unstructured Data

Connectors

Generate Business Context with AI

AI writes business descriptions, maps relationships between terms, and traces lineage, turning raw metadata into knowledge.

Product Features included:

Business Glossary

Interactive Data Lineage

Connect AI Agents to Your Knowledge

Any AI agent or LLM queries your governed context in real time through MCP. Your AI answers with verified facts from your catalog.

Product Features included:

MCP Server

AI Governance

Why Teams Choose Dawiso for AI Context

Built for data leaders who need AI-ready metadata without a 6-month implementation.

Catalog in Weeks, Not Months

Data catalog, business glossary, and AI-ready context live in weeks. No year-long project required.

Human-in-the-Loop

AI generates context. Your team reviews and approves it. Governance workflows keep definitions accurate and trusted.

Any AI, One Protocol

Claude, Copilot, custom agents: connect them all through a single MCP Server. One integration covers all.

50%+ Cost Savings

Enterprise-grade catalog, glossary, and lineage at a fraction of what legacy vendors charge. Full features, fair pricing.

Ready to see it in action?

Book a 30-minute call. We'll walk through your data stack and show you how the Context Layer works on real scenarios.

What the Context Layer Does

Four core capabilities that turn scattered metadata into governed, AI-queryable knowledge.

AI-Generated Context

Stop writing documentation by hand. Dawiso AI analyzes your data assets and generates business-ready descriptions, ownership suggestions, and classification, ready for human review in hours.

Intelligent Relationship Mapping

See how your data connects. Dawiso discovers relationships between business terms, auto-links related assets, and traces data lineage across your landscape without manual documentation.

MCP Integration

Give AI agents real-time access to your governed context. Through Model Context Protocol, any LLM or agent can query business terms, lineage, and metadata, so every AI answer is grounded in trusted knowledge.

Governance and Data Modeling

Start from a proven governance methodology. Dawiso includes approval workflows, stewardship roles, and quality checks for managing business definitions. Map data flows through business operations and govern structured and unstructured data in one place.

What users say

5.0 on Capterra · Gartner Peer Insights

“The Ultimate Data Maze Transparency”

Jan K. · Business Solution Data Architect

“Streamlining our compliance with Dawiso”

Vipin G. · Security Consultant

“Robust Data Management Vendor with Accurate Financial Reporting Management”

Hardik S. · Associate, Investment Banking

Frequently Asked Questions

Everything you need to know about the Context Layer. Can't find what you're looking for? Contact us and we'll reply within one business day.

What is a metadata context layer for AI?

A 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.

What's the difference between a context layer and a semantic layer?

A semantic layer translates technical data into business language. A context layer goes further, adding data lineage, governance, and business process context that AI agents need for trustworthy answers.

How does a semantic layer work with AI?

A semantic layer gives AI consistent business definitions and metrics. When AI agents query data, they use the semantic layer to understand what "revenue" or "customer" means in your business, preventing misinterpretation.

What is a data catalog for AI?

A data catalog for AI goes beyond traditional data discovery. It provides business context, lineage, and governance metadata that AI agents need to understand and use your data correctly. Use Dawiso MCP to connect your catalog to the AI models.

How do AI agents use data catalogs?

AI agents query data catalogs to understand what datasets exist, what they mean, how they're related, and who can access them, making AI responses contextually accurate and compliant.

What is MCP (Model Context Protocol)?

MCP is an open standard that connects AI agents and LLMs with external tools, data, and business context. Dawiso provides its own MCP Server, allowing your AI to access and reason with your enterprise data and metadata. You can read more about it in this article.

How long does implementation take?

Most teams have a working data catalog and business glossary within a single day. The full context layer, including AI enrichment and MCP connectivity, is typically deployed within one to two weeks, depending on the number of data sources and complexity of your landscape.

Do I need a dedicated data team to run Dawiso?

No. Dawiso is designed for both technical and business users. Data engineers set up connectors and scans, while business analysts and domain experts contribute definitions and context through an intuitive interface. No coding required for day-to-day use.

Can I try Dawiso before committing?

Yes. You can explore our interactive demo with preloaded data, or book a personalized demo where our team walks you through the platform with your specific use case in mind.