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AI powered

Power your AI Agents with Enterprise Context Layer

Automatically connect business knowledge to AI and create an AI-ready context. Built on governedand trusted metadata.

How does it work

AI needs more than data. It needs a business context. Dawiso automatically builds the catalogs, lineage, and business glossary that make enterprise AI actually work.
1
Scan Metadata
Scan your data andautomatically build catalogs, lineage, and business definitions.
Product Features included:

Automatic Data Catalog

Unstructured Data

Connectors

2
Auto-Generate Context
AI enriches your data with business-ready descriptions and relationship maps.
Product Features included:

Business Glossary

Interactive Data Lineage

3
Connect AI Agentsand 
Data Landscapevia MCP
Give AI agents direct access to your governed context and get trustworthy AI that understands your business.
Product Features included:

MCP Server

AI Governance

Bring Data and Business Context to Your AI

Map of your Data for Credible AI: generated in hours, trusted by humans, and built to last.
Fast time
to value
Get a usable data catalog and business glossary in a day. Quickly feed your AI with business-ready context.
Human-in-the-loop quality
Automation is paired with governance workflows, ensuring context stays accurate, relevant, and trustworthy.
Seamless AI integration
Enjoy 100% control over your object models. Compose your own business application.
Automatic metadata context generation
Context is built by automated scanning and AI enrichment,eliminatingthe need for manual input.
Affordable
solution
Enjoy the same features and value at over 50% less than other solutions.
Wide data ecosystem
Easily integrates with your existing data stack. Dawiso connects to more than 60 data platforms.

Check out the key features

See how Dawiso can help you start your journey to data products.
AI automatically generates business-ready descriptions for your data assets. Skip manual documentation and feed your AI agents in hours, not months.

AI-Generated Context 

AI automatically generates business-ready descriptions for your data assets. Skip manual documentation and feed your AI agents in hours, not months.
Automatically discover how your data connects. Dawiso creates maps between business terms through auto-linking and generates data lineage automatically, revealing relationships and dependencies across your entire data landscape without manual effort. 

Intelligent Relationship Mapping 

Automatically discover how your data connects. Dawiso creates maps between business terms through auto-linking and generates data lineage automatically, revealing relationships and dependencies across your entire data landscape without manual effort. 
Get an already established governance methodology for managing your knowledge. This ensures high-quality business definitions, consistent standards, and a trusted context that AI agents can rely on.

Proven Governance Framework 

Get an already established governance methodology for managing your knowledge. This ensures high-quality business definitions, consistent standards, and a trusted context that AI agents can rely on.
Enrich your context layer with business process models. Map how data flows through business operations, connecting technical assets to real-world workflows, giving AI agents the business context they need to deliver relevant answers. 

Business Process Modeling 

Enrich your context layer with business process models. Map how data flows through business operations, connecting technical assets to real-world workflows, giving AI agents the business context they need to deliver relevant answers. 
Data Governance Govern all your data, from databases to documents, in one place. Apply consistent governance, context, and access controls across structured data (tables, warehouses) and unstructured data (PDFs, documents…), ensuring AI agents have a complete, governed context. 

Unified Structured and Unstructured

Data Governance Govern all your data, from databases to documents, in one place. Apply consistent governance, context, and access controls across structured data (tables, warehouses) and unstructured data (PDFs, documents…), ensuring AI agents have a complete, governed context. 
Connect AI agents directly to your context layer. Through MCP, conversational AI and intelligent agents can dynamically query your governed data context, business terms, and lineage. Thanks to this, every AI interaction is grounded in trusted knowledge.

Dawiso Model Context Protocol (MCP) Integration 

Connect AI agents directly to your context layer. Through MCP, conversational AI and intelligent agents can dynamically query your governed data context, business terms, and lineage. Thanks to this, every AI interaction is grounded in trusted knowledge.
Democratize context creation across your organization. Data engineers, analysts, business users, and domain experts all contribute to enriching the context layer.

Team-Powered Context Building 

Democratize context creation across your organization. Data engineers, analysts, business users, and domain experts all contribute to enriching the context layer.

Frequently Asked Questions

Everything you need to know about the comparison. Can’t find the answer you’re looking for? Contact us and we will answer you in a short time
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 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 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'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.

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.

Built with love for our users
Make Data Simple for Everyone. 
Try Dawiso for free today and discover its ease of use firsthand. 
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