"Enterprise AI needs more than access to data. It needs to understand that data," said Samuel Nagy, VP of Strategic Growth, at Dawiso. "When an AI agent queries your systems, it must know what 'revenue' means in your business, where that data comes from, and whether it's trustworthy. That's exactly what Dawiso's Context Layer provides. Now, with new AI-powered tools, all the content that can be used to feed AI is automatically generated in hours, not months, based on scanned metadata. That allows you to have credible AI soon, even when you haven’t had a data catalog before."
The Enterprise AI Context Challenge
Organizations implementing conversational AI, natural language query systems, and internal AI agents face a fundamental challenge. The technical data without business meaning produces technically correct but business-meaningless answers. AI systems can find tables and columns, but cannot interpret business terminology, understand data relationships, or assess information about data sensitivity without proper context.
Chief Data Officers and other leaders responsible for enterprise AI need to enable innovative AI applications while ensuring answers are accurate, compliant, and business-relevant. The problem of gathering and organizing companies' knowledge around data has been addressed by traditional data catalogs for years. But these approaches require months of manual documentation and metadata management, creating bottlenecks that slow AI initiatives.
Dawiso's Solution: Automated Context Layer
Dawiso's Context Layer solves this challenge by automatically building the semantic intelligence AI systems require. The platform scans existing data sources and generates comprehensive business context, data lineage, and metadata, transforming raw data into AI-ready knowledge.
Key Capabilities:
AI-Generated Context – AI automatically generates business descriptions and documentation for your data assets at scale. Get AI-ready in hours, not months.
Intelligent Relationship Mapping – Automatically discover how your data connects. Dawiso maps business term relationships, generates data lineage, and reveals dependencies without manual effort.
Model Context Protocol (MCP) Integration – Enables AI agents and conversational analytics to connect directly to business context through Dawiso MCP, ensuring every AI interaction accesses the right definitions, lineage, and metadata.
Business Process Modeling – Enriches the context layer with business process models, connecting technical assets to real-world workflows.
Unified Structured and Unstructured Data Context – Provides consistent context across databases, warehouses, documents, and files, ensuring AI agents have a complete, business-aware understanding regardless of data type.
Why Data Leaders Choose Dawiso
The new product offering emerged from the real needs and conversations from data leaders: "CDOs tell us they've been trying to build context layers manually for months or even years," explained Nagy. "With Dawiso, they're feeding AI agents with trusted business context in hours. That speed advantage means the difference between prototypes that stall and AI applications in production."
Dawiso differentiates from traditional data catalogs by focusing on:
- Automatic and fast: AI-generated context and lineage in hours, not months of manual documentation
- Supporting the standards: Native support for Model Context Protocol (MCP) and industry-standard APIs, ensuring compatibility with leading AI agents, LLMs, and analytics platforms.
- Complete coverage: Handles both structured data (databases) and unstructured data (documents)
- Affordability: Enterprise-grade capabilities without enterprise-grade complexity or cost
- Human-in-the-loop: Automation is paired with governance workflows, ensuring context stays accurate, relevant, and trustworthy
Market Positioning
As enterprises shift to AI-first architectures, Dawiso positions uniquely as the context intelligence platform for AI used in the data landscape. The solution serves CDOs, CIOs, CTOs, and data leaders who must enable fast AI innovation while ensuring accuracy, compliance, and business relevance.
Availability
Dawiso's Context Layer is available now for enterprise customers. The platform integrates with major data platforms, including Snowflake, Databricks, PostgreSQL, and leading BI tools, including Qlik, enabling rapid deployment across existing data infrastructure.
Organizations interested in building intelligent, context-aware AI can schedule a demonstration at this link.
About Dawiso
Dawiso is an AI-first context platform that provides the semantic intelligence layer enterprise AI systems require. The company's Context Layer automatically generates business context, data lineage, and metadata that enable conversational analytics, AI agents, and intelligent applications to deliver accurate, business-aware answers. Built for Chief Data Officers and data leaders, Dawiso transforms technical data into AI-ready business knowledge automatically. Headquartered in Prague, Dawiso serves enterprises globally that are building intelligent, context-aware AI systems. Learn more at dawiso.com.
Media Contacts
Lenka.zemanova@dawiso.com (Copywriter)
Philip.korinek@dawiso.com (Marketing manager)
Webpage: https://www.dawiso.com/
LinkedIn: https://www.linkedin.com/company/dawiso
Additional Resources
Articles:
What is a Context Layer for Enterprise AI?
The Complete Guide to MCP
AI Agent Systems and Data Operations
How Does Semantic Layer Help AI Understand Data
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