In this post, we announce Dawiso’s 2025 achievements and outline its vision for 2026, focusing on expanding AI agent capabilities for metadata management and introducing collaborative conceptual modeling tools that bridge the gap between business and technical teams.
The past year marked significant milestones for Dawiso as the company solidified its position as a critical infrastructure provider for AI-powered data management:
Dawiso achieved validated technology partner status with Databricks, integrating its AI Context Layer with the Databricks Data Intelligence Platform. This partnership ensures that AI built on Databricks is not only powerful but reliable, with Dawiso supplying essential business context, including glossary definitions, data lineage, asset descriptions, interconnected knowledge, and business ownership.
"The Databricks Data Intelligence Platform allows organizations to democratize data and AI across the enterprise," said Samuel Nagy, VP of Strategic Growth in Dawiso. "Dawiso adds the critical context layer that makes AI outputs trustworthy. This is just the first step toward deeper product integration."
Additionally, Dawiso became available through the Microsoft Azure Marketplace, streamlining procurement and deployment for Azure customers worldwide. This listing significantly reduces friction for enterprise customers looking to integrate data governance directly into their cloud infrastructure. More about it in the previous announcement.
Throughout 2025, Dawiso evolved its positioning from a traditional data governance platform to an AI Context Layer, a fundamental shift that recognizes AI agents as consumers of enterprise data. The platform now serves as the essential bridge between raw data and AI-powered decision-making, ensuring AI systems understand not just what data exists, but what it means in a business context.
Looking ahead, Dawiso will deepen its focus to address the most persistent challenges in enterprise data management.
Dawiso will significantly expand how AI agents can assist with metadata management and catalog operations. These AI-powered assistants will help organizations maintain accurate, up-to-date data catalogs without the manual overhead that typically makes governance initiatives unsustainable.
One of the biggest challenges in any data project is getting business and data teams on the same page. Technical models are often too complex for non-technical users to follow, while business input is frequently too vague or abstract for data teams to build from.
Conceptual modeling enables the business analysts, domain experts, and data architects to sit down together and build models collaboratively… everyone seeing the same picture, everyone understanding what's being modeled.
"It's a shared visual map of how your organization works and how data supports that reality," explained Michal Peroutka, Product Manager in Dawiso. "What's designed conceptually can be carried through to technical implementation, because Dawiso isn't a modeling tool, but a comprehensive metadata platform."
Building on the AI Context Layer positioning established in 2025, Dawiso will continue to deepen its role as essential infrastructure that makes enterprise AI trustworthy and business-aware. As organizations increasingly deploy AI agents and large language models, these systems need more than just data access. They need a business context to deliver accurate, compliant, and relevant answers.
Dawiso's Context Layer provides AI agents with the governed business context they need: business definitions from glossaries, data relationships through lineage, and documentation. Through MCP connectivity, conversational AI and intelligent agents can dynamically query this governed data context, understanding not just what data exists, but what it means in your business.
"2026 will be about AI agents operating autonomously across enterprise workflows," concluded Samuel Nagy. "We're building the infrastructure that helps AI agents understand your business, connecting technical data assets to real-world business operations, ensuring AI delivers answers that are both technically accurate and business-relevant."
Dawiso is a 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.
Lenka.zemanova@dawiso.com (Copywriter)
Philip.korinek@dawiso.com (Marketing manager)
Webpage: https://www.dawiso.com/
LinkedIn: https://www.linkedin.com/company/dawiso
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