Dawiso

Dawiso positions itself as one governed context layer for people and AI. Per the page, it scans warehouses, lakes, BI tools, business systems and documents without requiring pipelines to be built, provides a catalog with column-level lineage and quality signals, and manages versioned, reviewed glossary terms, metrics and calculations with AI-drafted updates confirmed by experts. Every asset and definition gets an owner, policy and audit trail, with approval workflows keeping a human in the loop. AI models and agents access the same context through an MCP server and APIs under the same permissions. The page cites more than 24,000 data professionals, over 40 data platform connectors, and a claim of over 50% lower cost than other solutions.

Key features

• Automated metadata scanning of warehouses, lakes, BI tools, business systems and documents
• Data catalog with column-level lineage and quality signals
• Interactive data lineage
• Business glossary with versioned, reviewed and re-approved terms, metrics and calculations
• AI-drafted glossary updates confirmed by experts
• Ownership, policies and audit trails for assets and definitions
• Approval workflows with human-in-the-loop feedback
• Search and self-service for people
• MCP server and APIs for AI models and agents with the same permissions
• Unstructured data governance
• Connectors to more than 40 data platforms, with new connectors added monthly
• AI-powered metadata context generation and enrichment

Best suited for

• Data governance teams
• Enterprises in banking and financial services
• Public sector institutions requiring compliant data management
• Manufacturing and energy organisations managing operational data
• Software and e-commerce teams publishing data products
• Organisations preparing data context for AI agents

Pricing

Not stated on the website