Describe it. Classify it. Link it. Or let AI do it for you.
Documenting a catalog by hand is slow, and most of it never gets done. DataGalaxy’s AI writes the descriptions, suggests the classifications and the links, and answers your team’s questions, so trusted context shows up on day one instead of someday

AI that does the documentation no one has time for
Auto Description
Generate clear, editable descriptions for any object type, in any language. Batch hundreds at once, up to 10x faster.
AI Classification
Auto-tag objects, classify personal data for PII, and curate attributes. Accept or reject in bulk from one center.
Link suggestions
Let the AI find the links between your glossary, usages, and dictionary, and build complete lineage faster.
Blink copilot
Ask about definitions, ownership, lineage, even SQL, in plain language. Self-hosted and multilingual.
Get a documented catalog without writing it yourself
Most catalogs sit half-empty because documentation is a chore. Auto Description reads the context already in your platform and drafts a description for any object. Stewards accept, edit, regenerate, or reject.
Run it in batch and document hundreds of objects at once, up to 10x faster.

Know what’s sensitive before an auditor asks
AI Suggestions classifies personal data for PII, auto-tags objects, and curates attributes from the technical labels, descriptions, and keywords it reads.
Review everything in the AI Suggestions Center and accept or reject in bulk, so compliance work starts itself across thousands of assets.

Connect business terms to the data behind them
Connecting business terms to their real technical objects and usages is where most catalogs stall. Point AI Suggestions at a module, or pick two, and it finds the links between your glossary, dictionary objects, and usages like dashboards and reports. You get a head start on a fully connected catalog, with every suggested link manageable in bulk.

Ask your data anything, in your own words
Blink is the AI copilot built into your platform. Ask what a metric means, who owns it, where its lineage runs, even for help with a SQL query, and get a trusted answer in plain language. No filters, no training, no waiting on the data team.
Teams using Blink see up to 2x catalog adoption.

Give your agents context, not just access
Your AI agents are only as good as the context they’re given. The MCP server exposes your governed catalog to agents, so they answer from trusted definitions and lineage instead of guessing.
And the AI runs fully self-hosted when you need it, with no data leaving your walls.

