AI is only as good as the context behind it
Before AI can be trusted or deliver value, it has to understand your data: what it means, where it comes from, and how it should be used. DataGalaxy turns scattered data into shared, reusable context for every team and every AI initiative.
AI does not fail on models. It fails on context.
Most AI initiatives stall for the same reason: the data is there, but the meaning is not. Without definitions, relationships, and ownership, people and agents are left to guess.
Data no one can find
Assets are scattered across warehouses, dashboards, and tools, with no shared place to discover what exists or who owns it.
Terms that mean different things
Finance and Sales define revenue differently. Without a shared language, every team reports its own version of the truth.
AI with no grounding
Agents answer from fields they do not understand, producing confident results that no one can stand behind.
faster time to insight
With AI-powered search and automated cataloging, Swiss Life built AI-ready data at scale, across 17 systems and 30+ data assets, so teams find and understand data in a fraction of the time.Read the Swiss Life story →
Context is the meaning around your data
At DataGalaxy, context is the layer that makes data understandable: what each asset is, what it means, and how it should be used. It turns raw tables into knowledge that people and AI can actually work with.
Discovery
Find and understand the data that exists across every source, fast.
Business glossary
One shared language so every team means the same thing by the same term.
Documentation
Capture the knowledge in people's heads so it stays with the data.
AI-ready meaning
Serve rich, structured context that AI agents can actually understand.
The same question. A very different answer.
Ask AI about your data and the result depends on the context behind it. Without context, AI guesses. With DataGalaxy, the answer is grounded in shared definitions and connected data knowledge.
“Revenue was about €4.2M, based on a field named revenue. I am not sure which one is official or what period it covers.”
Customer revenue in Q2 was €3.87M, from the certified finance field, using the company definition for the April to June period.
Everything you need to build context
Bring discovery, meaning, documentation, and shared knowledge into one connected workspace for people and AI.
Data catalog
Discover and manage metadata, ownership, definitions, and connected assets in one place.
Learn more →Business glossary
Share definitions so every team and every AI agent uses the same business language.
Learn more →Data dictionary
Document every table, field, metric, and definition in one connected environment.
Learn more →AI data steward
Let AI classify, document, enrich, and connect your catalog at scale.
Learn more →Blink, the AI copilot
Ask questions in plain language and receive answers grounded in governed metadata.
Learn more →Data community
Bring business and technical teams together around shared, reusable knowledge.
Learn more →Context is the start. Trust makes it usable.
Once data has meaning, the next step is proving that people and AI can rely on it. Connect context to quality, ownership, policies, certification, and lineage so every output is defensible.
Give your AI the context it needs
See how DataGalaxy turns scattered data into shared, trusted, AI-ready context across your whole organization.