Definitions drift across systems
Data moves between systems constantly, but the context around that data (what it represents, how it relates to other things, why it was captured) rarely travels with it.
A record lands in a new tool stripped of the relationships and meaning that made it useful in the first place. Teams end up working only a fragment of the data they need, and every question asked against it returns an incomplete answer.
A shared abstraction layer
Galaxy provides a central place to define, update, and govern the structure of your organization’s data. Entities, relationships, lineage, and business logic are maintained within your context graph rather than embedded separately in each tool.
Instead of reconstructing meaning in every dashboard, transformation, or AI prompt, systems and teams reference the same shared structure. Changes are made once and update everywhere. Context management becomes a controlled, persistent layer in your infrastructure instead of parsing through duplicated logic spread across systems.
Knowledge and information teams that need a central place to manage definitions as their systems evolve.
See other solutions
Galaxy is designed to solve problems across the data and AI infra stack.





