The surface your team actually uses. The Assistant answers open-ended questions over your data, the dashboard widget already knows what you're looking at, and Context Studio is where analysts teach the AI what your business means.
Studio reaches · Guardian protects · Atlas grounds
A business user, a Jubi Data user, and an analyst each meet Studio in a different form. Each surface follows how that person already works, not how an interface designer wishes they did.
Conversational, and built for follow-up rather than one-shot prompts. Threads persist across sessions. When a question reaches past your warehouse, web search and file uploads step in.
Open the Jubi tab on any Jubi Data dashboard. It already knows which dashboard you're on, has the data behind each card pre-loaded, and is ready for the next question without a context switch.
The annotation surface for the people who maintain the data. Annotate the model, then scope workspaces with their own playbooks, glossary terms, and verified metrics. The more analysts contribute, the sharper the answers get.
Context Studio is where your analysts curate the semantic layer directly: browse the data model, scope workspaces, and edit glossary terms, metric definitions, and playbook content in the product. The work they put in once is what keeps every answer grounded.
Studio is shaped to four jobs that already exist in every enterprise. It fits the way people already work instead of asking them to change.
Anyone who needs to know something about the business but can't or won't write SQL. They open Studio, ask in plain language, and get an answer with a citation.
The people who maintain the dashboards and know what the columns actually mean. They use Context Studio to teach the platform once, instead of fielding the same question forty times.
Teams running repeatable analyses: weekly reviews, exception monitoring, ops dashboards. Playbooks let them codify a question once and run it on a cadence.
Security, compliance, and platform owners. They watch what the AI does, set who is allowed to see what, and check that the answers match agreed definitions. Admins live across all three parts.
The boundary is deliberate. Read paths are wide so questions land. Write paths are narrow and explicit, so nothing changes by accident.
Every question typed into Studio takes the same path. The user sees one conversation; underneath, the platform sees a request, a policy decision, and a grounded answer.
Studio is the part the user touches. It never answers on its own: Guardian checks who is asking and what they are allowed to see before the query runs, and Atlas supplies the definitions so the answer matches what the business actually means. Take any one away and Studio stops being trustworthy. See the platform architecture → for the full diagram.