"High spenders" could resolve to two Segments. Pick one — or define a new threshold.
Product · How it works
Most analytical interfaces show you a query or chart after the meaning has already been chosen. Spotonix is the AI analyst that interprets before it queries: it makes that choice inspectable as an analysis plan before SQL executes.
Ground / 01 · Builds the Context Graph
Spotonix reads your warehouse schema, your modeling layer, BI assets, and approved query history, and builds a Context Graph of governed concepts — Segments, Calculations, dimensions, and Analysis Patterns — scoped to your deployment.
Your Context Graph · retail example
Compose / 02 · Resolves material ambiguity
The first time Spotonix meets an ambiguous term, it surfaces the choice instead of guessing. Once you approve a definition, it can be persisted to your Context Graph. Where an approved interpretation is persisted and retrieved, a later question can reuse it instead of re-asking.
"High spenders" could resolve to two Segments. Pick one — or define a new threshold.
Plan · retrieved from your Context Graph
Approve an interpretation once. Where it's persisted and retrieved, a later question can reuse it instead of re-asking.
Compose / 03 · Shows the plan
A real, multi-concept question. The interpretation is a graph — named nodes, named edges — you can read in seconds. The plan is the review surface: the business terms, calculations, filters, grain, and scope the generated query is expected to honor.
Reuse / 04 · Approved work becomes shared context
Where approved interpretations are persisted and retrieved, they can become shared context for later analysis — so a later question can start from Segments and Calculations your team already accepted, rather than from a blank prompt.
Then a discovery question — answered from what's already there
“Show me how the customer dimension is segmented with respect to sales.”
Nothing new to define. Spotonix answers from the Segments and Calculations your team already accepted — Premium Customers, High Spenders, and the High-Sales cohort, each already related to Sales in the Context Graph — and shows how the customer dimension breaks down before any SQL runs.
Current capability boundary
Inspect the business concepts and analytical structure selected for the question.
Pause after interpretation and resume only after plan confirmation.
Check material query bindings against the accepted plan before execution.
Part of the Insights capability, available today.
Decision and outcome memory for recurring meetings, so each review starts from what the last one settled.
Interpret your own Power BI models. Available in private beta today.