See the plan
The selected Segments, Calculations, filters, grain, and scope are shown as an inspectable plan before SQL executes.
Why Spotonix
See what Spotonix thinks you mean—before it queries your data.
Every AI-analytics tool now promises context, citations, and trustworthy answers. Spotonix moves the review earlier — to the moment that matters most: before the answer exists. It shows the business meaning it selected, and in Copilot mode it waits for your approval before the query runs.
In one sentence
Before it runs the numbers, Spotonix shows you how it understood the question.
If an important business term is unclear, it asks. In Copilot mode, you approve the plan before query generation continues. It’s the difference between a careless analyst who quietly decides what regular customer means and runs the numbers — and a good one who reads the assignment back first: “here’s what I’ll include and the period I’ll compare — right?”
Why it matters
A misunderstood question can produce a convincing wrong answer.
The failure mode of fast AI analytics isn’t a broken query — it’s a fluent, confident answer to a question the tool quietly misread. By the time it reaches a board deck, the misread is invisible. Spotonix catches the misunderstanding before the analysis runs, while it’s still cheap to fix.
How the checkpoint works
The interpretation is visible before any SQL executes.
Spotonix exposes the selected definitions, calculations, scope, filters, and time window as a plan you can read — before the query runs. This is the one behavior that is both live today and, in the products reviewed as of August 2026, not occupied by the alternatives.
It asks
When an unresolved business term could change the analysis, Spotonix surfaces it as a focused question instead of guessing.
You approve
In Copilot mode, query generation pauses until you accept the plan and its analytical scope.
It’s checked
The generated SQL is validated against the plan’s accepted bindings before it runs.
How it compounds Live
The same checkpoint produces something durable: approved company meaning.
Every time your team approves an interpretation, you create a record of how your business actually asks questions and defines its terms. Those approved meanings are persisted and retrieved, so the company stops re-teaching the same business language. The foundation model is available to everyone; your approved meaning is not.
This compounds from what your team approves — not automatically from every query. That’s the point: the meaning on the record is meaning someone signed off on. See Context Graph and Docs for how capture, retrieval, and deletion work.
What to test
A moat is a product behavior, not a slide.
Bring one deliberately ambiguous business question — “Which stores are losing regular customers?” — and watch what happens before any query runs. See ten worked examples of questions that quietly fork into different numbers.
Visible analysis plan Live
Inspect the selected business meaning before SQL executes.
Material ambiguity Live
See whether an unresolved term is surfaced as a focused clarification.
Copilot plan gate Live
Confirm that query generation pauses until the plan is accepted.
Binding validation Live
Inspect how the generated SQL is checked against the accepted plan before execution.
Bring one word your company argues about
See how Spotonix interprets it.
Use a real recurring question. Inspect the plan, the checkpoint, and the query bindings before anything executes.