Power BI Copilot
Generates, then guesses
Copilot writes a query from the schema and infers what your terms mean each time. It does not draw on the DAX your analysts already validated, and it never shows you the interpretation before the query runs.
Solutions · Power BI
Your semantic model is locked inside a PBIX file. Your DAX is business logic no AI can reuse.
You spent years encoding the business into DAX — the measures, the relationships, the meaning of "active customer" and "net revenue." It all lives inside PBIX files. Copilot generates fresh SQL and guesses those definitions again every time, the report backlog keeps growing, and each new question still waits on someone who can write DAX.
The alternative today
Copilot regenerates. A rebuild starts from zero.
Every path in front of a Power BI team throws away the semantic model you already paid for — and none of them let you see how the next question was interpreted before it runs.
Rebuild in another tool
Re-encode everything by hand
A new semantic layer means re-writing every measure and relationship in a second dialect — months of work to reproduce logic you can already read inside your models, plus two definitions of "revenue" to keep in sync.
The cost of waiting
The backlog compounds
Business users can't write DAX, so questions queue behind the few people who can. When a senior developer leaves, the reasoning inside those measures leaves with them — and the definitions drift across teams in the meantime.
The outcome
Your existing DAX becomes governed meaning anyone can reuse.
Instead of regenerating around your model, Spotonix reads it. Your Power BI definitions are elevated into the Context Graph — the shared place where meaning is remembered and compounded — so the business logic you already trust drives every answer.
Coming soon
Native DAX/PBIX ingestion is in early access with design partners — not yet generally available. Talk to us about the early-access program below.
Measures → Calculations
The how much, preserved
Your DAX measures — growth, ratios, rates, time comparisons — become Calculations in the Context Graph, carrying the definition your analysts already validated.
Dimensions → Segments
The who, made reusable
Cohorts, store sets, and product groups defined in your model become Segments — shared once, referenced everywhere, no longer re-derived per report.
Report shapes → Analysis Patterns
The reusable intent
The recurring analytical shapes in your reports become Analysis Patterns — the semantic glue binding Segments and Calculations into a repeatable question.
How it works
Intent Algebra interprets the question before any SQL runs.
Once your model is in the Context Graph, a plain-English question no longer becomes a guess. Intent Algebra resolves it into a visible plan built from your own definitions, and only generates SQL once the plan closes.
-
01
Bring in your model Coming soon
Point Spotonix at a PBIX file. In early access, ingestion reads your DAX measures, calculated columns, relationships, and hierarchies into the Context Graph — every business rule preserved, nothing re-typed.
-
02
Ask in plain English
A business user asks a question. Intent Algebra binds the terms to Segments, Calculations, and Analysis Patterns drawn from your model — no DAX required of them.
-
03
See the plan before anything runs
Spotonix shows how it interpreted the question before executing. The plan is visible before any SQL runs, and the generated SQL is validated against the accepted bindings before execution. Ambiguity is surfaced and asked, not silently guessed.
Representative questions
What Power BI teams bring to Spotonix.
Unify definitions
"We have hundreds of PBIX files across teams — which ones define 'revenue' differently, and which is right?"
Spotonix surfaces the competing definitions, shows the difference, and lets the business settle on one that then drives every answer.
Self-service
"Our business users can't write DAX and wait days for every new question. Can they just ask?"
They ask in plain English; Intent Algebra composes the plan from the measures your team already validated.
Knowledge retention
"Our senior Power BI developer is leaving and nobody else understands the DAX. What happens then?"
The Context Graph holds the meaning of each measure and relationship, so the reasoning stays after the author does.
Reuse across models
"Finance and marketing built the same metric twice. Can we reuse one definition everywhere?"
Once a Calculation lives in the Context Graph, it is referenced across questions rather than re-derived per report.
Proof & status
See it interpret before it queries.
Run the demo
See the interpretation, approve the plan, and inspect what runs — and watch the ambiguity gate ask instead of guess. That behavior is live today.
Native DAX/PBIX ingestion Coming soon
Reading your Power BI models directly into the Context Graph is in early access with design partners — not yet generally available. We're onboarding a small group who want their existing DAX to become reusable, governed meaning first.