
Track the data, definitions, SQL, snapshots, and report bindings behind a conclusion so teams can verify what changed.
Start from the claim
Every answer begins with the question and the context used to interpret it.
Follow the generated work
Inspect the query, definitions, and source objects behind the response.
Understand later changes
Use snapshots and history to explain why numbers moved over time.
Trace depth
Lineage turns an AI answer from a claim into an inspectable object. It shows the path from the prompt to the warehouse result.
See which datasets, tables, and columns contributed to the output.
Understand which metric and business rules shaped the query.
Know exactly which data state the conclusion was pinned to.
Stakeholders need confidence without reading SQL. Analysts need enough detail to debug. Vuon layers both views into the same trail.
Show the decision-relevant sources and freshness in everyday language.
Reveal SQL, run state, and dependency details when someone needs to verify.
Lineage travels with the output, including Slack answers and shared reports.
How it works
The same operating rhythm runs through the product: gather trusted context, show the work, then ship an output that can be reviewed.
Every answer begins with the question and the context used to interpret it.
Inspect the query, definitions, and source objects behind the response.
Use snapshots and history to explain why numbers moved over time.
Next step