Describe the data app.
Start using it.
Vexnor is being built to turn your data sources into working, on-premises applications—with engineered data, governed metrics, dashboards, APIs, collaboration, and AI exploration built in.
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Revenue intelligence
Built to generate data apps.
Not arbitrary code.
General AI builders explore an endless solution space. Vexnor works from your schemas, business language, and a controlled data-app runtime—so generation ends in something your team can actually use.
Open-ended generation creates open-ended iteration.
More compiler than coding agent. Specialized by design.
The shortest path from data
to a working experience.
Connect the shape of your data
Vexnor maps schemas, relationships, and business context—without pulling operational datasets into its cloud.
Describe the outcome
Ask for the app, model, metric, or workflow you need in the language your business already uses.
Use the working data app
Vexnor generates against a governed runtime, so your team starts with a usable application—not a code repair loop.
Your data stays home.
Your app keeps evolving.
Vexnor learns from the structure of your data—not a copy of the data itself. The generated runtime lives next to your systems and executes queries under your control.
Build the brain once.
Use it everywhere.
The same governed logic powers what people see, what products consume, and what AI agents can safely ask.
The data foundation, handled.
Create an internal analytical store or manage the warehouse you already trust, including ClickHouse. Vexnor keeps models and pipelines aligned with the app they power.
One meaning for every metric.
Define governed metrics once, then reuse them across dashboards, APIs, self-service questions, and external AI tools.
BI becomes a living data app.
Generated pages, charts, filters, comments, notes, surveys, and voting turn analytics from a read-only destination into a collaborative workspace.
Every metric is programmable.
Metrics and provisioning are API-addressable, making Vexnor a ready-made data intelligence layer for products, agents, and internal automation.
Every metric has
more than one life.
A metric created for a dashboard is instantly available to your products, workflows, and AI tools through the same governed interface.
const revenue = await vexnor.metrics.query({
metric: "net_revenue",
dimensions: ["region", "segment"],
range: { from: "2026-01-01" }
});
// typed, governed, permission-awareAdded to the Q3 review.
28 responses
Analytics becomes
teamwork.
Keep the decision next to the evidence. Comments, notes, feedback, surveys, and votes turn dashboards into the place where teams align—not just observe.
- Discuss a chart without losing its context
- Collect structured feedback from data consumers
- Carry decisions into the next AI-assisted edit
Everyone can ask.
Power users can build.
Users can query the datasets they are authorized to access through AI. Next, personal spaces will let them create metrics, pages, and charts—privately or shared with their team.
AI-native on a foundation
developers can inspect.
Vexnor’s query engine is open source: real SQL, typed results, portable execution, and a registry designed to expose approved queries safely across runtimes.
Your next data app
can start with a sentence.
Bring a real analytics problem. See what a purpose-built AI-native platform can generate from the shape of your data.
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