PRIVATE EVALUATION · PRE-RELEASE

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.

Evaluation requests open an external Google Form. See our Privacy Notice.

Real data stays in your environment Purpose-built runtime API-first metrics
revenue-intelligence.local
LOCAL RUNTIME
WORKSPACE / REVENUE

Revenue intelligence

Net revenue+18.6%
$12.48M
Activation rate+4.1%
68.4%
Expansion MRR+9.8%
$284K
Revenue velocityMonthly recurring revenue
15M10M5M0
JUL 2026$12.48M+18.6%
SepDecMarJunAug
Generated from your schema
DATA ENGINEERINGGOVERNED METRICSGENERATED DATA APPSSELF-SERVICE AIMETRICS APION-PREMISES RUNTIME
THE VEXNOR DIFFERENCE

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.

GENERAL AI APP BUILDER
Generate codeTestFixRepeat

Open-ended generation creates open-ended iteration.

VS
VEXNOR
Intent + schema Governed runtime Working data app

More compiler than coding agent. Specialized by design.

FROM INTENT TO APPLICATION

The shortest path from data
to a working experience.

01

Connect the shape of your data

Vexnor maps schemas, relationships, and business context—without pulling operational datasets into its cloud.

02

Describe the outcome

Ask for the app, model, metric, or workflow you need in the language your business already uses.

03

Use the working data app

Vexnor generates against a governed runtime, so your team starts with a usable application—not a code repair loop.

LOCAL DATA. CENTRAL INTELLIGENCE.

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.

Operational data remains on-premises Vexnor works from schema and metadata App definitions and updates stay synchronized
VEXNOR INTELLIGENCE
Generate Edit Collaborate
SCHEMA · METADATA · APP DEFINITIONS
secure sync
YOUR ENVIRONMENT
Vexnor runtimeCustomer controlled
PostgresClickHouseSQL Server
QUERIES · BUSINESS DATA · ACCESS CONTROL
ONE PLATFORM, EVERY DATA INTERFACE

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.

Engineer

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.

Define

One meaning for every metric.

Define governed metrics once, then reuse them across dashboards, APIs, self-service questions, and external AI tools.

Experience

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.

Extend

Every metric is programmable.

Metrics and provisioning are API-addressable, making Vexnor a ready-made data intelligence layer for products, agents, and internal automation.

HEADLESS METRICS

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.

metrics-api.tsLIVE CONTRACT
const revenue = await vexnor.metrics.query({
metric: "net_revenue",
dimensions: ["region", "segment"],
range: { from: "2026-01-01" }
});

// typed, governed, permission-aware
200 · 42msGoverned at source
Activation funnel
AM

Can we segment this by acquisition channel?

LK

Added to the Q3 review.

TEAM PULSEWhich activation metric should anchor the next experiment?
First value reached 64%Invite sent 24%Integration live 12%

28 responses

DATA COLLABORATION

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
SELF-SERVICE, WITHOUT SEMANTIC DRIFT

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.

IN DEVELOPMENT Conversational dataset exploration
PLANNED Private and shared personal spaces
MSMy spacePrivate
Retention signals Expansion accounts Product health
PERSONAL SPACES · PLANNED
MY SPACERetention signals
Show accounts with declining weekly activity and expansion potential
Created 2 metrics, 1 chart, and a watchlist
Expansion potential
01 Northstar Labs 9402 Acme Systems 8803 Form & Field 81
{Vexnor mark}
OPEN AT THE QUERY LAYER

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.

PRIVATE B2B EVALUATIONS

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.

Request private access Short B2B evaluation request · Opens Google Forms · Privacy