> ## Documentation Index
> Fetch the complete documentation index at: https://docs.platinur.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What is Platinur?

> Connect sources, build governed models and dashboards, and release validated analytics changes.

Platinur is a data engineering control plane that runs on top of your data warehouse. It carries source systems through the full analytics lifecycle — ingested, modeled, analyzed, scheduled, and turned into dashboards — in an environment-controlled workflow, so your team moves with speed while keeping control at every step.

Choose **Connect** for USD 249/month to bring your own analytical database, or **Managed** from
USD 499/month with a capacity selected during signup. Both include 10 million AI tokens each
month. Verify your work email, complete secure Stripe Checkout, and Platinur provisions the
workspace only after payment is confirmed. See [Plans and Billing](/get-started/plans-billing).

The product is not a generic BI tool or upstream ingestion platform. It is an analytics engineering control plane: source data lands in your ClickHouse, Platinur profiles the selected tables, interviews you about your business, generates and validates dbt models and governed metrics, builds Evidence dashboards, and moves production changes through GitHub-backed promotion.

## Core responsibilities

* Configure and test data sources.
* Load source data into your warehouse.
* Select source schemas and tables for modeling.
* Generate dbt staging, warehouse, and mart layers — plus governed metrics — from a business interview.
* Let the Assistant answer questions and propose validated dbt and Evidence changes.
* Apply validated changes to Staging in one motion (files staged, models run, dashboards rebuilt).
* Prepare a dependency-aware named release and publish it to production.
* Run, schedule, and monitor source loads, dbt runs, and dashboard refreshes.

## Product surfaces

In sidebar order:

* **Assistant** answers data questions and creates or repairs dbt and Evidence changes in Staging.
* **Promotions** reviews staged changes and publishes them to production.
* **Integrations** configures, tests, discovers, loads, and schedules the eight supported source types.
* **Models** has five tabs: Models, Metrics, Data, Schedule, and the Staging-only Build workflow.
  Lineage appears inside Models beside the model layers and tests rather than as a separate tab.
* **Dashboards** opens Evidence dashboards and manages their metadata, groups, sharing, subscriptions, and staged deletion.
* **Monitoring** shows failures, in-flight work, schema drift, and audit activity.
* **Docs** links here.
* **Configuration** manages your data warehouse, GitHub, assistant, and notifications.
* **Settings** manages your profile, workspace preferences, team access, and the account danger zone. Support diagnostics live on the separate **Support** page.

A **Staging / Production** toggle at the top of the sidebar scopes the environment-aware
views; Integrations, Configuration, and Settings apply to both environments.

## The operating model

Development happens in **Staging**: the Assistant builds and changes models there, and every
change is validated in isolation before it is committed to the staging branch. Promotions shows
actual dependencies between those ordered changes. To release, select the work you want, review
any automatically included requirements, validate the Production and remaining Staging states,
name the release, and publish it through GitHub. Independent work can remain available for the
next release. Platform-supported AI is included with every workspace; adding your own API key is
optional.