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Platinur turns existing source data into governed analytics assets. It runs on a customer-controlled Docker host and coordinates source loading, data modeling, dashboard builds, scheduling, promotion, and runtime monitoring. The product is not a generic BI tool or upstream ingestion platform. It is an analytics engineering control plane: source schemas are loaded into ClickHouse, Platinur profiles selected tables, dbt models are generated and validated, Evidence dashboards are built, and production changes move through GitHub-backed promotion.

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Core responsibilities

  • Configure and test data sources.
  • Load source data into ClickHouse reporting schemas.
  • Select source schemas and tables for modeling.
  • Generate dbt staging, warehouse, and mart layers during Initial Run.
  • Let the Assistant propose validated dbt and Evidence changes.
  • Apply validated changes to Staging.
  • Promote approved changes to the configured production branch.
  • Run, schedule, and monitor source loads, dbt runs, and Evidence refreshes.

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Product surfaces

  • Integrations configures and tests source connections.
  • Operations shows the data model and runs Initial Run.
  • Assistant creates or repairs dbt and Evidence changes.
  • Promotions moves validated staged work toward production.
  • Scheduling manages source and dbt refresh schedules.
  • Dashboards opens Evidence dashboard previews.
  • Monitoring shows runs, logs, failures, and audit activity.
  • Configuration manages GitHub, Assistant, connector packs, and environment settings.
  • Settings manages portal users, roles, and account access.

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v1 operating model

Platinur v1 is optimized for assisted pilots. A Platinur operator or customer admin installs the Docker stack, confirms source availability, configures GitHub and OpenAI, runs Initial Run in Staging, reviews proposals, and promotes approved changes through GitHub.