Enterprise tools.
Source included.

Start with a working application. Follow the deployment guide. Adapt it to your infrastructure and models.

Illustrative studio arrangement of modular tools, glass and documentation on a stone work surface
Tools you can inspect, with documentation you can work from. Illustrative artwork.

Find your starting point.

Read the requirements and setup guidance before choosing a source edition.

All applications

The guide comes
with the application.

Know what you need before you install. Understand what to change when you make it your own.

Explore the deployment guides

A practical path to your own deployment

  1. Review the workflow and prerequisites.
  2. Choose your infrastructure and approved model.
  3. Install with synthetic example data.
  4. Verify, connect your systems and maintain your changes.

A developer or team comfortable with Python and deployment is recommended for initial implementation.

Your infrastructure.
Your choice of models.

Each released product explains its supported deployment targets, external accounts, model options and operating costs. Bring an OpenAI-compatible provider or a local Ollama model where that product supports it.

Source licenses, update eligibility and support are stated per product. A hosted demo shows the application; the deployment guide explains what it takes to run your own.

Understand the license