# Getting Started with ALTAI

> ALTAI is a platform for building synthetic datasets from your documents and fine-tuning models on that data.

ALTAI is a platform for building synthetic datasets from your documents and fine-tuning models on that data.

## What you can build

- **Synthetic datasets** — Turn your uploaded files (PDF, DOCX, RTF, HTML, TXT) into conversational training data using the [Afterimage](https://github.com/altaidevorg/afterimage) generation stack.
- **Fine-tuned models** — Train models (like Qwen3, Gemma, or Llama variants) on your datasets using Cinderflow, our purpose-built workflow runner.
- **Other modes** — Additional run modes like RAG and Zero-tune are available, with Agents and Evaluation coming soon.

## Create your account

1. Go to [app.altai.dev](https://app.altai.dev) and click **Sign in** to access the auth page.
2. On the **Sign Up** tab, enter a valid email and a password (at least 8 characters), or sign in with Google or GitHub.
3. After signing in, you will land on the **Dashboard**, where you can view your projects, runs, and credit balance.

## Organizations and Teammates

ALTAI uses organization-based billing and collaboration. When you sign up, a "Personal Team" organization is automatically created for you. 

- **Roles**: There are three types of roles within an organization: **Owner**, **Admin**, and **Member**. 
- As the creator, you automatically become the Owner. You can invite teammates as Admins or Members, and Admins can also manage Members within the organization.
- You can create additional organizations to keep different teams or billing separate.

## Projects and Workspace

Projects are bound to an organization. Each project has its own workspace consisting of:
- **Runs** — synthetic dataset jobs, fine-tuning jobs, etc.
- **Files** — documents you upload for generation and training.

## Credits and Billing

**Credits** are Altai’s internal unit for consumption and are tied to your organization. When a project consumes credits, they are deducted from its parent organization's balance.

- **Synthetic dataset generation** consumes credits based on LLM token usage during generation.
- **Fine-tuning** consumes credits based on GPU job cost from the training system.

You can view your organization's balance and top-up from the **Account** page, where checkout is handled via Creem. You can also enforce a minimum credit balance and set credit budgets for specific runs.

Source: https://altai.dev/docs/getting-started/