> For the complete documentation index, see [llms.txt](https://docs.unitlab.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.unitlab.ai/documentation/start-here.md).

# Unitlab Product Documentation

This documentation is organized around the objects and responsibilities a production team operates: data, datasets, projects, annotations, multimodal context, ontologies, workflows, queues, releases, collaboration, security, and workspaces. It is grounded in the current Unitlab platform source dated July 29, 2026 and current product screens.

## Watch Unitlab AI in action

Unitlab helps AI teams curate, annotate, manage, version, and prepare multimodal training data at enterprise scale. This overview shows connected video, document, audio, image, workflow, review, and versioned dataset operations in one enterprise platform.

{% embed url="<https://cdn.prod.website-files.com/651fc1beafe23dfe4999151d/6a7610b174ee3346f6af02c1_unitlab-multimodal-data-platform-explainer-1080p.mp4>" %}

[Open the full-screen Unitlab AI explainer](https://cdn.prod.website-files.com/651fc1beafe23dfe4999151d/6a7610b174ee3346f6af02c1_unitlab-multimodal-data-platform-explainer-1080p.mp4).

## Follow the production lifecycle

```mermaid
flowchart LR
  A["Workspace"]
  B["Data"]
  C["Dataset version"]
  D["Project"]
  E["Annotate + review"]
  F["Release"]
  A --> B
  B --> C
  C --> D
  D --> E
  E --> F
```

## Documentation map

| Area                   | Use it to                                                                         |
| ---------------------- | --------------------------------------------------------------------------------- |
| Get Started            | Orient the team, understand the object model, and prove one end-to-end cycle.     |
| Data                   | Ingest, organize, curate, group, and explore durable source data.                 |
| Datasets               | Publish reusable membership versions and control project attachments.             |
| Projects               | Configure the operating boundary for policy, work, quality, and delivery.         |
| Annotations            | Use the shared Workbench and modality-native editors.                             |
| Multimodal Annotations | Preserve multiple views or modalities as one contextual work unit.                |
| Ontologies             | Govern classes, geometry, properties, relations, validation, and schema versions. |
| Workflows              | Design human, model, review, rework, and completion routes.                       |
| Queues                 | Allocate, prioritize, monitor, and recover individual and batch work.             |
| Releases               | Freeze approved output and validate it downstream.                                |
| Collaboration          | Coordinate members, roles, assignments, feedback, and ownership.                  |
| Security               | Protect identities, credentials, sensitive data, and privileged operations.       |
| Workspaces             | Govern the top-level resource, identity, storage, and capacity boundary.          |

{% hint style="warning" %}
Unitlab configuration is connected. Changes to source membership, Data Groups, ontology, workflow, permissions, models, or export mapping can affect active work and downstream data. Validate material changes on a controlled cohort and retain an operational record.
{% endhint %}

***

> **Related Unitlab capability guides:** [enterprise data annotation workflows](https://unitlab.ai/en/data-annotation)