# Home

**Kawa is a unified, collaborative analytics workspace** that takes you **from source to app** — connect data, model in sheets and formulas, explore with views and charts, automate actions, and publish dashboards and apps in one place with a shared source of truth, so teams ship faster.

***

## How Kawa works

#### Run enterprise operations with AI — securely and at scale

KAWA AI connects enterprise systems, teams, agents, and internal apps in a single execution layer. It helps organizations coordinate workflows, enforce business logic, manage approvals, and execute actions with full governance, traceability, and control.

#### What you can do

* **Connect:** ERP, CRM, data warehouses, APIs, trading systems, and internal tools.
* **Orchestrate:** design, automate, and execute workflows across systems and teams.
* **Apply business logic:** enforce rules, policies, and conditions at every step.
* **Run AI agents:** enable agents to plan, decide, and act within governed processes.
* **Validate and approve:** add routing, escalation, and human oversight where needed.
* **Audit and govern:** keep logs, traceability, security, access, and compliance built in.
* **Operate at scale:** support human teams, AI agents, and internal apps from one secure execution layer.

<figure><img src="https://2701963830-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6wXylCyyATfFd8yjjWTn%2Fuploads%2FOn7PIEQqiO4t34NKL8iz%2Fhome.png?alt=media&#x26;token=c85b0e2d-fbc6-43c7-a800-eaf6171471f5" alt=""><figcaption></figcaption></figure>

***

#### Start Your First Project Now

Ready to dive in? Start here:

[Getting started](https://docs.kawa.ai/00_01_getting_started)

#### Learn by watching

Short videos to get productive fast.

[Video tutorials](https://docs.kawa.ai/video-tutorials/english-tutorials)

***

## What's Inside

| Section                                                                 | Description                                                                                        |
| ----------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| [Data Integration](https://docs.kawa.ai/01_00_data_integration)         | Connect to internal or external systems to feed data in KAWA                                       |
| [Data Modeling](https://docs.kawa.ai/02_00_modeling)                    | Create your sheets to share powerful data models with your teams                                   |
| [Computation](https://docs.kawa.ai/03_00_computations)                  | Apply formulas, lookups, and mappings to transform and enrich your data with ease                  |
| [Visualization](https://docs.kawa.ai/04_00_visualization)               | Create charts, grids and pivot tables to explore your data in a few clicks                         |
| [Reporting and Publishing](https://docs.kawa.ai/05_00_publishing)       | Your data models are ready? Let's publish them with Dashboards or even Data applications           |
| [AI Integration](https://docs.kawa.ai/06_00_ai_integration)             | Chat with your data in natural language and create a team of agents to help you with your tasks    |
| [Workflows](https://docs.kawa.ai/07_00_workflows)                       | Design, run, and monitor your own workflows, powered by your data                                  |
| [Administration and Sharing](https://docs.kawa.ai/08_00_administration) | Learn more about data security, sharing and permissions                                            |
| [Python Integration](https://docs.kawa.ai/09_00_python_integration)     | Run Python code to automate tasks, process data, or build custom logic into your workflows         |
| [Architecture](https://docs.kawa.ai/10_00_architecture)                 | Discover how Kawa manages storage, caching, and native connections behind the scenes               |
| [Exploitation](https://docs.kawa.ai/11_00_exploitation)                 | Back up your databases and create monitoring views to track user activity and script execution     |
| [Release Notes](https://docs.kawa.ai/12_00_release_notes)               | Stay up to date with KAWA releases: new features and improvements                                  |
| [Terminology](https://docs.kawa.ai/13_00_terminology)                   | Learn the language of Kawa: clear definitions of key terms and how they relate across the product. |

***

## Useful Links

* [Python SDK](https://github.com/kawa-analytics/kywy-documentation)

*Get Python running on Kawa in minutes—no hassle.*

* [Install the KAWA Platform](https://github.com/kawa-analytics/kawa-docker-install)

*A step-by-step guide to installation and setup.*

* [KAWA official website](https://www.kawa.ai)

*Explore all features on the official site.*

***

<div align="center"><img src="https://2701963830-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6wXylCyyATfFd8yjjWTn%2Fuploads%2Fgit-blob-2ea6ddf92bc584a6598d4a6b71e83cce94d93e50%2Flogo.png?alt=media" alt="" width="120"></div>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.kawa.ai/index.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
