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

# Vertical Services

Vertical Services is the expansion layer of the Vertical Ecosystem. Through strategic partnerships, advisory, and execution support, we help external teams ship real businesses while connecting their work into a shared network of infrastructure, distribution, and utilities.

> "Extend the ecosystem. Expand the reach."

**Two service arms:**

| Service           | What it does                                                       |
| ----------------- | ------------------------------------------------------------------ |
| Vertical Labs     | Advisory and execution partner for companies looking to enter web3 |
| Vertical Alliance | Network of partner projects connected to the Vertical ecosystem    |

Every project we work with has the opportunity to integrate with VERTAI, expanding the ecosystem's reach and utility.

{% content-ref url="/pages/P2Us5dftvwXtBEYzzUBX" %}
[Vertical Labs](/vertical-services/vertical-labs.md)
{% endcontent-ref %}

{% content-ref url="/pages/HsPuf2ypy7PLkRVtXKFa" %}
[Alliance](/vertical-services/alliance.md)
{% endcontent-ref %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.verticalstudio.ai/vertical-services.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.