# Introducing Deep3 Labs

## The mission

Our goal is simple, but ambitious: 

<figure><img src="https://2285034176-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZOOXxPI0kqCO5fwuixS0%2Fuploads%2FvVmlkZmJjAR2BHT3wYrs%2FOur%20mission.jpg?alt=media&#x26;token=8d8bde51-680d-4f99-a84d-682d518f9cf5" alt=""><figcaption></figcaption></figure>

> To bring meaningful AI/ML capabilities to Web3 while sharing the control AI requires and the value AI generates with the everyday users most affected by its actions and most crucial to its creation.

We also took the time to explain this mission in video form:

{% embed url="<https://www.youtube.com/watch?v=LkJrCzM-GUY>" %}

And in words (but only as many as can fit on one page):

{% embed url="<https://deep3labs.docsend.com/view/qmb4wgi7whsas9t9>" %}

Now, unpacking this mission, and explaining exactly how we expect to do it, will be quite the journey.  These docs will guide you along the way, but if you've come here with a more specific question, check out the links below.

## The big questions

Quickly get the gist of "what", "why" and "who deep3"?

{% content-ref url="the-fundamentals/what-we-do" %}
[what-we-do](https://docs.deep3.ai/the-fundamentals/what-we-do)
{% endcontent-ref %}

{% content-ref url="the-fundamentals/why-it-matters" %}
[why-it-matters](https://docs.deep3.ai/the-fundamentals/why-it-matters)
{% endcontent-ref %}

{% content-ref url="the-fundamentals/who-we-are" %}
[who-we-are](https://docs.deep3.ai/the-fundamentals/who-we-are)
{% endcontent-ref %}

## The technology

Our vision for AI/ML on Web3 consists of three main ecosystem components. &#x20;

{% content-ref url="the-technology/ai-models" %}
[ai-models](https://docs.deep3.ai/the-technology/ai-models)
{% endcontent-ref %}

{% content-ref url="the-technology/ai-marketsuite" %}
[ai-marketsuite](https://docs.deep3.ai/the-technology/ai-marketsuite)
{% endcontent-ref %}

{% content-ref url="the-technology/ai-dao" %}
[ai-dao](https://docs.deep3.ai/the-technology/ai-dao)
{% endcontent-ref %}

## The tools

Whether you're a developer or a user, we're building stuff to help you unlock the power of AI on Web3.

{% content-ref url="api" %}
[api](https://docs.deep3.ai/api)
{% endcontent-ref %}

{% content-ref url="the-business/our-dapps" %}
[our-dapps](https://docs.deep3.ai/the-business/our-dapps)
{% endcontent-ref %}

***

{% hint style="info" %}
**A Note on this Document's Construction** :writing\_hand:

With the exception of the "Who we are" section, large language models have been employed to summarize a confidential, extremely detailed business plan that was written entirely without the use of AI. &#x20;

Interested parties are welcome to contact the company in order to request an original copy of that document after executing a simple NDA.
{% endhint %}


---

# 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.deep3.ai/introducing-deep3-labs.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.