# Vision

### Building an AI Model Hub <a href="#building-an-ai-model-hub" id="building-an-ai-model-hub"></a>

Syneris aims to build a strong platform where AI models can be created, tested, and shared publicly. This ecosystem will encourage developers and creators to build different AI approaches addressing specific problems, increasing participation levels in AI creation for many.

### AI Models for Everyone, Everywhere <a href="#ai-models-for-everyone-everywhere" id="ai-models-for-everyone-everywhere"></a>

Syneris serves as an AI Models Marketplace for many users, catering to businesses and researchers. The platform will provide a diverse range of AI models to ensure there is something for everyone. This variety not only enhances the user experience but also promotes experimentation, enabling individuals to find AI solutions that meet their specific needs.

### Equitable Earnings for All <a href="#equitable-earnings-for-all" id="equitable-earnings-for-all"></a>

A major part of Syneris’s vision is ensuring fairness in how revenue is generated. The project plans to share the income from AI models among three main groups:

**AI Builders**: Those who create and deploy AI models will earn a share of the revenue, motivating them to produce high-quality and innovative work.

**Infrastructure Contributors:** People or organizations providing the necessary computing power (CPU and GPU) will also receive benefits, encouraging a strong resource network.

**Syneris’s Treasury:** A portion of the revenue will go back to Syneris to support ongoing development and improvements.


---

# 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.synerisai.org/vision.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.
