# Introduction

### Welcome to Synnax Lab

A hub for the Synnax data science community.

We congratulate you on beginning your journey with Synnax, a journey that will be as fulfilling as it will be economically rewarding.

Your task on Synnax will be to build AI models that can predict the future financials of public and private companies.

Your input will be much like participation in a Kaggle competition. You will have access to comprehensive labeled training data, an objective, a scoring function, sample models, and the rest of the Synnax data science community, including the Synnax team, to assist you on your journey.

Your model outputs will be a key factor in the calculation of Credit Intelligence, valuable insights for Synnax users.

You will share in Synnax revenues. The more accurate your models, the higher the revenue share.

### **Earn with Synnax Lab:** <https://synnax.app/lab>

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#### Join the Synnax Lab Community Telegram group:

{% embed url="<https://t.me/synnaxlab>" %}


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# 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.synnax.ai/synnax/synnax-lab/introduction.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.