> For the complete documentation index, see [llms.txt](https://whitepaper.nrnagents.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.nrnagents.ai/introduction/the-creators-of-ai-arena/meet-the-team.md).

# Meet the team

## Leader in AI game Tech&#x20;

With AI Arena, we created a groundbreaking game that pushed the boundaries of competitive gameplay.

With NRN Agents, this technology is now available to propel the entire sector to new heights.

## **Founder, CEO & CTO - Brandon Da Silva**

Brandon previously led ML research at a quant investment firm. He developed and implemented a $1 billion quant trading strategy focused on risk parity and mutli-asset portfolio management.&#x20;

Now, he's set his sights on revolutionizing the AI agent game.&#x20;

<div align="left"><figure><img src="/files/8ZO8n8KI7oBfFTnt5L2d" alt="" width="188"><figcaption></figcaption></figure></div>

## **Co-Founder &  COO - Wei Xie**

Prior to ArenaX Labs, Wei managed a $7 billion liquid strategies portfolio at an investment firm.&#x20;

As Chair of the innovation investments program, he led strategy in the emerging fields of AI and web3.

<div align="left"><figure><img src="/files/l0184RAiX2DL5r4gK3Xc" alt="" width="188"><figcaption></figcaption></figure></div>

### **Team of nearly 20 at ArenaX Labs**

ArenaX Labs is a group of passionate individuals looking to make their mark on the AI and gaming worlds. With industry-leading talent in development, art, and marketing, their work is showcased in one of the most innovative web3 games, AI Arena.&#x20;


---

# 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, and the optional `goal` query parameter:

```
GET https://whitepaper.nrnagents.ai/introduction/the-creators-of-ai-arena/meet-the-team.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
