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

# Roadmap

## Project Roadmap

### Q3 2024

* Launch of the BGR Token&#x20;
* Founding DLT Foundation in ADGM&#x20;
* CoinMarketCap and Coin Gecko Listing&#x20;
* Listing on DEX&#x20;
* Listing on Tier 2 Exchanges
* Staking&#x20;

### Q4 2024

* Listing on Tier 1 Exchanges&#x20;
* Introduction of Teams in Competitions to facilitate a collaboration ecosystem&#x20;
* Migration of AI Competitions to a Web3 platform&#x20;
* Host first Web3-style AI competition&#x20;
* Launch API Marketplace

### Q1 2025

* Open the bug bounty and open-source contribution program.&#x20;
* Introduction of token incentive for partners&#x20;
* Launch Alpha AI Marketplace
* Implement a Web3 wallet via sibling company DataGateway

### Q2 2025

* Integrate the Job Board with the Web3 platform.
* Introduction of Blockchain-backed certification, recognition and rewards


---

# 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://docs.bitgrit.ai/roadmap.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.
