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

# Roadmap

<table><thead><tr><th width="115.5625">Period</th><th>Key Milestones</th></tr></thead><tbody><tr><td>2025 Q3</td><td>Completion of Tikkly MVP; technical integration with 3+ partners</td></tr><tr><td>2025 Q4</td><td>Official launch of Tikkly; InfoFi platform whitepaper release</td></tr><tr><td>2026 H1</td><td>KLEVA token listing on major exchanges; launch of InfoFi platform</td></tr><tr><td>2026 H2</td><td>20+ Tikkly business partners onboarded; launch of AI Agent Reward App MVP</td></tr></tbody></table>


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# Agent Instructions
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## 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.kleva.io/roadmap.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.
