> For the complete documentation index, see [llms.txt](https://myth.gitbook.io/myth-white-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://myth.gitbook.io/myth-white-paper/7.-roadmap.md). # 7. Roadmap #### Q2 2025 Finalize core team and secure multi-institutional strategic investment Complete tokenomics framework and smart contract audit Launch MYTHCAM prototype and testnet deployment #### Q3 2025 List $MYTH on Hotcoin Exchange to provide liquidity and enable community mining\ Onboard early API partners for enterprise-level geospatial data applications #### Q4 2025 Deploy decentralized governance framework (DAO) Expand to Korean exchanges to strengthen Asian market penetration\ Launch enterprise-grade MYTHCAM devices for large-scale data contribution #### Q1 2026 List $MYTH on Gate.io Exchange to enhance global liquidity access Begin licensing on-chain map assets to AI labs and autonomous driving companies #### 2026 and Beyond Develop and promote a standardized framework for on-chain geospatial assets Position MYTH as the foundational layer for AI-driven, RWA-integrated mapping systems Establish partnerships with leading AI labs, mobility platforms, and smart city initiatives globally --- # 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://myth.gitbook.io/myth-white-paper/7.-roadmap.md?ask=&goal= ``` `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.