> For the complete documentation index, see [llms.txt](https://mana.gitbook.io/manadia/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mana.gitbook.io/manadia/8.-technical-roadmap.md). # 8. Technical Roadmap The manadia roadmap is built around three strategic pillars: * AI-Native Compute Coordination Network * Trustworthy AI Prediction Model * Product Ecosystem ### 2026 H1: Foundational Network and Core Model Phase * Complete the foundational architecture of the AI-Native Compute Coordination Network * Integrate mainstream AI model APIs * Develop the initial AI API Routing prototype * Establish Token consumption analytics and invocation monitoring capabilities * Complete the initial training of the Trustworthy AI Prediction Model * Build a multi-market data ingestion pipeline * Deliver the core AI User interface experience * Establish model hash, version management, and data source visualization ### 2026 H2: Trusted Execution and Productization Phase * Enhance Dynamic Model Routing * Expand Agent Runtime and tool invocation capabilities * Integrate Trusted Execution Environment (TEE) * Launch the AI Prediction Model DApp * Improve visualization of PNL, asset growth, factor sources, and real-time activity * Develop the Agent Trace product * Expand Vertigas data source registration and Oracle capabilities * Release the first version of the Trustworthy-AI Auditor ### 2027: Open Ecosystem Phase * Open access for third-party compute nodes * Enable third-party model and Agent integration * Launch the Deploy Agent Workspace * Launch the Provide Data Workspace for data providers * Expand the data catalog to 10 categories and 150 data types * Launch the manadia Prediction Market * Enhance strategy replay, data auditing, and execution verification * Release enterprise-grade AI API Routing and Agent Trace ### 2028: Scaled Network Phase * Establish a collaborative AI network spanning multiple models, markets, and data sources * Support AI workloads across additional industries * Expand into rendering, video generation, healthcare, finance, enterprise automation, and other application domains * Establish mature standards for Trustworthy AI Agent execution * Enhance global payment infrastructure and enterprise services * Position manadia as the trusted AI Compute Coordination Network for the AI Agent era --- # 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://mana.gitbook.io/manadia/8.-technical-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.