> 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