8. Technical Roadmap
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The manadia roadmap is built around three strategic pillars:
AI-Native Compute Coordination Network
Trustworthy AI Prediction Model
Product Ecosystem
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
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
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
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
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