StratrosAI
  • WhitePaper of StratrosAI
    • Background
      • Introduction
      • Problem Statement
      • Industry Analysis
    • StratrosAI Introduction and Core Features
      • What is StratrosAI?
      • StratrosAI Solution
    • System Architecture and Technical Flow
      • System Architecture
      • Technical Workflow
    • DA Service API
      • gRPC Interfaces
      • ICDA Storage Canister and Confirmation Canister
        • Storage Canister
        • Confirmation Canister
    • Application and Mechanism of the Restaking Feature
      • Advantages of Restaking
      • Working Principle of Restaking
      • Infrastructure
    • Market Potential and Use Cases
      • Market Potential
      • Market Size
      • Use Cases
    • Business Model and Target Users
      • Business Model
      • Target Users
    • Costs, Challenges and Validation
      • Costs and Challenges
      • Validation
      • Open Source
    • Future Development and Competitive Comparison
      • Roadmap
      • Competitive Comparison
    • Conclusion
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  1. WhitePaper of StratrosAI
  2. Future Development and Competitive Comparison

Roadmap

  • Phase 1: Launch decentralized storage and DA solutions to ensure AI project data can be stored on-chain efficiently and securely.

  • Phase 2: Integrate the restaking framework, allowing users to boost asset yields through ckBTC and ckETH restaking, contributing to network security.

  • Phase 3: Introduce the AVS ecosystem, supporting decentralized AI project development to foster a conducive environment for on-chain AI applications.

  • Phase 4: Implement a community-driven governance model and update mechanism, ensuring ecosystem flexibility and user engagement.

  • Phase 5: Expand to more complex AI application scenarios, supporting a broader range of on-chain AI tasks and real-world applications.

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Last updated 4 months ago