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
Powered by GitBook
On this page
  1. WhitePaper of StratrosAI
  2. Business Model and Target Users

Target Users

StratrosAI’s target users include developers and users of various decentralized applications with diverse needs and income expectations. Below is a breakdown of user needs and income analysis:

Web3 Developers

  • Needs: High-performance decentralized data processing and a secure model deployment environment.

  • Income: StratrosAI’s DA layer supports efficient data access, and decentralized storage ensures data privacy, allowing developers to confidently build complex AI applications. The restaking mechanism also enables developers to earn additional income by staking idle assets into the ecosystem.

dApp Developers

  • Needs: Flexible traffic acquisition channels and data-sharing support.

  • Income: StratrosAI’s AVS ecosystem enables dApp developers to access cross-chain data-sharing capabilities, allowing them to retrieve data from multiple chains and sources, enhancing dApp service capabilities. Additionally, utilizing decentralized user traffic, dApp developers can reduce user acquisition costs.

AI Engineers

  • Needs: Low-cost data storage, processing, and cross-chain interoperability.

  • Income: AI engineers can reduce data storage and preprocessing costs through StratrosAI’s decentralized storage system. The DA layer’s cross-chain interoperability provides a richer data source for AI models, simplifying multi-chain data processing. Additionally, the restaking feature offers engineers a long-term revenue channel, allowing them to benefit from ecosystem growth while accessing resources.

Decentralized Infrastructure Providers

  • Needs: Enhancing network efficiency and stability, bolstering decentralized ecosystem security.

  • Income: Infrastructure providers can earn income by providing network support through restaking. Additionally, StratrosAI’s multi-layered architecture allows providers to offer more stable support services, enhancing the security of the decentralized AI network.

General Users and Investors

  • Needs: Asset appreciation and opportunities to contribute to network security.

  • Income: General users and investors can support the security of the StratrosAI ecosystem by restaking ckBTC, ckETH, and other assets, earning staking rewards and enhancing asset yields. Restaking also offers users an accessible way to participate, allowing them to contribute to the decentralized network while gaining returns.

PreviousBusiness ModelNextCosts, Challenges and Validation

Last updated 4 months ago