AIFlow
  • Overview
    • Introduction
    • The Vision of AIFlow
    • Core Principles
  • Platform Structure
    • Layered Architecture
      • Consensus Layer
      • Data Layer
      • Service Layer
  • Development Roadmap
    • Phase 1: Infrastructure Platform Construction (Q3–Q4 2025)
    • Phase 2: Ecological Expansion (Q1–Q2 2026)
    • Phase 3: DAO Governance (Starting Q3 2026)
  • Getting Started With AIFlow
    • Creating a New AI Agent
    • Deploying Your AI Agent
  • Key Technology Innovations
  • Use Cases & Collaborations
    • Finance Sector
    • Gaming Sector
    • Future Expansion
  • Community and Support
    • Community Links
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  • Partner: Tongyi Qianjin (Fintech)
  • Key Technology Implementations:
  • Application Scenarios:
  • Impact: 90% reduction in analysis time, saving an estimated $5M in fees by 2026
  1. Use Cases & Collaborations

Finance Sector

Partner: Tongyi Qianjin (Fintech)

Key Technology Implementations:

  • Real-time analytics for DeFi insurance and investment strategies

  • Real-time on-chain data collection from BNB Chain

  • MultiModal Machine Learning Processing combining NLP and chart analysis

  • Retrieval Enhanced Generation (RAG) technology for context extraction

  • LLMOps tools for dynamic model adjustment based on market changes

  • Secure inference process running in Trusted Execution Environments

Application Scenarios:

  • DeFi Insurance Agent: Automatically generates insurance products based on on-chain data, calculates premiums, and processes claims through smart contracts

  • Investment Analysis: Provides personalized investment advice by analyzing staking returns and recommending optimal strategies

Impact: 90% reduction in analysis time, saving an estimated $5M in fees by 2026

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Last updated 16 days ago