AIX white paper
  • 📌Preface
  • 🌎Market background
    • Limitations and challenges of traditional finance
    • The rise of Web3 ecology and intelligent transformation
    • AI + Blockchain + Crypto Asset Integration Opportunities
  • 🔥Overview
    • About AIX
    • AIX's original intention
    • AIX Mission and Vision
    • AIX Core Values
    • Roles and Functions of AI Agents
    • AIX Main Functions and Services
  • 🔰Technical Architecture
    • AI Agents Intelligent Collaboration Network
      • Core Features of AI Agents
      • AI Agents Workflow
    • AI Computing and Decentralized Storage
      • AI Computing Network
      • Decentralized Storage
      • Collaboration between AI computing and storage architecture
    • AI-enabled cross-chain interoperability and data interaction
    • AI Risk Control and Security System
  • 🪩Application Ecosystem
    • AI-enabled intelligent asset management
    • AI empowers DePIN (decentralized physical infrastructure network)
    • AI Empowers the GameFi Ecosystem
    • AI Empowers the NFT Ecosystem
    • AI Empowers Web3 Social Networks
    • AI empowers DAO governance
  • 🪙Token Economy
    • Total Supply and Distribution
    • Token Allocation
    • AIXT Application Scenarios
    • Objectives of the Economic Model
  • 👨‍💼Team Introduction
  • 🎢Development Roadmap
    • 2022-2024
    • 2025
    • 2026
    • 2027
  • 🔶Disclaimer
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  1. Application Ecosystem

AI-enabled intelligent asset management

With the continuous growth of digital assets, how to manage assets efficiently and securely has become an important challenge for the Web3 ecosystem. AIX provides intelligent asset management solutions through AI Agents, realizing cross-chain asset scheduling, automated revenue optimization, liquidity management, decentralized data storage and other functions, making asset management more intelligent and automated.

AIX combines AI algorithms with blockchain data analysis to monitor market dynamics in real time, optimize investment portfolios, and ensure maximum asset returns. For example, AI can automatically calculate the best collateral strategy to increase asset returns while avoiding market volatility risks. In addition, AI combines decentralized storage technology (IPFS + Arweave) to achieve secure storage and privacy protection of asset data, ensuring data security and transparency.

Benefits of AI asset management include:

✅Intelligent optimization : AI automatically adjusts asset allocation, improves capital utilization, and reduces market risks.

✅Automated execution : AI combined with smart contracts can realize automatic execution of profit strategies and improve transaction efficiency.

✅Secure storage : AI combined with decentralized storage technology ensures the security and privacy protection of asset data.

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Last updated 3 months ago

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