PrivAI
  • About PrivAI
    • PrivAI’s Solution
  • Mission & Vision
  • Privacy & Automation Core
    • Dynamic Privacy Switching
    • Secure TEE Computation
    • Model Context Protocol (MCP) Bridge
      • Key Functions of the MCP Bridge
  • Ecosystem Features
    • AI Agent Marketplace
      • Create-to-Earn: Developer-Centric Model
      • Rent-to-Use: Permissionless Leasing for Users
      • Agent Discovery and Lifecycle
    • Cross-Chain Interoperability
      • Unified Execution Across Chains
      • Use Case Examples
    • Auditable Privacy Logs
  • Advantages
  • Technology
    • Trusted Execution Environments (TEE)
    • Model Context Protocol (MCP)
    • Agent Virtualization & Modular Deployment
  • Tokenomics
    • Token Allocation
    • Utility
  • Roadmap
  • FAQ
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Technology

PrivAI’s architecture is rooted in a privacy-enhanced, agent-driven, and interoperable design that enables scalable, intelligent automation across decentralized environments. Its core technological framework is defined by three foundational pillars: Trusted Execution Environments (TEE), Model Context Protocol (MCP) and Agent Virtualization & Modular Deployment. Together, these components allow the system to achieve secure, adaptive, and composable task execution at the protocol level.

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Last updated 4 days ago