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Developer Docs
  • Platform Architecture
    • 💠Introduction
  • 💻Application Layer
    • 🙋‍♀️Alith - AI Agent Framework
    • 🏦DeFAI: AI-Driven DeFi
    • 🛒DAT Marketplace
    • 🚀Agent Launchpad
  • 🛡️Trust & Execution Layer
    • Consensus Protocol
    • Settlement Layer
    • Execution Layer
    • Data Availability Layer
  • 🖇️Exetention Layer
  • Data Anchoring Token (DAT)
    • 🧠Introduction
    • 🔍DAT Specification
    • 💎Value Semantics
    • 📁DAT Lifecycle Example
  • Quorum-based BFT Consensus
    • 💎Introduction
    • 🛠️iDAO-Quorum Interaction
    • 📝Quorum-Based BFT Protocol
    • 🫵Slashing & Challenger System
    • 🌀Quorum Rotation & Benefit
  • Verified Computing Framework
    • 🔷Overview
  • 🏗️Verified Computing Architecture
  • Contract & Execution Flow
  • LAZAI Workflow & Runtime
    • 🧩E2E Process
    • ⚙️POV Data Structure
    • 🔵AI Execution Mechanism
  • What's More?
    • 🔐Data Protection
  • 🛣️Roadmap
  • 🆎Glossary
  • ⁉️FAQs
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  1. Platform Architecture

Introduction

NextApplication Layer

Last updated 1 month ago

LazAI is designed to create a fully decentralized AI ecosystem, enabling verifiable AI data, computation, and assetization. To achieve this, the platform follows a modular architecture that ensures seamless interaction between AI models, datasets, developers, and blockchain infrastructure.

The LazAI Platform Architecture consists of the following layers:

  • Application Layer: By combining on-chain verification, decentralized computing, and tokenized AI asset management, the application layer establishes a robust Web3-native AI infrastructure

  • Trust and Execution Layer: Powered by LazChain, this layer serves as the core infrastructure for AI asset issuance, circulation, and computation verification.

  • Extension Layer: Facilitates external data integration, model provider participation, and advanced AI service expansion to enhance interoperability across Web3.

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LazAI Platform Architecture Diagram