Port3 Network is a decentralized AI protocol designed for Web3. Here are the detailed introductions about it:

Core Features

- Cross-chain Operation: Capable of running on multiple chains, supporting EVM, Solana, Bitcoin, and several L2s, it is a cross-chain and multi-layer architecture.

- Data Integration: Connects on-chain and off-chain data, aggregates and standardizes data from Web2 and Web3, creating a unified data layer to provide rich data sources for AI applications.

- AI Operating System: Aims to become a comprehensive AI operating system for Web3, utilizing the computing power of global mobile devices through a distributed node network to train artificial intelligence and process data in a decentralized manner.

Architecture Components

- Machine Learning Dedicated Computing Network: A distributed node network that utilizes the computing power of global mobile devices for training artificial intelligence and decentralized data processing.

- Data Aggregation Layer: Aggregates and standardizes data from Web2 and Web3, encapsulated in the L2 layer, saving gas and facilitating visual access.

- Intelligent Cross-chain Execution Layer: Implements cross-chain data execution based on Blockchain Query Language (BQL), capable of converting natural language into on-chain instructions, serving as an AI-driven execution layer for comprehensive data queries and analysis.

Products and Services

- Nebula: The social LaunchPad of Port3 Network, leveraging data-driven approaches to assist Web3 projects in launching, integrating community support and social data analysis, providing one-stop services covering all stages of the project lifecycle.

- Open BQL: The Blockchain Query Language, with a syntax structure similar to natural language, simplifies and enhances interactions within the blockchain ecosystem, allowing users to automatically execute complex on-chain tasks with one click and incentivizing users to create and share new templates.

- SoQuest: A Web3 Quest platform, acting as a social data conduit connecting Web3 with traditional internet platforms, supporting a large number of active participants and numerous project partners, establishing a social data layer by integrating on-chain and off-chain data to support Web3 applications

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