Core Positioning
With on-device AI native technology as the core engine and Web4 decentralized value system as the underlying framework, focusing on R&D, production and ecosystem building of AI+Web4 smart terminals, creating a full-chain terminal product system of "hardware securitization, system dual-integration, application scenarization, ecosystem symbiosis", becoming the world's leading AI+Web4 terminal ecosystem provider.
Connecting the physical world with the value internet, upgrading terminals from "consumer tools" to personal digital sovereignty carriers, intelligent value interaction nodes, and industry on-chain landing portals, driving AI+Web4 technology from niche to mass adoption, defining the next-generation value internet smart terminal standard.
Development Phases
1Short-term (1-2 years): Core product launch + establish track benchmark
- Four core technologies: on-device AI model lightweight deployment, Web4 hardware-level security, multi-chain native interaction, AI Agent on-chain autonomous decision-making
- Launch 1-2 core AI+Web4 terminals, targeting Web4 practitioners, AI tech enthusiasts, high-net-worth digital asset holders, accumulating 300K+ core seed users
- Build developer ecosystem and global compliance channels, deploy in Web4-friendly regions like Southeast Asia / Middle East / Eurasia
2Mid-term (3-5 years): Product diversification + market scaling
- Complete consumer AI+Web4 terminal matrix (phones, wearables, tablets, in-car), launch industrial AI+Web4 terminal solutions
- Achieve localized operations in core global markets
- Build mature AI+Web4 terminal ecosystem, achieving hardware + service + ecosystem diversified profit loop
3Long-term (5+ years): Ecosystem leadership + technology export, defining industry standards
- Become the technology leader and standard setter for the global AI+Web4 terminal industry
- Build a "terminal + cloud-edge + ecosystem" full-domain AI+Web4 value network
- Complete global technology export, creating a hundred-billion-level AI+Web4 terminal ecosystem brand
Technology Strategy
Making Terminals the Native Carrier of AI+Web4
Abandoning the shallow "AI plugin + Web4 add-on" model, achieving full-stack native integration of AI and Web4 from hardware to applications, focusing on four core technology directions, creating "secure, intelligent, decentralized, highly compatible" technology, making terminals the native carrier of AI+Web4.
1
On-device AI+Web4 Fusion Core Technology
- On-device AI model lightweight & on-chain adaptation: Through model quantization, knowledge distillation, and compute-in-memory technology, enabling billion/trillion-parameter AI models to run locally on terminals, while developing on-chain scenario-specific AI algorithms to support AI Agent autonomous on-chain transactions, cross-chain operations, asset risk control, NFT creation and authentication;
- Multi-modal intelligent interaction & on-chain command conversion: Conquering voice, vision, natural language multi-modal perception fusion technology, achieving "natural language instruction → AI intelligent parsing → on-chain automatic execution" full-process closed loop, enabling users to complete complex on-chain operations with zero Web4 expertise;
- AI-driven on-chain risk control engine: Developing terminal-local AI risk control models, real-time scanning of on-chain transactions, DApp interactions, smart contract invocation risks, automatically intercepting and warning against malicious addresses, suspicious transactions, and vulnerable contracts to safeguard user digital assets.
2
Web4 Hardware-level Security & Decentralization
- International hardware encryption system: Adopting TEE+SE dual encryption chips, creating an independent hardware security module, achieving local offline storage of private keys and mnemonics, supporting fingerprint/face/iris biometric signing, fundamentally preventing private key leakage and network attack risks;
- Multi-chain native light/full node deployment: Built-in Ethereum, Solana, BSC and other mainstream public chains and compliant consortium chain light nodes, supporting customized full node deployment, achieving real-time on-chain data synchronization, local transaction verification, cross-chain interaction completed within 30 seconds via MPC technology;
- Decentralized Identity (DID) terminal native authentication: Deep binding of terminal device ID with user DID, achieving integrated authentication of devices, identities, and digital assets, all terminal operations, content creation, and data generation can be automatically stored on-chain, safeguarding user data sovereignty and digital asset ownership.
3
AI+Web4 Native System Architecture
- Dual-kernel fusion operating system: Developing the world's first AI+Web4 native operating system, with AI intelligent engine and Web4 decentralized kernel as the system core, replacing traditional centralized architecture, achieving dynamic computing power scheduling, on-chain native interaction, local data encryption, balancing AI intelligence and Web4 decentralization characteristics;
- Cross-ecosystem compatibility layer: Fully compatible with Android/iOS traditional applications downward, providing standardized Web4 DApp access interface upward, while developing AI Agent development kit, enabling developers to quickly upgrade traditional applications to AI+Web4 native applications, lowering ecosystem development barriers;
- Cross-terminal on-chain collaboration technology: Achieving on-chain identity interoperability, digital asset sharing, and task collaboration among multiple AI+Web4 terminals, creating "one person one DID, multi-device one sovereignty" cross-terminal experience, supporting terminal computing power on-chain contribution and value distribution.
4
Data Privacy & Valorization Technology
- On-device data local processing: All user behavior, scenario data, and privacy data are analyzed and processed by AI locally on the terminal, never uploaded to the cloud, fundamentally safeguarding data privacy;
- Federated learning & on-chain model optimization: While safeguarding data privacy, achieving collaborative optimization of terminal AI models through federated learning, model optimization data stored on-chain, users contributing computing power/data can receive ecosystem value incentives, achieving "the more the model is used, the smarter it gets; the more users use it, the more they benefit";
- Terminal data on-chain valorization: Developing data authentication and tokenization tools, supporting users to authenticate original content and behavioral data generated by terminals on-chain, converting them into tradable and stakeable digital assets, achieving autonomous monetization of data value.