> For the complete documentation index, see [llms.txt](https://nanovita.gitbook.io/nanovita-gitbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nanovita.gitbook.io/nanovita-gitbook/technical-architecture-and-product-system/technical-architecture-and-product-system.md). # Technical Architecture and Product System NanoVita adopts a modular four-layer full-stack architecture to ensure a complete closed-loop from data to value: | Layer | Name | Core Function and Technology | | ------- | ----------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Layer 1 | Nanotech Data Layer (Data Source) | Secure Data Collection: Responsible for collecting and pre-processing large-scale, multi-modal physiological and health data from wearables and sensors. | | Layer 2 | AI Bio-Intelligence Layer (Insight Engine) | Intelligent Analysis: Runs advanced AI models (e.g., Graph Neural Networks, Transformer) for deep analysis, health pattern recognition, and physiological response prediction. | | Layer 3 | RWA Data Layer (Value Assetization) | On-Chain Data Assetization and Ownership: Assetizes verified and anonymized data on-chain in the form of Tokenized Health Proof (THP), establishing ownership and enabling controlled circulation. | | Layer 4 | DeSci Protocol Layer (Governance and Incentive) | Decentralized Governance: Implements decentralized governance through a DAO, managing research direction, fund allocation, contribution assessment, and token incentive mechanisms. |