SFT Protocol Partners with PalmCode for AI Palmistry on Web3

SFT Protocol has announced a strategic partnership with PalmCode, aiming to integrate traditional palm reading with advanced Web3 technology. This collaboration, revealed on May 17, leverages machine learning to provide users with insights into their personalities and life paths, all while ensuring data control and privacy. The announcement, shared on X, emphasized the importance of user privacy and transparency, inviting individuals to explore self-understanding in a digital environment.

Prior to this announcement, PalmCode detailed the joint initiative, describing SFT Blockchain as a fully generalized DePIN DAO that connects real infrastructure. The collaboration features a cross-chain framework designed to bridge physical assets with Web3 applications. Decentralized computing, storage, and delivery tools are highlighted as foundational elements, enhancing scalability and accessibility through a robust decentralized infrastructure.

A key benefit of the SFT Blockchain is its ability to add liquidity to assets that are typically locked for extended periods. Through a decentralized protocol, users can stake tokens and mint new transferable assets, making them usable across various applications beyond simple holding. On-chain operations include staking, lending in DeFi, participating in DAOs, and deploying infrastructure. This network design supports dynamic interactions and secure data handling, aligning with decentralized principles and prioritizing user control over assets.

The modular design of the SFT Blockchain facilitates seamless communication across diverse networks, ensuring smooth asset exchange and interoperability even when users operate on different chains. Smart contracts and decentralized nodes handle operations without central points of failure, offering robust security and supporting privacy for personal data management. Users maintain control over their own information within a decentralized environment, aligning with neutral reporting of technical capabilities and user benefits.

One of the standout features of this collaboration is the integration of AI palmistry with decentralized infrastructure for analysis. Deep learning models examine palm lines to produce insights about personal traits and tendencies, aiming to offer objective data rather than interpretive or faith-based conclusions. By utilizing a decentralized network, the service reduces dependence on centralized cloud providers, ensuring users have confidence in data handling and model accuracy under neutral governance. This approach supports transparency and aligns with the general goals of Web3-based tools.

A broader ecosystem operates as a marketplace connecting hardware, software, and blockchain services. This framework creates revenue opportunities for device owners, node operators, and application developers. It also allows for the tokenization of physical infrastructure and scalable data processing across nodes. Biometric capture devices or mobile sensors could integrate seamlessly through neutral protocols, supporting AI services with efficient and secure data transmission. Token rewards can reflect real-world usage and drive user engagement in decentralized networks.

On May 14, SFT Protocol announced another partnership with the Atleta Network, which focuses on sports, asset tokenization, and decentralized commerce. Atleta Network has handled over twenty-four million transactions and supported nearly one million wallets. Through this agreement, SFT Protocol provides decentralized storage and computing services for sports and tokenization use cases. Both partnerships, with PalmCode’s AI palmistry integration and Atleta’s sports infrastructure, highlight SFT Protocol’s versatile DePIN approach. They demonstrate the network’s ability to support diverse real-world Web3 services with technical precision, aligning with the broader theme of merging infrastructure with user-centered applications.