Description
Go! SmartChain AI is a Bitcoin-integrated, agentic Layer 1 blockchain that powers an AI-native tokenization marketplace. It is designed for real users, developers, and enterprises, utilizing the decentralized gas and governance token, $GSMC. The platform facilitates seamless real-world asset (RWA) tokenization, provides AI agent infrastructure, and offers gamified user engagement in sectors like health, finance, education, and digital collectibles. It aims to reduce friction in asset issuance, ownership, and reward distribution by combining AI automation with a scalable on-chain user experience. The ecosystem is supported by Go! Fund I, a $50M builder fund backed by investors such as Animoca Brands and Polygon, which deploys $GSMC into applications built on the Go! platform. The project also features a secondary utility token, $GOXP, for consumer rewards and micro-interactions, and is expanding its network through an Agentic Node system, allowing users to become validators via Telegram.
Go! SmartChain AI is building the world's first intelligent asset network, a Bitcoin-secured blockchain where AI agents transform intent into autonomous value creation. This agentic economy aims to make every action an on-chain transaction and every interaction a source of value. The platform's initiatives include Agentic Nodes, which are intelligent infrastructure powering a self-driving asset economy by executing programmable logic and automating tokenized asset flows for things like real estate, IP, and in-game items. The Lysa Testnet allows developers to build and test RealFi applications that bridge blockchain with real-world assets. The ecosystem is supported by a decentralized GPU network for computational power and features the Go! AI-RPG Game, which merges gaming with blockchain technology. Key features of the platform include an agentic approach where AI drives the network, decentralized governance contracts, AI-enhanced zero-knowledge proofs for privacy and scalability, AI-optimized validation for faster transactions, and a dynamic fee and reward model for long-term sustainability.