MRZH, a next-generation protocol combining artificial intelligence with real-world asset (RWA) mapping, today announced the launch of its global Initial Exchange Offering (IEO) campaign. Designed to serve as a foundational infrastructure for the future of digital finance, MRZH integrates AI strategy engines, compliant RWA onboarding, and zero-knowledge privacy computation into one unified ecosystem.
The MRZH Token will power multiple functions, including node staking, AI model execution, RWA collateralization, and DAO governance. The project aims to address key barriers to RWA adoption—such as fragmented standards, compliance hurdles, and risk management gaps—by introducing system-level solutions.
Core Technology Highlights:
- AI Strategy Engine: Scalable decision models covering trading, approvals, and risk management.
- RWA Asset Mapping: Onboarding gold, real estate, and U.S. bonds through regulatory-compliant custodians.
- ZK Privacy Computation: zk-SNARK–based protocols ensuring identity, asset, and transaction confidentiality.
Commercial Deployment Milestones:
- Partnerships with three RWA custodial institutions.
- Resource-sharing agreement with a leading Middle Eastern financial group.
- First compliant gold-staking scheme to be launched in Q4 2025.
Market Plan:
- Total token issuance: 320 million MRZH.
- Initial subscription price: 1.05 USDT.
- Distribution through a mix of airdrops, buybacks, node incentives, and staking rewards.
- Launch of Cross-Chain Flash Subscription and community rebate programs during the initial phase.
“2025 is widely recognized as the ‘RWA Year’ in Web3,” the MRZH development team said. “MRZH is not only bridging real-world assets with blockchain, but also enabling AI-driven, privacy-preserving execution models that redefine the foundation of decentralized finance.”
With its integration of ZK-RWA mapping, AI execution engines, and governance contracts, MRZH aims to become a structural enabler for industries ranging from finance and logistics to energy, supporting transparent value flows and intelligent coordination at scale.
