Mozaic utilizes AI-driven optimization through its Archimedes system to automate yield farming across multiple blockchains, enabling users to deposit and withdraw assets in any coin or liquidity pool token. The platform addresses yield decay, high transaction fees, and the complexities of cross-chain transactions, ensuring users maximize their profits with minimal effort.
Funding
Funding not disclosed
Founders
Product
Problem
Yield farming in decentralized finance (DeFi) is often hampered by yield decay, high transaction fees, and the complexity of managing positions across multiple blockchains. Users face challenges in maximizing profits due to these inefficiencies and risks associated with cross-chain transactions.
Solution
Mozaic utilizes an AI-driven system, Archimedes, to automate and optimize yield farming strategies across various blockchains. The platform enables users to deposit and withdraw assets in any coin or liquidity pool (LP) token, regardless of the underlying chain. By leveraging the LayerZero messaging layer, Archimedes can move user funds to the optimal yield farm, reallocating assets automatically to maximize profit and mitigate risks such as yield decay and high transaction costs. This approach provides users with sustainable real yield without inflated token emissions.
Target Audience
Mozaic targets DeFi users seeking automated yield optimization and risk mitigation, as well as individuals looking to simplify cross-chain yield farming strategies.
Features
- AI-powered automation of yield farming strategies across multiple blockchains
- Omnichain interoperability via LayerZero for cross-chain asset movement
- Real yield generation through farming and reallocation of assets
- Auto compounding of vault assets when profitable
- Support for deposits and withdrawals in any coin or LP token
- Risk mitigation against yield decay, transaction fees, and cross-chain risks
- Integration with Portals to accept deposits from a wide range of tokens and LP positions
- Vault audits performed by Trust Security