Intelligent Yield Optimization

AI Yield Optimization with Autonolas Agents

We employ Autonolas to deploy decentralized autonomous agents that optimize yield and capital efficiency.

Use Cases:

• Auto-compound rewards across different liquidity pools.

• Shift liquidity based on changing APR, risk exposure, or user-defined preferences.

• Dynamically reallocate funds to new strategies discovered by agents in real-time.

How it works: Autonomous agents run off-chain and send execution signals to on-chain smart contracts deployed on Monad. They analyze APRs, protocol security events, and utilization rates. Once a rebalancing opportunity is detected, the agent triggers a transaction on Monad through a designated smart contract.