AI-Powered Yield Strategy Recommendation Engine

We integrate live data feeds from 50+ DeFi protocols across Ethereum, Solana, and Layer 2s. Our engine continuously monitors APYs, liquidity depth, and impermanent loss metrics to identify optimal opportunities.

Proprietary ML models evaluate smart contract risk, volatility, and correlation to recommend strategies that balance yield targets with your specific risk tolerance. Includes simulations for stress scenarios.

Deploy capital and rebalance positions automatically based on strategy signals. Includes gas optimization for Ethereum and MEV protection to ensure cost-efficient transaction execution.

Tailor the engine's decision-making with white-label dashboards and parameter controls. Set custom rules for asset allocation, yield targets, and protocol whitelists to match your fund's mandate.

Built with secure coding practices (OpenZeppelin), our engine undergoes third-party smart contract audits. Includes multi-sig transaction approval flows and non-custodial fund management.

Gain deep insights with dashboards tracking realized APY, fee efficiency, and risk exposure. Generate institutional-grade reports for stakeholders with attribution analysis.

We deploy ML models that analyze wallet history and risk tolerance to surface the 3-5 most relevant yield opportunities for each user, increasing strategy adoption by 40-60%.

Our engine continuously ingests data from 50+ DeFi protocols (Aave, Compound, Uniswap V3) and Layer 2s to provide recommendations based on live APYs, liquidity, and risk scores.

Every recommended strategy is filtered through configurable risk parameters (TVL, audit status, team doxxing) and regulatory checks to protect your users and platform.

Integrate personalized yield widgets and recommendation APIs into your dApp frontend in under 2 weeks. Built with React/TypeScript and comprehensive documentation.

Gain insights into user engagement, strategy performance, and retention metrics through a dedicated admin dashboard. Track KPIs like TVL growth and user lifetime value.

Fully customize the UI/UX of the recommendation interface to match your dApp's branding, ensuring a cohesive user experience that reinforces your product.

We integrate with your target DeFi protocols (Uniswap V3, Aave, Compound) and ingest historical on-chain data to model pool dynamics, fee structures, and impermanent loss risks.

Our quant team develops and simulates strategy logic against years of historical data, stress-testing for black swan events and optimizing for risk-adjusted returns (Sharpe Ratio).

We implement the strategy in Solidity 0.8+ with OpenZeppelin libraries, followed by a mandatory security audit from a top-tier firm like Trail of Bits or CertiK before deployment.

We manage the mainnet deployment and provide a real-time dashboard for monitoring APY, TVL, and risk metrics, with automated alerts for strategy rebalancing.