Introduction
Memehive approached Blockify to build an autonomous trading system capable of executing trades in milliseconds while maintaining high levels of accuracy and profitability. The client wanted an AI-powered agent that would scan Solana liquidity pools, detect arbitrage opportunities, and maximize profits. Our team developed a machine learning–driven trading agent fully integrated with Solana AMMs, using advanced order routing, MEV capture, and automated risk controls.
Challenage or Problem
- The volatile nature of Solana meme tokens required precise risk management.
- Liquidity fragmentation across different pools created inefficiencies.
- Bot detection systems on exchanges needed anti-sybil measures.
Contributions
Jorche Milton: Blockchain Architect
Robert Jhonson: AI Engineer
Emily Sophia: Smart Contract Auditor
Benjamin Lucas: DevOps Specialist
Case Solution
Blockify engineered a Solana-native trading bot using optimized smart contracts and off-chain ML models. The agent achieved +20% net PnL in its pilot phase with full transparency via on-chain dashboards. Anti-bot signatures and gas-optimized execution kept trades compliant and sustainable.