Technical Architecture

Core Infrastructure

Sandwich AI's technical architecture is built on four foundational pillars:

1. Multi-Chain Execution Engine

2. AI Strategy Engine

The AI Strategy Engine leverages machine learning models trained on:

• Historical MEV data across all supported chains

• Real-time market conditions and volatility patterns

• Gas price fluctuations and network congestion

• Token pair correlations and liquidity depth

• User behavior patterns and strategy performance

3. Privacy Layer

Integration with zero-knowledge proof systems ensures:

• Strategy Protection: Trading logic remains private

• Transaction Privacy: MEV execution cannot be front-run

• Identity Protection: User addresses are not linked to strategies

4. Decentralized Infrastructure

• Distributed RPC Networks: Redundant connections across multiple providers

• Edge Computing: Geographic distribution for latency optimization

• Consensus Mechanisms: Multi-node validation for strategy execution

• IPFS Storage: Decentralized storage for strategy templates and data

Performance Specifications

• Latency: Sub-300ms execution across all supported chains

• Throughput: 10,000+ transactions per second capacity

• Uptime: 99.9% guaranteed uptime with redundant infrastructure

• Scalability: Horizontal scaling architecture supporting unlimited concurrent users