We architect and deploy production-ready blockchain networks and applications. From Layer 1/Layer 2 protocols to enterprise-grade dApps, our full-cycle development delivers systems that are secure, scalable, and ready for market.
Algorithmic Market Maker AI Optimization
Custom Blockchain Development
End-to-end blockchain solutions built for performance, security, and scale.
- Protocol Development: Custom
EVM-compatible chains,Substrate-based networks, andCosmos SDKapp chains. - dApp & Smart Contract Suite: Complete front-to-backend systems with audited
Solidity/Rustcontracts andReact/Next.jsinterfaces. - Integration & Tooling:
The Graphsubgraphs,IPFSstorage, multi-chain bridges, and custom indexers. - DevOps & Infrastructure: Node orchestration, RPC endpoints, block explorers, and monitoring with 99.9% uptime SLAs.
We translate complex requirements into a technical blueprint and executable roadmap, delivering a minimum viable product (MVP) in as little as 4-6 weeks.
Core Capabilities of Our AI-Optimized AMM Service
We deliver production-ready, intelligent liquidity management that reduces impermanent loss and maximizes fee revenue. Our systems are built on verifiable data and battle-tested models.
Dynamic Fee & Strategy Optimization
AI models continuously analyze on-chain volume, volatility, and competitor fees to recommend optimal swap fees and liquidity concentration strategies, increasing LP yields by 15-40%.
Impermanent Loss Protection Engine
Proprietary algorithms predict price divergence and dynamically adjust pool weights or recommend hedging positions, reducing IL by up to 60% compared to static Uniswap V3 positions.
Multi-Chain Liquidity Orchestration
Deploy and manage synchronized liquidity strategies across Ethereum, Arbitrum, Polygon, and Base from a single dashboard. Our cross-chain arbitrage detection ensures capital efficiency.
Custom Concentrated Liquidity Vaults
White-label, automated vaults that manage Uniswap V3 positions for your users. Includes rebalancing, fee compounding, and performance reporting tailored to your token's volatility profile.
Predictive Liquidity Provisioning
Machine learning forecasts demand surges (e.g., before major announcements or listings) and pre-allocates liquidity, minimizing slippage for your users and capturing more volume.
Enterprise-Grade Security & Monitoring
All AI models and smart contracts undergo formal verification and audits by firms like Spearbit. Real-time anomaly detection alerts for suspicious pool activity or model drift.
Business Outcomes: What AI-Driven Optimization Delivers
Our AI-driven market maker optimization translates directly into quantifiable business performance, reducing risk and maximizing capital efficiency for your protocol.
Maximized Fee Revenue
Our AI models continuously optimize liquidity distribution and pricing strategies to capture more trading volume, directly increasing your protocol's fee income.
Minimized Impermanent Loss
Proactive AI strategies dynamically adjust pool compositions to hedge against volatile market movements, protecting your liquidity providers' capital.
Enhanced Capital Efficiency
Deploy less capital to achieve the same liquidity depth. Our AI identifies and concentrates liquidity where it's most needed, freeing capital for other growth initiatives.
Reduced Slippage & Better Pricing
Deliver superior trade execution for your users with tighter spreads and lower slippage, improving user retention and attracting high-volume traders.
Proactive Risk Management
Go beyond basic monitoring. Our AI predicts and mitigates risks like flash loan attacks, toxic order flow, and sudden volatility before they impact your pool.
Faster Time-to-Market
Deploy a production-ready, AI-optimized market maker in weeks, not months. We handle the complex ML infrastructure so you can focus on your core product.
Static AMM vs. AI-Optimized AMM: A Performance Comparison
A detailed comparison of building and maintaining a traditional AMM versus leveraging Chainscore's AI-optimized AMM infrastructure, focusing on development effort, operational costs, and performance outcomes.
| Key Factor | Build Static AMM In-House | Chainscore AI-Optimized AMM |
|---|---|---|
Time to Production Launch | 6-12 months | 4-8 weeks |
Initial Development Cost | $200K - $500K+ | $50K - $150K |
Liquidity Efficiency (Capital Utilization) | 10-30% (Fixed Curve) | 45-80% (Dynamic AI) |
Impermanent Loss Mitigation | None (Passive) | AI-Driven Hedging & Rebalancing |
Fee Optimization | Static (e.g., 0.3%) | Dynamic (0.05% - 1.0% based on volatility) |
Security Posture | High Risk (Requires full audit cycle) | Enterprise-Grade (Pre-audited, battle-tested core) |
Ongoing Team & Maintenance | 3-5 Full-Time Engineers | Fully Managed Service (Optional SLA) |
Performance Monitoring & Analytics | Basic (Self-built dashboards) | Advanced AI-Powered Insights & Alerts |
Protocol Upgrade Complexity | High (Hard forks, migrations) | Seamless (Managed rollouts, zero downtime) |
Total Cost of Ownership (Year 1) | $500K - $1M+ | $80K - $200K |
Our Delivery Process: From Strategy to Live Optimization
A structured, four-phase approach to deliver a production-ready, high-performance AMM that drives sustainable liquidity and revenue from day one.
Phase 1: Strategy & Architecture
We analyze your tokenomics, target market, and liquidity requirements to design an optimal AMM strategy. Deliverables include a technical architecture document, bonding curve model, and a detailed project roadmap.
Client Value: Eliminates costly pivots later by establishing a clear, data-backed technical foundation.
Phase 2: Core Development & Simulation
Our engineers build the core smart contracts (Solidity/Rust) and backend oracles. We deploy to a private testnet and run extensive simulations against historical and synthetic market data to stress-test the algorithm.
Client Value: De-risks deployment with proven contract logic and predictable performance under volatile conditions.
Phase 3: Security Audit & Staging
The complete system undergoes a rigorous security audit by our internal team, following OpenZeppelin standards. We then deploy to a public testnet (e.g., Sepolia) for final integration testing and bug bounty preparation.
Client Value: Ensures enterprise-grade security and stability, protecting your treasury and user funds.
Phase 4: Mainnet Launch & Live Optimization
We manage the mainnet deployment and initial liquidity provisioning. Post-launch, our AI monitoring system provides real-time dashboards and automated parameter tuning recommendations to maximize fees and minimize impermanent loss.
Client Value: Transitions you from launch to sustainable growth with data-driven, ongoing optimization.
Service Tiers: Retrofitting vs. Building New
We offer two distinct service tracks for integrating AI-powered liquidity optimization. Choose to enhance your existing DEX or build a new, purpose-optimized AMM from the ground up.
| Capability | Retrofitting Service | New Build Service |
|---|---|---|
Target | Existing DEX (Uniswap V3, Curve, etc.) | New protocol from scratch |
AI Model Integration | Custom adapter for existing pool logic | Native integration into core AMM math |
Time to Live (Est.) | 3-6 weeks | 8-16 weeks |
Smart Contract Audit | Incremental audit of new components | Full protocol audit (CertiK, OpenZeppelin) |
Performance Lift | 15-40% capital efficiency gain | 50-90% capital efficiency target |
Oracles & Data Feeds | Integrates with existing feeds | Custom high-frequency data pipeline setup |
Ongoing AI Training | Model fine-tuning on your pool data | Full lifecycle model training & deployment |
Team Requirements | Your devs provide pool access & specs | Our team handles full stack (backend, contracts, UI) |
Typical Investment | $50K - $150K | $200K - $500K+ |
Frequently Asked Questions on AMM AI Optimization
Get clear, specific answers on our AI-powered market maker optimization service, from development timelines to security and ongoing support.
Our engagement follows a structured 4-phase process designed for transparency and rapid deployment.
- Discovery & Analysis (1 week): We analyze your existing liquidity pools, tokenomics, and target markets to define AI model parameters and KPIs.
- Model Development & Backtesting (2-3 weeks): Our team builds and rigorously backtests the AI/ML models against historical and simulated market data.
- Smart Contract Integration & Audit (1-2 weeks): We deploy the optimized strategy into upgradable smart contracts (typically Solidity) and conduct an internal security review.
- Deployment & Monitoring (1 week): We assist with mainnet deployment and initiate real-time performance monitoring.
A typical project from kickoff to mainnet launch takes 4-6 weeks.
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Our experts will offer a free quote and a 30min call to discuss your project.