We architect and deploy custom smart contracts for DeFi, NFTs, and enterprise protocols. Our code is built on Solidity 0.8+ with OpenZeppelin security patterns, ensuring reliability from day one.
AI-Powered Asset Valuation & Recommendation Engine
Smart Contract Development
Secure, production-ready smart contracts built by Web3-native engineers.
- Security-First Development: Every contract undergoes formal verification and peer review before deployment.
- Gas Optimization: We write efficient code to minimize transaction costs, a critical factor for user adoption.
- Full Audit Support: We prepare comprehensive documentation for third-party audits and provide post-deployment monitoring.
Deliver a secure, auditable, and scalable foundation for your Web3 product in as little as 2-4 weeks.
Core Engine Capabilities
Our AI-powered engine is built on a production-grade, modular stack designed for real-time performance and enterprise-grade reliability. We deliver the foundational intelligence to power your next-generation DeFi, NFT, and on-chain finance applications.
Real-Time On-Chain Data Processing
Ingest and index live data from 30+ EVM and non-EVM chains with sub-5 second latency. Our proprietary indexing layer ensures your valuation models operate on the freshest market and on-chain activity data.
Multi-Model Valuation Framework
Deploy a hybrid AI engine combining statistical models, on-chain analytics, and machine learning. We tailor the model weights (e.g., DCF, comparables, liquidity scoring) to your specific asset class—from DeFi tokens to NFT collections.
Smart Contract Risk & Security Scoring
Integrate automated security assessments into every valuation. Our engine analyzes contract code, admin privileges, and historical exploit data to generate a quantifiable risk score, protecting your platform from vulnerable assets.
Personalized Recommendation API
Generate dynamic, context-aware asset suggestions via a low-latency GraphQL/REST API. Recommendations are based on user portfolio, risk tolerance, and market conditions, driving engagement and conversion.
Portfolio Simulation & Backtesting
Allow users to simulate portfolio performance with historical what-if analysis. Our engine backtests strategies across multiple market cycles, providing data-driven insights for better investment decisions.
Enterprise-Grade Deployment & Scaling
Deploy as a managed cloud service or within your private VPC. We handle infrastructure scaling, model retraining, and 24/7 monitoring, ensuring consistent performance as your user base grows.
Drive Marketplace Growth and Engagement
Our AI engine transforms passive browsing into active trading by delivering hyper-personalized asset insights and recommendations, directly increasing user retention and transaction volume.
Personalized Asset Discovery
AI-driven recommendation feeds surface relevant NFTs and tokens based on individual user behavior, wallet history, and market trends, increasing discovery-to-purchase conversion by up to 40%.
Dynamic Pricing & Valuation
Real-time, ML-powered fair market valuations for any NFT or token, providing users with confidence and reducing price discovery friction. Integrates on-chain data, rarity, and liquidity metrics.
Automated Portfolio Insights
Deliver actionable insights directly to users' dashboards: unrealized gains, collection rarity scores, and suggested rebalancing actions to drive informed trading decisions.
Predictive Trend Alerts
Proactively notify users of emerging market opportunities, trending collections, or price movements for assets in their watchlist, keeping them engaged and ready to act.
Social & Community Signals
Incorporate sentiment analysis from social platforms and community channels to highlight assets gaining traction, tapping into viral trends to fuel marketplace activity.
Seamless API Integration
Deploy our pre-trained models via a unified GraphQL/REST API. Get production-ready endpoints for recommendations, valuations, and insights without ML team overhead.
Implementation & Pricing Tiers
A phased roadmap detailing the scope, deliverables, and support levels for our AI-Powered Asset Valuation & Recommendation Engine, from initial integration to full-scale enterprise deployment.
| Capability & Support | Proof-of-Concept | Production Launch | Enterprise Scale |
|---|---|---|---|
Core Valuation Engine Integration | |||
Custom Recommendation Algorithms | |||
Multi-Chain Data Ingestion (ETH, SOL, etc.) | 2 Networks | 5 Networks | Unlimited |
Real-time Price & Sentiment Feeds | |||
API Access & Documentation | Read-Only | Full Suite | Full Suite + Webhooks |
Model Training & Fine-Tuning | Pre-trained Models | Sector-Specific Tuning | Fully Custom Models |
Dedicated Technical Support | Slack Channel | 24/7 Dedicated Engineer | |
SLA for System Uptime | 99.5% | 99.9% | 99.99% |
Implementation Timeline | 2-4 Weeks | 4-8 Weeks | 8-12 Weeks |
Engagement Model | Fixed Scope | Managed Project | Custom Partnership |
Starting Price | $25K | $75K | Custom Quote |
Our Development and Integration Process
A structured, four-phase approach to deliver a production-ready AI engine integrated with your existing DeFi or NFT platform. We focus on clear milestones, transparent communication, and predictable outcomes.
Discovery & Data Strategy
We conduct a technical deep-dive to map your asset ecosystem and define data requirements. We establish pipelines for on-chain data (EVM, Solana, Cosmos) and off-chain sources to fuel the AI models.
Model Development & Training
Our data scientists build and train custom ML models (e.g., LSTMs, GNNs) on your proprietary dataset. We implement rigorous backtesting against historical market cycles to validate predictive accuracy.
Smart Contract & API Integration
We deploy the trained model as a secure, gas-optimized on-chain oracle or a high-availability REST/WebSocket API. Integration includes front-end widgets for portfolio dashboards or trading interfaces.
Deployment & Continuous Optimization
We manage the production deployment on your infrastructure (AWS/GCP) or ours, with 24/7 monitoring. The model undergoes continuous learning with new market data, with performance reports delivered monthly.
Frequently Asked Questions
Get clear answers on how our AI-powered asset valuation and recommendation engine works, from deployment to ongoing support.
Our engine uses a multi-model ensemble approach, combining on-chain data (liquidity, transaction history, holder distribution) with off-chain sentiment and market data. We implement rigorous backtesting against historical price action and employ adversarial validation to detect and mitigate data bias. All models are built on transparent, auditable frameworks, and we provide explainability reports for key valuation outputs.
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.