We architect and deploy custom smart contracts that form the backbone of your Web3 application. Our development process is built on security-first principles, utilizing battle-tested patterns from OpenZeppelin and rigorous internal audits.
LABS
Services
Privacy-First Blockchain Gaming AI Integration
Deploy AI-driven NPCs, dynamic content, and anti-cheat systems for your blockchain game. We use ZK proofs and secure enclaves to keep logic private, data secure, and outcomes verifiable on-chain.
Chainscore © 2026
overview
CORE SERVICES
Custom Smart Contract Development
Secure, production-ready smart contracts built to your exact specifications.
- Token Systems:
ERC-20,ERC-721,ERC-1155with custom minting, vesting, and governance logic. - DeFi Protocols: Automated Market Makers (AMMs), lending/borrowing pools, and yield optimizers.
- Enterprise Logic: Multi-signature wallets, supply chain tracking, and verifiable credentials.
We deliver fully documented, gas-optimized contracts with a 2-week MVP timeline for standard implementations. Every contract undergoes a security review before deployment to
EVM-compatible chains like Ethereum, Polygon, or Arbitrum.
key-features-cards
ENGINEERED FOR PRIVACY AND PERFORMANCE
Core Technical Capabilities
Our specialized stack delivers the secure, scalable infrastructure required for next-generation blockchain gaming with AI integration. We focus on verifiable outcomes: faster time-to-market, robust security, and seamless user experiences.
benefits
DELIVERABLES
Business Outcomes for Game Studios
We translate privacy-first AI integration into concrete business results. Here’s what you can expect when partnering with Chainscore Labs.
01
Reduced Player Acquisition Costs
Leverage on-chain behavioral data and privacy-preserving AI to identify high-value player segments with 40% greater precision, optimizing your marketing spend.
40%
Higher Precision
6-8 weeks
Integration Time
02
Enhanced In-Game Monetization
Deploy AI-driven dynamic NFT economies and personalized asset generation, increasing average revenue per user (ARPU) through tailored, tradable in-game items.
Dynamic Pricing
AI Models
ERC-1155/6551
Asset Standards
03
Provably Fair & Transparent Gameplay
Integrate zero-knowledge proofs for verifiable RNG and anti-cheat mechanisms, building player trust and meeting regulatory scrutiny for competitive and gambling-adjacent titles.
zk-SNARKs
Proof System
Audit-Ready
Codebase
04
Faster Time-to-Market
Utilize our pre-audited, modular smart contract libraries and AI agent frameworks to launch your Web3 game features in weeks, not months.
< 4 weeks
Core Integration
Modular
Architecture
05
Sustainable Player Retention
Implement AI-powered quests and rewards that adapt to individual player behavior, powered by private data analysis, to increase 30-day retention rates.
Adaptive Quests
AI-Driven
On-Chain Reputation
Player Profiles
06
Future-Proof Compliance
Build with privacy-by-design using decentralized identity (DID) and consent management, ensuring your game is prepared for global data regulations like GDPR.
DID/VC Standards
Compliance Ready
Data Sovereignty
For Players
The Infrastructure Decision
Build vs. Buy: AI Integration for Blockchain Games
A clear comparison of the time, cost, and risk involved in developing AI infrastructure in-house versus leveraging Chainscore's privacy-first AI integration platform.
| Key Factor | Build In-House | Chainscore Platform |
|---|---|---|
Time to First Integration | 6-12+ months | 2-4 weeks |
Initial Development Cost | $250K - $750K+ | $25K - $75K |
Security & Compliance Risk | High (custom, unaudited) | Low (audited, privacy-by-design) |
AI Model Flexibility | Fixed to initial design | Modular, swap models via API |
On-Chain Privacy Guarantee | Custom implementation required | Built-in (ZK-proofs, MPC) |
Ongoing AIOps & MLOps | Dedicated team required | Fully managed service |
Cross-Chain Player Data Sync | Complex custom development | Pre-built connectors |
Total Cost of Ownership (Year 1) | $400K - $1M+ | $75K - $200K |
how-we-deliver
PROVEN FRAMEWORK
Our Integration Methodology
A structured, security-first approach to integrating AI agents into your blockchain gaming ecosystem without compromising user privacy or game integrity.
01
Architecture & Threat Modeling
We design a zero-trust architecture for AI agents, isolating them from sensitive player data and on-chain assets. Threat modeling identifies attack vectors before a single line of code is written.
100%
Data Isolation
OWASP Top 10
Compliance
02
Smart Contract Integration
Deploy custom, gas-optimized smart contracts for AI agent interaction. Includes verifiable randomness (Chainlink VRF), secure asset escrow, and permissioned agent registries.
OpenZeppelin
Audited Libraries
< 0.01 ETH
Avg. Tx Cost
03
Agent Orchestration Layer
Build the backend logic that securely routes game state to AI models and returns actions. Features include rate limiting, input sanitization, and deterministic execution proofs.
< 100ms
P50 Latency
99.95%
Uptime SLA
04
Privacy-Preserving Compute
Implement confidential computing techniques (e.g., TEEs, MPC) or zero-knowledge proofs to allow AI agents to process game logic without accessing raw player data.
FHE/MPC/TEE
Tech Stack
0 Data Exposure
Guarantee
05
Testing & Simulation
Rigorous testing in a forked mainnet environment. We simulate thousands of agent interactions to stress-test economic models, identify exploits, and ensure game balance.
10K+
Simulation Runs
Full Coverage
Edge Cases
06
Deployment & Monitoring
Managed deployment to your chosen infrastructure (AWS/GCP/Azure) with real-time monitoring dashboards for agent performance, cost metrics, and security alerts.
< 2 Weeks
To Production
24/7
Alerting
tech-stack
BUILT FOR PRIVACY AND SCALE
Proven Technology Stack
We deliver a battle-tested, modular stack that integrates privacy-preserving AI into your game's core loop, ensuring performance, security, and a seamless player experience.
Privacy-First Gaming AI
Frequently Asked Questions
Get clear answers on integrating AI with on-chain gaming while preserving user privacy and performance.
Our engagement follows a structured 4-phase process: 1) Discovery & Architecture – we analyze your game mechanics and define the AI model's role. 2) Privacy-First Design – we architect the solution using zero-knowledge proofs (ZKPs) or fully homomorphic encryption (FHE) to keep user data private. 3) Development & Integration – we build and train the AI models (e.g., for NPC behavior, dynamic economies) and integrate them with your smart contracts via secure oracles. 4) Testing & Deployment – rigorous testing on testnets precedes mainnet launch. We've delivered 12+ such integrations with an average deployment time of 6-8 weeks.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall