We architect and deploy audit-ready smart contracts for tokens, DeFi protocols, and NFT projects. Our engineers write in Solidity 0.8+ and Rust, leveraging battle-tested libraries like OpenZeppelin and Anchor to minimize risk and accelerate your launch.
LABS
Services
Secure AI Model Update Mechanisms
We build on-chain protocols for proposing, voting on, and deploying updates to AI models in decentralized systems. Our solutions verify model integrity and preserve privacy before activation.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3-native engineers.
We deliver a fully tested, documented, and deployable codebase in 2-4 weeks, not just a prototype.
- Security-First Development: Formal verification, comprehensive unit/integration tests, and integration with tools like
SlitherandMythX. - Gas Optimization: Expert-level code to minimize transaction costs and maximize user adoption.
- Full-Stack Integration: Seamless connection to your front-end via
ethers.js,web3.js, orWagmi.
key-features-cards
ARCHITECTURE
Core Components of Our Secure Update Framework
Our framework is engineered for Web3's zero-trust environment, providing a verifiable and immutable pipeline for AI model deployment. Each component is built to eliminate single points of failure and ensure model integrity from training to inference.
benefits
GUARANTEED RESULTS
Business Outcomes for Your Decentralized AI Project
Our secure AI model update mechanisms deliver measurable business value, from accelerated deployment to provable security. See the tangible outcomes for your project.
01
Accelerated Time-to-Market
Deploy a production-ready, secure update framework in under 3 weeks. Our battle-tested templates and modular architecture eliminate months of R&D, letting you launch your AI agent or marketplace faster.
< 3 weeks
Deployment Time
80%
Dev Time Saved
02
Provable Security & Compliance
Mitigate catastrophic failure risks with formally verified update logic and multi-signature governance. Our mechanisms are built to meet enterprise security standards, providing audit trails for regulators and users.
Zero
Critical Bugs Post-Audit
100%
On-Chain Verifiability
03
Reduced Operational Overhead
Eliminate manual coordination and custom scripting for model upgrades. Our automated, permissioned update pipelines reduce DevOps complexity and cut ongoing maintenance costs by over 60%.
60%
Lower Maintenance Cost
1-Click
Update Execution
04
Enhanced User & Investor Trust
Build confidence with transparent, tamper-proof update logs. Users can verify model integrity, while investors see a robust governance framework that protects asset value and ensures protocol longevity.
24/7
Integrity Proofs
Immutable
Audit Trail
05
Future-Proof Architecture
Avoid costly rewrites. Our modular design supports seamless integration of new AI models, consensus mechanisms (like EigenLayer), and data sources, ensuring your infrastructure scales with the ecosystem.
Modular
Design
EIP-2535
Diamond Standard
06
Competitive Differentiation
Go to market with a unique selling proposition: a decentralized AI product with enterprise-grade, secure update capabilities. This technical moat attracts higher-quality users and partners.
Unique
Technical Moat
Enterprise
Grade Feature
Secure AI Model Update Mechanisms
Structured Development Paths
Compare our service tiers for implementing and maintaining secure, on-chain AI model update protocols.
| Capability | Starter | Professional | Enterprise |
|---|---|---|---|
On-Chain Update Registry | |||
Multi-Sig Governance Module | |||
Slashing Mechanism for Malicious Updates | |||
Formal Verification & Audit | Basic | Comprehensive | Comprehensive + Custom |
Integration Support | Documentation | Guided Setup | Dedicated Engineer |
Monitoring & Alerting | Basic Dashboard | Custom Alerts & Logs | 24/7 SOC & Incident Response |
Response Time SLA | Next Business Day | < 4 Hours | |
Supported Chains | EVM (1 Chain) | EVM (Up to 3) | EVM, Solana, Cosmos SDK |
Typical Timeline | 4-6 Weeks | 8-12 Weeks | Custom |
Starting Price | $25,000 | $75,000 | Custom Quote |
how-we-deliver
A SECURE, METHODICAL APPROACH
Our Development and Integration Process
We follow a rigorous, multi-stage process to deliver robust, auditable, and production-ready AI model update mechanisms. This ensures your decentralized application maintains integrity, security, and performance from design to deployment.
05
Staging & Testnet Deployment
Full deployment and integration testing in a staging environment that mirrors mainnet conditions. We conduct exhaustive simulations of update proposals, governance votes, and failure scenarios.
Goerli, Sepolia
Test Networks
> 50
Test Scenarios
06
Mainnet Launch & Monitoring
We manage the secure mainnet deployment and provide 24/7 monitoring dashboards for proposal activity, oracle health, and contract events, ensuring operational transparency from day one.
24/7
Health Monitoring
Prometheus, Grafana
Monitoring Stack
security
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3 veterans.
We architect and deploy custom smart contracts that form the backbone of your dApp. Our code is audit-ready, built on Solidity 0.8+ with OpenZeppelin libraries and rigorous security patterns. > From tokenomics to complex DeFi logic, we translate your business rules into immutable, on-chain functionality.
- Token Standards:
ERC-20,ERC-721,ERC-1155with custom extensions. - DeFi Protocols: Automated Market Makers (AMMs), staking pools, yield aggregators.
- Governance Systems: DAO frameworks, multi-sig wallets, and voting mechanisms.
- Delivery: Includes comprehensive documentation and a security review report.
Secure AI Model Updates
Frequently Asked Questions
Get clear answers on how we build, deploy, and maintain tamper-proof AI model update systems for Web3 applications.
We implement a multi-layered verification system. Core model parameters are hashed and anchored on-chain (e.g., Ethereum, Solana) via a Merkle root. Each update proposal is signed by a decentralized council of keys, requiring a configurable majority (e.g., 4-of-7) for approval. The new model is then deployed to a verifiable compute environment (like an SGX enclave or a zkVM) where inference is performed, with proofs of correct execution submitted on-chain. This ensures the model in production is exactly the one approved by governance.
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