We architect and deploy audited, gas-optimized smart contracts that form the backbone of your Web3 application. Our focus is on security-first development using battle-tested patterns from OpenZeppelin and rigorous internal testing to mitigate risks before deployment to EVM or Solana networks.
LABS
Services
DAO-Based Community Moderation AI Training
We build systems where DAO communities collectively label data and govern the training of AI moderation models, ensuring alignment with community standards.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built for scale and compliance.
- Custom Logic: Tailored
SolidityorRustcontracts for DeFi, NFTs, DAOs, and enterprise use cases. - Full Audit Support: Comprehensive testing suite and preparation for third-party audits from firms like CertiK or Quantstamp.
- Gas Optimization: Code engineered for minimum transaction costs and maximum user savings.
- Upgradeability & Management: Implementation of secure proxy patterns (
ERC-1967) for future-proof systems.
We deliver production-grade contracts in 2-4 weeks, providing a secure foundation that accelerates your time-to-market while protecting your users and assets.
key-features-cards
ARCHITECTURE
Core System Capabilities
Our modular DAO-based AI training platform is built on battle-tested infrastructure, delivering secure, scalable, and transparent community governance for your moderation models.
benefits
DELIVERABLES & METRICS
Business Outcomes for Your Platform
Our DAO-Based Community Moderation AI Training service delivers measurable improvements in platform governance, content quality, and user trust. Here are the concrete outcomes you can expect.
01
Automated High-Quality Data Labeling
We deploy a DAO-powered system where your community labels training data, generating thousands of high-quality, context-rich annotations per day. This reduces your data acquisition costs by up to 70% compared to centralized labeling services.
70%
Cost Reduction
10k+
Labels/Day
02
Bias-Resistant AI Models
Our decentralized governance framework ensures training data and model updates are validated by a diverse, incentivized community. This produces moderation AIs with significantly lower systemic bias, increasing user trust and platform fairness scores.
40%
Bias Reduction
DAO-Governed
Validation
03
Scalable & Transparent Governance
Implement a token-curated registry (TCR) for labelers and an on-chain voting mechanism for model upgrades. This creates a fully auditable, self-sustaining system that scales with your community without centralized oversight bottlenecks.
On-Chain
Audit Trail
< 2 weeks
Governance Setup
04
Reduced Moderation Operational Load
Deploy AI agents trained on community-verified data to automatically handle up to 85% of routine moderation tasks (spam, basic policy violations). This allows your human moderators to focus on complex edge cases and community engagement.
85%
Tasks Automated
24/7
Coverage
05
Enhanced Community Engagement & Ownership
Reward users with tokens or reputation for contributing to the AI's training, turning moderation from a cost center into an engagement engine. Active contributors show a 3x increase in platform retention.
3x
User Retention
Token-Incentivized
Participation
06
Auditable Compliance & Security
Every training data point and model parameter update is recorded on-chain (using Layer 2 for cost efficiency). This provides an immutable record for compliance audits and ensures the system's logic is transparent and verifiable.
Immutable
On-Chain Logs
L2 Optimized
Cost Structure
Architectural Comparison
DAO Governance vs. Traditional AI Moderation
A technical breakdown of how decentralized, community-driven AI training fundamentally differs from centralized, opaque moderation systems.
| Governance Factor | Traditional AI Moderation | DAO-Based Community Moderation |
|---|---|---|
Model Training Data Source | Internal Teams / Vendors | Direct Community Contributions |
Bias & Fairness Audit | Opaque / Proprietary | Transparent, On-Chain Voting |
Update & Iteration Speed | Quarterly / Yearly Cycles | Continuous, Proposal-Based |
Cost of Governance | High (Centralized Ops) | Token-Incentivized Community |
Censorship Resistance | Low (Central Point of Control) | High (Decentralized Consensus) |
Adaptability to New Threats | Slow (Manual Review) | Rapid (Community-Submitted Rules) |
Stakeholder Alignment | Corporate Profit Motive | Protocol & Community Health |
Transparency Score | Low | High (Fully Verifiable) |
Typical Implementation Time | 6-12 months | 8-16 weeks with Chainscore |
Long-Term Viability | Vendor Lock-in Risk | Community-Owned & Operated |
how-we-deliver
PROVEN METHODOLOGY
Our Development & Integration Process
We deliver production-ready, secure DAO moderation AI systems through a structured, transparent process that minimizes your technical risk and accelerates time-to-market.
04
4. Frontend & User Experience
We develop a custom, intuitive dApp interface for community members to submit content, view AI moderation decisions, and participate in governance proposals and voting.
05
5. Security Hardening & Penetration Testing
The complete system undergoes rigorous security reviews, including smart contract fuzzing, frontend penetration testing, and infrastructure security audits before mainnet deployment.
06
6. Deployment & Ongoing Support
We manage the mainnet deployment, provide comprehensive documentation, and offer ongoing technical support and upgrade management for your live DAO moderation system.
security-architecture
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by certified auditors for DeFi, NFTs, and enterprise applications.
We deliver audit-ready code from day one. Every contract is built on Solidity 0.8+ with OpenZeppelin standards, incorporating security-first patterns to mitigate reentrancy, overflow, and access control risks. Our development process includes formal verification and integration with tools like Slither and MythX.
Reduce your time-to-audit by 40% and launch with confidence.
Our full-service delivery includes:
- Custom Logic: Tailored
ERC-20,ERC-721,ERC-1155, and bespoke tokenomics. - Gas Optimization: Achieve up to 30% lower transaction costs through efficient bytecode and storage patterns.
- Comprehensive Testing: Unit, integration, and fork-testing on
Mainnetand testnets. - Deployment & Verification: Full support for deployment on
EVMchains (Ethereum,Polygon,Arbitrum) with source code verification on block explorers.
DAO-Based Community Moderation AI Training
Frequently Asked Questions
Get clear answers on how we build, deploy, and maintain AI moderation systems governed by your community.
Our engagement follows a structured 4-phase methodology: 1) Discovery & DAO Integration – We map your community's rules, values, and governance structure. 2) Data Curation & Model Design – We work with your community to label data and architect the AI model (e.g., LLM fine-tuning, classifier training). 3) Smart Contract & Frontend Development – We build the on-chain governance layer for model updates and the user interface for reporting/appeals. 4) Deployment & Training – We deploy the system and conduct iterative training cycles with live community feedback. A typical project involves 2-3 sprints of community co-creation.
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