Secure, audited smart contract systems built for production at scale.
We architect and deploy custom smart contracts that form the secure backbone of your Web3 product. Our development process is built for enterprise-grade security and mainnet readiness from day one.
Solidity 0.8+, Hardhat, and audited OpenZeppelin libraries.We don't just write code; we deliver battle-tested, secure infrastructure that protects your users and your reputation.
Our deliverables are designed for seamless integration:
UUPS/Transparent Proxy).EVM-compatible networks.A systematic, multi-layered approach designed to meet financial regulatory standards, ensuring your zkML circuits are mathematically sound, computationally secure, and production-ready.
We rigorously verify the underlying mathematical models and logic of your zkML circuits against the original ML specifications. This ensures the zero-knowledge proof accurately represents the intended computation without hidden flaws.
Deep audit of cryptographic primitives (e.g., elliptic curves, hash functions), proof system parameters, and trusted setup assumptions. We identify vulnerabilities like soundness errors and side-channel risks to prevent proof forgery.
Line-by-line review of circuit code (Circom, Noir, Halo2) for logical bugs, arithmetic overflows, and constraint system correctness. We enforce best practices to eliminate common pitfalls in zk-SNARK/STARK development.
We test the integrated system end-to-end, simulating adversarial inputs and edge cases. This validates the on-chain verifier contract, proof generation pipeline, and data feed oracles for real-world resilience.
We benchmark proof generation time, verification gas costs, and on-chain footprint against industry standards. Our reports include compliance mapping for financial use cases, detailing audit trails and reproducibility.
We provide prioritized remediation guidance and re-audit critical fixes. The process concludes with a formal, detailed audit report and a security attestation suitable for regulatory submissions and stakeholder assurance.
A Chainscore regulatory-grade zkML audit delivers more than a compliance checklist. It provides the technical evidence and market confidence required to scale in regulated environments.
Secure the formal audit reports and cryptographic proofs required for licensing applications and regulatory approvals in key jurisdictions like the EU (MiCA) and Singapore.
Provide verifiable, zero-knowledge proof of model integrity and fairness to institutional investors, banking partners, and enterprise clients during due diligence.
Establish a documented, expert-reviewed defense against claims of model bias, discrimination, or non-compliance, significantly reducing legal and reputational exposure.
Automate compliance monitoring with on-chain zk proofs, eliminating manual reporting overhead and enabling real-time auditability for scaling operations.
Differentiate your DeFi, on-chain credit, or insurance product with transparent, provably fair AI/ML logic, directly increasing user trust and adoption rates.
Build on a zkML architecture designed for evolving global regulations, ensuring long-term compliance and avoiding costly technical debt or re-audits.
Our specialized audits provide the cryptographic proof and regulatory-grade documentation required for financial services, healthcare, and identity verification applications. We translate complex zkML models into verifiable compliance artifacts.
We produce audit-ready documentation including formal verification reports, compliance matrices, and cryptographic proof logs. This package satisfies requirements for financial regulators (SEC, FINRA, MiCA) and data protection standards (GDPR, HIPAA).
Mathematical proof of correctness for your zk-SNARK/STARK circuits and model logic. We verify that the on-chain inference matches the off-chain training, eliminating model manipulation risks critical for credit scoring and fraud detection systems.
Comprehensive testing against model evasion, data poisoning, and proof forgery attacks specific to ML in zero-knowledge environments. We simulate real-world attack vectors to ensure model integrity under adversarial conditions.
Analysis and recommendations for minimizing zkML proof generation costs and on-chain verification gas fees. Critical for scalable applications in decentralized trading, insurance, and real-time KYC checks.
Audit of zkML architecture to ensure user data (PII, financial records, health data) never leaves the client device. We verify the zero-knowledge property and map data flows to privacy regulation requirements.
End-to-end security review of the full stack: from the ML model framework (PyTorch, TensorFlow) and zk compiler (EZKL, RISC Zero) to the on-chain verifier contract and frontend oracle.
Our tiered zkML auditing framework is designed to match the risk profile and stage of your project, from pre-launch validation to enterprise-grade compliance.
| Audit Scope & Deliverables | Starter | Professional | Enterprise |
|---|---|---|---|
zkCircuit Logic Review | |||
Prover & Verifier Contract Audit | |||
Formal Verification Report | |||
Regulatory Compliance Checklist (FATF, MiCA) | |||
Remediation Support & Re-audit | 1 round | 2 rounds | Unlimited |
Time to Report | 10 business days | 7 business days | 5 business days |
Post-Audit Advisory & Monitoring | 6 months | 12 months + SLA | |
Dedicated Security Lead | |||
On-Call Incident Response | |||
Starting Investment | $25,000 | $75,000 | Contact for Quote |
Secure, gas-optimized smart contracts built to your exact specifications.
We architect and deploy production-ready smart contracts that form the immutable backbone of your Web3 application. Our development process is built on security-first principles, utilizing OpenZeppelin libraries and comprehensive audit workflows to mitigate risk from day one.
ERC-20 tokens and ERC-721 NFTs to complex DeFi protocols and DAO governance systems.Solidity code is written for efficiency, reducing user transaction costs by up to 40%.Deploy a battle-tested, audited smart contract suite in as little as 2-4 weeks, accelerating your time-to-market while ensuring foundational security.
Get clear answers on our methodology, timeline, and security standards for auditing zero-knowledge machine learning systems.
We employ a four-phase, defense-in-depth methodology tailored for zkML's unique risks.
Our experts will offer a free quote and a 30min call to discuss your project.