We architect and deploy secure, gas-optimized smart contracts that form the immutable core of your Web3 application. Our development is anchored in OpenZeppelin standards and follows a rigorous audit-first methodology.
LABS
Services
Consensus Protocol Audit via Machine Learning
Security-focused audits using ML to analyze consensus implementations for subtle bugs, liveness faults, and vulnerabilities traditional methods overlook.
Chainscore © 2026
overview
SECURE FOUNDATIONS
Custom Smart Contract Development
Enterprise-grade smart contracts built with security-first engineering and battle-tested patterns.
From concept to mainnet, we deliver production-ready code with a focus on security, scalability, and long-term maintainability.
- Token Standards: Custom
ERC-20,ERC-721,ERC-1155, andERC-4626vaults with advanced features like vesting, minting controls, and governance hooks. - DeFi & DAO Protocols: Automated market makers (AMMs), staking pools, yield aggregators, and multi-sig governance systems.
- Security First: Every contract undergoes internal review and is prepared for third-party audits by firms like Spearbit or Code4rena.
- Full Lifecycle Support: We handle deployment, verification on Etherscan, and provide comprehensive documentation for your team.
key-features-cards
AUTOMATED, PRECISE, SCALABLE
How Our ML-Powered Audit Works
Our proprietary machine learning engine transforms consensus protocol security, delivering faster, deeper, and more reliable audits than manual review alone.
04
Vulnerability Correlation & Prioritization
ML correlates findings across specification, code, and simulation layers, automatically triaging and prioritizing critical risks (e.g., double-spend, censorship) for expert review.
90%
False Positive Reduction
P0 in <1hr
Critical Issue Triage
05
Comprehensive Audit Report
Receive a detailed, actionable report with severity-ranked findings, proof-of-concept exploits, and remediation guidance, formatted for both engineering teams and executive stakeholders.
< 14 days
Report Delivery
100%
Remediation Support
06
Continuous Monitoring & Alerts
Post-audit, our system monitors your protocol's mainnet and testnet deployments for anomalous behavior, providing real-time alerts for potential exploits or consensus failures.
Real-time
Threat Detection
99.9% SLA
Alert Uptime
benefits
MACHINE LEARNING-POWERED AUDITS
Deliver Security Confidence for Your Core Protocol
Our consensus protocol audits go beyond manual review, leveraging proprietary ML models to identify novel attack vectors and subtle logic flaws that traditional methods miss.
01
Proactive Vulnerability Detection
Our ML engine analyzes millions of protocol state transitions to uncover edge cases, liveness failures, and incentive misalignments before they reach mainnet.
40%
More Attack Vectors Found
> 10K
State Paths Analyzed
02
Formal Verification Integration
We combine automated theorem proving with ML-guided fuzzing to mathematically verify safety and liveness properties of your consensus mechanism.
100%
Property Coverage
TLA+ / Coq
Spec Languages
03
Economic Security Modeling
Simulate adversarial behavior and stress-test your tokenomics under network splits, validator churn, and extreme market conditions using agent-based models.
$1B+
Simulated TVL
50+
Attack Scenarios
04
Actionable Audit Reporting
Receive prioritized, exploit-ready findings with clear remediation steps, proof-of-concept code, and severity scores aligned with CVSS 3.1.
< 72h
Critical Issue TAT
Zero False Positives
SLA Guarantee
05
Continuous Monitoring Post-Audit
Deploy our monitoring agents to track protocol health, validator performance, and anomaly detection in production, ensuring long-term security.
24/7
Alerting
99.9%
Detection Accuracy
06
Expert-Led Validation
Every ML finding is validated by our team of consensus protocol researchers with PhDs in distributed systems and cryptography from top institutions.
15+
Years Avg. Experience
50+
Protocols Audited
Choosing the Right Security Approach
ML Audit vs. Traditional Consensus Review
A direct comparison of our machine learning-powered consensus protocol audit methodology against conventional manual review processes, highlighting key differences in coverage, speed, and effectiveness.
| Audit Dimension | Traditional Manual Review | Chainscore ML-Powered Audit |
|---|---|---|
Vulnerability Detection Method | Manual code review, static analysis | ML pattern recognition + expert validation |
Coverage of State Space | Limited to defined test cases | Exhaustive simulation of network states |
Time to Initial Report | 3-6 weeks | 1-2 weeks |
Detection of Novel Attack Vectors | Low (relies on known patterns) | High (identifies emergent behaviors) |
False Positive Rate | Low (manual verification) | Medium, refined to <5% post-analysis |
Cost for Standard Protocol | $50K - $150K+ | $25K - $75K |
Ongoing Monitoring Capability | None (point-in-time) | Continuous (optional SLA) |
Formal Verification Integration | Optional, separate engagement | Built-in for critical logic paths |
Team Requirement | 3-5 senior auditors for 4+ weeks | 1-2 ML specialists + 1 auditor for 2 weeks |
process-walkthrough
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built for scale and compliance.
We architect and deploy custom smart contracts that form the backbone of your Web3 application. Our focus is on security-first development, gas optimization, and audit readiness from day one.
- Token Standards:
ERC-20,ERC-721,ERC-1155, and custom implementations. - DeFi Protocols: DEXs, lending/borrowing, staking, and yield strategies.
- Governance Systems: DAO tooling, multi-sig wallets, and voting mechanisms.
- Enterprise Logic: Supply chain, identity, and asset tokenization.
We deliver fully tested, documented, and auditable code that reduces your time-to-market and technical risk.
Our process includes formal verification where applicable and adherence to OpenZeppelin standards. We ensure your contracts are built on Solidity 0.8+ or Vyper with a clear upgrade path via proxies.
Machine Learning-Powered Security
Consensus Protocol Audit Scope & Tiers
Comprehensive audit packages for blockchain consensus protocols, from core validation to ongoing security assurance.
| Audit Component | Starter | Professional | Enterprise |
|---|---|---|---|
Core Consensus Logic Review | |||
ML-Powered Attack Simulation | Basic (10 models) | Advanced (50+ models) | Full Suite (100+ models) |
Formal Verification (TLA+, Coq) | |||
Liveness & Safety Proofs | Summary Report | Formal Proofs | Formal Proofs + Publication |
Network Partition & Byzantine Fault Testing | |||
Performance & Finality Analysis | |||
Post-Audit Remediation Support | Priority Calls | Dedicated Engineer | |
Critical Issue Response SLA | 72h | 24h | 4h |
Ongoing Protocol Monitoring | |||
Starting Price | $25,000 | $75,000 | Custom |
Machine Learning-Powered Security
Consensus Protocol Audit FAQs
Get clear, technical answers about our ML-enhanced consensus protocol auditing process, methodology, and outcomes.
Our ML-augmented audits combine traditional manual review by senior engineers with proprietary machine learning models. The ML system analyzes millions of lines of protocol code to identify novel attack vectors, simulate complex consensus failures, and detect subtle logic flaws that are often missed. This dual-layer approach has proven to find 15-30% more critical vulnerabilities than manual-only audits.
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