AI-Powered Smart Contract Optimization: Secure, Efficient, Unbreakable.
Go beyond manual audits. We leverage advanced AI to slash gas fees, eliminate critical vulnerabilities, and ensure your smart contracts perform flawlessly under pressure.
Build user trust and protect your assets with code that's not just audited, but intelligently optimized.
Why Errna for AI-Powered Contract Optimization?
We move beyond checklists. Our proprietary AI models and expert oversight provide a level of security and efficiency that standard audits simply cannot match.
Proactive Threat Hunting
Instead of just reacting to known exploits, our AI proactively simulates novel attack vectors and economic exploits, identifying threats before they're publicly known. We secure your protocol against the unknown.
Deep Gas Optimization
We analyze every function down to the opcode level, identifying and refactoring inefficient code patterns. The result is tangible savings on every transaction, enhancing user experience and protocol viability.
Human-in-the-Loop AI
Our AI provides the data; our world-class blockchain experts provide the context. Every AI-driven recommendation is validated by a human expert to ensure it aligns with your business logic and security posture.
Comprehensive Formal Verification
We use AI-assisted formal verification to mathematically prove that your smart contract behaves exactly as intended under all possible conditions, eliminating entire classes of potential bugs and exploits.
Quantifiable ROI
Our optimizations deliver a clear return on investment by preventing catastrophic financial losses from hacks, reducing operational costs through lower gas fees, and increasing user trust and platform adoption.
Enterprise-Grade Security
With CMMI Level 5, ISO 27001, and SOC2 certifications, we adhere to the highest standards of security and process maturity, ensuring your intellectual property is always protected.
Our AI-Powered Smart Contract Optimization Services
We offer a comprehensive suite of services designed to secure, streamline, and future-proof your decentralized applications. Our AI-driven approach covers every phase of the smart contract lifecycle.
AI-Powered Vulnerability Scanning
Utilizes machine learning models trained on thousands of audited contracts to detect common and obscure vulnerabilities with unparalleled accuracy.
- Detects reentrancy, integer overflows/underflows, and front-running risks.
- Identifies unsafe delegate calls and access control flaws.
- Provides actionable code snippets for immediate remediation.
Predictive Threat Modeling
Our AI simulates potential economic exploits and attack vectors specific to your protocol's logic, going beyond standard code analysis.
- Models flash loan attacks and oracle manipulation scenarios.
- Analyzes tokenomics for potential inflationary or deflationary exploits.
- Stress-tests governance mechanisms against hostile takeovers.
Automated Security Patching
For identified vulnerabilities, our AI can suggest or automatically generate secure, optimized code patches for review and implementation.
- Generates patches that follow industry best practices like Checks-Effects-Interactions.
- Ensures patches do not introduce new vulnerabilities.
- Drastically reduces the time from vulnerability discovery to resolution.
Smart Contract Fuzzing
We employ AI-guided fuzzing techniques that intelligently generate a wide range of unexpected inputs to uncover hidden bugs and edge-case failures.
- Targets complex functions and state transitions.
- Uncovers bugs that static analysis tools might miss.
- Provides detailed reports on inputs that cause contract failure.
Access Control Anomaly Detection
Our AI models analyze your contract's roles and permissions to identify potential privilege escalation paths or unauthorized function access points.
- Flags functions that are unintentionally public.
- Detects inconsistencies in `onlyOwner` or role-based modifiers.
- Ensures the principle of least privilege is correctly implemented.
Gas Fee Consumption Analysis
Our tools provide a function-by-function breakdown of gas costs, pinpointing the most expensive operations in your contract.
- Identifies inefficient loops and storage operations (SSTORE).
- Suggests optimal data types to minimize storage costs.
- Provides a "Gas Hotspot" map of your entire contract suite.
AI-Driven Code Refactoring
Recommends specific code changes, from simple variable packing to complex algorithmic improvements, to reduce gas consumption without altering logic.
- Optimizes data structures for cheaper access and modification.
- Recommends using memory or calldata instead of storage where appropriate.
- Suggests more efficient bitwise operations and assembly-level tweaks.
Transaction Throughput Simulation
We model how your contracts will perform under high network congestion and transaction volume, identifying potential bottlenecks.
- Analyzes the impact of state growth on transaction costs over time.
- Simulates performance on various Layer 2 solutions.
- Provides strategies for maintaining low costs and high speed at scale.
Storage Optimization
AI-powered analysis of how your contract utilizes blockchain storage, providing strategies to minimize this expensive resource.
- Identifies opportunities for struct packing to fit data into fewer storage slots.
- Recommends using events for data that doesn't need to be on-chain.
- Analyzes data access patterns to design more efficient storage layouts.
Opcode-Level Analysis
Our AI disassembles your contract's bytecode to analyze the efficiency of the compiled code, identifying optimizations missed by the Solidity compiler.
- Detects redundant JUMP instructions or inefficient stack management.
- Suggests compiler settings for optimal bytecode generation.
- Provides insights for developers using Yul or inline assembly.
AI-Assisted Formal Verification
We use AI to help define and prove mathematical properties about your contract's behavior, ensuring it is logically sound and free from unintended states.
- Proves that token supply cannot be minted or burned improperly.
- Verifies that critical invariants (e.g., `totalAssets == totalLiabilities`) always hold true.
- Ensures state machine transitions are always valid and secure.
Business Logic Validation
Our AI compares the implemented code against your technical specifications and business requirements to flag any discrepancies or logical gaps.
- Ensures fee calculations and fund distributions match the whitepaper.
- Verifies that vesting schedules and token locks are implemented correctly.
- Checks for edge cases in business logic that could lead to exploits.
Upgradability Pattern Analysis
We analyze your proxy patterns (e.g., UUPS, Transparent) to ensure they are implemented securely and will not lead to storage collisions or function clashes.
- Detects potential vulnerabilities in initialization functions.
- Ensures proper access control on upgrade and admin functions.
- Verifies that storage layouts are compatible between versions.
Regulatory Compliance Checks
Our system cross-references contract functions against known regulatory frameworks (e.g., for securities, AML) to identify potential compliance risks.
- Flags functions that might classify a token as a security.
- Identifies lack of necessary KYC/AML hooks in permissioned systems.
- Checks for compliance with standards like ERC-20, ERC-721, etc.
Third-Party Integration Auditing
AI-driven analysis of how your contracts interact with external protocols like oracles, DEXs, and lending platforms to identify integration risks.
- Detects over-reliance on a single price oracle.
- Analyzes potential composability risks and reentrancy through external calls.
- Ensures correct handling of return values from third-party contracts.
Real-World Impact of AI Optimization
See how our AI-driven approach has delivered measurable results for our clients.
DeFi Lending Protocol: Preventing a $10M Exploit
Industry: Decentralized Finance (DeFi)
Client Overview: A fast-growing DeFi protocol with over $50M in TVL. They needed to ensure their new, complex money market contracts were secure and gas-efficient before their mainnet launch to build user trust and handle high transaction volumes.
"Errna's AI didn't just find bugs; it found a critical economic exploit that every manual audit had missed. They saved us from a potential multi-million dollar disaster. Their gas optimizations also made our platform 30% cheaper to use than our main competitor." - Founder, DeFi Protocol
Key Challenges:
- Complex interest rate calculations and asset collateralization logic.
- Risk of flash loan attacks manipulating asset prices.
- High gas fees for core functions like borrowing and repaying.
- Ensuring mathematical correctness of all financial models on-chain.
Our AI-Powered Solution:
- Deployed predictive threat modeling to simulate flash loan attacks, uncovering a critical vulnerability in their price oracle integration.
- Utilized AI-driven code refactoring to optimize storage and loops in the interest rate calculation module.
- Applied formal verification to mathematically prove that the total collateral value would always exceed total debt under all conditions.
- Generated a "Gas Hotspot" report, leading to targeted optimizations that simplified user interactions.
Enterprise Supply Chain: Slashing Transaction Costs
Industry: Logistics & Manufacturing
Client Overview: A Fortune 500 company implementing a private blockchain to track high-value goods from factory to consumer. With thousands of tracking updates per day, the cumulative cost of transactions was a major concern for scalability.
"We needed blockchain's transparency, but the transaction costs were prohibitive at our scale. Errna's AI team optimized our contracts to a level we didn't think was possible, making the entire project financially viable. Their process was rigorous and professional." - VP of Innovation, Logistics Corp
Key Challenges:
- High volume of state-changing transactions (e.g., updating shipment status).
- Complex access control logic for various stakeholders (manufacturer, shipper, retailer).
- Need for data integrity and auditability across the entire supply chain.
- Ensuring low-latency updates for real-time tracking.
Our AI-Powered Solution:
- Focused on storage optimization, using AI to recommend a new data structure that packed shipment data into fewer storage slots.
- Refactored status update functions to use events for historical logging instead of expensive on-chain storage.
- Analyzed access control patterns to simplify modifier logic, reducing the gas cost of every permissioned transaction.
- Simulated network performance at 10x the expected load to guarantee scalability and cost-effectiveness.
NFT Marketplace: Securing User Assets
Industry: Web3 / Digital Collectibles
Client Overview: A startup launching a next-generation NFT marketplace with novel features like fractionalization and staking. Security was their number one priority to attract high-value artists and collectors.
"In the NFT space, one hack can destroy your brand forever. Errna gave us the confidence to launch. Their AI audit was incredibly thorough, and their team explained every finding clearly. We now market our platform as one of the most secure in the industry." - CEO, NFT Platform
Key Challenges:
- Protecting against reentrancy attacks during auction and bidding processes.
- Ensuring compliance with both ERC-721 and ERC-1155 standards.
- Secure implementation of staking and rewards distribution logic.
- Preventing malicious use of `setApprovalForAll` to steal assets.
Our AI-Powered Solution:
- Conducted an in-depth vulnerability scan that identified a subtle reentrancy vector in their auction contract's refund mechanism.
- Used AI-guided fuzzing to test the fractionalization logic with extreme values, uncovering an integer overflow bug.
- Validated their staking contract's logic with formal verification to prove that reward calculations were always fair and accurate.
- Provided an automated security patch for the identified reentrancy bug, which was reviewed and implemented in hours.
Our Technology & Tools
We use a state-of-the-art stack of AI, blockchain, and security tools to deliver best-in-class smart contract optimization.
What Our Clients Say
We build long-term partnerships based on trust, transparency, and tangible results.
"The level of detail in Errna's AI analysis was astounding. They found subtle gas inefficiencies that saved us thousands per month in operational costs on our logistics platform. A true partner in our success."
Aaron Welch
CTO, ScaleChain Logistics
"As a DeFi founder, security is everything. Errna's AI audit gave our investors and users the confidence we needed to grow our TVL by 300%. They didn't just audit; they educated our team on best practices."
Abby Houston
Founder, Nexus Protocol
"We needed to integrate a complex smart contract system into our existing enterprise infrastructure. Errna's team, with their AI tools and deep expertise, made the process seamless and secure. Their professionalism is second to none."
Abel Hammond
Head of Digital Transformation, FinCorp
Frequently Asked Questions
A traditional manual audit is performed by human experts who review code line-by-line against a checklist of known vulnerabilities. It's essential but can be limited by human scope and bias. Our AI-driven approach enhances this process by:
1. Scale: Analyzing thousands of contracts to identify complex, novel patterns of vulnerabilities that a human might miss.
2. Proactivity: Simulating economic exploits and attack vectors, not just checking for code flaws.
3. Depth: Performing opcode-level analysis to find gas inefficiencies that are invisible in the source code.
Our model is "expert-in-the-loop," combining the scale of AI with the contextual understanding of human auditors for the best possible outcome.
The ROI is twofold:
1. Cost Savings: We typically see gas fee reductions between 15-40%. For high-volume protocols, this translates to hundreds of thousands or even millions of dollars in savings for the platform and its users annually.
2. Risk Mitigation: The primary ROI is preventative. A single smart contract exploit can lead to a total loss of funds, reputational collapse, and legal liability. The cost of our optimization service is a fraction of the potential loss from a single critical vulnerability.
We treat client IP with the utmost seriousness, backed by our ISO 27001 and SOC2 certifications. Our process includes:
- Strict Non-Disclosure Agreements (NDAs) before any code is shared.
- Analysis performed in secure, isolated, and air-gapped environments.
- All client code is purged from our systems upon project completion.
- Our AI models are trained on public, open-source data, not on client code.
Our process is collaborative and transparent:
1. Scoping Call: We discuss your project's architecture, business logic, and specific goals (e.g., security focus, gas reduction).
2. Secure Code Submission: You provide access to your codebase via a secure channel.
3. AI Analysis Phase: Our automated tools perform an initial deep scan over 2-3 days.
4. Expert Review: Our blockchain security experts review the AI findings, eliminate false positives, and add contextual analysis.
5. Reporting & Debrief: We deliver a comprehensive report with actionable recommendations and schedule a call to walk your development team through every finding.
6. Remediation Support: We remain available to help your team implement the recommended changes and verify the fixes.
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