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Blockchain & Web3

Smart Contract Development & Audit

We write, test, and audit smart contracts for DeFi protocols, NFT platforms, DAOs, and tokenization projects. Our blockchain engineers specialize in Solidity (EVM) and Rust (Solana/Cosmos), delivering gas-optimized, formally verified contracts with comprehensive test suites and audit-ready documentation.

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What is Smart Contract Development & Audit?

Smart contract development is the process of designing, coding, testing, and deploying self-executing programs on blockchain networks. It includes security-first development with static analysis, fuzz testing, and formal verification, gas optimization to reduce transaction costs by 30-60%, and upgrade architecture using proxy patterns for safe contract evolution with governance controls.

Engineering Targets

Figures below are the benchmarks we design and test against on this type of build. They are targets, not a warranty — what your platform actually achieves depends on your data, scale and integration surface, and we agree the numbers that matter with you before work starts.

100+
Contracts Deployed
30-60%
Gas Savings
0
Post-Deploy Exploits

Why This Matters

Smart contract bugs are irreversible and have caused billions in losses. Our security-first development process with formal verification catches vulnerabilities before deployment.

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FEATURES

What You Get

Capabilities

Security-First Development

Every contract goes through static analysis (Slither), fuzz testing (Echidna), and formal verification before deployment.

Gas Optimization

Storage packing, calldata optimization, and assembly-level tuning to reduce gas costs by 30-60% without sacrificing readability.

Upgrade Architecture

UUPS, Transparent Proxy, and Diamond patterns for safe contract upgrades with governance-controlled timelock.

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PROCESS

Our Approach

How We Deliver

01

Write The Invariants

What must always be true is agreed before implementation, then tested continuously.

02

Test Adversarially

Fuzzing, fork tests and abuse cases run in continuous integration on every commit.

03

External Audit

Independent auditors review before mainnet, with findings tracked to closure and retested.

04

Controlled Deployment

Scripted, reproducible releases with verified sources, timelocks and a documented rollback position.

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Real-World Applications

Use Cases

DeFi protocol needing audited lending and staking contracts

NFT marketplace requiring royalty enforcement and lazy minting

DAO needing governance contracts with on-chain voting

Tokenization platform requiring compliant security token contracts

Technology Stack

SoliditySolidityRustRustHAHardhatFOFoundryEthereumEthereumPolygonPolygonNode.jsNode.jsDockerDocker

Common Questions

Frequently Asked Questions

What does a smart contract audit actually involve?

A review combining manual inspection by engineers who did not write the code with automated tooling — static analysis in Slither, property-based fuzzing in Echidna or Foundry, and formal verification of the stated invariants. Findings are graded by severity, tracked to closure and retested after fixes. We also recommend an independent external audit before mainnet and manage that process alongside our own review.

Can you audit contracts written by another team?

Yes. The first step is reconstructing the invariants — what must always be true about balances, access control and accounting — because those are usually undocumented. From there we run static analysis, fuzzing and fork tests against production state, then deliver a severity-graded findings report with reproduction steps, plus remediation code where you want us to write the fixes rather than describe them.

How do you handle upgrades once a contract is deployed?

Upgradeability is a design decision made before deployment, not after. Where governance requires it we use UUPS, transparent proxy or diamond patterns with a timelock and a multi-signature owner, so an upgrade is announced, delayed and reviewable rather than instant. Where immutability is the stronger property we deploy without an upgrade path and version by migration. Storage layouts are checked against the previous implementation every time.

How do you reduce gas costs without making the code unreadable?

Through storage layout — packing variables into shared slots, avoiding redundant writes, and using calldata rather than memory for read-only arguments — plus removing repeated state reads inside loops. Assembly is used sparingly and only where the saving is measurable, with the equivalent high-level logic documented beside it. Gas snapshots run in continuous integration, so a change that increases cost is visible in the pull request.

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Ready to get started?

Let's Build Together

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