Blockchain development, built by an AI-assisted engineering team
GegoSoft builds smart contracts, permissioned networks and tokenised systems from Madurai, India. Our engineers use Claude Code on every project — which means more test coverage, more static analysis and more review passes per rupee than a manual team can deliver on the same budget. On a blockchain project, where a deployed bug is permanent, that difference is the whole argument.
- Who we are
- GegoSoft Technologies, a software company in Madurai, Tamil Nadu, established 2017. Eighteen engineers. Blockchain is one of several practices, alongside Laravel, React and mobile.
- What we build
- Smart contracts, permissioned and private networks, tokenisation platforms, wallet integration, dApp front ends, and audit preparation for contracts written elsewhere.
- Chains we work on
- Ethereum and EVM-compatible chains (Polygon, Arbitrum, Base, BNB Chain), plus Hyperledger Fabric for permissioned enterprise networks.
- How AI changes it
- Claude Code accelerates scaffolding, test generation, static analysis triage and documentation. It never approves a deployment. Every contract is reviewed by named engineers and, for anything holding value, an independent third-party audit.
- Who we work with
- Founders and enterprises with a specific problem — traceability, multi-party settlement, verifiable records. We turn down projects where a conventional database is the better answer.
- Typical timeline
- Four to six weeks for a scoped smart contract system to testnet. Twelve weeks or more for a full platform with front end, integrations and independent audit.
Why AI-assisted coding matters more on-chain than anywhere else
In a normal web application, a bug is a Tuesday afternoon. In a deployed smart contract, a bug can be unfixable and expensive. The economics of blockchain development have always favoured teams who could afford exhaustive testing and multiple review passes. AI tooling changes who can afford that.
Test coverage that would otherwise be unaffordable
Generating comprehensive unit tests, edge cases and fuzzing harnesses for Solidity contracts is slow, repetitive work — exactly what AI is good at. We ship contracts with coverage levels that used to require a much larger budget, because writing the hundredth test case now costs a fraction of what it did.
Static analysis triage, not just static analysis
Slither and Mythril produce long findings lists, most of them false positives. Claude Code helps our engineers sort real issues from noise quickly, so review time is spent on the findings that matter instead of on triage.
Multiple independent review passes
Every contract gets read again — for reentrancy, access control, integer handling, oracle dependencies and gas patterns — before a human reviewer starts. It's a second and third set of eyes on code where the first pass often misses something.
Documentation written as the code is written
NatSpec comments, architecture notes and a plain-English description of what each function does, produced alongside development. Auditors work faster against documented code, and audit hours are the expensive part.
Where the line is
AI writes drafts, tests and analysis. It does not approve merges, sign off on architecture, or authorise a mainnet deployment. Named engineers own every contract, and anything that will custody real value goes to an independent third-party audit before launch — we will tell you that in the proposal, and we will not deploy without it.
What we build
Most engagements start as a consulting week, because the first useful thing we can tell you is usually whether the project should exist in this form at all.
Smart contract development
Contract design, implementation and testing for lending, escrow, settlement, royalties, governance and access control. Written to be readable, because unreadable contracts fail audits.
- SOLIDITY
- HARDHAT
- FOUNDRY
- OPENZEPPELIN
Permissioned & private networks
Consortium networks where several organisations need a shared record none of them individually controls. Channel design, membership services, chaincode and integration with existing systems.
- HYPERLEDGER FABRIC
- GO
- NODE.JS
Tokenisation platforms
Fungible and non-fungible token systems for real-world assets — property shares, carbon credits, loyalty points, certificates. Including the compliance layer and the boring admin interface someone has to use daily.
- ERC-20
- ERC-721
- ERC-1155
- ERC-4626
dApp & wallet integration
Front ends that non-crypto users can actually operate. Wallet connection, transaction states, failure handling and gas explanations written for people who have never signed a transaction before.
- REACT
- NEXT.JS
- ETHERS.JS
- WAGMI
Audit preparation & remediation
You have contracts written by someone else and an audit coming. We add tests, document behaviour, fix the obvious findings first, and cut the audit hours you'll pay for.
- SLITHER
- MYTHRIL
- ECHIDNA
Blockchain consulting
A short paid engagement that ends in a written recommendation — including "don't do this on a blockchain" where that's the honest answer. Cheaper than finding out after the build.
- ARCHITECTURE
- CHAIN SELECTION
- COST MODELLING
When blockchain is the right tool — and when a database is
Blockchain solves one narrow problem well: letting parties who don't fully trust each other share a record that none of them can quietly alter. If your situation doesn't have that shape, a conventional database will be faster, cheaper and easier to change. This is the first thing we assess, and we lose work by saying it.
Blockchain earns its place when
- Several organisations need one shared record and none should control it
- The audit trail must be provably unaltered, not merely logged
- Settlement between parties currently needs a slow intermediary
- Assets need to be divisible and transferable without a central registry
- Provenance must survive the failure of any single company in the chain
- Rules need to execute automatically without either party able to intervene
Use a database instead when
- One organisation owns the data and everyone already trusts it
- Records need to be edited, corrected or deleted for legal reasons
- You need high write throughput at low cost per transaction
- The data is personal and privacy law requires a right to erasure
- The real requirement is an audit log, which Postgres does well
- "Blockchain" is in the brief because an investor asked for it
Where we've seen it genuinely work
Sectors where the multi-party trust problem is real rather than theoretical, and where the cost of a shared verifiable record is lower than the cost of reconciling separate ones.
- Supply chain traceability — provenance across suppliers, shippers and retailers who each keep their own books
- Trade finance and settlement — reducing reconciliation between banks, exporters and insurers
- Credential and document verification — degrees, licences and certificates verifiable without contacting the issuer
- Asset tokenisation — fractional ownership of property, equipment or carbon credits with a transparent ownership record
- Loyalty and rewards — points transferable across a partner network without one brand acting as clearinghouse
- Digital asset platforms — exchange, custody and wallet infrastructure, built to the compliance standard of the market it serves
Which chain, and why
Chain choice is an architecture decision with cost and compliance consequences, not a preference. Here's how we usually reason about it.
| Platform | Best suited to | Trade-off | We build with |
|---|---|---|---|
| Ethereum | Systems where maximum decentralisation and liquidity matter more than transaction cost | Highest gas costs of any option | Solidity · Hardhat · Foundry |
| Polygon | Consumer-facing applications with frequent, low-value transactions | Security inherited from Ethereum rather than native | Solidity · Hardhat |
| Arbitrum / Base | DeFi and higher-value applications needing Ethereum security at lower cost | Withdrawal delays and sequencer considerations | Solidity · Foundry |
| BNB Chain | Projects targeting existing users and liquidity in that ecosystem | More centralised validator set | Solidity · Hardhat |
| Hyperledger Fabric | Enterprise consortiums where participants must be known and data kept private | No public verifiability; you run the infrastructure | Go · Node.js · Fabric SDK |
How a blockchain project runs with us
Sequenced so the expensive, irreversible decisions happen after the cheap, reversible ones.
Feasibility assessment
Does this need a blockchain? Which chain, what does it cost per transaction at your expected volume, and what breaks at ten times that volume. Written up, and yours regardless of what happens next.
Architecture and threat model
Contract structure, upgrade strategy, access control, oracle dependencies, and an explicit list of what an attacker would try. Agreed before a line of Solidity is written.
Build and test
Contracts written with AI-assisted test generation running alongside. Static analysis on every commit. Deployed to testnet early so you can use it rather than read about it.
Interface and integration
The dApp front end, wallet flows, admin tooling and connections to your existing systems — usually the part users judge the whole project on.
Independent audit
An external firm reviews anything holding value. We prepare the codebase, manage the process and remediate findings. This is not optional on our projects.
Deployment and monitoring
Mainnet deployment, verified source on the block explorer, monitoring and alerting, and a support arrangement for the period where problems actually surface.
A software company that also does blockchain
That distinction matters. Blockchain projects fail far more often at the boring edges — the admin panel, the accounting integration, the compliance reporting, the onboarding flow — than at the contract layer. We've been building those systems in Laravel, React and Flutter since 2017, and we maintain six production products of our own. The chain is one component of a system, and we build the rest of the system too.
Frequently asked questions
How does AI-assisted coding change blockchain development?
Do I actually need a blockchain, or would a database work?
What does blockchain development cost?
Do you audit smart contracts?
Which blockchain platforms does GegoSoft work with?
Can smart contracts be changed after deployment?
Do you build cryptocurrency exchanges?
Where is GegoSoft located, and do you work internationally?
Start with the feasibility question, not the build.
Tell us the problem you're solving and who else has to trust the record. We'll tell you whether a blockchain earns its cost here — in writing, in a week.