Madurai, Tamil Nadu · Established 2017

AI Assisted Software Development Company India

Every engineer at GegoSoft uses Claude Code as standard daily tooling. That changes what we can quote, not what we claim: scaffolding, test generation, static analysis triage, refactoring and documentation move from days to hours, so the estimate you receive reflects engineering judgement rather than typing time.

We work two ways — extending our six production products for your requirement, or building SaaS platforms from our own Laravel and NestJS libraries. Both routes start from code that already runs in production somewhere.

GegoSoft engineering team, an AI assisted software development company in Madurai, India
// The essentials

GegoSoft in brief

Legal entity
GegoSoft Technologies (OPC) Private Limited, Madurai, Tamil Nadu, India
Founded
2017. Founder and CEO, Karthick Kumar A.J.
Engineering team
18 engineers, all using Claude Code as standard daily tooling across every project
Primary stack
Laravel, NestJS, React, Next.js, MongoDB, Flutter, Kotlin
Two service lines
Product enhancement of six in-house platforms, and SaaS development from internal code libraries
Core business areas
Healthcare, education, financial services, enterprise collaboration, construction and ERP
Engagement models
Dedicated remote developers part-time or full-time, fixed-price project delivery, and co-funded product development
Where AI stops
AI does not approve merges, choose architecture, or deploy to production. Named engineers do all three.
// Two ways we work

Most agencies start from zero. We start from something that already runs.

A new build carries risk that has nothing to do with your requirement — schema decisions, auth, roles, billing, reporting, the parts every system needs and nobody wants to pay to discover twice. We have already paid for them, twice over, in six shipped products and eight years of SaaS work.

Route one

Product enhancement

Six of our platforms run in production today. If one is close to what you need, we extend and customise it for you rather than rebuilding the same foundations. You get the parts that already work on day one, and pay only for the difference between our product and your requirement.

  • Existing roles, permissions and audit trails carried over intact
  • Customisation scoped against a running system, not a specification
  • Demo environments available before commercial terms are agreed
See the six products

Route two

SaaS development

Where no product fits, we build from internal Laravel and NestJS libraries developed across eight years of multi-tenant work — tenancy, subscription billing, role hierarchies, notification pipelines. AI assistance compresses the scaffolding around those libraries, which is why an MVP arrives in weeks rather than quarters.

  • Multi-tenant architecture decided by an engineer, not generated
  • Test suites written alongside features, not retrofitted before launch
  • You own the repository from the first commit
SaaS development services
// How we build

Claude Code is standard tooling here, not a pilot programme

All 18 engineers use it every day, on client work and on our own products. What follows is the specific mechanism — where AI enters the workflow, what it does, and what it is not permitted to touch.

01 · Plan

Architecture stays human

An engineer chooses the data model, the tenancy strategy and the integration boundaries. AI is used to enumerate edge cases and failure modes against that decision, not to make it.

02 · Build

Scaffolding and tests

Migrations, resource controllers, DTOs, factories and test suites are generated and then read line by line. The engineer's attention goes to business logic, which is where the defects that matter actually live.

03 · Review

Two passes, one gate

Every pull request gets an AI review pass for N+1 queries, unvalidated input, missing authorisation checks and dead code. A named engineer then reviews it again and is the only one who can approve.

04 · Ship

Documentation that exists

API docs, changelogs and handover notes are drafted during the sprint instead of the week before delivery. Most projects fail their second year on missing documentation, not missing features.

The boundary, stated plainly

AI does: scaffolding, test generation, static analysis triage, refactoring, documentation, and first-pass code review.

AI does not: approve merges, choose architecture, or deploy to production. Those three remain with a named engineer who is accountable for the outcome.

We publish this boundary because the alternative — a vendor implying AI does more than it does — is the thing that goes wrong eighteen months later, when nobody on either side can explain why a system was built the way it was.

// Selected work

Systems we have shipped, described honestly

Each of these is written up in full — the constraint, the decision, the trade-off we accepted. Where a client is under a confidentiality agreement, the client is anonymous and the engineering is not.

// In-house products

Six platforms we build, sell and support ourselves

Running our own products is what keeps the agency honest. We carry the maintenance burden of our own architectural decisions, which is a discipline you cannot get from client work alone.

Also in development: Blood Bank Management Software — donor registry, inventory and cross-match tracking for hospitals in emerging markets.

DentalPro.cloud and iDoc

These two healthcare platforms are products of SmartDocx AI Systems Private Limited, a healthcare technology venture co-founded by GegoSoft's founder. They are not GegoSoft client work and not GegoSoft products. We list them because our engineers built them, and because the case studies are instructive.

// Fit

When to call us, and when not to

We turn down work every quarter. Saying so here saves both of us a discovery call.

We are a good fit when

  • You want a long engagement with the same engineers, not a fixed-scope handover
  • Your requirement is close to one of our six products and you would rather extend than rebuild
  • You need a multi-tenant SaaS platform and want the tenancy model decided by someone who has maintained one for years
  • Another developer has left you with a codebase you cannot deploy or extend
  • You are building healthcare software in India and need DPDP Act obligations designed in rather than bolted on
  • You want interface design finished and agreed before backend work starts

We are the wrong firm when

  • The project is an MLM, HYIP, crypto exchange, ICO or speculative investment scheme. We do not accept this work on any terms.
  • You need a team on site in your office. We work remotely from Madurai, with scheduled overlap hours.
  • You want the lowest hourly rate available. There are cheaper firms and you will find them quickly.
  • You need embedded firmware or medical device software. Our scope is application and integration software only.
  • The requirement is a brochure site that a template would serve better. We will tell you so.
  • You expect AI to remove the need for engineering review. That is not how we work and not what we sell.
// Questions

Questions buyers actually ask

What does “AI assisted software development” mean in practice?

It means the mechanical portion of software engineering is automated and the judgement portion is not. At GegoSoft, AI generates scaffolding, test suites, migrations and documentation, triages static analysis output, and performs a first-pass code review. Engineers decide architecture, approve merges and deploy. The distinction matters commercially: it is why our estimates compress on well-understood work and do not compress on novel work.

Does AI-generated code end up in production?

Yes, after a human has read it. Treating AI output as trusted is the failure mode that produces unmaintainable systems, so we treat it as a draft from a fast but unaccountable colleague. Every line passes through an engineer who can explain it, and that engineer's name is on the merge. If a defect ships, a person is accountable — which is not true of a workflow where AI approves its own work.

Is AI-assisted development cheaper?

It is faster on the predictable eighty per cent and unchanged on the difficult twenty. A CRUD module, an admin panel or an integration against a documented API arrives materially sooner. A novel data model, a hard performance problem or an ambiguous requirement takes exactly as long as it always did, because the bottleneck there is thinking, not typing. Any firm claiming a uniform reduction across all work is describing a discount, not a method.

Who owns the code, and what happens to our source?

It depends on what we build, and we put it in writing before work starts. Built from scratch — a platform, a module, a standalone application — you own the copyright on final payment. Extending one of our products splits it: we keep the underlying product, you own the customisation and hold a perpetual licence to run it. The engagement document names the boundary between our existing libraries and your deliverable, because a contract that transfers “all code” without that carve-out is one neither side can honour.

Repositories sit on your infrastructure, or on ours and transfer to you at completion. At contract close you receive full source and documentation, we revoke our own access, and we keep no credentials to your systems. Our engineers use Claude Code under Anthropic's commercial terms, under which code sent to the tool is not used to train models.

Engagement and delivery models differ by project — a plugin, a UX engagement, a new module and a full build are not the same commercial arrangement. Talk to our team about the one that fits yours.

Can you take over a project another developer abandoned?

This is a large share of the work that reaches us, and we accept it after an audit rather than before. The audit establishes whether the existing codebase is worth continuing or cheaper to replace — a judgement that turns on test coverage, framework version and how far the schema has drifted from the domain. We will tell you if the honest answer is that the code should be discarded, including in cases where continuing would be more profitable for us.

Where is GegoSoft located, and how does that work across time zones?

We are in Madurai, Tamil Nadu, and have run long engagements with clients in Australia, the United States, Europe and Dubai since 2017. The arrangement that works is scheduled overlap rather than a promise of full availability: a fixed daily window when the team is reachable live, with everything else handled asynchronously in writing. Firms that promise to match your hours entirely are usually rotating staff to do it, which costs you continuity.

// Next step

Tell us what you are building

Or what your last developer could not finish. We will tell you which of the two routes fits, roughly what it takes, and whether we are the right firm for it.