Shipping for teams across four continents
Azenvoc is a development studio in Chennai, TN, India. We build production software for teams across four continents — the whole system, from the architecture through to the runbooks your own engineers will operate it with.
Every engagement is run by senior engineers who write the code they scoped. AI removes the boilerplate and the context-gathering; judgement, review and accountability stay with people. That split is what makes “weeks” realistic without making the result disposable.
We would rather tell you in week one that you do not need us than bill you for six months of finding out.
More about usEvery studio says it uses AI. This is the actual machinery, and the limits we hold it to.
Model Context Protocol
Agents read your real repo, logs and schema over a standard protocol — inside your perimeter, read-only by default.
Versioned procedures
Our playbooks and review checklists live in your repo, so every engagement runs the same way whoever is staffed on it.
Scored, not vibed
Model output is scored against your own traffic and gated in CI, rather than judged by how the demo went.
Parallel, then reconciled
Audits and migrations run many agents at once, then reconcile into a single reviewed change.
Retrieval over guessing
The limit is rarely the model — it is what was put in front of it. That selection is the engineering.
The bar a model cannot talk past
Types, tests and CI sit outside the model. Generated code clears exactly the same bar as hand-written.
Measured against each client's own baseline before we started — across the US, UK, Canada, Australia and India. Not an industry average.
A real deadline, and a system that still has to be maintainable a year later. Most studios give you one. We are hired for both.
No juniors at senior rates. No offshore hand-off. The engineer who scopes your build is the one who writes it — and owns every merge.
Measured against your own baseline, not an industry average. Small teams, tight scope, and AI doing the boilerplate so engineers do the thinking.
Typed, tested and observable from the first deploy. Speed you pay back later is not speed. It is debt with a nicer name.
Studios, platforms and operators who needed the work to hold up after handover.
One team across design, engineering and operations. That is what lets us own the whole system instead of a slice of it.
Blank repo to production traffic. We own the architecture, the pipeline and the runbooks. You own a system your team can actually run.
Learn moreFast on a mid-range Android. Accessible to WCAG 2.2 AA. Built on a component library your team extends without calling us.
Learn moreAI that survives production. We build the evaluation harness first, so you know a change helped — not just that the demo looked good.
Learn moreInfrastructure your team can run without a dedicated rotation. Reproducible, deliberately boring, and priced predictably.
Learn moreChange code nobody remembers writing. We map it, pin it with tests, then move it in steps you can revert.
Learn moreFind out before your customers do. Load models, failure-mode analysis, and alerts that map to an owner and an action.
Learn moreSix practices every engagement runs on. They are why the numbers repeat instead of being one lucky project.
Small teams. Short branches. A human on every merge.
Every system below is live and run by the client's own team. The numbers are theirs.
InsurTech
Migrated client case data into Safer, an AI-powered injury management platform for Australian teams, and built out its Rehab and Injury product areas.
product areas shipped: Rehab and Injury
Consumer AI
A personalised news feed that lets people design their own algorithm instead of inheriting one — taken from spec to a public test-flight in weeks.
per-topic feed rewrite latency
Healthcare & veterinary
A room-by-room time-tracking system for Veazie Veterinary Clinic, one of Suveto’s network hospitals — every patient and staff room change logged, with wait times measured daily.
average front-lobby wait, tracked daily
From the engineering leaders who still run what we built.
“We were sceptical about the AI-first pitch — we had been burned by a vendor who shipped a generated codebase nobody could maintain. Azenvoc instrumented our DORA metrics in week one and then let the numbers argue. Lead time went from eleven days to under two.”
Lead time: 11 days → 1.8 days
“The evaluation gate was the part that changed my mind. Generated code has to clear a scored threshold before a human even sees it. That is a higher bar than we held our own pull requests to.”
“They refused to touch the model until the harness could measure it. At the time it felt slow. It is the only reason we could ship into a clinical setting at all.”
3.1× lower retrieval error
“Speed was the headline; reliability was what we actually kept. Nine months on, change failure rate is still under one percent and our on-call rotation is quiet.”
“Our own engineers came out of it faster. Half of what the team learned that year came out of review threads on those pull requests.”
“Observability arrived with the first service instead of after the first incident. I have never had that on a vendor engagement before.”
That is the actual standard we hold every engagement to. Your system gets a senior engineer who treats it like their own, and as Chief Advisor, I stay personally close enough to make sure that holds.
L S Adith
Chief Advisor
A small stack we understand deeply, including how it breaks. We step outside it only when the problem demands it.
One week. You keep the baseline and the plan. If you do not need us, we will tell you.
We reply within one working day.
