Product engineering studio · Kolkata

We build AI platforms that turn more of your leads into customers.

We are a product engineering studio. We design and engineer custom AI systems — lead qualification, sales and ops automation, and the analytics layer that proves it worked.

11 platforms shipped for teams in real estate, fintech and healthcare

Shipping for
Asobr Nova Wealth K-BID Bensen Meridian Health MyPrime Network Larkfield Legal Orbit Logistics Cedar & Co Realty Vantage Dental Group
The gap

Leads go cold before you follow up. Good prospects get lost in the noise.

Your team answers the easy enquiries first and the serious buyer waits until tomorrow. Nobody knows which channel actually produced revenue. More headcount doesn't fix a routing problem.

Qualify in seconds, not days

An AI layer reads every inbound message, asks the qualifying questions your best rep would, and scores intent before a human opens the tab.

Route to the right human

Hot leads land in the right inbox with context attached. Everything else is nurtured automatically until it's worth a call.

Prove what worked

One dashboard tying source to qualified lead to closed deal — so budget goes where the revenue actually came from.

Full disclosure

What we won't sell you

You have almost certainly been pitched at least three of these. We have sat through the same decks.

  • A chatbot that reads your FAQ page back to customers
  • A 40-slide "AI transformation roadmap" with no line of code in it
  • A six-month pilot that quietly never reaches production
  • "Synergistic, next-generation, AI-first digital solutions"
  • What you get instead: a working system in production, and the number it moved.
What we build

Six things, done properly

All services →

AI Lead Qualification

Every enquiry answered in under a minute, scored and routed with full context.

Sales & Ops Automation

CRM hygiene, follow-up sequences and handoffs that run without anyone remembering to.

Custom AI Platforms

Retrieval, agents and evaluation harnesses built on your data — owned by you, not rented.

Analytics Dashboards

Source → qualified → closed, in one view your leadership team actually opens.

Product Engineering

Web and mobile products shipped by a small senior team, from spec to production.

Performance Marketing

Paid acquisition run against qualified-lead cost, not clicks — feeding the same AI that qualifies it.

Not sure which of these you need? That's what the fit call is for.

Book a call →

One closed loop, not two vendors

We buy the traffic and own the system that qualifies it, so spend is judged on booked meetings.

01 · SPEND

Campaigns built on intent

Google, Meta and LinkedIn campaigns targeted with the segments your closed deals actually came from.

02 · QUALIFY

Every click meets the AI

Landing pages hand straight to the assistant, so paid leads are scored in seconds instead of sitting in a form queue.

03 · ATTRIBUTE

Optimised on revenue

Qualification scores flow back to the ad platforms as conversion signals — budget follows the campaigns that book calls.

Flagship product · Aria, built with Asobr Real Estate (UAE)

Aria: our flagship product, qualifying every inbound lead before an agent picks up the phone

Aria began as client work and became a product we now deploy in weeks. A brokerage running portal, WhatsApp and web enquiries lost its best buyers to response time. Aria is the multilingual assistant we built for it that answers instantly, asks budget, area, timeline and financing, then hands a scored, summarised lead to the right agent.

Shipped in eleven weeks — assistant, agent console, CRM sync, and a reporting layer for the sales director.

Read the full story
83%

of inbound leads qualified automatically, no agent time

38s

median first response, down from 5h

31h

agent hours saved per week

More work

Nova Wealth AI finance platform interface

Nova Wealth

AI-powered personal finance dashboard — 10,000+ users in month one, and a Series A raised on the back of it.

 K-BID auction platform bidding screen

K-BID

Cloud-native architecture rebuild for a nationwide auction platform — real-time bidding under 100ms, nationwide scale.

 Brain Meets Bytes podcast platform interface

Brain Meets Bytes

Podcast and research-community platform for a neuroresearcher — publishing and discussion, built to scale.
Pulse · the working log

We publish the work while it is still going wrong.

Case studies are written afterwards, once everything has been tidied up. This is the log we keep as we go: the bug we chased for two hours, the approach we threw away, the fix that turned out to be in a file production never loads.

33 entries published · newest

Read the full log
  1. learning

    Our own repo said anyone was welcome to reuse it

    package.json still held whatever npm init guessed on day one. license: ISC is not a placeholder — it is an affirmative grant, so on a private repo for a site we run it was quietly telling anyone reading that the code was theirs to take. main pointed at a browser script nothing ever requires, and repository named a fork we don't deploy from.

    Set private: true, which is the field that actually prevents an accidental publish, and made the rest of it say what is true. Nobody had read any of it in a year, which is the point: the boilerplate makes claims on your behalf whether or not you meant them.

    Worked on by: Engineering
    Project: How We Ship
  2. learning

    The deploy footgun lived in one person's head

    The repo had four documents explaining individual subsystems and no README — nothing saying what the project is, how to run it, or which branch deploys. main is production, dev only produces previews, and local main tracks the client's fork rather than ours, so a bare git push on that branch goes somewhere that looks fine and isn't.

    We had already walked into that once and reported a preview deployment as live. The fix wasn't a script or a hook, it was writing the trap down at the top of a file the next person opens first.

    Worked on by: Engineering
    Project: How We Ship
  3. discussion

    Opened the argument about selling products instead of hours

    Started talking seriously about launching our own product line rather than only building to order. Client work pays now and stops paying the moment we stop; a product is the opposite trade, and the studio has never made it.

    Nothing is decided. This is a record that the argument is open, not that it landed anywhere — and the honest counter is that the case for it gets weaker every time a new client project comes in.

    Worked on by: Founders
    Project: The Studio
  4. win

    Several new development projects landed in the same stretch

    More new development work came in over a few days than the studio usually takes on at one time. Worth recording because the interesting part is not the win, it is what it forces: sequencing.

    Running several builds in parallel is where a small team quietly drops its standard — not by doing bad work, but by doing everyone's work slightly late. That is the thing to watch over the next month.

    Worked on by: Sales
    Project: The Studio

How we work

Four weeks to something real in production. No six-month discovery phase.

01

Discover

One week mapping your lead flow, the drop-offs, and the metric we'll be judged on.

02

Design

Conversation design, data model and interface prototyped and signed off before code.

03

Build

Two-week increments with evaluation sets, so quality is measured and not guessed.

04

Scale

Monitoring, retraining and new channels — or a clean handover to your team.

Client stories

Straight from the people who commissioned the work.

The people on your project

The five people who scope the work also build it.

Pradip Choudhury, COO of Code Visionary Services

Pradip Choudhury

COO

Shashank Singh, CTO of Code Visionary Services

Shashank Singh

CTO

Vikash Jha, CEO of Code Visionary Services

Vikash Jha

CEO

Sahil Biswas, CCO of Code Visionary Services

Sahil Biswas

CCO

Sayan Choudhury, CMO of Code Visionary Services

Sayan Choudhury

CMO

FAQs

Questions we get on the first call

If yours isn't here, ask it live — the call is twenty minutes and there's no deck.

Book a call →
How long until something is live?

Four weeks to a first production milestone on a qualification engagement. Larger platforms run in two-week increments after that, each one shippable.

Who owns the system you build?

You do — your cloud accounts, your repositories, your data. Aria is our product, but every deployment is configured and hosted for you, with an exit path documented from day one.

Do we need clean data before starting?

No. Discovery week includes an honest look at what you have. If the data won't support the outcome you want, we say so before you spend on a build.

How do you charge?

Fixed price for the first milestone so you can judge us on delivery, then monthly retainer for continued build, monitoring and paid-media work. No lock-in beyond the current month.

What if AI isn't the answer for us?

Then we tell you on the call. Plenty of lead problems are routing or follow-up problems, and those are cheaper to fix. We would rather lose the project than sell you a model you don't need.

Ready to stop losing leads?

Twenty minutes, one engineer, a straight answer on whether AI moves your numbers.

Book a call