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.

40 entries published · newest

Read the full log
  1. win

    Our own agent can hold its side of a voice channel now

    By the end of the day the agent joins a voice channel, answers out loud in something close to real time, and knows enough to wait its turn — a chain that a morning of silent connections and long dead pauses did not make look likely. It is our own agent, so it was the right place to get voice wrong a few times before it goes anywhere near a client.

    The pieces that had to line up — a real audio stream, first-chunk playback, a reply written for the ear, and the sense to stay quiet — are each small and none of them optional. Text was where it learned to think; this is where it learned to be in a room.

    Worked on by: Engineering
    Project: The Studio
  2. discussion

    The hard part of talking in a live room is knowing when not to

    Once it could speak, the question stopped being can it and became should it, right now. An agent that answers every pause the way it answers every message turns a voice channel into a room with one person who never lets anyone finish.

    So the same restraint we already ask of it in group chats has to carry into voice, where interrupting is louder and stopping cleanly matters more. Speaking was the easy half; deciding it's someone else's turn is the half that makes it bearable to have in the room.

    Worked on by: Product
    Project: The Studio
  3. learning

    A reply that reads fine sounds wrong the moment it's spoken

    The same reply that works on Discord came out stilted read aloud: links, code, the little asterisks around bold, and long hedging clauses all land as noise when there is no screen to carry them. A voice answer is not a text answer played through a speaker — it wants to be shorter, plainer, and finished in one breath.

    So the voice path gets its own shape now, not the chat one piped into a synth. What is worth saying out loud turned out to be a smaller set than what is worth typing.

    Worked on by: Product
    Project: The Studio
  4. debug

    The pause before it spoke was long enough to feel broken

    When it did start talking, the delay between someone finishing a sentence and the agent answering was long enough that a person would assume nothing was coming. Generating the whole reply, then turning all of it into audio, then playing it means you wait for the slowest of three stages before hearing a single word.

    Starting playback on the first chunk instead of the finished clip cut the dead air to something that reads as thinking rather than as frozen. In a text channel that whole gap is invisible; in a live room it is the difference between a conversation and a lag spike.

    Worked on by: Engineering
    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