AI-native technology studio · Panaji, Goa

AI that reads your systems instead of replacing them.

Most organisations run on a stack assembled over fifteen years by people who have since left. We build the layer above it — reading the drawings, statements and records you already hold, and writing the answer back into the systems you already own.

01It reads what you have

The files are the interface.

Your drawings, statements, registers and forms are data. They have never been treated that way. We read them where they already are, in the shape they already have, and nobody is asked to re-key anything.

Hover a line of the schedule to see where it was read from.

02The confidence gate

Nothing silent reaches your customer.

Anything the system is unsure about is marked and queued for a person rather than filled with a plausible value, because a confident wrong number is the one nobody catches.

The loupe will show you what is under the coffee.Look closely at the coffee ring on the drawing.

03It sits above your estate

Nothing gets ripped out.

We read from the systems you own and write back into them. Your ERP, your CRM, your document stores and the phone in a supervisor’s pocket keep working exactly as they do today. Replacement projects are how this kind of work dies.

  • AccessRole-based, down to the record.
  • AuditAppend-only. Corrections add, never overwrite.
  • ResidencyIndia region. Stated, not implied.
  • ExitOpen-format export, on demand.

Revisions · evidence

Four figures you can check.

Each one links to the page that states it, rather than being asserted here.

RevFigureWhat it isStated on
AFourclient sites live today, on one platform/work
B~1,290automated tests on the platform we operate/trust
CIndiaregion hosting, stated in writing/trust
D2 weeksto something you can use on a phone/contact

Calculation sheet

Say yes to the work you are currently turning down

For most growing organisations the constraint is not demand. It is how many bids, orders, files or cases a trained person can get through in a week. Move the sliders. Every assumption is printed underneath so your finance lead can argue with it.

Planning model · quotingOver capacity
TodayReviewed pass43 / mo144 / mo60 wanted0140 bids / month
43bids you can actually price
17that go late or get declined
1more people needed as things stand
0more people needed with a reviewed pass

Assumptions, so you can argue with them. 6 hours per bid today; 1.8 hours with a reviewed first pass; 130 productive hours per person per month. These hour figures come from a single proof-of-concept engagement that is still in progress. They are a planning model, not a measured production result, and we would re-measure them against your own files before anyone relied on them.

Issue

Start with a prototype

Two to four weeks, fixed scope, working from your own files. You keep the prototype and its source whether or not we go further.

Start with a prototype

Title block

You work with the person who writes the code

Notes

“Organisations this size rarely have an AI problem. They have a capacity problem, a knowledge-concentration problem, and a stack assembled over fifteen years by people who have since left. AI is the first tool that can read that estate instead of demanding you replace it. The work is choosing which constraint to attack first, and then actually shipping it.”

Start a conversation →About the studio

Drawn by

Puja Chakravarty

Checked by

Puja Chakravarty

Role

Founder

Office

Panaji, Goa