Reading documents
Supplier invoices, purchase orders, bank statements, packing lists, contracts. The software reads the file and fills the fields instead of a person retyping them. Scans and phone photographs too, not only clean PDFs.
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AI Based Customized Software
Software built around the way your business already works, with AI doing the part that quietly eats your team's day.
Reads your documents
Answers from your own material
Sorts and routes the work
Forecasts from your numbers
Most businesses do not have a software problem. They have a repetition problem. Somebody opens a supplier invoice and types the same eleven fields into a system. Somebody reads an enquiry and decides which of four people should answer it. Somebody writes the same reply for the eightieth time this month. None of it needs judgement. All of it needs a person, because until recently there was nothing else that could read.
That is the gap AI closes. Not a robot, and not a chatbot bolted onto your website, but a piece of your own software that handles the reading, sorting and drafting and hands the decision back to your team. We build that software, shaped around your process rather than the other way round.
What we build
Six things AI is genuinely good at right now
These are the jobs where it earns its cost. Anything outside this list, we will tell you so.
Answering from your own material
Your manuals, price lists, policies and past replies become something your staff or your customers can simply ask. It answers from your documents and shows which page the answer came from, so it can be checked.
Sorting and routing
Incoming enquiries, tickets, complaints and applications get read, labelled and sent to the right person with the urgent ones on top. The queue sorts itself before anybody opens it.
Drafting inside the workflow
Quotations, follow up emails, product descriptions, order confirmations, site reports. The draft appears in your own screen with your own data already in it, and a person approves or edits before it goes anywhere.
Forecasting from your numbers
Which customers are drifting toward late payment, which stock is about to run short, which month the demand turns. Built on the history already sitting in your own database.
Search that understands the question
Years of files, drawings, emails and reports, searchable by what you mean rather than the exact word somebody happened to type in 2019.
Customized, and we mean it
Why ready made software keeps not fitting
Every off the shelf product was designed for an average company that does not exist. So you buy it, and then you spend two years changing how you work to match the screens. The export documentation step that is specific to your trade becomes a spreadsheet on the side. The approval your family business actually runs on becomes a WhatsApp message. The software is live, and half the real process is happening outside it.
Custom software goes the other direction. We sit with the people doing the work, write down what actually happens including the parts nobody put in the manual, and build that. Your terminology, your approval chain, your exceptions. Then the AI goes in where the repetition is.
It costs more at the start than a monthly subscription. It costs less by the third year, and you own it. That trade is worth making when the process is the thing your business competes on, and it is not worth making when a standard product already fits. We will tell you which one you are looking at.
How it goes
One task first, proved on your data, then built
Nobody should sign a large software contract on a demonstration that used somebody else's documents.
01
Map the work
A short engagement where we follow the actual flow and count it. How many invoices a day, how many minutes each, where the rework comes from. The biggest cost is usually not where people expect.
02
Pick the single worst task
Not the most interesting one. The one with the most hours and the least judgement in it. That is where AI pays for itself first and where a failure is cheapest to spot.
03
Pilot on your real material
A paid, fixed price pilot using your own documents and your own records. At the end you get the accuracy figure, the monthly running cost and the honest list of what it got wrong.
04
Decide with a number in hand
If the pilot does not beat the manual way, we say so and you stop, having spent a pilot fee rather than a project budget. If it does, we both know exactly what we are building.
05
Build it into the software
The model becomes part of your system, with a person approving anything that matters, a log of every decision it made, and a fallback for the day the provider has an outage.
06
Watch it in the real world
Accuracy drifts when your documents change. We keep measuring after go live and tell you when something has slipped, instead of waiting for you to find it.
Before you spend anything
Four things most people will not tell you
- It will be wrong sometimes. Any system that reads documents makes mistakes, and the ones claiming otherwise are measuring on easy files. The real question is whether the error rate is lower than your current one, and what happens to the errors it does make. We design the catch before we design the clever part.
- It has a running cost. Every document read is a charge from the model provider. On low volume it is small. On high volume it is a line item you need to see before you commit, so we put the monthly figure in front of you during the pilot.
- Some tasks should not be automated. Anything where a wrong answer carries a legal or financial consequence and nobody checks it afterwards belongs with a person. We will say no to those, and we would rather lose the work than build something that quietly hurts you.
- Your process has to be worth automating. If the underlying workflow is broken, AI only makes the mess arrive faster. Sometimes the right first project is plain custom software, with AI added once the process is stable.
How it is built
The engineering underneath
The AI is one component. The other ninety percent is ordinary software, and that is the part that has to be solid.
.NET and SQL Server
The same stack we run our own business software on, which means we maintain it in production ourselves rather than only shipping it and walking away.
Established model APIs
We use the major providers through their business APIs instead of training a model from nothing. Faster, far cheaper, and it means you are not tied to one vendor forever.
Your data stays yours
Business tier access where your content is not used to train anybody's model, written into the contract, with the hosting region stated in plain words.
A person in the loop
Anything that leaves your company or touches money goes past a human first. The software drafts, your team approves.
Every decision logged
What it read, what it concluded, how confident it was and who approved it. When somebody asks six months later, there is an answer.
A plan for the bad day
Providers go down. The system falls back to the manual path instead of stopping your business, and picks the queue up when the service returns.
Who we build for
Industries where the repetition is worst
Manufacturing and export
Purchase orders, job cards, dispatch and export paperwork, quality records. Documents in several formats from several countries, all being retyped by hand.
Trading and distribution
Supplier price lists arriving in a different layout every week, orders over email and messages, stock decisions made on yesterday's numbers.
Professional services
Firms where billable hours disappear into admin: reading client files, drafting the standard letters, chasing the same documents every single year.
Online retail
Thousands of product descriptions, enquiries in several languages, returns read one at a time by somebody who should be doing something else.
We work with businesses in India, the United Kingdom, the United States, Switzerland, Kuwait, Oman, Bahrain, the UAE and Saudi Arabia, with overlapping working hours and a written update on the same day every week.
Questions
What people ask us first
What is AI based customized software, in plain words?
Business software built for one company rather than sold to everybody, with an AI model handling the parts that used to need a person reading, sorting or writing. The AI is a component inside your software. It is not the product, and you should never be buying it for its own sake.
Do we need a huge amount of data before we can start?
For most of this work, no. We use existing models through their APIs instead of training one from scratch, so a few hundred of your real documents or records are usually enough to show whether it works on your material. Forecasting is the exception, and there we do need a couple of years of clean history.
How accurate is it really?
It depends completely on your documents and your task, and anybody quoting you a percentage before seeing your files is guessing. That is the whole reason for the paid pilot. At the end of it you get the number we actually measured on your data, along with the cases it failed and why.
Will our data be used to train somebody else's model?
No. We use the business tiers of the model providers, where your content is not used for training, and we put in writing which provider processes what and in which region it is hosted. If your industry needs the data to stay inside one country, say so at the start, because it changes the design.
What does it cost to run each month?
There is a per use charge from the model provider on top of normal hosting. We work it out from your real volume during the pilot and show you the monthly figure before the build begins. It should never turn up as a surprise on an invoice.
How long does it take?
The pilot is usually two to four weeks. A first production feature is typically six to twelve weeks after that, depending on how many systems it has to talk to. Anybody promising a complete AI platform in two weeks is selling you a demonstration.
Can we start small?
You should. One task, one pilot, one number to judge it by. If it works you have proof and a team that trusts it. If it does not, you spent a pilot fee instead of a budget, and you learned something true about your own process either way.
Do you work with companies outside India?
Yes. Calls inside your working hours, a written update on a fixed day each week, a contract in your jurisdiction, and your code in your own repository from the first commit, so nothing is ever locked to us.
Start with the problem, not the technology
Tell us which task is eating the most hours
Describe the job your team repeats every day. We will tell you honestly whether AI is the right answer for it, what it would take, and what it would cost to find out. If it is not the right answer, we will say that too.
Start the conversation