Cloud & AI Solutions

Cloud and AI, applied to four jobs that actually cost you money.

We are not an AI company and we are not going to pretend to be one. We take on four narrow jobs where a machine removes work a person is doing by hand today, and we run the cloud that our own systems sit on. Everything else on this page is a list of what we will not build.

4
AI jobs we take on, named on this page
0
models we train from scratch, and we never will
1
number we report: hours of manual work removed
100%
cloud accounts opened in your name, not ours

Where the money goes

Three ways Indian businesses waste money on AI and cloud.

We have been pitched all three ourselves. None of them are scams. They are just projects that were never going to pay.

WASTE 01

A chatbot with nothing to answer from

It gets bolted onto a website that has six pages and no documentation. The bot invents answers, customers stop trusting it, and it quietly gets switched off in month four.

WASTE 02

An AI strategy that ships nothing

Workshops, a roadmap, a forty-slide deck about transformation. Six months later not one person's daily work has changed, because no software was ever written.

WASTE 03

A cloud bill nobody can explain

It arrives monthly, it grows, and the person who set it up has left. Servers sized for a launch that happened two years ago are still running at three in the morning.

One of the four, in full

A vendor bill, read by a machine, checked by a person.

THIS MONTH
412
PER INVOICE
3min
HOURS OF TYPING
21
EXTRACTED FIELDS0 of 7
One field needs a human. The invoice number is smudged on the scan and the reader is only 71% sure. It goes to a person instead of into the ledger, because a wrong invoice number is worse than a slow one.
Today
Four hundred and twelve bills a month. Somebody opens each one and types it into Tally.

What we take on

Four jobs. Each one replaces typing that somebody does today.

If your problem is not on this list, we are probably the wrong people, and we would rather say so in the first call than in month three.

01 · DOCUMENTS

Reading documents

Vendor bills, purchase orders, delivery notes, KYC papers, insurance documents. Fields come out as data, with a confidence score on each one, and anything uncertain goes to a person rather than into your ledger.

Right when somebody types the same fields every day.
02 · ENQUIRIES

Sorting what comes in

Emails, forms and WhatsApp messages read, classified and routed. Urgent to the right person in minutes, quotations to sales, invoices to accounts, and the rubbish filed without anyone reading it.

Right when enquiries sit unanswered because nobody owns the inbox.
03 · YOUR OWN FILES

Answering from your documents

A search box over your manuals, policies, contracts and past quotations that answers in a sentence and shows which page it came from. Your documents only, and it says so when it does not know.

Right when the answer exists but only three people know where.
04 · NUMBERS

Forecasting demand

What to stock, when the season turns, which route fills up. Built from your own sales history, and only when there is enough of it to be worth trusting.

Right when you have two or three years of clean history. Not before.

What we will not build

The list that matters more than the one above.

Any agency will say yes to all of this. Saying no is how you can tell whether the yes meant anything.

×
We will not train a model from scratch

That takes a research team and a budget in crores. We use models that already exist and put them to work on your data. Anyone offering to train one for a mid-sized Indian business is selling something else.

×
We will not sell you an AI strategy

No workshops, no roadmap deck, no transformation programme. We quote for software that changes somebody's Monday, or we do not quote.

×
We will not put a chatbot on a thin website

A bot with nothing to read from makes answers up and damages your name. Write the content first. Then a bot is worth discussing.

×
We will not use AI where a rule would do

Most of what gets sold as AI is an if-then rule with better marketing. Rules are cheaper, faster and explainable. We reach for them first and tell you when we have.

×
We will not start where the data does not exist

Forecasting needs history. Document reading needs documents. If the data has not been collected yet, the first project is collecting it, and that is a different, cheaper job.

×
We will not take on what we cannot measure

Every project starts with the number it has to move: hours removed, errors avoided, rupees saved. If nobody can name that number, there is nothing to hold us to.

The cloud part

Cloud here means the bill, the backups and the boring discipline.

We are not a cloud consultancy. We run the infrastructure under the systems we build, and we know where the money leaks, because we have paid those bills ourselves.

Where a ₹1,00,000 monthly bill usually goesTYPICAL
Servers doing real work₹46,000
Oversized for a load that never came₹21,000
Test and staging left running at night₹13,000
Snapshots and backups nobody deletes₹11,000
Bandwidth, storage, everything else₹9,000
Around 45% of a typical small cloud bill is paying for something nobody uses. The first month of work is usually finding it, and it usually pays for itself.

Hosting for what we build

The web apps and websites we deliver, running on your own AWS, Google Cloud or DigitalOcean account, sized for what you actually use.

Backups, and a restore we perform

Daily automatic backups, and a restore carried out in front of you before handover. An untested backup is a rumour, not a safety net.

Monitoring that wakes somebody

Uptime checks, error alerts and a monthly note on what broke and what it cost. Not a dashboard nobody opens.

Getting off a server under a desk

Migration from shared hosting, an old VPS or a machine in the office, done over a weekend with a rollback plan written before we start.

How we work

Five steps, and the first one can end the project.

01

Name the number

Hours of typing, errors, rupees. If we cannot agree on what should move and by how much, we stop here and nobody has spent anything.

02

Try it on your real data

Two weeks, paid, on a sample of your own documents or history. You see the accuracy on your papers, not on a demo. Plenty of projects end here honestly.

03

Build the human checkpoint first

Where the machine is unsure, a person decides. That screen gets built before the clever part, because it is what makes the clever part safe to use.

04

Run it beside the old way

For a few weeks the system and the person both do the job, and we compare. Nobody switches off the old process on a promise.

05

Hand over the keys

Your cloud account, your data, your API keys, your bill. Documented well enough that another developer can take it on without ringing us.

Who we build for

Businesses with a pile of paper and a person typing it.

Straight answers

What people ask before they spend anything.

What does an AI project cost in India?
The paid trial on your own data runs ₹75,000 to ₹1.5 lakh and takes two weeks. A working document reading or enquiry routing system, including the screen where a person checks the uncertain cases, usually runs ₹6 to ₹20 lakh depending on document variety and how many systems it has to write into. Running costs are separate and paid from your own accounts.
How accurate is document reading really?
On clean printed invoices from a few regular suppliers, high enough that a person only checks the exceptions. On faded thermal prints, handwriting and phone photos taken at an angle, much lower. That is exactly why we run the two week trial on your papers first, and why every field carries a confidence score instead of a promise.
Will our data be sent to an AI company?
Only if you agree to it, and we tell you plainly which parts go where. Some jobs run entirely inside your own cloud account. Others use a hosted model, in which case we use the business terms that exclude your data from training, and we write that into the contract. If your documents cannot leave your premises, say so at the start and we will design for it or decline.
Can you reduce our existing cloud bill?
Usually, and it is the fastest work we do. We review the account, find what is oversized, idle or forgotten, and give you a written list with the saving against each item. You decide what to switch off. Most small bills have thirty to fifty per cent of waste in them.
Do we need to move to AWS?
No. AWS, Google Cloud, Azure and DigitalOcean all work, and for a small Indian business the cheaper and simpler option is often the right one. We pick on your workload and your bill, not on which logo looks better in a proposal.
What if the trial shows it will not work?
Then we tell you, you pay for the two weeks, and you have saved yourself a project. This happens and it is a good outcome. We would rather lose the build than deliver something that quietly gets abandoned.
Who owns the model and the data?
You own the data, always. The system runs on your cloud account with your API keys. There is no model of ours holding your business hostage, and nothing to buy back if you leave.

Start here

Tell us which pile of paper somebody types up every week.

That is the whole qualifying question. If there is no pile, and no number that should move, we will say there is nothing here worth building and you will have lost twenty minutes.

Office
NX-ONE, T4-A601
Tech Zone IV, Greater Noida
Write to us
Monday to Saturday, 9:30am to 6:30pm IST. Every enquiry gets a human reply within 48 hours.
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