For larger firms
Your own AI, on your own servers.
Your staff get an assistant that knows your company, behind your own sign in, and your IT head decides who sees what.
Tested on twenty of your own past cases before it goes live, and kept working as AI changes.
Eashan Gupta, founder. You meet him on the first call.
Why start here
Your staff already use AI. Your files go with them.
A private AI gives your people the same help, inside your own walls.
77percent
of staff who use AI tools paste company data into them
LayerX, AI and SaaS Data Security Report, 2025
82percent
of those pastes come from personal accounts the company can't see
The same LayerX report, 2025
₹22crore
the average cost of a data breach in India
IBM, Cost of a Data Breach Report, 2025
The test
Judge us on your work.
The test is yours: your past cases, a pass mark you help set, and your team approving every piece before it touches today's work.
18 of 20 of your past cases, approved by your team with no changes
5 working days in a row of live work your team approves
Your sponsor's yes in writing, before it runs on its own
The test, as our terms set it, 2026.
On our own machine
Six kinds of AI work, each checked.
Each passed its test on 22 September 2026, on our own machine. We show it to you running on ours before we put one in yours.
A call turned into notes
A sales call, its notes and the next step.
An answer with its source
From your own files, with the page named.
A delivery photo read
The signature and the count, checked.
A chart from your numbers
Asked in words, drawn from your sheet.
A spoken reply in Hindi
Heard, answered and spoken back.
A form filled from a scan
A scanned invoice, its fields filled.
What a larger firm asks
Hard questions, straight answers.
Is this one person?
No. A named lead and named engineers are in your proposal, with what each has built. Our founder signs the agreement and is your escalation, and no larger firm's system goes live before its second engineer is named.
Do you hold ISO 27001 or SOC 2?
Not yet. We can show you every account in your name, the record of every action, and a person's yes before anything leaves your firm.
What a reviewer can be shown todayDoes it hold for 5,000 people?
It runs in your own cloud account or data centre, behind your own sign in. It hasn't been installed at a client yet, so we show it running on our own machine before yours.
Our private machine, in fullHow long have you been around, and who can we call?
Since August 2026. The work so far is on our work page, dated. A reference comes once a client agrees to give one, and every exit is in your hands from day one.
The work, with its datesWhat about the agreement, the data terms and the liability cap?
They're with our lawyer and not yet published. We'll tell you where they stand before you sign anything.
Who answers at night?
Support hours are written into your agreement. Outside them an AI agent that stops stays stopped, your named person is told, and your team works the old way until we're back.
Where we stand
What we hold today, and what we don't yet.
| Today | Not yet |
|---|---|
| Every account and line of code in your name | ISO 27001 or SOC 2 |
| A stop switch on every AI agent | The first one inside a client's walls |
| Every action on record, and a person's yes first | The agreement and data terms, published |
| Private AI on our own machine, checked 22 Sep 2026 | An outside client's number, before and after |
| Plain files and a how-to guide if either side stops | A client reference you can call |
In writing
The terms, in writing.
They hold for a firm of any size. The three a larger firm asks about first.
-
“My data will leave.”
Personal data stays on your own machine unless you approve otherwise in writing.
-
“The AI will get something wrong.”
We answer for mistakes: it stops, and we fix it at our cost.
-
“The price will creep.”
One fixed price, in writing, before any work.
Bring twenty of your past cases.
In the 45 minutes we set the pass mark with you.
What stays yours
- Your accountsin your company's name
- Your codeevery line of it
- Personal dataabout your customers and staff, on your own machine unless you approve otherwise in writing
- Plain files and a how-to guideif you stop
Eashan Gupta, founder. You meet him on the first call.