We find out whether the expensive thing is worth building. A third of the time it is not, and we say so in writing.
Deep9 helps mid-sized businesses work out where AI actually pays, then builds the thing. Strategy that ends in a shipped system, not a slide deck.
Numbers, because this industry runs on adjectives
Two weeks. Where AI pays in your business, where it does not, and what it would cost to find out.
Six to ten weeks. One system, shipped, with your team able to run it.
Per month. Two engineers and an architect inside your delivery team.
A day with the people who own it. Most of the value is here, and it is free.
Where AI pays, where it does not, what it costs to find out. A number, not a maturity model.
One system, fixed scope, your team in the room the whole way.
Documentation, training, and no ongoing licence. If you need us again you will call.
Change the scope and we re-price it in writing before anything moves.
No licence and no per-seat fee on a system you paid to build.
Non-negotiable. A system nobody on your side understands is a system you will replace in a year.
It has happened thirteen times. We would rather write it than take the money.
They talked us out of the expensive option and built the boring one instead. It paid for itself in four months and it is still running.
— Priya N., Operations Director
You have spent $6,500 and saved a great deal more. About a third end this way and we publish that number on purpose.
Usually better that way. We are there to make them faster, not to replace them.
Yes, and our insurance certificate is on the documents page.
Fifteen years building systems that had to work on Monday. Started Deep9 after watching too many AI pilots die in a steering committee.
Ships the thing. Previously ran ML platform at a logistics company nobody has heard of that moves a third of the east coast.
"We came in wanting a chatbot. They showed us the numbers and we built a quoting tool instead. It paid for itself in four months."
"Fixed price, fixed date, working software at the end. I have been burned by the other kind."
"The half they kept was the half that mattered. First time a consultancy has argued for a smaller engagement."
"Took a fortnight to get going. Once they did, the delivery was the cleanest we have had."
Fixed price against a fixed scope. The assessment is $6,500 and tells you whether the build is worth doing — if the answer is no, we say so and you have spent $6,500 instead of $200,000.
Then that is what the assessment says. Roughly a third of them end that way. We would rather write that report than build something you quietly stop using.
No. You need somebody who owns the problem. We bring the engineering and hand it back with the team trained to run it.
Two weeks to a decision, six to ten more to a shipped system. Nothing here runs for a year before you see software.
You do — code, weights, prompts, documentation. No licence, no lock-in, no per-seat fee on your own system.
01of 06·Do you do this
Deep9 helps mid-sized businesses work out where AI actually pays, then builds the thing. Strategy that ends in a shipped system, not a slide deck.
02of 06·Is it for me
03of 06·Can I trust you
We came in wanting a chatbot. They showed us the numbers and we built a quoting tool instead. It paid for itself in four months.
Fixed price, fixed date, working software at the end. I have been burned by the other kind.
The half they kept was the half that mattered. First time a consultancy has argued for a smaller engagement.
Took a fortnight to get going. Once they did, the delivery was the cleanest we have had.
You do — code, weights, prompts, documentation. No licence, no lock-in, no per-seat fee on your own system.
04of 06·What fits my budget
Typical spend across our customers: $$$
05of 06·What it costs
Typical spend across our customers: $$$
Fixed price against a fixed scope. The assessment is $6,500 and tells you whether the build is worth doing — if the answer is no, we say so and you have spent $6,500 instead of $200,000.
06of 06·What happens next
Then that is what the assessment says. Roughly a third of them end that way. We would rather write that report than build something you quietly stop using.
No. You need somebody who owns the problem. We bring the engineering and hand it back with the team trained to run it.
Two weeks to a decision, six to ten more to a shipped system. Nothing here runs for a year before you see software.