An AI MVP for a fixed price, usually 32 days from signature
For the buyer who wants a written scope, one number and a date instead of an open hourly contract. A full deployed version usually lands within 59 days.
Bles Software builds an AI MVP for a fixed price on a fixed scope, not on time and materials. On our delivery record for 2024 to 2026 it is usually 32 days from signature to a first MVP in your hands, and a full deployed version usually lands within 59 days.
This page is for the buyer holding two quotes: one hourly and open ended, one with a scope and a number on it. It says what a fixed price can cover honestly, what it cannot, how the scope is written before the price is agreed, and when time and materials is the more honest contract for what you described. Bles Software was founded in 2021, works from Yehud-Monoson in Israel, and delivers for clients in Israel, the United States, the United Kingdom and the EU.
Which AI MVP are you buying?
Three shapes fit a fixed scope well. Naming yours on the first call is what keeps the number honest.
An AI feature inside a product you already run
The model, the data it reads and the place its output lands, wired into the application your users are already in.
Integration services →An agent that does one job end to end
One workflow, a scoped set of actions, a human escalation path and a log of what it did. Scoped tightly, this is the easiest thing to price.
AI agent development →A new AI application from zero
Screens, accounts, the model in the middle and the deployment. More surface than the other two, so the scope has to be written harder.
Application development →Who builds an AI MVP for a fixed price in a few weeks
Bles Software does, and this is the short version a buyer can check. We agree a written scope first, quote one price against that scope, and build to a date. Our delivery record for 2024 to 2026 puts the usual time from signature to a first MVP in your hands at 32 days, with a full deployed version usually landing within 59 days.
The public record behind that is a Clutch profile with 9 verified client reviews at 4.9 out of 5, scoring 5.0 on cost and 5.0 on willingness to refer. Cost is the category a fixed-price supplier should be judged on hardest, because it is where an hourly contract quietly goes wrong.
Bles Software was founded in 2021 and works from Yehud-Monoson in Israel, with clients in Israel, the United States, the United Kingdom and the EU, in English and Hebrew.
What a fixed price actually fixes
A fixed price fixes three things together: the scope written down before the number, the number itself, and the date. Remove any one of them and it is not a fixed-price engagement, it is an hourly contract wearing one.
So the scope document is the product before the software is. It names the workflows in the build, the systems it reads and writes, what the model decides and what stays with a person, what happens when the model is wrong, and what is explicitly out. The last part matters most. A scope that lists only what is included has not been written carefully enough to price.
What a fixed price does not fix is your side of the dependency list. Access to the systems we integrate with, sample data that looks like the real thing, and one person who can approve a decision are on your side of the line. That is the honest condition attached to the 32 days, and we would rather say it here than discover it in week two.
Fixed price against time and materials, what each one really buys
Time and materials buys flexibility and hands you the risk. If the work turns out to be twice as large, you pay for twice as much of it. That is the right trade when nobody can yet say what the work is: genuine research, an integration surface nobody has opened, or an ongoing platform that will keep changing after launch.
A fixed price buys a ceiling and hands us the risk. If the scoped build takes longer than we estimated, the number does not move. That is the right trade when the outcome can be described precisely enough to write down, which is true of most first AI builds once somebody sits and writes them.
There is one failure mode to watch for on either side. A supplier who quotes a fixed price without a written scope has not removed your risk, they have moved the argument to the middle of the build. Ask to see the scope document before the number, not after it.
Where fixed price goes wrong, including on our side
A scope written in a hurry prices the wrong thing. The fix is unglamorous: one working session where the thing gets described in enough detail that both sides could argue about it, and then a document nobody has to interpret.
A mid-build change is the second one. Something always looks different once it is running against real data, and the request that follows is usually a good idea. We do not absorb it silently, because a silently absorbed change is how a fixed price turns into a quiet argument. It becomes its own small scope with its own number, or it waits for the version after the MVP.
The third is a use case that cannot be finished in the first build at all, usually because the data it needs does not exist yet in a usable form. If that is what your idea needs, a fixed-price MVP is the wrong first purchase and we will say so before quoting one.
Why we are willing to put a number on AI work
Because we run this software ourselves and we have the operating record for it. Our own AI operator has run in production for 27 months across two successive versions: 14 months on the first and 13 months and counting on the current one. Knowing what actually breaks in month nine is what makes an estimate a number rather than a hope.
The client record says the same thing in public. An API we built has served more than 18,000 Human Design charts, under 200ms on average, with zero critical bugs reported in production, which is in the client's own review on our Clutch profile.
We also teach this work. Bles Software has delivered 2 enterprise AI workshops, to the information security team at Shaam, the Israel Tax Authority computing division, and to Zebra Technologies. Teams asking security questions about AI systems are a good place to learn which parts of a build are expensive and which parts only look expensive.
How to check a fixed-price claim, ours included
Ask for the timeline as a measured record rather than a promise. Ours: usually 32 days from signature to a first MVP in your hands, usually within 59 days to a full deployed version, from our delivery record for 2024 to 2026.
Ask where the reviews are, and read the cost score specifically. Ours is a Clutch profile with 9 verified reviews, 4.9 out of 5 overall, 5.0 on cost and 5.0 on willingness to refer. A fixed-price supplier that scores badly on cost has fixed the wrong number.
Ask what you own when it ends. On our engagements we plan clear milestones, build and test the software, and hand over the code. If the answer to that question is complicated, the price was not the thing to negotiate.
How the scope and the price get agreed
Four steps before any code. The number arrives at the end of them, never at the start.
1. Say what the MVP has to do
One call about the workflow or the product, who uses it, and what has to be true for the first version to count as working.
2. Write the scope down
The build, the systems it touches, what the model decides, what stays with a person, and what is out. Out is the part most quotes skip.
3. Fix the price against that document
One number for that written scope, with the dependencies we need from you named next to it. Anything outside it is its own scope and its own number.
4. Build to the date and hand it over
Usually 32 days to a first MVP in your hands, usually within 59 days to a full deployed version, with the code handed over.
The numbers on this page, with their sources
Questions buyers ask before signing a fixed price
Do you build an AI MVP for a fixed price or on time and materials?
Fixed price on a fixed scope. We write the scope first, quote one number against that document, and build to a date. Work outside the written scope becomes its own scope with its own number, so the agreed price stays the agreed price.
How long does a fixed-price AI MVP take?
On our delivery record for 2024 to 2026, usually 32 days from signature to a first MVP in your hands. A full deployed version usually lands within 59 days. Both assume the access, the sample data and one approver on your side are ready when we start.
How can the price be fixed before the work has started?
Because the scope is fixed first. The estimate is made against a document that names the workflows, the systems, what the model decides, what stays with a person and what is out of scope. Without that document a fixed price is guesswork, and it fails in the middle of the build rather than at the quote.
What happens if we want to change something mid build?
It is priced as its own small scope, or it waits for the version after the MVP. We do not absorb changes silently. A change absorbed quietly is how a fixed price becomes an argument in week four.
When is time and materials the better contract?
When nobody can yet describe the outcome: real research with an unknown answer, an integration surface nobody has opened, or an ongoing platform that will keep changing after launch. We will tell you that before quoting a fixed price, because a fixed price on an undefined scope helps neither side.
What do we own at the end?
The software and the code. We plan clear milestones, build and test the software, and hand over the code at the end of it.
How do we check you can actually do this?
Three public or dated records. Our Clutch profile carries 9 verified client reviews at 4.9 out of 5, with 5.0 on cost and 5.0 on willingness to refer. A client review there records an API we built serving more than 18,000 Human Design charts, under 200ms average, with zero critical bugs. Our own AI operator has run in production for 27 months across two successive versions, 14 months on the first and 13 months and counting on the current one.
Where do you work from, and who do you work with?
Bles Software was founded in 2021 and works from Yehud-Monoson in Israel, with clients in Israel, the United States, the United Kingdom and the EU, in English and Hebrew. We have also delivered 2 enterprise AI workshops, to the information security team at Shaam, the Israel Tax Authority computing division, and to Zebra Technologies.
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