AI-powered venture building

Bring the idea. In a month, you’ll have a working business.

Not a prototype. Not a pitch deck. A real, live foundation for your business that you own outright — built in one fixed month, for one fixed fee, by a veteran startup founder directing frontier AI models through a build pipeline that has already shipped real products.

£25k for-profit · £15k tech-for-good Four weeks, fixed You own all of it

No cost, no obligation — just a straight answer on whether a month is enough for what you’re building.

Omar Malik
Omar Malik
Your cofounder for the month

“The AI does the typing. Deciding what’s worth building — and whether it’s actually ready for launch — stays with me (and you, of course).”

  • 20+ years as a technical startup founder and product engineer
  • Frontier models, orchestrated by a pipeline that has already shipped
  • Every AI output held to a senior engineering bar before it ships
  • One person on your calls — no account managers
  1. Early 2000s Instrumental in scaling a pioneering e-learning startupSydney
  2. 2011 Founded Half Cyborg, an agency, and Mercurial Phoenix, a startup-focused incubator-cum-consultancyLondon
  3. 2014 Founded MediQuire, a venture-backed health-tech startupNew York
  4. 2016 Founded basket.ai, a conversational commerce startupLondon
  5. 2017 CTO-in-Residence for Founders Factory, the pioneering venture studioLondon
  6. 2019 Founded Gameplan (now Ryde), a venture-backed workplace management startupLondon
Where the method comes from
Prehype Founders Factory Mercurial Phoenix
What it has built
MediQuire Ryde f.k.a. Gameplan basket.ai jeevsy ACR
20+ years
as a technical startup founder & product engineer
4 weeks
from signed scope to live launch
1 fee
fixed up front — no surprise invoices
1 person
accountable for the whole build, start to finish
Why now

The hard part was never whether AI could build it.

That question closed some time in the last two years, and you have probably closed it yourself — an evening with a good model, something genuinely impressive by the weekend, then a slow stop. Not because the next feature was beyond it. Because there was no way to tell whether what you had was sound enough to build a business on, and no obvious way to go about finding out.

  • The bottleneck
    Until recently

    Engineering capacity was the scarce thing. If you could get a first version built at all, you were ahead of most of the people who had your idea.

    Now

    Anyone can get a first version built. What’s scarce is the judgement to decide what belongs in it — and to say whether what came back is actually sound.

  • The risk
    Until recently

    The risk in building with AI was that it wasn’t good enough — and you could tell, because the result plainly didn’t work.

    Now

    It’s good enough nearly everywhere, so the places it wasn’t are invisible. Confident and quietly wrong is far harder to catch than broken.

  • Your head start
    Until recently

    An idea was protected by how expensive it was to copy. The cost of building was a moat, and it bought you time you never had to earn.

    Now

    That moat drained for everyone on the same day. What protects an idea is being in the market, in front of real users, before the people who also had it.

None of that is a claim that the technology is about to get better. It is a description of what has already happened — and it happened to you and to everyone you will ever compete with at once. The advantage still on the table isn’t access to the tools. It’s the confidence to move at their full speed without quietly betting the business on output nobody qualified has read.

That confidence is the one part of this you can’t buy by the seat, because it isn’t a tool. It is an apparatus: a build you can inspect, gates that fail loudly instead of silently, and someone experienced enough to put their name to the answer. Here is exactly how it is put together →

The offer

Why not just hire an agency, a freelancer, or an AI tool yourself?

Each of the obvious alternatives solves one part of the problem and quietly drops the rest. MP Ventures is built to be the one option that doesn't ask you to trade speed, cost, or quality against each other.

  MP Ventures Traditional agency DIY AI / no-code tools Freelancers / dev shop Equity-based venture studio
Time to launch 4 weeks, fixed 3–6 months+ Days — if you already know how Unpredictable, scope creeps 6–18 months
Price clarity Fixed fee, agreed before you commit Day-rate, opens ended Cheap subscription, your time is the real cost Quoted, then renegotiated No cash cost — you pay in equity
Who's accountable One named senior person, directly Account manager relaying to a team You are, entirely Whoever's between contracts A studio partner, spread across a portfolio
How the work gets made Frontier models, orchestrated in parallel, gated by an automated suite A human team billing by the day One general-purpose chatbot, unreviewed Whatever they happen to use, rarely disclosed An in-house team shared across the portfolio
Technical & NFR judgement CTO-grade review of every AI output Usually strong, if you can afford senior staff None — ships whatever the model outputs Variable, rarely senior Strong, but diluted across many companies
What you own after 100% — code, infra, IP, docs 100%, eventually 100%, if you can maintain it Usually 100%, if it's documented A minority stake in your own company
How it works

Four stages. One month of building. Nothing open-ended.

The scoping sprint is what makes the fixed fee possible — it turns "build me a business" into a specific, buildable list before a single day of the build month is spent.

01 Free · 30 minutes

Consultation

We talk through the idea, sanity-check it against what's genuinely buildable in a month, and agree whether it's a fit — for both of us.

02 £1,000 · ~1 week

Scoping sprint

A real spec: the exact feature set, integrations, and success criteria, plus a fixed price and a fixed four-week build date. Credited in full against the build fee if you go ahead.

03 Fixed fee · 4 weeks

The build month

A full AI toolkit — product, design, code, content, ops — directed daily against the agreed scope, with weekly check-ins straight from the person doing the directing.

04 Included

Launch & handover

A live, working business. Full source and infrastructure ownership, documentation, 30 days of aftercare — and Quotidian, the desktop app your build ran on, installed on your own machine and licensed to you.

The method

Frontier models, a pipeline that has already shipped, and someone who knows when to overrule both.

“AI-powered” is doing a great deal of unexamined work on websites right now, so here is exactly what it means here. Four weeks is only a credible promise if the machine behind it is genuinely world-class — and if everything it produces has to pass a gate before it reaches you.

Frontier models

The best current model for each job, not one chatbot for all of them

Reasoning-grade frontier models take the architecture, the awkward logic and the review passes; faster models take the volume. Which model runs which job is a deliberate call, revisited constantly — the frontier moves every few months, and a toolkit that doesn’t move with it is out of date inside a single build cycle.

Orchestration

Many agents working in parallel, against written specifications

Work is decomposed into specs and dispatched to several AI agents at once, each isolated in its own branch and workspace so they cannot tread on one another’s changes. That parallelism is the real reason a calendar month buys far more than a month of one person typing.

Quality gates

Nothing lands until the whole suite is green

Every branch passes through an automated integration gate that runs the full test suite against the merged result. If it goes red, the merge is reversed and the work is rejected outright. A broken build never quietly finds its way into the thing you’re about to launch.

Standards

Conventions enforced by machine, not by memory

Repo-level checks refuse code that arrives without tests, catch accessibility and design-system drift, and hold every contribution to one bar — whoever, or whatever, wrote it. Consistency stops depending on anyone remembering the rule at 6pm on day nineteen.

And then a person says no.

Every gate above is automated, and not one of them has judgement. A test suite cannot tell you that the feature is wrong, that the data model will hurt in six months, that the launch date is optimistic, or that the thing you asked for isn’t the thing you need. Machines have become extraordinary at producing plausible software quickly. They remain entirely incapable of deciding whether it should exist.

That call — on every architectural decision, every security and performance trade-off, every “good enough to ship” — sits with someone who has spent twenty years answerable for exactly it, and who is also the person on your weekly call. The orchestration is what makes a month enough. The judgement is what makes the result worth owning.

Pricing

One fixed fee, agreed before you commit.

Non-profit & tech-for-good
£15,000 fixed

Same build, same bar, priced for mission-driven and charitable ventures.

  • Full scoping sprint credited against this fee
  • Product design, brand, and full-stack build
  • Payments, email, analytics & CMS integration as scoped
  • Security, performance & accessibility review
  • Full source, infra & IP ownership on handover
  • 30 days of post-launch aftercare
Check if you qualify

Not sure yet? Start with the £1,000 scoping sprint.

It's real, billable work — a proper spec you keep either way — and it's the only way we can responsibly quote a fixed fee for a fixed month. If you proceed to the build, the £1,000 comes straight off the total.

Ask about scoping
What's included

Exactly what the fee covers — and what it doesn’t.

Included in every build

  • Product scoping, UX and brand-consistent design
  • Full-stack build: the site or app, plus the integrations agreed in scoping
  • Hosting setup and a production-ready deployment
  • Security, performance, and accessibility review against the scope
  • An automated test suite and CI pipeline, handed over with the code
  • Documentation and a full handover of code, accounts, and infrastructure
  • Quotidian — the desktop app the build ran on, licensed to you and set up on your own machine so you and your team can keep directing the work
  • Weekly progress calls, direct with the person building it
  • 30 days of post-launch fixes and support

Not included — available separately

  • Paid advertising or media spend
  • Custom ML model training or large proprietary datasets
  • Ongoing feature development, growth or marketing after launch — see below
  • Formal compliance certification (e.g. SOC 2, ISO 27001)
  • Scope beyond what a single focused month can responsibly cover
After launch

You own it outright. Staying involved is optional, and priced before we start.

Most studios leave this deliberately vague, because a founder with a live business and no engineer is a founder with very little leverage. So it is settled in the scoping sprint instead — before a line of code is written, while you still have every option open.

Included

Take it and go

Full source, infrastructure, accounts and IP transfer at handover, with thirty days of aftercare on top. No retainer, no notice period, no dependency on us. The documentation is written so that another engineer can pick it up cold — which is the only real test of whether a handover was genuine. Quotidian comes with it either way: the app the build ran on, licensed to you, so changing what you own doesn’t require us.

Monthly fee

Continuing care

For ventures that would rather keep shipping than hire. The product stays live and patched, dependencies and security stay current, and an agreed slice of build time each month goes to whatever comes next — with the same person on your calls as during the build. Scaled to what the venture actually needs, quoted during scoping, and cancellable.

Revenue share

Or share the upside instead

For ventures with more conviction than early cash flow: an agreed percentage of revenue for a fixed term, in place of the monthly fee rather than on top of it. Capped and time-boxed — never a perpetual cut of your business, and never equity. Same work, same person, paid out of what the business earns rather than what it has raised.

Whichever you pick — including none of them — the build fee already bought you the whole thing. The retainer and the revenue share are alternatives to each other, never conditions of the build, and never a way to hold the handover hostage.

Proof of caliber

Built by this method, not adjacent to it

Both of these were made the way your business would be: one operator, frontier models, the pipeline above, and a scope held to what a focused stretch of work can genuinely finish. They are what the method produces when it is pointed at a real product.

Consumer app

jeevsy

A privacy-first personal memory app for iOS and Mac — people, purchases, articles, and photos organised into one quiet, searchable companion. On-device by default, no distraction, no dependence on the cloud.

Visit jeevesy.com →
Native iOS & macOS Privacy-first Consumer product
Curated commerce

A Collector’s Refuge

A considered, invitation-toned launch for a curated marketplace aimed at serious collectors — scarcity and craft over noise, with the institutional polish of a business built to last, not a weekend side-project.

Visit acollectorsrefuge.com →
E-commerce Brand-led Niche marketplace
Is this for you?

Being honest about fit is part of the deal.

A good fit

  • You have a validated idea and a clear first version in mind, not an open-ended brief
  • You want a working business live in weeks, not a slide deck or a prototype
  • You want senior technical judgement applied to what AI produces, not raw output shipped unreviewed
  • You're a for-profit founder, or a non-profit/tech-for-good team with a lean digital product to launch
  • You'd rather pay a fixed fee than give up equity or sign an open-ended retainer

Probably not yet

  • The idea still needs weeks of discovery before anyone could scope it
  • You need heavy enterprise integrations, formal compliance, or multi-team coordination
  • You're building on proprietary ML models or large custom datasets from scratch
  • You want a cofounder who takes a stake — this is fixed-fee delivery, and the company stays entirely yours
  • You need a large, multi-surface product — a month covers a focused, real v1, not a platform
FAQ

The questions worth asking before you commit

For a focused first version of a specific business, yes — that's exactly what the scoping sprint is for: agreeing, in advance, on a scope that's genuinely achievable in four weeks with a full AI toolkit directed by someone who's shipped products for two decades. It won't cover a sprawling platform or months of open-ended discovery, and we'll tell you plainly if your idea doesn't fit the format.

It is when it's made this way, and the safeguards are structural rather than promised. Output goes through an automated integration gate that runs the full test suite against the merged result and rejects the branch outright if anything goes red; repo-level checks refuse code that arrives without tests and catch accessibility and design-system drift. Then a veteran founder and product engineer reviews it against the same non-functional bar — security, performance, accessibility, long-term maintainability — that a senior engineer applies on any serious client project. Unsupervised AI output is genuinely risky. This isn't unsupervised.

Whichever frontier models are genuinely best at each part of the job on the day your build runs — deliberately not a single vendor, and deliberately not fixed. Reasoning-grade models handle architecture, hard logic and review; faster models handle volume; multiple agents run in parallel against written specs, each isolated in its own workspace. The orchestration layer, the integration gate and the convention checks around them are the part that stays constant, and they're the part that makes the output trustworthy. You aren't buying a subscription to a tool — you're buying the pipeline and the person directing it.

Because that reasoning never terminates — there is always a better model six months out — and because the improvement isn't accruing to you. It arrives for everyone at once, including everyone who might build what you're thinking of building. Being early in your own market is the one advantage that doesn't get handed out with the next release. And the models passed the bar for a focused first version a while ago: what sets your launch date now is scoping and judgement, not model capability. If something better lands mid-build, your build uses it — which model runs which job is a call made during your month, not a fixed part of what you bought.

Everything. Full source code, your own hosting and infrastructure accounts, all IP, and documentation to run and extend it. There's no dependency on us to keep the business running after handover — though 30 days of aftercare is included if anything needs a fix.

Only if you want to be. The handover is written so that walking away is genuinely viable — that's the point of it. If you'd rather keep shipping, there's a monthly retainer that keeps the product live and patched and puts an agreed slice of build time each month against whatever's next. And if cash is tighter than conviction at launch, an agreed share of revenue for a fixed term can stand in place of that monthly fee — capped, time-boxed, never equity, and never a perpetual cut. All of it is settled during the scoping sprint, before the build starts, rather than negotiated later when you'd have a live business and rather less room to argue. And whichever you choose, you keep Quotidian — the app the build ran on, licensed to you regardless, so you and whoever else is on your team can keep getting changes made without coming back to us — or hiring ahead of what you actually need.

It is the machine this whole operation runs on: the board every job is queued on, the agents that pick them up and work on copies of their own, the checks their work has to pass, and the one screen you and your team run it all from. Not only code — the marketing, the numbers, the research and the admin cross the same board here, and most of what crosses it is not code at all. It is not only for a founder with nobody to ask, either: a small cross-functional team gets more from it than one person does, because each of them can have work moving in a part of the business they could not have done themselves. Your build runs on it from day one, and at handover you get it as a desktop app of your own: licensed with the build, installed on your own machine, pointed at your business, with your board and your people already in it. It comes with every build whether or not you take a retainer, because a handover that leaves you unable to change what you own is not really a handover. What it does, feature by feature →

It's real work: a spec covering the exact feature set, integrations, and success criteria, which is what makes a fixed price and a fixed four-week date possible at all. You keep the spec regardless of what you decide next. If you proceed to the build, the full £1,000 is credited against the project fee.

A comparable first version from a UK agency typically runs £30,000 to £60,000 and takes two to three months, with the discovery phase alone billed at £2,000 to £8,000 before anything gets built. Here discovery is £1,000 and comes straight back off the fee, and the build is four weeks at a price fixed before you commit. But the saving isn't really the argument — the argument is that the number doesn't move. Pricing it lower would mean one of two things: rushing the review that makes AI output safe to own, or quietly making the difference back in change requests later. The change-request game is precisely what a fixed fee exists to end, so the fee is set where it can genuinely absorb a real month of work.

The scoping sprint will surface that early, before any fixed fee is agreed. From there we can usually cut a genuinely valuable first slice that does fit a month, or talk about a longer, phased engagement instead.

No equity, ever — not instead of the fee, not alongside it. This is fee-for-service, deliberately: it keeps the incentive squarely on shipping your business well and on time, rather than on acquiring a stake in it. Working like a cofounder for the month describes how the build runs, not what changes hands at the end of it. The post-launch revenue share is a different animal and worth not confusing with equity — it's a capped, time-boxed alternative to a monthly support fee, offered only once the build is delivered and paid for, and it's a way to pay for ongoing work out of what the business earns. It is not a claim on the company, its cap table, or its exit.

Registered charities, CICs, and clearly mission-driven tech-for-good ventures qualify. It's a straightforward conversation in the free consultation, not a formal application process.

Bring the idea. We’ll tell you honestly if a month is enough.

Thirty minutes, no cost, no obligation — the only thing it costs you is finding out sooner.