Whether it starts as a napkin sketch, a pitch deck or a project another team left half-built, it leaves as
working software with real users in it. Our agents build at AI speed; senior engineers and designers review and
own every release. You get the pace of automation with the judgment of people who have shipped for a decade.
Most startups don't die of bad engineering — they die of unvalidated concepts, discovered too late and too
expensively. The entire point of an MVP is to buy the answer cheaply: is this worth building big? That makes two
things non-negotiable — the build must be fast enough that the answer arrives while it still matters, and
instrumented well enough that the answer is a number, not a feeling. Every MVP we ship launches with analytics
mapped to the one question it was scoped around.
The decisive work happens before the first sprint
Days 1–3: discovery and scope lock. We pin down the real problem, the riskiest assumption,
and the smallest release that tests it. Scope is locked in writing — that's what makes a fixed price possible.
Days 4–7: design direction and system. Flows and interface for the core value, plus the
design-system seed your product grows on. Prototypes carry real model output, never placeholder intelligence.
Days 8–26: build, live weekly. Agents draft, engineers review, and every Friday you click
through the real product on a live URL. No slide-deck progress reports.
Days 27–28: launch and learn. The product and its analytics go live together. Week one
produces evidence, not impressions.
One team, research to release
The people who run your discovery are the same people who design the flows and ship the code — so what launches
is still the thing the evidence pointed to, with nothing lost between a research firm, a design shop and a dev
agency. And because we also build agents and
automation, your MVP is AI-native from its first commit — not a product that
will need retrofitting the moment it works.
Fewer features, better answers. We put every "must-have" through the same test: does it change the launch question? Most don't, and the data would have killed them anyway.
Senior judgment, AI speed. Agents do the recurring 80%; people with 10+ years shipping decide the 20% that matters.
You own everything. Code, design files, infra, data — yours from the first commit, portable to any team.
Fixed prices, fixed timelines
Scoped on a discovery call, then the number holds. Prices in USD.
Clickable Prototype
$9,900
1 week
For pitching, testing and aligning stakeholders before you build.
Interactive prototype wired to real AI output — not lorem ipsum pretending to think
Prices are per project for the locked scope; changes are re-quoted before work continues. Ongoing care plans
available after launch.
Frequently asked questions
How can you ship an MVP in four weeks?
Our agents write the first draft of research summaries, designs and code at a speed no traditional team matches; senior engineers and designers review, correct and own every release. Four weeks is not a compressed eight — it is what development looks like when the busywork is automated and humans only do the judgment work.
How much does MVP development cost?
Fixed prices: $9,900 USD for a clickable prototype in one week, $24,900 for a working MVP in four weeks, and from $49,900 for a production-grade MVP in six. No hourly billing, no scope surprises — the discovery call defines what ships, and the price holds.
Who owns the code, design and IP?
You do — completely, from the first commit. Repository, design files, infrastructure and data are yours on delivery day. Keep us for the next phase or hand everything to any team; nothing is locked to us.
Can the MVP go straight to production?
The Working MVP is a real deployed product — many clients run it with early customers as-is. When you are charging money or facing an enterprise security review from day one, the Production tier adds the hardening, permissions and monitoring that stage demands.
What if my idea is a slide deck or a half-built project?
Both are normal starting points. A deck goes through a short discovery to become a testable scope; a stalled codebase gets an audit first — we tell you honestly what is salvageable, then quote the path to a working release.