
With our MVP development services, you’ll be able to: test the business model and target audience’s demand; save money by implementing only the core features; launch a scalable product; get support in attracting investments
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.==. .==.MVP development services cover building the first working version of a product — the one that tests demand with real users instead of assumptions. The scope stays narrow on purpose: the features needed to validate the idea, not a finished product.
A full MVP engagement usually includes:






A ballpark range in seconds — refine it below, then talk to an expert.
MVP / new product
$25,000 – $40,000
Timeline: 2–3 months · team of ~4
Plus UI/UX design $5k–$5k · QA & project management included
This is already a lean MVP scope — the fastest, cheapest way to launch.
Preliminary estimate, refined on a call. USD.
We turn the request into a spec the build runs on, and every requirement gets an acceptance criterion precise enough that two people reading it independently reach the same verdict. An AI reviewer argues against the spec at this stage — it surfaces missing states and unresolved edges while changing them is still free. The analyst decides what goes in. Your original request is recorded separately, in your words, and kept untouched.
The designer builds the concept and the design system by hand: grid, typography, palette, components, states. The system is exported as machine-readable tokens, which become the single source of truth for both design and code. Secondary screens are then generated against that system, and the designer signs off on meaning and hierarchy.
The architect defines the project structure and module boundaries. The engineer runs a team of AI agents against it and accepts the result — code isn't written by hand. What admits a change is not an opinion but a machine gate: tests, types, static analysis, dependency and architecture checks. A second model reviews the diff as a source of hypotheses, never as the approval itself.
Agents run the test cases across functionality, interface, and security. Static analysis covers the defect classes agents miss by design. A QA engineer then checks a random slice of features blind, before reading any agent report — that slice is what shows the real gap between what agents claim and what holds.
A deploy agent prepares the rollout, runs pre-flight checks, and watches the result. Anything irreversible — production deploys, data migrations — is applied by a person, not an agent. The product ships instrumented with PostHog, so behaviour data starts landing from day one. Success is confirmed by querying the live system, not by a command exiting zero.
Delivery is checked against the request you gave us at the start, not against the spec we wrote from it — and by someone who didn't write that spec. A gap between the two is recorded as our analysis defect, not yours. Every failed acceptance, production bug, and incident goes back into the task set the process itself is tested on.
| Axis | Purrweb (agency) | In-house team | Freelancer |
|---|---|---|---|
| Timeline | 3–4 months from signed contract to App Store submission | 2–3 months just to hire the team, before development starts | Fastest to start, but no fixed delivery process |
| Cost | $30,000–$80,000, fixed after a paid discovery sprint | Salaries + overhead, ongoing regardless of MVP status | Cheapest upfront rate, but scope changes are billed ad hoc |
| Team & expertise | Dedicated PM, designer, 2–3 developers, QA — same team across the project | Full control over hiring, but takes months to reach team maturity | Single point of expertise — no built-in QA or design review |
| Code ownership & handover | Client owns the codebase from the first commit; documented handover | Full ownership by default — the team is your employees | Depends on the contract; repository access varies by freelancer |
| Risk & continuity | Team redundancy — a person leaving doesn't stop the project | Lowest external risk, but slowest and most expensive to start | No redundancy — one person's availability is a single point of failure |
MVP stands for minimum viable product — the smallest version of a product that still delivers value and can be released to real users. In practice it means shipping the core feature set first and adding the rest once usage data shows what matters.