Short answer
A typical MVP for a funded startup costs between $30,000 and $120,000 depending on scope, platform, and whether AI is in the core of the product. At $30,000 to $50,000 you get a focused single-workflow web app with one user role. At $60,000 to $90,000 you get a multi-role product with a mobile or native layer. At $100,000 to $150,000 you get a regulated product, a marketplace, or an AI-core product with production infrastructure. Timeline for a well-scoped first version is 4 to 5 weeks from kickoff to a working first release.

What a funded startup is actually buying
Most MVP cost guides are written for someone who does not know what they are building yet. This one is for a funded startup: you have capital, you have a product idea, you need to know what a first release will cost so you can plan the rest of your runway.
The short answer for most funded startups is $30,000 to $120,000 for a first working release, with a well-scoped build taking 4 to 5 weeks from kickoff to a version real users can test. The wide range is not a hedge: it reflects real differences in what you are building. A focused single-workflow web app and a regulated two-sided marketplace are both MVPs; they are not the same build.
This article breaks down what each budget band actually delivers, what drives the number up, and what the most common budget mistakes look like at this stage.
MVP development cost by budget band
$30,000 to $50,000: one workflow, one user type, web
At this budget you can build a focused web application that does one job for one type of user. A well-scoped build at this level includes: a working authentication and onboarding flow, one core feature set (the job the product exists to do), a basic admin view, and enough infrastructure to run reliably under early user load. Design is functional: a consistent system rather than a polished brand experience.
What is not included: native mobile, multiple user roles with different permissions, third-party integrations beyond one or two APIs, AI or ML components, and compliance infrastructure. Timeline at this budget with a focused team: 4 to 5 weeks.
This budget is right for a startup that has a clear hypothesis to test with a specific user type and does not yet know whether the core workflow is something people will pay for. Spend less on polish, more on learning.
$60,000 to $90,000: multiple roles, mobile layer, or first integrations
At this level you can add meaningful complexity to the product. A build in this range typically covers one of: a second user role with different permissions and flows (a buyer and a seller, or a customer and an agent), a React Native or cross-platform mobile layer on top of the web app, or a meaningful integration with a third-party system (a CRM, an ERP, a payment provider, or an industry-specific data source).
Design at this level is more considered: you have budget for a proper design phase, a component system, and responsive layouts that work well on multiple screen sizes. Infrastructure includes automated testing, a staging environment, and basic monitoring.
What is not included at this budget: AI in the core of the product, compliance infrastructure, and a native iOS or Android app (cross-platform is included; native is not). Timeline: 6 to 9 weeks depending on integration complexity.
$100,000 to $150,000: regulated product, marketplace, or AI-core
Three types of product regularly cost $100,000 or more to build to a first release:
- Regulated products (fintech, healthtech, legal) where compliance infrastructure is required from the start: data residency, access controls, audit logs, and the legal review cycles that slow every milestone.
- Two-sided marketplaces where you are building two separate products simultaneously: the supplier side and the buyer side, with matching logic between them.
- AI-core products where the AI is not a feature bolted on but the mechanism that makes the product work: an underwriting tool, a document intelligence platform, a recommendation engine that needs to perform from day one to retain users.
At this level the build is more complex, but so is the product. The budget is not padding: it reflects the genuine engineering work required to build something defensible in a regulated or technically demanding market. Timeline: 8 to 14 weeks.
What drives the cost up
Most MVP budget surprises come from five places.
Scope that grew during design. The most reliable cost driver is finding out during the design phase that the core workflow is more complex than it looked on a brief. A "simple booking flow" can involve availability logic, payment escrow, cancellation rules, notifications, and dispute handling. A good studio surfaces this in discovery before the build starts. A studio that does not surface it bills for it later.
Third-party integrations. Every integration with an external system adds unpredictable work. APIs change, documentation is wrong, rate limits are undocumented, and sandbox environments behave differently from production. Budget one to three days per integration for a straightforward API and up to two weeks for a legacy system or poorly documented enterprise tool.
Compliance requirements. HIPAA, FCA, PCI DSS, and SOC 2 all require infrastructure and process work that has nothing to do with building the product. If you are in a regulated market, get the compliance requirements in scope before the architecture is designed, because adding them afterwards is expensive.
Multi-platform launches. Every additional platform (iOS native, Android native, web) is a separate codebase with separate testing and separate design decisions. Cross-platform frameworks (React Native, Flutter) reduce this significantly but do not eliminate it. If the product must launch on iOS and Android and web, budget accordingly from the start.
Post-launch ambiguity. Many build budgets do not include the first month of changes after real users show up. Real users reveal things a controlled test does not: edge cases, missing flows, performance issues at load. Budget a minimum of 15% of the build cost for the first iteration cycle after launch.
What a week-by-week timeline looks like
For a $40,000 to $60,000 web application MVP with a focused scope, a realistic week-by-week breakdown looks like this:
- Week 1: Discovery and data profiling. Architecture agreed in writing. Design system started. Any third-party API credentials confirmed. At the end of this week you have a fixed scope and a delivery plan, and both sides have signed off.
- Week 2: Core backend built: data model, authentication, API layer. Basic frontend scaffolding. Integration work started in parallel if relevant.
- Week 3: Core workflow complete end-to-end in a staging environment. Design applied to core screens. First internal review with real data.
- Week 4: Edge cases handled, error states designed, admin views built, automated tests written. Staging environment handed to the client for internal testing.
- Week 5: Feedback addressed. Production environment live. Monitoring configured. First real users onboarded.
This timeline requires that scope is fixed at the end of week 1, data and credentials are available, and feedback cycles are fast (within 24 hours). Delays in any of these extend the timeline. The most common cause of a 10-week MVP that was scoped for 5 weeks is a two-week feedback gap during design.
What the money pays for
At $50,000 for a five-week web MVP, the rough budget allocation typically looks like this:
- Engineering (backend + frontend): 60% to 65% of the total. Two or three engineers for five weeks.
- Design (UX + UI): 15% to 20%. One designer for the first three weeks, part-time in weeks four and five.
- Project management and QA: 10% to 15%. A lead who runs discovery, manages the sprint, and owns the delivery plan.
- Infrastructure and tooling: 5% to 8%. Cloud hosting, CI/CD, monitoring setup, and any third-party API costs during the build.
What this does not include: the ongoing monthly cost of running the product after launch (cloud hosting, third-party API fees, support), post-launch development cycles, or any compliance or legal work. These are real costs that need to be in your runway calculation even if they are not in the build budget.
Questions to ask before signing a quote
A good studio gives you a fixed scope before the first invoice. A scope that is worth signing includes:
- Named inputs and outputs of the system (what goes in, what comes out, where it goes)
- A feature list with each item explicitly in or out of scope
- The performance or accuracy target (if there is an AI component, what constitutes acceptable performance)
- The infrastructure it runs on and who owns the accounts
- Exit criteria: what the studio delivers at handover, and what constitutes done
- IP ownership: who owns the code, the design files, and any trained models
- Post-launch support terms and pricing
If any of these are missing, ask for them before signing. A studio that cannot answer these questions has not yet scoped the work.
Our MVP development service includes a fixed-scope proposal before the first invoice, with delivery from kickoff to a working first version in 4 to 5 weeks. See our guide to building an MVP for the detailed process, and our AI agent development cost guide if the product is AI-core.
Common budget mistakes at the funded startup stage
- Underpricing the design phase. Founders who have lived with the product idea for months underestimate how much design work is needed to make it legible to a new user. Cut the design phase and you ship something that works but that users find confusing.
- Treating the MVP as the final architecture. A build that assumes the MVP will be thrown away and rebuilt produces something disposable. A build designed for continuity costs slightly more upfront and much less over the next 12 months.
- Building for scale on day one. A product with ten users does not need a Kubernetes cluster. Infrastructure that is over-engineered for current load is wasted budget that should have gone into the product.
- No post-launch budget. The first real user feedback always reveals something the test users did not. Budget a minimum of $5,000 to $10,000 for the first post-launch iteration cycle, or plan to fund it from the next tranche.
- Delaying the security review. A product that goes into a regulated market or that handles user data needs a basic security review before launch. Adding it after launch means rebuilding things that would have cost much less to build correctly the first time.
From our work
Related: MVP development
Frequently asked questions
How much does an MVP cost for a funded startup?
Most funded startups spend between $30,000 and $120,000 on a first working release. The lower end covers a focused single-workflow web app built in 4 to 5 weeks. The upper end covers a regulated product, a two-sided marketplace, or an AI-core product. Timeline and cost are driven primarily by scope, not by the number of weeks booked.
How long does MVP development take?
A well-scoped MVP with a focused team takes 4 to 5 weeks from kickoff to a working first version. Complex products with multiple user roles, native mobile layers, or regulated infrastructure take 8 to 14 weeks. The most common reason an MVP takes longer than planned is a scope that was not fixed before the build started.
What is included in an MVP development quote?
A complete quote should include engineering, design, project management, QA, and infrastructure setup. It should explicitly name what is out of scope. It should not include ongoing hosting costs, post-launch development, legal or compliance work, or third-party API fees unless those are specifically agreed. Ask for a line-by-line breakdown if the quote is a single number.
Should an MVP be built to last or built to throw away?
Built to last. The cost difference between an MVP built on a modular, maintainable architecture and one built to throw away is small at build time and large over the first year of iteration. A good studio designs the architecture so the MVP can grow without rebuilding. Ask specifically about the data model and API design decisions: these are the things that are expensive to change after launch.
What is the difference between an MVP and a prototype?
A prototype is a testable model used to validate an idea, usually built without production code. An MVP is a real, working product that real users can use. A prototype answers the question "will people want this?" An MVP answers the question "can we build this and will people pay for it?" Most funded startups are building an MVP, not a prototype, though a short discovery phase to validate the core workflow before committing to the full build is usually worth the investment.
Can I build an AI-powered MVP for under $100,000?
Yes, if the AI component is well-defined. An AI feature that calls an existing API (OpenAI, Anthropic, a computer vision API) and is scoped to one specific task can be included in a $50,000 to $80,000 build. An AI-core product where the model needs to be trained, evaluated, and maintained from day one costs more. The distinction is whether you are using AI as a component in a larger product, or whether the AI is the product.

