"How much does it cost to build an MVP?" is the first question every founder asks and the one most vendors answer worst. Here is the honest version, with the numbers we actually quote and the costs nobody puts in the proposal.
The benchmark bands
MVP development cost varies by an order of magnitude depending on what you're building and who builds it. These are the bands we observe across US and European deals in 2026 — treat them as ranges, not quotes:
- CRUD SaaS MVP (auth, dashboard, billing, one core workflow): roughly $40–90K from a competent team. Offshore agencies quote less; you usually pay the difference later in rework.
- Marketplace or two-sided platform: $80–180K. Two user types double the surface area — onboarding, trust, payments, disputes.
- AI-native product (LLM features in the critical path): $90–250K. More on why below.
- Fintech or regulated MVP (payments, custody, health, anything with an audit): $120–300K+. Compliance is a feature you build, not a form you file.
Our own MVP band is $60–150K, delivered in 8–12 weeks. Most full engagements start around $100K. If your idea genuinely fits in a $25K build, we'll tell you — and tell you not to hire us for it.
The five cost drivers
Every quote you receive is some function of these five variables:
- Scope discipline. The single biggest driver. An MVP with three workflows costs a fraction of one with nine. Cutting scope is a skill; most teams can't do it to their own ideas.
- Integration count. Every third-party system — payment processor, KYC provider, ERP, bank API — adds discovery, error handling, and a sandbox that behaves differently from production.
- Regulatory surface. GDPR is table stakes for EU users. Add MiCA, DORA, or US money-transmission rules and you're building audit trails and data-residency controls into v1.
- Team seniority. Senior engineers cost more per hour and dramatically less per shipped feature. A three-person senior team routinely outbuilds a ten-person junior one — with less coordination overhead and less code to maintain.
- Ambiguity. If the spec is a slide deck, someone is paying to turn it into decisions. This is why we start every engagement with a fixed-fee discovery sprint: it converts ambiguity into a priced, sequenced plan before the big money moves.
Why AI features cost more than they look
An LLM call is cheap. A trustworthy AI feature is not. The demo takes a day; production takes the budget:
- RAG done properly means ingestion pipelines, chunking strategy, retrieval quality tuning, and freshness handling — not a vector database and a prayer.
- Evaluation harnesses are non-negotiable. If you can't measure whether the model's output got better or worse after a change, you can't ship changes. Building evals is real engineering work.
- Guardrails — input validation, output filtering, fallbacks, human-in-the-loop for consequential actions — are what stand between your product and a screenshot on social media.
Budget 30–50% more for an AI-native MVP than the equivalent deterministic product, and be suspicious of anyone who quotes the same. We wrote more about the production side in shipping AI agents that survive production.
The hidden line items
Two costs rarely appear in proposals:
- Cloud burn during development. Dev, staging, and CI environments quietly rack up $2–5K a month before you have a single customer. Our answer: we host development and staging on managed on-premise infrastructure during the build, everything containerized from day one, with CI/CD pipelines that promote to AWS, GCP, or Azure at launch. You start paying cloud bills when you have a product, not before. For regulated clients we also offer EU data-sovereignty and on-prem production options.
- Maintenance. Plan for 15–20% of build cost annually — dependencies rot, APIs deprecate, models get retired. An MVP with no maintenance plan is a countdown timer.
Why our small team is priced like a big one — and ships faster
Every Binari engagement runs on Aura OS, our internal AI operating system: agentic delivery pipelines, evaluation harnesses, and institutional memory from every prior build. It's not a product we sell — it's the reason a small senior team ships at the pace clients expect from a firm three times the size. You pay for senior judgment; the leverage comes built in.
Agency vs. studio
A staffing agency rents you hours; you supply the product judgment. That works if you have a technical co-founder who can architect, prioritize, and review. If you don't, you need a MVP development company that behaves like a venture studio: opinionated about scope, honest about what not to build, accountable for the outcome rather than the timesheet. We wrote about that model in technical co-founder as a service.
The trade-off is real: a studio costs more per week than offshore body-shopping. It costs less per validated product.
What $100K buys with us
Our model, concretely:
- A fixed-fee discovery sprint first — architecture, scope, and a priced plan. If we're not the right fit, you keep the plan.
- An 8–12 week build by senior engineers, with working software demoed every week — no black-box months.
- Full IP assignment from day one, GDPR-compliant data handling, and an NDA on request.
- A production deployment on your cloud, with the infrastructure and CI/CD you'd need to raise on or scale with.
The typical band is $60–150K depending on the drivers above. For founders who want ongoing product and equity-aligned support beyond the MVP, see venture incubation.
Have a build in mind? Tell us what you're making — we reply within one business day, and the first thing you'll get is an honest read on whether it's worth building.