AI MVP development at Kortex Labs takes your idea to a launched AI product real users can sign into. Fixed price from $12,000, one sharp core workflow, built by the engineer you talk to, and you own 100% of the code. Free quote within 24 hours.

An AI MVP is the smallest version of your product that real users can use and that you can learn from. It is not a demo that dies on a laptop after the board meeting. This service is for founders who need to validate an AI product and start getting feedback without spending the whole budget on version one.

What's included in our AI MVP development

  • Sharp scoping — one core workflow done well, not ten half-built
  • Backend + frontend + LLM integration — a complete, usable product
  • Auth, billing & core workflows — everything a first user needs
  • Deploy, runbook & handover — launched and documented, not left half-done

Why founders pick us for MVP development

You work directly with a senior engineer, we move in tight weekly iterations with working software each week, and we ship to production — not into a slide deck. We start with the simplest stack that works (usually RAG before fine-tuning, managed APIs before custom infra) so your money goes into product, not over-engineering.

What does AI MVP development cost?

The AI Product MVP package starts at $12,000, fixed price. That covers architecture and scoping, backend, frontend and model integration, authentication, billing, the agreed core workflow, deployment and a runbook. Messy data, several integrations or a regulated domain move the number up, and the AI development cost calculator shows by how much. For the reasoning behind each line, read how much it costs to build an AI app, and for why the price is fixed rather than hourly, see fixed price vs hourly AI development.

How long does an AI MVP take?

Most AI MVPs ship in 6–12 weeks depending on scope. You get a realistic timeline and a fixed price after a free scoping call, and working software every week of the build.

Frequently asked questions

What makes a good AI MVP?

One sharp, valuable workflow shipped end to end — something users can actually do, that proves the core idea. Everything else waits for v2.

Will it scale after the MVP?

Yes — we build production-grade from day one (typed, tested, monitored), so the MVP becomes the foundation, not throwaway code.

Who owns the code?

You own 100% of the source and IP on delivery.

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