SERVICE
AI MVP Development
Prove the idea with real users, on production foundations.
What is an AI MVP?
An AI MVP (minimum viable product) is the smallest version of an AI-powered product that real users can use to prove its value. It includes the core AI capability, such as an LLM assistant, a vision model, or a voice agent, plus just enough product around it to be used, measured, and improved. A good MVP is built to grow, not to be thrown away.
THE PROBLEM
Founders and product teams need to prove an AI idea quickly, but most prototypes are demos that break with real users, and rebuilding them for production costs as much as building properly the first time.
OUR SOLUTION
We build AI MVPs as the first version of a real product: the smallest feature set that proves value, on an architecture that can grow into a full platform. You get working software every week, a launch-ready product, and full ownership of the code and IP.
HOW IT WORKS
How we build an AI MVP
- 01
Scope, weeks 1 to 2
We define the one problem the MVP must solve, the users who will test it, and the metric that proves it works.
- 02
Design, weeks 2 to 4
Architecture, AI approach, and key screens, approved before production code starts.
- 03
Build in weekly sprints
Working increments every week that you can click through and share.
- 04
Launch and learn
Release to first users with analytics in place, then decide the next version from real usage.
TYPICAL STACK
- Next.js
- React Native
- FastAPI
- Node.js
- LLM APIs
- Vector databases
- Supabase/Postgres
TIMELINE
Focused MVPs typically take 4 to 8 weeks. Our project-based engagements run 4 to 16 weeks depending on scope.
Key features
- Scope workshop to define the smallest valuable product
- LLM, RAG, vision, or voice features at the core
- Production backend with a web or mobile frontend
- Usage analytics to learn from first users
- Architecture ready to grow from MVP to platform
Use cases
- Startups validating an AI product idea
- Companies testing a new AI-powered offering
- Internal AI tools piloted with one team
- Investor demos that real users can try
Benefits
- Real users in weeks, not quarters
- No throwaway prototype to rebuild
- Full ownership of code, models, and IP
- Clear data on what to build next
COMPARE
Production-grade MVP vs. throwaway prototype
| Criterion | Production-grade MVP | Throwaway prototype |
|---|---|---|
| Built for | Real users and growth | A demo |
| After validation | Extend the same codebase | Rebuild from scratch |
| Reliability | Monitoring, error handling, CI/CD | Works while someone is watching |
| Evidence | Usage tracked from day one | Anecdotal feedback |
FAQS
AI MVP Development: common questions
How long does it take to build an AI MVP?
Focused MVPs typically take 4 to 8 weeks, and our project-based engagements run 4 to 16 weeks depending on scope. You see working software every week.
How much does an AI MVP cost?
It depends on the AI capability, the platforms (web, mobile, or both), and the integrations. We do not publish fixed prices. After a free discovery call we scope the MVP and propose milestone-based pricing.
Will we own the code?
Yes. Source code, model weights, and training pipelines transfer to you. There is no lock-in, and your own team can take over at any time.
What happens after the MVP launches?
You choose: continue with us on a retainer or with a dedicated team, or hand over to your in-house engineers. Either way the MVP is built to be extended, not replaced.
Can you build an MVP for a non-technical founder?
Yes. We turn the idea into a scoped product, make the technical decisions with you in plain language, and set up everything needed to run it after launch.
Discuss this project
Tell us what you're building. We'll show you exactly how we'd engineer it.
- Free 30-minute discovery call
- You own the code, models, and IP
- Working software every week