MVP / Product Development
AI Startup Delivery for founders: turn an idea or an AI prototype into a product real users can work with — typically in about 3 months, on a fixed budget agreed after discovery. AI speeds up the engineering; senior engineers own the architecture, reviews and quality.
Where AI Shortens the Path to an MVP
AI speeds up the work around the code and the code itself. Senior engineers keep the architecture, reviews and quality decisions.
Faster discovery and prototyping
AI helps draft user flows, requirements and clickable prototypes, so you can check the flow and the scope with users sooner.
AI-assisted coding, docs and tests
Engineers use AI tools for code, documentation and tests. Every change passes senior review and automated checks before it is merged.
Guardrails for AI features
When the product includes AI features, we add guardrails and quality evaluation, so answers stay reliable and data stays under control.
AI in the product is optional
Whether the MVP needs AI features at all is decided in discovery, based on the value they add for your users.
Is This the Right Fit?
A good fit if
You have an idea that needs shaping
Instead of static wireframes, we build an AI-assisted prototype with real logic. It makes the idea easy to understand and ready to show to your first users.
You have an AI prototype that needs to become an MVP
It works in a demo. We turn it into an MVP with tests, security and a codebase you own before real users arrive.
You are not sure it can be built
For R&D or technically unclear tasks, we check feasibility first, before you commit the full budget.
Better served elsewhere if
You run an established product and need a new module
A scoped project with its own discovery and delivery plan fits better.
Custom Software DevelopmentYou need engineers inside your own team
Engineers join your team and work under your technical lead and processes.
Team ExtensionYou have a legacy system that needs a refresh
Moving an existing system to a modern stack is a modernization project, not an MVP.
Application Modernization
One Team from Idea to Launch
Interviews and hypothesis
We talk to the people who own the problem and to future users, then agree on the value hypothesis and the metric that proves it.
Scope for the first release
Features are prioritised so the MVP holds only what proves the idea. A clickable prototype collects early feedback.
What you get:
- MVP scope and priorities
- Clickable prototype
- Success metrics
User flows and wireframes
Key scenarios are mapped and simplified, so new users understand the product without a manual.
Usability testing
We test the prototype with real users and remove friction before development starts.
What you get:
- Tested user flows
- Design system ready for growth
AI-assisted development
Web, mobile and backend built with AI tools under senior review, in short sprints with a demo of working software.
Production foundations
Modular architecture, clean APIs, cloud infrastructure as code and product analytics built in. AI features only where they add value.
What you get:
- Production-ready code
- Infrastructure as code
- Product events tracked
Automated tests
Critical user flows are covered by automated tests that run on every change.
Release checks
Exploratory testing before each release, plus performance and security checks.
What you get:
- Stable releases
- Security checked
Risks a Well-Built MVP Removes
Building the wrong thing
Discovery and a clickable prototype test the core hypothesis before engineering budget is spent.
A dead-end codebase
A modular architecture and an evolution path agreed in discovery keep the MVP extendable, not disposable.
Security and data issues
Authentication, access control and data protection are set up properly from the first release.
An AI demo that cannot go to real users
A vibe-coded prototype without tests, security or clear code ownership gets an engineering backbone before it meets real users.
Running out of budget before launch
The first release is cut to what proves the idea, and the cost is known before development starts.
Launching without data
Product analytics are built in from day one, so the next iteration is based on how users actually behave.
A Typical 3-Month MVP Plan
The exact plan and budget are fixed in discovery; this is how a typical web or mobile MVP is structured.
- Weeks 1–2
Discovery
- Workshops and user interviews
- The one metric that proves the idea works
- MVP scope, architecture outline and fixed budget
- Weeks 3–4
Design
- User flows and wireframes
- Clickable prototype tested with real users
- Usability feedback round
- Weeks 5–10
Build
- Short sprints with a demo of working software
- Core features and integrations
- Automated tests and CI/CD
- Weeks 11–12
Launch
- Beta with first users
- Fixes and performance tuning
- Production release, analytics and a plan for the next iteration
What You Get at the End
A live product
- Web and/or mobile app in production
- First users working in it
- Admin panel for content and users
Proof from real users
- Analytics on the metric that proves the idea
- Feedback from the beta
- A clear answer on the core hypothesis
Code and IP you own
- Source code and designs in your accounts
- Cloud infrastructure as code
- Automated tests and CI/CD
Ready for the next step
- Architecture that takes new features
- Backlog shaped by real usage
- Continue with our team or hand over
Production-Ready MVP vs Quick Prototype
| Aspect | Quick prototype | Production-ready MVP |
|---|---|---|
| Purpose | Demo an idea | Serve real users and prove demand |
| Architecture | Hard-coded shortcuts | Modular, ready to extend |
| Security | Usually skipped | Authentication, roles, data protection |
| Testing | Manual clicks | Automated tests for critical flows |
| Analytics | None | Product events and dashboards |
| After traction | Rewrite from scratch | Evolve the same codebase along a path agreed in discovery |
| Ownership | Often tied to a no-code vendor | Full source code and IP are yours |
How We Work Together
Choose a fixed budget when you need a predictable timeline and cost, or agile delivery when you want to shape the product sprint by sprint.
We forecast the timeline and the budget before development starts.
A short discovery turns your idea into a scoped first release. Then we give you a timeline and a budget for it, and you accept the work stage by stage.
Scope fixed in discovery
Features, user flows and acceptance criteria for the first release are documented before the build.
Budget known up front
The budget is agreed after discovery, not left open-ended.
Predictable timeline
A typical MVP takes about 3 months; the exact plan is set in discovery.
Stage-by-stage acceptance
You review a demo and accept the result at agreed checkpoints.
When priorities shift, we reprioritise within the agreed budget. Larger changes go through a simple change request, so you see the effect on scope and budget before deciding.
Why Build Your MVP with Smartym Pro
You own the code and IP
Source code, designs and infrastructure are transferred to you under the contract.
One cross-functional team with senior ownership
Analyst, designer, engineers and QA work together from discovery; senior engineers are accountable for architecture and quality.
AI-accelerated, not vibe-coded
AI speeds up discovery, coding and testing. Every change still passes senior review, automated checks and QA.
MVPs We Have Built
What Founders Say
MVP Development for Bundle Loyalty System
The current product version has convinced stakeholders of its technical merits and future marketability post-development. Smartym Pro’s responsiveness, flexibility, and willingness to invest considerable attention in the solution’s viability continue to impress.
Co-Founder, Bundle Loyalty
Startup Sales Platform MVP
Smartym Pro has been very detail-oriented in all aspects of the project, from cost and quality of work to timelines and compliance. The system has a low rate of error and issues are resolved within 48 hours. The team is collaborative and communicates well.
Founder, Admark
Software Development for Blockchain Company
The solution worked flawlessly and was completed long before other elements of the launch. Smartym Pro asked insightful questions, offered helpful advice, and taught the internal team best practices. Their affordable pricing and quick turnarounds made the collaboration enjoyable.
Managing Director, Peloton Blockchain
Tools and Technologies We Work With
AI & LLM platforms
- OpenAI
- Anthropic Claude
- LangChain
Backend
- Node.js
- Python
- Java
- .NET
Frontend
- React
- Next.js
- Vue.js
- TypeScript
Mobile
- iOS / Swift
- Android / Kotlin
- React Native
- Flutter
Data & Cloud
- PostgreSQL
- MongoDB
- AWS
- Google Cloud
- Docker
Frequently Asked Questions
Sharing our experience
Have an idea worth testing?
Tell us about it — we will suggest the smallest product that proves it, then fix scope and budget after discovery.