Services · MVP Development for Startups
Get your MVP in front of real users without burning your runway
We help founders decide what to build first, build it in short iterations and launch it. We use AI tools to move faster on design, code and tests, so you learn from real users sooner. Your MVP is built on a foundation that can grow, so you don't start again after validation.
The problem
Most startups don't fail for lack of ideas. They spend time and money on the wrong things.
Runway goes on features nobody uses, sprints that run long, and shortcuts that turn into technical debt. Hiring an in-house engineering team before you have product-market fit adds cost and risk at the worst moment.
AI makes it quicker to produce a first version, but it does not tell you what to build. The hard part is still scope: which few features prove the idea, and which can wait.
Who this is for
- Founders with an idea who need a working first version
- Startups that have a prototype and need software ready for real users
- Companies launching a new product line and wanting to validate it quickly
- Teams that want a dedicated engineering partner before hiring in-house
Common use cases
- Web, SaaS and mobile MVPs (iOS and Android)
- AI-powered products and features, such as assistants, automation and document or image understanding
- Prototypes turned into production-ready software
- Internal tools and portals that prove a new business idea
- A first release plus a plan for what comes next
Scope
What you can expect
An MVP scope focused on the features that matter most
User flows, wireframes and an interactive prototype to test before building
Working software released in short iterations
Automated tests and a CI/CD pipeline from the start
Analytics so you can see how real users behave
A roadmap for scaling after launch
Our approach
We use AI to work faster. People are responsible for the result.
- 01
Discovery and scoping
We study your business model and target users and define a small scope with the highest impact.
- 02
UX/UI design
Wireframes and clickable prototypes let you test ideas with users before development starts.
- 03
Agile development with AI
Sprints with continuous testing. AI speeds up coding and tests, and engineers review everything and own the architecture.
- 04
Launch and scale
We release, read the user analytics and plan the next iterations.
Evidence
Related case studies
Slide Machine and 3D Crafter are AI-enabled products we built with AI-assisted engineering.
#E-commerce
Slides Generator - Crafting Impactful Business Presentations Effortlessly
Slide Machine is an AI solution that helps professionals create polished business presentations, developed with AI-assisted engineering.
#E-commerce
3D Crafter - Mastering Your Innovative Marketing Ideas
3D Crafter is an AI-enabled solution for turning construction projects into immersive 3D visuals, developed with AI-assisted engineering.
#Education
Startup Sim – A Web-Based Business Simulation Platform for Modern Learning
Empowering Business Learning Through Startup Simulation with Startup Sim Startup Sim is an interactive web-based platform designed to replicate real-world busin
Engagement models
Start small, then grow with confidence
We do not force every project into the same package. Scope and commercial terms are agreed with you after we understand the problem.
Fixed-scope discovery
A short, paid piece of work to clarify the problem, review your current system, and agree the scope, risks and plan before you commit to a bigger build.
Paid pilot
A small project with a fixed end date that tests the approach on one real workflow or module, with clear criteria for success.
Milestone-based delivery
Set deliverables with agreed acceptance criteria, for work that can be scoped with confidence.
Monthly engineering
A dedicated team working in your process on an ongoing roadmap, with a shared backlog, regular reports and clear responsibilities.
FAQ
Common questions
How long does an MVP take?
It depends on the scope. We agree a small first release in discovery and plan it in short iterations, so you see working software early. We don't promise a number before we know the scope.
Will we have to rewrite the MVP when we grow?
That is what we design against. We build a sound architecture from the start and keep technical debt visible, so the MVP can grow into the product.
Do you use AI to build the MVP?
Yes. We use AI tools for design, coding and testing, and engineers review and test everything. We also build AI features into your product when they help users.
Do we need a technical co-founder?
Not to get started. We can act as your engineering partner, and we hand the product over cleanly when you build your own team.
Have an idea you want to test?
Tell us what you are trying to achieve. We will give you an honest view of the right way forward.