MVP Development for Education & EdTech in Budapest
We help universities, schools, training providers, and EdTech platforms in Budapest with Validate your idea fast, iterate with confidence.
What we bring to Education & EdTech
Rapid Prototyping
Interactive prototypes to test UX and validate concepts quickly
Lean Architecture
Clean, scalable code that grows with your business — not throwaway work
User Analytics
Built-in tracking to measure engagement and validate assumptions
Feedback Loops
In-app feedback collection and user session recording
Investor-Ready Demos
Polished presentations and live demos for fundraising
Growth Foundation
Architecture that supports 10x growth without a rewrite
Working with a team that understands Education & EdTech made all the difference. They knew our challenges before we explained them.
— Education & EdTech Client
The journey for Education & EdTech
Idea Workshop
Refine your concept, identify core features, and define success criteria
Rapid Design Sprint
1-week design sprint to create user flows and visual designs
Focused Build
4-8 week development sprint focused on core value proposition
User Testing
Beta testing with real users, gathering feedback and metrics
Iterate & Launch
Refine based on data, then launch to your target market
The full picture
Go from idea to working product in as little as 6-8 weeks
Validate your market hypothesis before committing full investment
Attract investors with a functional, polished prototype
Build on a foundation that scales — no throwaway code
Reduce risk with data-driven iteration and user feedback
Save 40-60% versus traditional development approaches
Common questions
A prototype demonstrates the concept visually. An MVP is a working product with core features that real users can use — it validates your business model, not just the idea.
Most MVPs range from £15K-£60K. The cost depends on complexity, but we focus on building only what is needed to validate your core hypothesis.
Yes — we build MVPs with clean architecture and best practices. Your MVP becomes the foundation for your full product, not disposable code.
We use the MoSCoW method and impact-effort mapping to identify the minimum feature set that delivers maximum learning and value.
We help prepare investor-ready demos, technical documentation, and architecture plans that demonstrate scalability to potential investors.