In a focused workshop, we jointly sharpen which single assumption the MVP needs to test and which features are truly necessary for it. Online or on site with us, with a concrete scope and effort estimate as the outcome.
We build MVPs that don't end up in a dead end. Many agencies deliver quick throwaway code that has to be rewritten from scratch after validation. We come from custom development and design for scale from the start, without overloading the MVP. Strategy, design, and development come from one team, and where it makes sense, we build AI features directly into the product. A team that understands the idea before writing a single line of code.
The cost depends on the scope, i.e. how many features the first release needs. A focused MVP for a simple application usually starts in the mid five-figure range. We narrow down the effort in a discovery call.
A sharply scoped MVP is usually live in six to twelve weeks, larger projects take up to a few months. What matters is not the technology but how precisely the scope is defined.
A prototype shows how a product should look and feel, usually without real functionality. A minimum viable product is a working product that real users actually use and, ideally, pay for.
Yes. Everything we develop is handed over in full: code, concept, and access. There is no lock-in with us to keep building on it.
Building your own team costs months and fixed overhead before the first line of code is written. An MVP agency delivers an experienced, well-coordinated team right away and scales back down flexibly after launch.
We evaluate the usage data together and derive the next steps from it. On the existing codebase, the product grows step by step into a full product.
Yes. Where an AI feature is at the core of the idea or clearly increases the value, we build it in directly, such as smart search or an LLM-powered feature.
MVP software focuses on the one core function that tests the central assumption. Anything that doesn't contribute to validation deliberately comes later.
For simple validations, a no-code or low-code approach can be enough and saves time. As soon as the MVP needs real scaling or custom logic, cleanly developed MVP software is the better foundation.
