
Before we build, we clarify in a workshop what the application really has to do — requirements, user roles, processes, and priorities. That's how we avoid the most expensive mistake in a web app project: a cleanly built system that misses the actual need. Digital or on-site, with the project team and our developers around one table.


Many web app agencies are either pure design studios or pure dev shops. We bring strategy, design, and development together under one roof, which makes the difference for applications with real business logic. From our relaunch and platform DNA, we know how to build systems that don't just work at launch but hold up for years. And when AI features are meant to go into the product, that comes from the same hand.
It depends on the scope of features. A lean first version (MVP) starts in the low five figures, complex platforms run significantly higher. We scope it together up front so a reliable number is in place before the start.
A first usable version is often achievable in 8 to 16 weeks. The exact timeframe depends on architecture, integrations, and the number of workflows.
A website informs, a web app lets users work: sign in, process data, run through workflows. That brings different requirements for architecture, security, and maintenance.
A freelancer can be a cheap way to start but becomes a single point of failure as soon as the app grows or the person is no longer available. A web app agency brings a team that secures cover, handover, and long-term operation.
Yes. As a SaaS agency we develop multi-tenant applications with subscription models, user management, and the architecture a product needs to succeed in the market.
Yes, completely. Code, documentation, and access credentials are handed over in full. No dependency on us as the sole service provider.
In most cases, yes. We start with a code audit to assess condition and risks, and define the next steps on that basis.
Both. In the development process we use AI for routine work and faster iterations. And we build AI features directly into the product, such as smart search or recommendations. How far that goes is something we clarify on our AI integration page.