Custom Software Development

You do not just need code. You need a reliable way to deliver valuable software continuously without renegotiating scope, quality, and priorities every cycle.

Our custom software development service combines fixed capacity with flexible scope. You reserve a small, focused team. Together, we continuously decide which work package creates the most value next.

The result is not a bloated project structure or hourly billing in the dark. It is a clear delivery model with transparent prioritization, strong technical discipline, and usable outcomes at the end of every cycle.

Start with a 30-minute call

Our Approach

Custom software development works best when collaboration and delivery run on a clear rhythm. That is why we work in fixed 10-day cycles with reserved capacity. Scope stays flexible so we can keep focusing on the most valuable work package at any time.

Fixed Capacity, Flexible Scope

Each cycle reserves an agreed amount of team time for you. That capacity is reliably available. What gets done within that capacity is driven by a prioritized list of work packages.

If demand exceeds the time available in a cycle, we move the remainder into a later cycle or increase capacity deliberately. That keeps the engagement predictable without losing focus on business value.

A Small Team With Clear Roles

We work with a focused team shaped around three perspectives: client contact for goals and priorities, development focused on technical quality, and development focused on UX.

That mix keeps decisions fast, protects the technical substance, and makes sure new functionality is not only working but actually usable. We use AI-assisted development where it helps. We remain fully accountable for what gets delivered.

Prioritization By Business Value

There is always a clearly prioritized list of work packages. We start with the most valuable package, complete it, and then move directly to the next. If your priorities change, we adjust the order as soon as completed or in-flight work allows it.

You are not buying a rigid project scope. You are buying dependable delivery capacity for the work that matters most now.

Work Packages Ready To Start

Before we start a work package, we clarify the goal, expected outcome, what is included and excluded, acceptance criteria, and relevant constraints such as compliance, performance, brand, or integrations.

If a package is too large or too vague, we cut it smaller or clarify it first. That reduces friction, protects delivery speed, and avoids late misunderstandings.

Done Means Production-Ready

A work package is not done because someone says it is done. It is done when the acceptance criteria are met, automated tests verify the implementation, the build and delivery pipeline runs cleanly, and the change is integrated into the main product.

  • Acceptance criteria met
  • Automated tests in place and passing
  • Build and delivery pipeline runs repeatably
  • Change is integrated into the main product
  • Deployment to the agreed environments is complete
  • Short usage or behavior note when something visible changes

That protects you from the usual theater of half-finished features that look demo-ready but are not operationally solid.

Quality And Usable Outcomes Every Cycle

We do not start a new cycle with known open bugs in production. If a defect appears, fixing it takes priority. That may reduce the amount of new functionality in the cycle, but it protects what is already live for your users.

By the end of each cycle, you should have two things: a stable production system that remains usable for real users, and a staging environment where cleanly implemented work is visible even if some functionality is not yet fully rolled out.

We support that with a shared view of what is done, what is in progress, what comes next in priority order, and which risks, uncertainties, or decisions need your attention.

Ballpark Pricing

To give a ballpark figure: a typical 10-day cycle with the team shape described above is around 15,000 EUR.

  • A team of 3
  • Supported by multiple AI agents for different tasks

This is intentionally phrased as guidance, not a rigid price tag. The actual setup depends on how much capacity you reserve, how clearly work packages are prepared, and how much usable substance already exists.

The more important point is the delivery model behind the number: reserved capacity, clear prioritization, and usable outcomes at the end of every cycle.