01
Software & Backend
Applications and services.
For domain logic, durable enterprise applications, services and batch processing.
Technologies & Tools
Technologies we use to
build solutions.
Our projects range from tailored enterprise applications and web solutions to enterprise integration and distributed industrial platforms. We combine established technologies with modern cloud, container and development tools.
Technology overview
Proven building blocks.
Combined deliberately.
The overview shows a deliberately selected cross-section from our work. It is neither a complete skills matrix nor a prescription for new projects.
02
Web & Frontend
Modern user interfaces.
For browser-based applications and interfaces that make complex processes easy to understand and use.
03
Cloud & Platform
Deploy and operate.
For scalable runtime environments, containerization and traceable deployment processes.
04
Integration & Connectivity
Connect systems and machines.
From enterprise interfaces to industrial communication — with clear, traceable data flows.
05
Data & Databases
Make data reliably usable.
For operational data storage, integration scenarios, analytics and data-intensive applications.
06
Engineering & Tooling
Collaborate and deliver.
Tools for source code, planning, development and continuous delivery — complemented by targeted AI assistance.
AI-assisted Engineering
Context: Technology follows the task. We choose building blocks based on architecture, integration, operations, security and long-term maintainability — not on the length of a tool list.
Development tools
Tools change.
Engineering principles remain.
AI assistance such as GitHub Copilot or JetBrains AI Assistant can support development, reviews, tests and documentation. Architecture decisions, quality assessment and approvals remain with the development team.
Explore our AI approachHow we choose
The right technology
comes from the context.
A good solution is not determined by the longest tool list, but by how the task, existing landscape and operations work together.
Consider the existing landscape.
Established systems and existing knowledge are part of the architecture decision — not something that must automatically be replaced.
Think integration through.
Interfaces, data flows, permissions and operational boundaries are considered early so that solutions work within the overall system.
Ensure maintainability.
Technology must fit not only today. Clarity, evolvability and reliable operation are part of the decision.
Which technology fits
your task?
We start with requirements and the existing landscape — not with a predefined tool list.