Software engineering
We build web, desktop and mobile applications and modernise existing systems.
IT Solutions & Consulting
We build and modernise business applications, support your teams and advise you on software matters. We value good collaboration, maintainable code and modern architectures – for solutions that stand the test of time.
We work with you to define the requirements, build the application and support it in day-to-day operation. AI offers new ways to test prototypes sooner, reduce routine work and improve solutions. We assess whether it is useful for each task. Good software takes domain knowledge and careful engineering. Our developers make the architecture decisions. We review AI-generated code for correctness, readability and maintainability too.
We build web, desktop and mobile applications and modernise existing systems.
Analysis, design and implementation of digital processes, with particular expertise in Siemens Teamcenter.
We support your applications in operation, keep them up to date and adapt them as requirements change.
We understand the requirements behind the software, from production planning and laboratory data processing to HR workflows.
Planning, forecasting, optimisation and supply chain management.
Data models, Rich Client, Active Workspace and process integration.
Reporting, business intelligence, analytics and machine learning.
Laboratory data, device interfaces and scientific business processes.
Production planning, plant utilisation and maintenance planning.
Automated and traceable HR processes and document generation.
We build business applications, integrate existing systems and implement distributed workflows. Our work also covers deployment and operation in the cloud.
.NET · C# · Java · TypeScript
Kafka · RabbitMQ · MQTT · Event Sourcing · Orleans · gRPC
Kubernetes · Helm · Terraform / OpenTofu · Azure
Language models · MCP · tool integration
Complex business applications built with .NET, Java and modern web technologies – from domain modelling through long-term evolution.
Kafka, RabbitMQ, MQTT, event sourcing, asynchronous processing, long-running processes and scalable distributed runtime models.
Kubernetes, containers, infrastructure as code, automated deployments, observability and reliable operation.
We connect language models to existing applications, data and tools, including through MCP. We assess which tasks are suitable for AI and how its results can be checked within each process.
Team

Management · Senior Software Engineer

Management · Senior Software Engineer

Management · Senior Software Engineer

Senior PLM Consultant
Contact
Reach us by email or phone.