AI Transformation
We support organizations in assessing, planning, and implementing AI capabilities in a structured and responsible manner. Our work begins with a systematic evaluation of strategic objectives, available data, and technological maturity. Based on this assessment, we identify feasible AI use cases, define measurable expectations, and select suitable models and architectures. We accompany the implementation with a focus on operational robustness, regulatory compliance, and long-term maintainability. The outcome is an AI capability that is methodically grounded, practically applicable, and aligned with organizational priorities. For proof of our expertise in this area, have a look at our articles on these and other topics.
Software Engineering, Programming & Scripting
We provide hands-on support for the development of software systems that must remain reliable over long operational lifetimes. Our work includes the implementation of core components, refactoring of existing architectures, and targeted performance optimization. We are experienced in C++ across all standards, Python, and common scripting languages, and we apply systematic engineering practices such as modular design, automated testing, and verifiable interfaces. The result is software that is maintainable, predictable in behavior, and aligned with operational constraints.
DevOps & Tooling
We design development and delivery pipelines that ensure reproducibility, traceability, and efficient collaboration across teams. Our work includes CI/CD design, version control strategies, build automation, containerization, IaC principles, and quality-gate integration. We align tooling choices with the organization’s processes and regulatory context, ensuring that engineering workflows remain transparent and sustainable. The outcome is an infrastructure that reduces operational friction and supports consistent, high-quality releases.
Platform Design, Embedded & Systems Engineering
We support the conceptual and technical design of digital platforms that enable modularity, scalability, and efficient product development. Our work includes defining domain boundaries, architectural principles, and governance structures. We ensure that platform components are reusable, maintainable, and aligned with organizational goals. The outcome is a technical foundation that reduces complexity, accelerates development, and supports long-term evolution.
Cloud. HPC & Infrastructure
We support the design and operation of compute-intensive environments, including cloud platforms and high-performance computing systems. Our work includes workload analysis, resource orchestration, performance measurement, and architecture decisions for distributed systems. We ensure that infrastructure choices remain cost-aware, robust, and matched to the system’s operational profile. The result is an environment capable of supporting demanding computations reliably and at scale.
Open- and InnerSource
We support the introduction of Open- and InnerSource practices to improve collaboration, code quality, and knowledge distribution. This includes defining contribution models, establishing governance mechanisms, and integrating community-driven workflows into existing development structures. The result is a development ecosystem that is transparent, reusable, and capable of scaling across teams.
Software Engineering
We provide engineering expertise that supports the design, implementation, and evolution of software systems. Our focus lies on maintainability, performance, and long-term sustainability. We apply established engineering principles and ensure that solutions remain transparent, testable, and adaptable. This enables teams to deliver reliable software that aligns with both technical and business priorities. We are experienced in architecture design and software development in distributed environments, using C++ (all standards) and Python, as well as scripting languages.
Data Science
We develop data-driven solutions based on structured analysis, statistical modeling, and machine learning. Our work includes exploratory analysis, feature engineering, model selection, and operational integration. We emphasize reproducibility, transparency, and alignment with business requirements. The result is a data capability that delivers traceable insights and supports informed decision-making.
Predictive Maintenance
We design predictive maintenance solutions that identify emerging anomalies and forecast potential failures. Using sensor data, domain knowledge, and machine-learning methods, we construct models that integrate into existing operational processes. We ensure that the technical approach is robust, interpretable, and aligned with measurable efficiency improvements. This enables organizations to reduce downtime and extend asset lifecycles.
Medical Devices Software
We support the development of medical software that meets regulatory, clinical, and technical requirements. Our work includes process design, documentation, and compliance with relevant standards such as IEC 62304. We combine software engineering expertise with an understanding of clinical workflows to ensure that solutions are safe, effective, and traceable. The result is a reliable basis for medical products in regulated environments.
Data Privacy and Data Security
We support the design and implementation of privacy- and security-compliant systems. This includes risk assessments, governance models, and the application of secure-by-design principles. We ensure that sensitive data is protected without hindering operational effectiveness. The outcome is a security posture that is methodically grounded and aligned with legal and organizational requirements.