Software for measurement and testing technology

A software project is worthwhile when outdated measurement software creates bottlenecks, measurement data is trapped in isolated systems, new test bench configurations take too long, or quality requirements can no longer be met with existing tools. Typical KPIs include reduced test times, less scrap, faster approval processes, lower training requirements, and less manual documentation.

The biggest risks are unclear requirements, a lack of involvement from measurement technicians and plant operators, underestimating integration efforts for heterogeneous test benches, and taking too large a step with legacy migrations. We reduce these risks through early user involvement (Dual Track Agile), clear interface definitions, step-by-step migration instead of a "big bang" approach, and incremental releases – this way, you get feedback early instead of unpleasant surprises at the end.

Yes. We have experience integrating a wide variety of sensors, controllers, and measuring devices – via OPC UA, fieldbus connections, or proprietary interfaces. Real-time data is processed efficiently and transferred to MES, CAQ, or ERP systems. Existing infrastructure is not replaced wholesale, but rather integrated meaningfully into a cohesive software platform.

Yes. Whether it is purchased standard software or legacy in-house developments in C++, VB6, or MFC – we plan migration and refactoring in a way that does not jeopardize ongoing operations.

We take industry-standard norms such as ISO 9001, IATF 16949, and GxP requirements into account, as well as current cybersecurity regulations (CRA, NIS2). Audit trails, data integrity, audit-proof documentation, and verifiable measurement algorithms via automated tests are integrated into the architecture from the very beginning.

Typical points of contact include product/development, application engineering, or service, IT, and, if necessary, maintenance or quality assurance. The decisive factor is not so much team size as it is clear responsibilities and decision-making paths. Technical knowledge of testing and measurement techniques is just as important as expertise in integration and operations. Regular communication between stakeholders contributes significantly to success.

Test benches change: new sensors, different actuators, and modified measurement sequences. With a modular architecture and dynamically loadable plug-ins, enhancements can be integrated without having to recompile the entire software. This shortens time-to-market for new test bench variants and keeps you technologically flexible.

Small and clearly defined: a manageable use case with recognizable value – e.g., specific measurement procedures, a pilot customer, or a clear service use case. The goal is to gain rapid, well-founded insights and experience with technology, organization, and interfaces. Starting this way lowers risks and makes the actual value easier to evaluate. Afterward, the software can be expanded in a targeted manner – adding further processes, machines, regions, data sources, or functions.

The duration depends heavily on the scope, the existing system landscape, and the integration effort – ranging from a few months for focused enhancements to longer timelines for comprehensive platforms or numerous interfaces. Pilot projects provide reliable results early on and help to realistically assess effort and roadmaps.