We see ourselves as a partner in reliability and quality assurance work for technical products. We support the market success of your products through the holistic methodical safeguarding of time-dependent characteristics such as reliability and service life as well as non-time-dependent quality characteristics. We combine methodological expertise with practical understanding as product developers and users and thus take individual boundary conditions into account when developing tailor-made solutions.
Our capabilities are particularly evident in current specialist areas. These include reducing the number of test subjects in endurance tests, evaluating the reliability of complex, software-intensive mechatronic systems and quantitative reliability analyses at an early stage of development – even when data uncertainties still exist.
The reliability and quality of technical products are decisive competitive factors. They have a significant impact on business success and are key components of customer satisfaction. At the same time, it is becoming increasingly challenging to ensure consistent and competitive reliability. The reasons for this are shorter development cycles, rapidly changing technologies and increasing customer requirements.
We are happy to advise you!
Electronics reliability
Developing electronics reliably: From failure rate analysis to service life assurance.
Reliability Testing
Reliability testing makes reliability measurable – through structured test programs and reliable service life data.
Individual consultation
Methodically sound advice on reliability and quality – tailored to your products, processes and framework conditions.
Reliability is no coincidence
Our Seminars
- Reliability Green Belt
- Reliability Black Belt
- Reliability Master Black Belt
- Electronics reliability
Our methods
Accelerated Life Testing
Demonstrate service life faster – with accelerated tests and reliable forecast models.
Design of Experiments
Test efficiently, understand more – DoE identifies the most impactful influencing factors with minimal testing effort.
Field data analysis
Evaluate field data, understand failure behavior – for reliable forecasts and targeted improvements.

