Design, predict and monitor product lifetime, with trusted insights into performance, risk, and maintenance.
Unexpected failures lead to costs, risk and reputational damage
How do you ensure your product is reliable, not just during testing, but also in real-world use?
Reliability is about more than avoiding warranty claims. It impacts your reputation, customer confidence and, in some sectors, user safety. Yet lifetime risks are still often underestimated. Many companies rely on limited test data or outdated assumptions when making key design and investment decisions.
The result? Unexpected failures, product recalls and costly downtime. In industries like consumer electronics, medical technology or automotive, such incidents occur daily. And they don’t just hurt your margins, they damage brand trust.
Data-driven decisions for design, maintenance, and risk management
Designing reliable products means balancing performance, cost, and lifetime under uncertain conditions. Reliability engineering provides the statistical foundation to do this well. By working with data, models, and test results from the very beginning, you can:
- Build reliability into the product design from the start
- Predict when failures may occur or critical thresholds are reached
- Quantify risks and estimate service and warranty budgets
- Provide proof of lifetime compliance to customers or regulators
Even a small misjudgement in lifetime prediction can have major safety or financial consequences. That’s why reliable, up-to-date insights are essential for confident technical decisions, investments and operational planning. CQM helps you obtain those insights, and apply them in practice.
Our approach: reliability engineering from first design to field monitoring
CQM supports companies in applying reliability engineering in a structured and practical way. From the earliest concept phase through to real-world operation. We integrate lifetime modelling and reliability testing directly into your development and validation process. This way, reliability becomes part of the design itself, not an afterthought.
Our support includes:
- Lifetime modelling and simulation - Predict product lifetime, compare design alternatives and quantify failure risks.
- Accelerated lifetime testing - Design and analyse smart tests to uncover failure mechanisms and reduce uncertainty.
- Field monitoring - Detect early deviations by linking real-world usage data to expected lifetime models.
- Crash project support - Rapidly assess the impact of unexpected failures to guide decisions on recall, repair or further development.
We combine advanced statistical methods with deep technical domain knowledge. This gives you not just insights, but practical tools to improve design, validation, and risk control.
Reliability as a strategic advantage
A structured approach to reliability engineering leads to:
- Shorter development times, thanks to better-informed design decisions.
- Fewer failures and lower costs, through predictive models and early warning signals.
- Improved service and warranty planning, based on real-world data.
- Stronger market positioning, with products that demonstrably meet lifetime requirements.
In other words: by embedding reliability into design, production and maintenance, you gain confidence that your products will perform as promised – safely, consistently and profitably throughout their entire lifecycle.
Want to build reliability into every stage of development and operation?
Get in touch with Joost to explore how we help leading industrial companies apply reliability engineering in practice.
