We help teams evaluate more design options with quantitative evidence before committing to a single path.

This includes translating clinical requirements into measurable metrics, comparing design concepts, identifying performance drivers, and supporting decisions that carry forward into manufacturing and verification.

The same approach is often applied to legacy designs already in production, where performance limits or variation sources must be understood before improvements are made.

Rather than duplicating advanced platforms into verification or production, we use platform-enabled testing to isolate sources of variation and deliver simplified, fit-for-purpose test methods.

Our work supports faster attainment of usable Gauge R&R and clearer separation of product, process, and measurement variation—both for development milestones and production decision-making.

We support process development using real performance data to assess variation potential, support DFM, and project capability using small, high-quality data sets.

This applies equally to new processes and existing production lines where yield, stability, or variability are not fully understood.

LSM supports installation, enhancement, and remediation of quality systems aligned with global regulatory expectations.

Our focus is practical alignment—ensuring engineering decisions, test data, and quality requirements fit together coherently.