Evidence, turned into design.
We don't stop at measuring how a device performs. We apply the same biomechanical evidence to designing and optimizing devices, and the instruments and surgical techniques that deliver them.
Where the device meets the surgeon.
An implant performs only as well as the instruments that place it and the technique that guides them. We design and refine both against cadaveric usability data and biomechanical measurement, validate the result in tissue, and train surgeons on it in our own lab. Evidence, design, validation, and adoption, under one roof.
Designed against the data.
Concept through design iteration, informed by the same four-domain evidence we generate for the field: computational models to explore the design space, synthetic and cadaveric testing to check it, clinical evidence to ground it. Optimizing an existing device runs the same way, measure what it does, model why it does it, and change what actually matters.
A closed loop, not a handoff.
Most design work is separated from the evidence that should inform it. Ours isn't. Each stage feeds the next, and the last feeds back into the first.
From first concept to next generation.
Early-stage companies who need a device, its instruments, and its technique built from evidence rather than assumption. Established manufacturers optimizing a device already on the market, or rebuilding an instrument set and technique around one. Teams who have the clinical insight and need the engineering to realize it.