Our Mission
We build the truth your training has been missing.
YouCount started in an engineering lab, not a marketing deck. Our founders spent decades building biomedical systems, sensors, and machine-vision instrumentation — the kind of precision hardware usually reserved for research institutions. BodyCheck brings that rigor home.
Color-chart strips and guesswork were never good enough for the people who push their bodies hardest. So we engineered a controlled-light reading platform that turns urine biomarkers into accurate, repeatable data in two minutes — so you can train on truth, not guesswork.
2017
Founded in British Columbia
Machine vision
Proprietary reading platform
CLSI
Tested to standards
12
Biomarkers, one strip
Meet the Founders
Engineers first. Builders for the long run.
A small Canadian team with deep roots in biomedical engineering, machine vision, and research-grade hardware — building the testing platform we wanted for ourselves.
Associate Professor of Mechanical Engineering at the University of Victoria, former Chair of its Mechanical Engineering department, and former Director of its Biomedical Engineering program. Two decades engineering biomedical systems, sensors, and machine-vision instrumentation. Founder of the Victoria Hand Project.
An engineer and MBA who has led a publicly listed company as CEO & President for over 16 years. Her career spans investment banking, corporate finance, and M&A — the capital-markets and operating discipline that turns BodyCheck's research-grade science into a brand and product built around the people who actually use it.
Built on world-class science
Engineered for you. Tested with leading research institutions.
BodyCheck's biomarker science is developed and validated in collaboration with leading research and space-health organizations — the same rigor that holds up far beyond the gym.
Canadian Space Agency
National Science Foundation
NRC Canada
St. Paul's Hospital
University of British Columbia
Stop guessing. Start knowing.
We built BodyCheck so you never have to train on assumptions again. Reserve yours and put research-grade precision in your corner.