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A simple question changed everything: what if balance were measured like blood pressure? We sit down with founder Vincent Vu—who went from a refugee camp to launching minimalist shoes to building a clinical platform—to unpack how AI and movement data can predict fall risk, empower clinicians, and make prevention practical for everyone.
We dig into the origin story: an injury that led to Kennis Barefoot, a science-first approach to foot mechanics, and the customer signals that pointed to balance as the overlooked lever of healthy aging. Vincent explains the pivot to Kennis AI’s movement intelligence stack—BalancePro (computer vision balance assessment on an iPad) and Kennis Step (ankle-worn gait analysis)—and how a hybrid care model bridges clinic and home with actionable scores, exercises, and longitudinal insights. We explore the sobering stats around falls, why detection is too late, and how routine balance screening could shift care upstream and save billions.
The conversation stretches beyond the clinic. Vincent shares lessons from pilots in Vietnam and the U.S., the role of mentors and grants in sharpening protocols, and the discipline of letting science lead engineering. Then we widen the lens: lower-body data for sports performance, smart boots and sensor fusion for military readiness, and the promise of a human digital twin that can simulate training, forecast decline, and personalize interventions across years. Through it all runs a simple truth: mobility is the first mile of longevity, and every step is a data point we can learn from.
If you care about preventive care, healthy aging, sports performance, or the future of AI in healthcare, this story delivers both heart and hard details. Subscribe, share with a friend who trains or cares for an older adult, and leave a review with your take—should balance be the next vital sign?

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