OneSync
Beyond vital signs. Into the mind.
The Challenge
A pilot sleeps seven hours, clears a medical check, and still makes a bad call — three days of accumulated stress have worn him down. In high-pressure jobs like aviation, defense, sports, and emergency medicine, people make serious decisions constantly, but there's no practical way to tell if they're cognitively ready. What exists today is guesswork: self-reporting, gut feelings, or a fitness tracker showing heart rate at 72 and a good sleep score. None of that tells you whether someone can think clearly under pressure right now.
The Approach
We built OneBand — a wristband that reads multiple body signals (heart rhythm, skin response, motion, muscle tension) and cross-checks them to produce a cognitive readiness index. The system stays quiet when it's not confident — in environments where a bad call has real consequences, showing nothing is better than a false green light. Built for institutions from day one: training academies, defense units, elite sports teams. Dashboards designed around how teams actually operate, not just how individuals track personal fitness.
The hardest engineering decision was building a system that stays silent when it isn't confident — because in environments where a bad call has real consequences, showing nothing is better than a false green light.
The Solution
OneSync is a cognitive performance platform. OneBand captures biosignals 24/7 and an AI interpretation layer translates raw data into readiness scores, recovery trends, and actionable guidance. Think of it as a fuel gauge for the brain — not a diagnosis, not a mood ring, just a reliable indicator that a coach, training officer, or team lead can glance at and act on. The system builds a personal digital twin that learns individual baselines and adapts over time.
Impact & Results
Active development with hardware prototyping underway. Early concept testing with athletes. Team of 4 (CEO, CTO, COO, CPO) with backgrounds spanning biosensing, AI systems, manufacturing, and product hardware. Pursuing HIPAA and FDA compliance pathways.
Reflection
Consumer wearables track fitness. Medical systems work in labs. Nothing practical sits in the middle. That's the gap — and closing it requires building trust before building features. The hardest part isn't the AI. It's earning confidence from institutions that can't afford false signals.