The startup develops fitness wearables equipped with proprietary biosensors that analyze bio-markers from sweat and skin, utilizing machine-learning algorithms to provide personalized health insights. This technology enables users to maintain their fitness routines effectively from home, addressing the challenge of access to professional training guidance.
Funding
$740K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional methods of assessing cardiovascular fitness, such as lab-based gas exchange measurements or estimations based on heart rate, are often impractical for real-world fitness activities. These methods may require specialized equipment like masks or are not accurate enough to provide personalized insights into an individual's physiological condition during exercise. This makes it difficult for individuals to optimize their training and proactively manage their cardiovascular health.
Solution
Yopitech offers a wearable device that leverages eccrine sweat analysis to provide real-time insights into cardiovascular health and fitness. The device uses proprietary biosensors to measure electrolytes in sweat, providing a comprehensive picture of an individual’s physiological state during exercise. By measuring changes in sweat electrolytes, Yopi provides data on peak Oxygen Consumption (VO2) and electrolyte balance, enabling users to make informed decisions about workout intensity, duration, and recovery. The device delivers real-time feedback on crucial metrics such as VO2 and Respiratory Exchange Ratio (RER), which indicates the body's primary fuel source (carbohydrate, fat, or protein). This allows users to maximize training metabolic efficiency, avoid overexertion, and potentially identify arterial or pulmonary anomalies.
Target Audience
The primary target audience includes fitness enthusiasts, athletes, and individuals seeking to proactively manage their cardiovascular health through personalized insights and data-driven training.
Features
- Real-time monitoring of Oxygen Consumption (VO2) and VO2Max without the need for a mask
- Respiratory Exchange Ratio (RER) measurement to determine the body's primary energy source
- Analysis of energy expenditure from carbohydrates, fats, and proteins
- Calculation of Anaerobic Threshold (AT) to optimize training intensity
- Sweat electrolytes analysis using Ion Selective Electrode (ISE) technology
- Mobile app integration for real-time data visualization and personalized recommendations
- Algorithms to convert sensor data into accurate physiological measures of cardiopulmonary function