Fiet offers a personalized AI health management platform that utilizes advanced sensor technology and data analytics to assess individual exercise patterns, dietary habits, and lifestyle factors. This solution addresses issues related to musculoskeletal disorders, pain, and lifestyle imbalances by providing tailored exercise programs and comprehensive health reports.
Funding
Funding not disclosed
Founders
Product
Problem
Many individuals lack access to personalized exercise programs that address musculoskeletal disorders, pain, and lifestyle imbalances stemming from poor habits. Traditional fitness solutions often fail to provide tailored guidance based on individual assessment of exercise patterns, dietary habits, and other lifestyle factors.
Solution
FIET offers an AI-powered health management platform that delivers personalized exercise programs and comprehensive health reports. The system uses sensor technology and data analytics to assess individual exercise patterns, dietary habits, and lifestyle factors. By analyzing data related to musculoskeletal health, pain points, and lifestyle imbalances, FIET creates tailored exercise programs. The platform combines AI sensors, a database of 6 million data points, and 22 years of expertise from Juvis Diet to provide a customer management solution.
Target Audience
The primary target audience includes individuals seeking personalized exercise programs to address musculoskeletal disorders, pain, and lifestyle imbalances, as well as wellness centers and health professionals looking to offer AI-driven fitness solutions to their clients.
Features
- AI-powered motion analysis to assess user's workout performance.
- Wearable AI sensor device (Loopcore) to measure and evaluate exercise movements and capabilities in real-time.
- Electrical muscle stimulation (EMS) technology embedded in clothing (Loopwear) to enhance workout effectiveness.
- Personalized workout programs tailored to individual needs and fitness levels.
- Lifestyle management features analyzing diet, hydration, sleep, activity, and mental well-being.
- Comprehensive health reports providing insights into musculoskeletal health, pain management, and lifestyle improvements.
- Integration of big data, biorhythm analysis (based on 2017 Nobel Prize-winning research), and individual characteristics for personalized health recommendations.