Provides a cloud-based platform that uses AI-driven analysis of movement data captured by smart wearable apparel to identify and correct movement dysfunctions. This system improves physical therapy outcomes by preventing injuries, optimizing performance, and guiding users through personalized rehabilitation programs.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals recovering from injuries or seeking to improve physical performance often lack access to objective, data-driven insights into their movement patterns. Traditional physical therapy relies heavily on subjective assessments, potentially leading to inefficient rehabilitation and increased risk of re-injury.
Solution
Kinny offers a cloud-based platform that leverages AI to analyze movement data captured through smart wearable apparel, providing users with personalized guidance to correct movement dysfunctions. The system tracks and analyzes movement, using AI to identify areas for improvement and prevent potential injuries. By syncing data from smart wearables to a user-friendly app, Kinny facilitates a more effective and data-driven rehabilitation journey, optimizing physical performance and improving physical therapy outcomes.
Target Audience
Kinny is designed for individuals undergoing physical therapy, athletes seeking performance optimization, and healthcare professionals looking for objective movement analysis tools.
Features
- Smart wearable apparel that captures comprehensive human movement data.
- Cloud-based platform for data storage, analysis, and personalized feedback.
- AI-driven analysis of movement patterns to identify and correct dysfunctions.
- Mobile app that guides users through personalized rehabilitation programs.
- Objective tracking of progress and performance improvements.
- Predictive analytics to prevent injuries based on movement patterns.