ATHLETEIQ, INC.
AI-DRIVEN WEARABLE DEVICE THAT HELPS ATHLETES PREVENT INJURIES
STARTUP CO-FOUNDER

Objective
To revolutionize athletic performance and injury prevention through AthleteIQ's cutting-edge AI-powered wearable patch, providing athletes with real-time muscle strain and recovery data through advanced electromyography technology, enabling smarter training decisions and reducing injury risk.
Our Story
AthleteIQ emerged from our personal experience as ex-athletes, I got a career ending injury making me unable to participate in the Olympics, therefore we made it our mission to help athletes never get injured again.
Our USP
- Direct Muscle Intelligence - Our reusable patch measures electric impulses directly from muscles using electromyography, providing hyper-accurate data unlike heart rate-based wearables.
- AI-Powered Coaching - Receive personalized guidance on optimal training load, workout duration, and recovery timing based on your unique muscle profile.
- Injury Prevention - Get real-time alerts when you're at high risk of injury, allowing you to adjust your training before damage occurs.
- Superior Microtechnology Adhesive - Our revolutionary mechanical adhesive remains secure during intense workouts, sticks to sweaty skin, and can be reused thousands of times

Our Creative Process
- Breakthrough Technology Development - We developed a patent-pending device that directly measures electrical muscle activity through advanced surface electromyography.
- Materials Innovation - Our team created a unique microtechnology adhesive that solves the persistent challenge of sensor attachment during dynamic movement.
- AI Algorithm Creation - We developed a proprietary machine learning algorithms that transform complex muscle data into actionable insights and personalized recommendations.
- User Experience Design - We crafted an intuitive interface that delivers complex information in an easily understandable format, empowering athletes to make informed decisions.
- Testing - We are currently going through testing with athletes to validate our technology and collect data to improve the algorithm.