Take performance into your own hands

SOLO empowers athletes by allowing them to record and upload videos of their performances. The platform uses advanced computer vision and AI algorithms to analyze the footage, providing precise performance metrics such as speed, agility, form, and endurance. By breaking down each movement, SOLO identifies key areas for improvement, whether it's adjusting posture, enhancing technique, or optimizing speed. The feedback is tailored to the individual’s skill level and is designed to be actionable, helping athletes refine their performance with every training session.

SOLO’s machine learning ‘coaching’ algorithm takes personalized training to the next level. Using gradient descent and polynomial regression analysis, the algorithm digests data from an athlete’s past and current performance metrics to craft highly individualized workout plans. These plans are not generic; they are modeled after the proven training regimens of professional track and field athletes and coaches. The algorithm continuously adapts to the athlete's progress, ensuring that the training is always aligned with their current abilities. This approach guarantees steady progress, minimizes the risk of injury, and helps athletes reach their peak performance efficiently

The progress tracking feature in SOLO is designed to be both comprehensive and user-friendly. Athletes and coaches can easily monitor key metrics over time, such as improvements in speed, strength, endurance, and technical skills. The platform allows users to set specific goals and track their journey towards achieving them. Detailed visualizations and reports make it easy to see where progress is being made and where additional focus might be needed. This continuous feedback loop not only keeps athletes motivated but also helps coaches make data-driven decisions to refine training strategies.

SOLO creates a supportive community where coaches, athletes, recruiters, and fans can connect, share statistics, and showcase progress.