USING AI TO EXPAND YOUR CLIENT BASE
HOW IT WORKS
Coaches build workout routines for athletes on FYTT
Athletes follow the routines and record their results on FYTT
FYTT learns how to train athletes based on individual attributes
TRAIN AT SCALE
AI helps coaches expand their client base without sacrificing quality
Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without being explicitly programmed.
ABOUT THE MEETUP
Technology has changed the fitness industry over the past decade, and continues to disrupt the status quo in many ways.
However, while some fitness providers use technology to achieve greater reach and scale, others have not benefited and continue to use the same business model.
FYTT wants to leverage the power of machine learning to help coaches expand their client base without sacrificing the quality of training. To do this, we need to gather a large amount of workout data that we can use to train the software.
In an effort to gather the initial data, we are offering a free lifetime membership to our alpha users. No strings attached.
The meetup will be centered on explaining the use of machine learning and the alpha user phase. We’ll also have time to answer any questions you might have.
2701 North Thanksgiving Way, Lehi, UT 84043
Saturday, April 20 @ 1PM
With our modern understanding of human physiology, a one-size-fits-all approach just doesn’t cut it. In order to get the best results, you have to study scientific evidence, take into account individual variation, and apply the science of exercise and adaptation within the context of each athlete’s unique situation.
However, this process is tedious and time consuming. It requires hours of analysis and programming, and it limits the number of athletes a coach can effectively train. This is exactly why we built FYTT.
Using data from the most reliable science and coaching sources, we’re building software that generates highly personalized fitness programs. As athletes train and record results on FYTT, the software learns and adapts in order to produce the most optimal routine for each individual athlete.