CEO and Founder Helene Guillaume explains how it differs from traditional fitness apps.


WildAI is a fitness tracking app made specifically for women

Tech

WildAI is a fitness tracker made specifically for women


WildAI is a fitness tracking app made specifically for women


all the fitness trackers or apps are made for men if my body temperature goes up it thinks I'm sick by default because a man but I might be overrating which is the opposite of sick, pregnant or in permanent. So you have some apps that would provide training recommendations but they're based on training plans that follow middle cycles which are grateful men. But as women we layer on top of that dimension cycle or the physiology, the interpretation of the data sets is entirely different in what we do because we have the capacity of understanding where you are in your life stage as a woman and from the interpretation, the recommendations are different as well. I'm I'm the founder and Ceo of World AI which is basically a performance up for women. So we take data from wearables and daily questions and that enables us to provide daily recommendations to women on how to train recover optimally. So the way well there works is we take data from wearables in addition to that daily questions and these two together gives us a readiness core. Then from there you receive in your app the recommendations that are practical on like how to eat, what exercises to do to recover. He knows where you are in your menstrual cycle because of your questions and then it knows where you are on a daily basis in terms of your daily performance because we have data from your wearable if you have one or your questions, how do you feel how eager you are to train? So the difference between wild Ai and other fitness trackers in the market is all the fitness trackers or apps are made for men. So when we look at patient populations for research in general, we want the least amount of variables that can affect what we're studying. We're well aware that hormone levels can affect performance, recovery and injury. So when people go to design studies, they say, well, men don't have these fluctuations, there are better group to study. So it's easier to study men. And that's why it's almost scary to think that are we harming our female athletes by using the current recommendations? Because it's a totally different ball game. And we're using recommendations based on um an individual is physiologically just very different. My name is Sarah Connie, I do a lot of snow, She running mountain running and trail running. So in the summer it's a lot of mountain running and then a lot of heavy lifting in the gym, you know, just working on improving my skills as a snowshoe runner. I think there's a huge lack of education, you know, in terms of understanding my body as an athlete. That's not something that I was ever taught as a, as a teenager as a young adult didn't really understand how my body as a woman would be impacted by participating in sport by training. Often women would have never heard about working out around the menstrual cycle, but when they do it makes super sense. It is new science that is brought to the population, but at the same time, it's very intuitive so they can see patterns. So at the end of each menstrual cycle or each month you don't have a menstrual cycle, you provide your report and you start seeing correlations between, for instance ovulation, your high eagerness, train your capacity to perform like high intensity, high sex drive. And you see that in the graph and it helps them. So they start really understanding that it's actually not a dark science, like the female body and this black box that is impossible to understand is actually you can really understand just for the time series patterns basically if you have an off day rather than sort of going into this downward spiral of self doubt, like I'm just, maybe I'm I'm losing fitness. I'm not doing so well. I can look at the app and see, oh actually I'm in the alluvial phase and this is why I just don't feel strong today is because I'm in this certain phase of my cycle where you see a dip in strength, but in a week or two, I'm gonna be, you know, feeling strong again, we track everything with our athletes when they're training what they're eating when they're sleeping, how much sleep they're getting. These women are on the elite stage and being recognized and um are high performers using their cycles to plan out their training, you know, when they should be taking it easy when they should be working a little bit harder when it's safer for them to push themselves a little bit more and when it's time to recover should all be based on their cycle. Some hormones that are actually typical with a woman's menstruation are ones that affects Black city. The reason for this is the body is preparing to push a child out of it and were more prone to injury and we have more pain during this time. This could be the moment of their injuries. That could be why they were injured. The reason of it and we're completely ignoring it. So I think the primary benefit the Wild Ai app is in terms of The its ability to track your faces, the faces of your cycle and then give you very targeted specific recommendations for performance. 80% of the medical research is done on may and then you know like vaccines that are coming out and the drugs, everything that is coming out is basically made on May. Then we say, Okay we just extended to women. So we want to make it a couple three from the regulators to include women in research. Um and they will play an important role because today with the computing power and data understanding capabilities that we have, there's no excuse to exclude women from research