In this episode, Helene Guillaume, founder of Wild.ai, explores the dynamic landscape of wearables in the context of women's health. She highlights the rising popularity of wearables among women and discusses the challenges and opportunities in the competitive market. Helene shares insights into the unique aspects of female physiology and the role of wearables in empowering women to understand their bodies and enhance athletic performance. The conversation extends to the future of wearables, emphasizing the potential for precision and preventative medicine, with a focus on AI leveraging vast datasets. Helene also provides a glimpse into Wild.ai's upcoming API integration and its pivotal role in collaborating with wearable companies.
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[00:01:45] with confidence and swagger. me to finally get you on the show and discuss all the great work you've done so far with wild.ai and your input on where you think female and women's health is going in the future. So you're very well positioned to have that conversation and I'm excited to get into it. So let's just do it. I mean, if you can maybe just give us a little bit of your background and how you got to
[00:03:03] be the founder of wild.ai and all the experiences you've had because you've done some pretty And there's a lot of mucking, you know, it's like you're Roman sport, it's like so cute. But yeah, so it was a pretty grim perspective. And also, one of the things that was quite striking to me is that there was this world where there was massive ceiling for women in sports because they would love it, but
[00:04:22] then there's no money and there's like this closed vicious loop that no one really goes How can we understand the female zergy? And how can we understand what the female body needs and when? And can we turn that scientific knowledge into something that is actionable for women? So that is the inception of the company. Yeah, yeah, very interesting. And it's, you know, having Dr. Stacy Sims on the show and numerous conversations with
[00:05:40] her, she's very bright.
[00:05:43] You know, that problem just seems to be, as I learn more about it, it's simpler, it doesn't have a whole lot of fluctuations. And we just apply the same learnings to women. And like this descendants pick, hint and trick it. It's like if we just understand protocols in terms of nutrition, training, recovery, that function for men, we just do the same for women basically. And the issue is that we started to consider that women are interesting. And also when we do look at women, still today, we generally look at women that have a very normalized profile. So it's typically would be 30 whites women in the US
[00:08:20] with the same economical backgrounds, probably healthy.
[00:08:23] And so it really doesn't have a lot of beliefs that we had to protect women and we had to protect particularly fetuses. So any women who would be in age of being able to reproduce, we say like, we really don't want to be able to be in a situation where we're
[00:09:40] liable because we tested something and it was a fetus. So let's scrub it. And this is why still today, and I think one of the big evolutions, and that would be amazing, and that's something I really want to see and like to work towards is to have the governments make it compulsory to have women in the testing panels.
[00:11:00] Okay.
[00:11:01] Good history, Sled.
[00:11:02] So let me fast forward a little bit. But also the needs of our bodies. For instance, when we ovulate, we need more carbs and more fats. And so looking at that versus what we follow traditionally as women in sports, it was completely different. So I thought, okay, is there a way actually to have a guideline for women that is actually not the basic guideline that is actually only made for men?
[00:12:23] And for instance, if you are a man and a woman starting to go to the gym at the same time,
[00:13:25] works is we take data from variables and manual input, we aggregate these two together, it gives us a female readiness score.
[00:13:27] And based on the score, we provide recommendations on how to eat, how to exercise, and how to
[00:13:32] recover today with your physiology and with your data.
[00:13:37] And if you were, and you started this app, was it six years ago?
[00:13:40] Is that right?
[00:13:41] Yeah.
[00:13:42] The app is three years old, but the research was before.
[00:13:45] Yeah.
[00:13:46] Got it.
[00:13:47] Got it. If I'm not a woman, but if I was and I wanted to use the app, what's the whole experience like from initiation through months and months of use? How does the experience go? Yes. First of all, you would download the app. You would onboard yourself. Either you have a menstrual cycle or you use a birth control.
[00:15:01] We cover 149 birth controls.
[00:15:03] They're all different. where we then generate a readiness score, which is a number between one and a hundred. And based on this aggregation of the data and readiness score, you then have actual practical recommendations that are adapted to the women on a daily basis on exercise. So for instance, I'm modulating, heat-tightened steel workouts right now, nutrition, increased
[00:16:20] fats and carbs, and then recovery.
[00:16:24] And that is basically what 12 and then day 17 and it seemed random, it actually was probably when she was ovulating. And so she can now pinpoint that she has ovulation pain and she can understand better her body. She can really start reading her body better, which is extremely powerful because when you
[00:17:41] have to pee, you feel it and you know it, you understand it.
[00:17:43] But as women, you can actually start understanding when you ovulate, when you're going to start fat? Does it help with different specific goals? So we specifically do not cover weight loss. A very important reason is, first of all, there are many apps doing it, but also we believe that's part of our mission. We are a tech company, but we have a very strong mission linked to it, which is we really want to change entirely these training plans for you and they adapt to the women. So it's quite unique that the coach would create the sessions and then the algorithm would choose the right one for the right day, depending on what she is in her cycle. And so adapt to that. But in terms of who we serve, we year for women's health. I mean, as far as like advancements, more awareness, more conversations, at least for my purview, like what I've seen. I mean, and you know, I've talked to the people at Aura, I talked to the people at WOOP, Kristin Holmes was on this podcast as well,
[00:21:41] and talks about women's health and performance.
[00:21:44] Seems like it was a really good. And I think as much as for men's sports, we hit the ceiling.
[00:23:03] It's actually really, really, really hard to gain performance for men because it's so she hasn't had it for four months. And these things are not edge cases for women. They're actually very common. Or I'm an ammametriotic woman, the algorithm calculates that, which says that every 27 days I should have a period, I've missed a period because I'm stressed, or I've taken contraceptive, or whatever the reason, and it cannot compute that a woman
[00:24:21] might miss a period. So all these things are easier, and cheaper to work with bosses in API integration and women create it. Yeah. Yeah, that's awesome. And I've just seen it both through the industry conversations that I have, and just anecdotally, personally. A lot of the women I know now have wearables.
[00:25:40] They're really into the ask me questions.
[00:25:42] Not like I know anything, but I guess they think I know stuff.
[00:25:44] And so it's been really interesting. So that's why for us, having a wearable that tracks data is particularly interesting because it changes all the time.
[00:27:00] If you have an aura and your sleep never changes, you go to bed and you sleep perfectly after a few So my speed, my heart rate, whatever I'm training on, my laps or whatever I'm training on. And so I think the combination of both is really good. And we have actually a partnership with Aura and with Garmin because this is really the two wearables we really push and we love Amazfit as well. I think it's a very nicely accessible wearable,
[00:28:21] which is a very good one.
[00:28:24] So yeah, combination as you have as well.
[00:29:30] myself. Garmin is great for training and any outdoor activities with their GPS is really solid, great battery life. They all have their strengths and weaknesses. Do you see anybody
[00:29:34] in the next five years really pulling ahead and doing it all really well?
[00:29:39] Doing it all is interesting. I think it's very a few segments where the armo presence, definitely people who are doing more weightlifting, etc. I won't use a ring, they would use a strap or like the whoop. But now, so it's weird, it's definitely a race.
[00:32:03] But it's the same price, but it has less battery than the Phoenix. And so when I'm doing very long sports, if I'm going for more than seven hours run, it
[00:32:10] just runs out of battery.
[00:32:12] And so then I would like, I'm not doing ultra mermaids anymore, but if I was, I would probably
[00:32:18] buy a Coros.
[00:32:19] So yeah.
[00:32:20] Yeah.
[00:32:21] It's been really interesting.
[00:32:22] I've been watching the wearable market for so long because I love it.
[00:32:28] You know, it's just to when I look at it. But I mean, are you seeing the same thing? Are you starting to see people turn their, change their minds a little bit when it comes to wearables and technology and the applications of? Yeah. So, you know, like the sentence where you can't measure, you can't improve, it's so true. Yeah.
[00:33:40] And you can really see people, like, I mean, the conversations at dinner is like, oh, I
[00:33:43] drink less alcohol because my oral level is actually a lot of people around you trust. And I think that's where what we're saying is that people, and that is at the top level, but what is really interesting, and I think where obviously like there's the most space
[00:35:01] is that at the bottom, like people who are less doing sports and just in losing interest
[00:35:06] in their health, also are getting to do a wearable space. I do my own research on Google or within the app where I have information saying like, you might have this or that. And then I go to the doctor, so the patient will see you with assumptions and that we just want because we still have this hurdle that we can self-medicate ourselves and get... And the doctors hate it, but the reality is we are really concerned about our
[00:36:21] own personal health. So we are really good people to be world of prevention. And when we talk about precision medicine, we also talk about preventative medicine, which is like, if we have no idea what might happen, it's actually super expensive to do anything prevention. Whereas when we have a lot of data, when we have a lot of individuals who have a lot loops that work together, it's going to be extremely powerful. And the place of AI in that is just using huge amount of data sets, being able to create profiles out of it, and then being able to say, okay, you know what, for this pool of population, number A, this is the battery of tests they should be doing.
[00:39:04] This is the recommendations they should be following.
[00:39:06] Are they doing it?
[00:39:07] Yes or no? results can change the way we approach medicine and sports and health. Yeah. I love it. It is funny. I mean, I just listen to you talk and reflect on my own, you know, I never think that anything that ill my dad or my mom will ever be a problem for me. Right. But, you know, as I get into, you know, my mid to late forties here, I'm
[00:40:22] like, I know I'm starting to see like my blood tests, you know, maybe I need
[00:40:25] to be a little bit more diligent.
[00:40:27] Maybe I'm not going to live forever.
[00:40:28] That's kind of a scary thought.
[00:41:21] API to all the wearables. And then from wearables, we go to sports app and then to health apps.
[00:41:25] So we are the backbone of female tech and female health.
[00:41:29] And we can create it because we are the only company that takes wearable data,
[00:41:33] overlays it with female data sets, and gives you an understanding of the female
[00:41:36] data sets, which is really powerful.
[00:41:38] So for us, next year, we speak in 25, we will be hopefully in a position where we
[00:41:45] have multiple massive clients who are using our API and who are able then for these researchers who spend their lives dedicated to advanced research. And now there's more and more, which is amazing. Stanford has an entire subsection called Faster, which is specifically on female research are just generally interested in the field, how can we help you? What do you need right now? What would you like to hear from people about? Yeah. Teams, so pro teams or colleg it. I'm, I'm glad, uh, I got this opportunity to finally, you know, catch up with you and do the interviews, like I said, it's been on my radar for, for quite some time. So really enjoyed it. Uh, ladies and gentlemen, Aylin. Thanks, Eric. Hey, wait, don't leave yet. This is your host, Eric Malzone. And I hope you enjoyed this episode of Future of Feminist.
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