For Wild.AI users, female is the default gender

Hélène Guillaume launched Wild.AI in 2017 to track the various life stages and fitness levels women experience. The company applies the science of female physiology to active women to help them train, recover and supplement based on their cycle.

The Wild.AI founder and CEO said that while we know women are not men, it’s not as obvious as one might think. Between contraceptive use, miscarriages, pregnancy, IVF, egg-freezing, menopause and more, women go through a lot. 

“For 40 years, we have also have a menstrual cycle. So during the menstrual cycle, which is the first day of the menstrual cycle, is the period, leading up to ovulation and then to the luteal phase where we might have PMS symptoms. This is literally every single day for 40 years of our life from the first menstruation around 8 to 12 years old to around 50 years old. And so understanding the needs of the female body during these menstrual cycles—we have around 500 menstrual cycles in our life—is really important because it really dictates the needs of the female body and the potential. And if we don't understand that, we really don't take advantage of it,” she said.

Guillaume is hoping to flip the script for women, especially those who are athletes, by making female the default gender. 

“Having grown up being a woman in sports, it wasn't great. It was pretty grim. You know, we’re [often told we are] always less fast, less strong, less interesting than men, less money. And it just seemed not great. Whereas I was never told growing up that I have this insanely powerful body that for 40 years, every single month can create a human from scratch.”

Looking ahead, Guillaume is looking forward to using AI to personalize health and nutrition for women at every age and every stage.  

“I think the opportunity is in 5 to 10 years is that we're gonna see there's no good reason that we can understand a woman who is 52 years old in menopause with increased cardiovascular risk…and today she's treated like a man. Because we do have the capacity in terms of data analysis…So yeah, these are big trends that I think we can really tap into,” Guillaume said.