google-site-verification: googled3ad79e48fba1031.html Proven Uses AI to Completely Personalize Your Skincare – Raidar Gist
Thursday , October 18 2018
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Proven Uses AI to Completely Personalize Your Skincare

Proven Uses AI to Completely Personalize Your Skincare

Skincare is by no means one-size-fits-all. How could it be? We’re all different in so many ways (geography, genetic makeup, lifestyle choices, etc.), and bio-individuality is just as real in regard to our skin as it is to our bodies. One product or ingredient could never work for everyone. That concept was the impetus that led CEO and co-founder of Proven Ming Zhao to decide to change the game. “I was working 14-hour days at a grueling private finance equity job in Hong Kong, a job that was literally sucking the soul straight out of my body, and you could see it on my skin,” Zhao recalls. “Fine lines; premature wrinkles; a dull, lifeless texture; adult-acne breakouts. You name it; I had it. So I did what any sensible person would do: I panicked,” she said. From there, Zhao decided to spend a her time and money purchasing every miracle fix and overnight solution she could find, but nothing worked.

It was then that she decided to check in with an exclusive skin specialist who introduced the idea of customized products, which ultimately changed everything for her. “My eureka moment was understanding that only when personal relevant factors are considered (genetics, lifestyle, location, stress levels) can a product truly work for you,” she says. “I saw this as a way to make the future of skincare a reality. And it can be done in an approachable way.” As it turns out, her co-founder, Amy Zaoshi Yuan, has a similar story. Yuan was a world-record-breaking computational physicist when she was diagnosed with a rare skin condition. That was when she was inspired to build a personal database to help identify which ingredients provided positive results versus negative ones. “Proven is the culmination of both our insights and approaches to hacking beauty,” says Zhao. 

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