Haut.AI unveils Body Analysis to tackle summer skin anxiety

Haut.AI has launched an AI-powered tool that analyzes the whole body’s skin and suggests personalized body care products accordingly, expanding traditional skin analysis tech beyond the face. The launch coincides with new research that found many women feel anxious about their body skin in the summertime. 

According to a survey the beauty tech company conducted with women in the US, 80% of respondents experience heightened pressure to have “flawless” or “healthy-looking” skin when warmer weather calls for more exposed skin.

“Forty-three percent of women didn’t just report feeling insecure about their body skin, they reported changing actual plans. Skipped the beach trip. Chose to cover up on a hot day. That is the kind of signal that sits closer to behavior than attitude, and it tells us that body skin anxiety has moved from internal to external, from feeling to action,” Anastasia Georgievskaya, CEO and co-founder at Haut.AI, tells Personal Care Insights.

She explains that, while the body care category has matured, particularly amid the recent wave of “skinification,” guidance hasn’t kept up. 

“When we looked specifically at summer body care routines, 34% of respondents said they don’t know what products to use for their concerns. That’s a significant share of women confused at the exact moment their skin is most visible.”

Georgievskaya argues that, when people are motivated but still feel “lost,” the gap fills with anxiety. “That is not a consumer problem. It is a guidance gap that the industry has had the tools to close for some time, and has not prioritized.”

Haut.AI says that its Body Analysis platform helps target this skin anxiety by giving consumers recommendations for personalized products, and thereby helps fill a “guidance gap” in the body care space.

Survey data reveals rising body skin anxiety among women during the summer time.Overdue innovation

The platform works by analyzing photos of a person’s skin through a single, unified model. It can analyze the face, neck, torso, arms, hands, legs, and feet all at once, and does not need separate tools to do so. 

According to Georgievskaya, the Body Analysis platform is a natural next step from facial analysis tools.

“We’ve spent years building the AI infrastructure for facial skin. First, standardized image analysis. Second, clinical-grade biomarker extraction. Third, validated recommendations connected to real business outcomes: higher conversion, higher average order value, and consumers who stay more engaged. For body skin, none of that infrastructure existed.”

She explains that the survey made it clear the barrier to AI body care incorporation is not consumer appetite, but the lack of its existence.

“Sixty-two percent are open to or already using AI for skin care guidance. Seventy-four percent think it could make their routines easier or more effective. That is not a niche audience waiting to be convinced,” Georgievskaya says.

Objective analysis

Georgievskaya maintains that bias in skin analysis has real consequences. She says that a model that performs well on lighter skin tones and fails on darker ones produces results you cannot trust for a significant portion of users. 

She explains that Body Analysis was trained on over 100,000 skin images across multiple body parts, collected in diverse real-world conditions, and validated across all six Fitzpatrick skin types and genders. 

“What that gives brands is something they never had before: objective, individual-level data on what their customer’s body skin actually looks like, and the ability to connect that to a precise product recommendation. Not ‘moisturizer for dry skin’ — a specific answer for a specific person.”

The Body Analysis platform can assess multiple body areas through a unified model to support personalized product recommendations.Data to drive development

Personal care brands can use the insights from Body Analysis to improve their products and consumer experiences.

“Right now, most brands know almost nothing about their customers’ actual skin. They have purchase data, demographic data, and maybe survey responses. What they don’t have is first-party skin data: individual-level insight into what concern a specific person is actually dealing with. Photo-based analysis changes that. It turns anonymous shoppers into people with knowable, addressable skin needs,” says Georgievskaya.

She also highlights a more immediate impact on consumers’ routine adherence. According to the company’s research, 36% of women said body care routines with too many steps are unsustainable, and 45% say cost prevents routine consistency.

“When someone knows exactly which two products address their specific concerns, they need fewer of them. A precise recommendation is a shorter routine.”

Georgievskaya adds that a body skin analysis tool can also benefit product development.

“When you know that a significant portion of your customers are dealing with hyperpigmentation that current product formats are not adequately addressing, that is a signal that changes what you develop next,” she says. 

Georgievskaya tells us that R&D teams have always lacked structured feedback from real skin conditions consumers are trying to address. She says that body skin data at scale is that feedback, and having access to that kind of data signals a categorical shift.

“Brands that start treating body skin data with the rigor the category deserves will see it in how consumers engage with them. Not because the technology is new, but because the question it answers is one the category has never been able to answer at the individual level before: what does this person’s skin actually need?”

The AI-powered Body Analysis platform targets a guidance gap in body care.Replacing anxiety with knowledge

Georgievskaya believes that AI-powered skin analysis can help reduce body skin anxiety, but warns that the wrong kind of AI intervention could make it worse.

“A lot of skin anxiety is, at its core, uncertainty. People don’t know whether what they’re seeing on their skin is normal, what’s driving it, or what to do about it. And when you don’t understand something, especially something as visible and personal as your skin, the imagination tends to fill the space with something worse than the reality,” she says.

She argues that an accurate, personalized skin assessment replaces that uncertainty with information. 

“Not ‘your skin is great, don’t worry,’ because that’s empty reassurance and it doesn’t last. But ‘here is what your skin is actually doing, here is the specific concern we’re seeing, here is what will address it.’”

She says that the shift from “vague anxiety” to a specific, addressable picture of what is actually happening is what changes behavior.

“What AI should not do is show people an idealized or filtered version of their skin and tell them that’s the goal. That replaces one kind of pressure with another... When people find a product genuinely matched to their actual concern the first time, the anxiety around cost, wasted effort, and failed routines starts to dissolve,” she concludes.