EveLab Insights launches 'first-ever scan of its kind on the market' for neck and décolleté



EveLab Insights launches first ever scan of its kind on the market for neck and decollete

EveLab Insights has launched its innovative Neck AI Skin Analysis, an advanced technology specifically targeting the neck and décolleté, areas often overlooked in traditional skin assessments. We spoke to Nick Howard, Director of Global Strategy at EveLab Insights, who shared his insights into how the new feature enhances skin health analysis with a unique focus on aging indicators. 

“Our new Neck AI Skin Analysis leverages advanced deep learning algorithms to scan and analyze the neck and décolleté areas with high precision,” Howard explained. He added that this innovation provides “targeted insights into these often-overlooked areas, such as the level of wrinkles,” offering a more holistic view of skin health for consumers and skin care professionals alike. 

Addressing a growing demand for neck and décolleté analysis 

The inclusion of neck and décolleté analysis was driven by a notable market demand. “This feature has been our most widely requested update, especially among prestige skin care brands,” Howard remarked, highlighting the consumer shift toward a comprehensive skin care approach. 

With many brands expanding their offerings to include neck-focused products, the analysis fills an important gap left by facial scans, which Howard says don’t capture “wrinkles and laxity in these areas” due to the unique structural differences in neck skin. By addressing these areas, EveLab’s new feature aims to provide consumers with tailored recommendations and a complete picture of their skin’s aging process. 

Advanced grading for precision skin analysis 

The Neck AI Skin Analysis employs a sophisticated four-degree system that classifies neck wrinkles across nine specific grades. According to Howard, “This detailed grading system helps beauty professionals recommend targeted treatments for issues like fine lines or deep-set wrinkles.” 



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