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SkinGPT, co-launched by Anastasia Georgievskaya of Haut.AI, utilizes generative AI to simulate the long-term effects of skincare products. This innovative platform creates photorealistic renderings based on clinical data, allowing brands to visualize how their products will impact skin over time. By considering factors like aging and environmental exposure, SkinGPT offers a scientific approach to skincare marketing.
The technology serves as a B2B tool, enabling brands to enhance their R&D processes and consumer engagement. With a database of around 3 million images, SkinGPT aims to provide accurate simulations across diverse skin tones and types, addressing a significant gap in the beauty industry. The platform not only helps brands showcase product efficacy but also promotes informed consumer choices, potentially reducing waste in the beauty sector.
• SkinGPT simulates skincare results using generative AI and clinical data.
• The platform aims to improve consumer understanding of skincare efficacy.
Generative AI refers to algorithms that can create new content, such as images or text, based on input data.
Photorealistic rendering involves creating images that are indistinguishable from real photographs, enhancing product visualization.
AI specializes in generative AI applications for the beauty industry, focusing on skincare simulations.
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