C-MMGOAI skin analysis, generative skin simulation, dermatology datasets
0-100 chain-logic scale · 15 dimensions · scored on public evidence
Analyze facial skin or face-related characteristics as part of Haut.ai's beauty and skincare AI product suite.
Digital face-analysis product listed by Haut.ai; specific assay details are not provided in the supplied material.
Listed in Haut.ai product navigation in the supplied public record excerpt.
Provide an AI-enabled conversational skincare experience for users or brand customers.
Digital chat product listed by Haut.ai alongside its AI skin-analysis and SkinGPT offerings.
Listed in Haut.ai product navigation in the supplied public record excerpt.
Advance noninvasive fluorescent photography for cosmetic and skincare research, including AI-based image analysis for skin assessment.
Review and development direction for skin autofluorescence photography, special detection systems, and automatic image analysis using artificial intelligence.
2024 review summarized recent work and proposed further AI algorithm development and expanded applications for fluorescent photography.
The publication concluded that fluorescent photography is rapidly evolving and has broad potential applications in cosmetic and skincare research, especially with AI-based analysis.
Enable at-home, noninvasive measurement of biophysical and age-associated skin characteristics using a handheld device and smartphone application.
Handheld IoT device with a moisture sensor and multi-light-source camera, using deep learning to assess facial age, skin evenness, wrinkles, glossiness, skin tone, redness, porphyrin levels, and hydration effects.
2024 publication reported lab and at-home validation against established gold-standard methods.
Skinly accurately measured facial age, skin evenness, and wrinkles; produced data consistent with established devices for glossiness, skin tone, redness, and porphyrin levels; and was used to evaluate moisturizing formulation effects on skin hydration.
Assess and advance fluorescence photography as a noninvasive method for cosmetic and skincare research, including detection of pathological skin states and automated AI-based image analysis.
Review and analysis of skin autofluorescence imaging, fluorophore biology, fluorescence photography recording, and AI-based image-analysis approaches.
2024 review summarized recent work and proposed future directions for AI algorithms and expanded fluorescence-photography applications.
The review concluded that fluorescence photography is rapidly evolving and has broad potential applications in cosmetic and skincare research.
Provide clinical-grade AI skin diagnostics and personalized skincare/product recommendations for beauty brands and digital beauty experiences.
Computer-vision and AI skin analysis platform trained on millions of skin images and skin-health/beauty data points; offered through SaaS and enterprise integrations.
Listed as a Haut.ai product and described as part of Haut.ai's SaaS and enterprise platform for beauty brands.
Platform is described as clinical-grade and trained on millions of skin images/data points, but no quantitative validation metrics are supplied in the provided material.
Provide AI-powered skin diagnostics, skin health and beauty metric assessment, and personalized skincare product recommendations for beauty brands and enterprise integrations.
AI SaaS platform trained on millions of skin images and data points to analyze skin characteristics and support digital beauty experiences, R&D, and product-claim visualization.
Publicly offered as Haut.ai's AI skin analysis and skincare SaaS platform.
Site analysis states the platform is trained on millions of skin images and data points across skin health and beauty metrics.
Generate skin simulations and product-claim visualizations for skincare and beauty-brand applications.
Generative AI skin simulation system used to model or visualize skin appearance and skincare effects.
Named in Haut.ai site analysis and product navigation as an active offering.
Enable noninvasive at-home and laboratory measurement of age-related and biophysical skin characteristics, potentially replacing more expensive or time-consuming diagnostic tools.
Handheld IoT device with a moisture sensor and multi-light-source camera, smartphone application, and deep-learning image analysis; validated against established gold-standard methods.
2024 publication reported laboratory and at-home validation of the Skinly system for multiple skin parameters.
Reported accurate measurement of age-associated parameters including facial age, skin evenness, and wrinkles; produced data consistent with established devices for glossiness, skin tone, redness, and porphyrin levels; also evaluated moisturizing formulations for skin hydration.