AI Skin Analysis & Skincare AI Platform for Beauty Brands

What is SkinGPT?

SkinGPT is a generative AI-powered skin simulation engine that visualizes how skin may change over time in response to skincare products, ingredients, aging, and environmental factors. It delivers hyper-realistic, science-backed results based on clinical data and individual skin conditions. In addition to enhancing consumer-facing experiences, SkinGPT also supports R&D by generating synthetic skin data. It is available for beauty businesses seeking to offer personalized, evidence-based skincare experiences.

What makes Haut.AI different from competitors?

Haut.AI's advantage lies in how its models are built, trained, and designed specifically for the beauty, cosmetics, and aesthetics industry. Models are trained on a large, proprietary, and diverse dataset spanning a wide range of skin tones, ages, ethnicities, lighting conditions, and real-world image types — all labeled and validated by human experts. The algorithms are rooted in first-principles dermatological science rather than generic visual pattern recognition, with over eight years of applied research. The system supports ultra-high-resolution inputs and outputs with fine-grained analys

How does Haut.AI performance compare to generalist LLMs?

Generalist LLMs and vision-language models are designed for broad tasks. Haut.AI models are built for measurement, simulation, and consistency in skincare and dermatology. Rather than generating descriptive interpretations of images, Haut.AI vision models are trained against clinically calibrated skin and hair scales, producing stable, comparable metrics that can be tracked over time. The models are controllable, supporting simulation of appearance changes for condition progression, what-if analysis, and product effect visualization. By focusing exclusively on beauty, skin, and hair, the model

How does AI ensure accurate skin diagnostics?

Haut.AI ensures reliable skin diagnostics through rigorous training practices, expert oversight, and continuous optimization. Algorithms are trained on over 3 million skin images representing a wide range of skin types, tones, and conditions. Dermatologists and skin experts manually annotate the data, providing clinically validated insights. The AI uses supervised learning and cross-validation, is regularly updated with new data and feedback, and applies ensemble modeling — multiple specialized AI models working together — to deliver comprehensive and robust skin assessments.

How can I integrate Haut.AI into my website or app?

Haut.AI is designed to be easily integrated into any e-commerce platform. The plug-and-play platform allows beauty brands to build personalized skincare analysis applications fully customized to their branding, added to any website by embedding a small piece of code. For e-commerce sites built on Shopify and WooCommerce, Haut.AI supports automatic product inventory transfer. Haut.AI also offers white-label solutions and API access, enabling fully customized customer experiences that integrate AI skin analysis into existing digital ecosystems.

What is LIQA?

LIQA, or Live Image Quality Assurance, is Haut.AI's smart image capture technology that guides users through capturing high-quality selfies for precise skin analysis. When a user takes a photo, LIQA provides real-time guidance on optimal face position, angle, lighting, and framing to ensure the image is clear, consistent, and suitable for accurate AI analysis. According to a study utilizing LIQA, 87% of images had sufficient quality for further analysis when LIQA was used, compared to only 32% when only written and schematic instructions were provided.