Haut.AI Becomes the First Company to Incorporate Generative AI for Skin Simulations

Haut.AI, a SaaS company specializing in artificial intelligence for skin, hair, and wellness analytics, has just announced its new generative AI tech for modeling skin conditions - SkinGPT. This breakthrough in the beauty industry uses AI to create synthetic images and apply skin conditions to input image data. SkinGPT enables users to upload their photos and apply AI to simulate how their skin will change over time when using certain skincare products. SkinGPT enables the first-ever skincare virtual try-on with photorealistic simulations and scientific backing.

SkinGPT-generated content fills the gap between consumer expectations and product effects by visualizing long-term cosmetic benefits. The tool is intended for beauty brands and retailers, who can implement it into their e-commerce retail. They can educate consumers about the changes skin might undergo if using (or not using) certain products. Haut.AI’s product-specific technology uses simulations based on given products’ clinical claims to ensure accuracy.

Haut.AI's SkinGPT also raises awareness of the adverse effects of environmental factors such as allergens, solar insolation, and pollution on the skin. These factors can influence the skin long term, causing prolonged inflammation, but consumers are often unaware of the consequences - SkinGPT helps to visualize their effects over the months and years and show why it’s worth taking preventative measures.

Haut.AI aims to educate younger customers on the importance of skincare as well. Teenagers and people in their twenties tend to neglect adequate skincare, feeling they do not benefit from products as much as the mature group. SkinGPT simulation allows younger consumers to project different trajectories of their skin’s futures and realize the long-term benefits of personalized product usage.

It facilitates R&D and testing by generating synthetic images of aging effects, product effects, and environmental damage. It enables data augmentation and fills gaps in data, such as age and phenotype.

"Generative AI is omnipresent, and beauty shouldn’t lag. I am proud that Haut.AI is the first to introduce generative skincare AI. Our technology educates consumers and allows them to get transparency on the effects promised by beauty brands. SkinGPT is just beginning, further facilitating R&D through synthetic images and unlocking new heights in the beauty industry. We're committed to pushing the boundaries of AI in skin care, and SkinGPT is proof of our ongoing research," commented Anastasia Georgievskaya, the Co-Founder and CEO of Haut.AI.

Haut.AI's SkinGPT combines generative pre-trained transformers, diffusion models, GANs, and classical computer vision models, enabling the creation of photorealistic images. Image-to-image and noise-to-image conversion techniques are used, utilizing computer vision models for a skin assessment and image generation.

Knowing the current generative AI has its limitations, Haut.AI is determined to push the boundaries of AI in skincare continuously. Following the launch of SkinGPT, Haut.AI plans to expand its AI offerings, currently working with DALL-E for skin - a text-to-image tool for beauty-specific fields. Haut.AI aims to become a toolbox for AI-powered beauty industry solutions, pioneering personalization and beauty intelligence.

SkinGPT is a game-changer in the skincare industry, providing a fun and engaging way to gamify technology while providing tangible benefits. Haut.AI facilitates R&D, educates consumers, and elevates customer experiences. Following its launch in 2018, the company again proves they are the key player to watch at the forefront of beauty tech research and innovation.

About Haut.AI

Haut.AI is a European AI startup pioneering next-gen self-care. No more guesswork or one-size-fits-all solutions: with a selfie snap, our "beauty intelligence" AI creates routines exclusive to you. Built on best-in-class R&D and trained on over 3 million images, Haut.AI’s proprietary software analyzes image, lifestyle, and environmental data to develop precise reports and personalized recommendations for skin and hair with enamel and acne analysis coming. More than 80 companies, including Ulta, have used our SaaS toolkit to launch B2C applications, create personalized product journeys, and deliver on their sustainability commitments. As a proudly women-led company, our mission is to help you know your body and see your beauty. Start by visiting us at www.haut.ai.

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...