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Company profile

Haut.AI

AI skin analysis and generative AI for personalized beauty experiences.

haut.aiProfile compiled July 20264 source pages read
Category
Vertical SaaS
Headquarters
Tallinn, Kesklinna linnaosa
Sells to
Mixed
Business model
SaaS subscription, Usage-based API
Deployment
Cloud / SaaS, API, Mobile
Pricing
Not published
Builds own models
Yes
Modalities
Image

Haut.AI is an industry-leading global artificial intelligence company specializing in skincare and longevity. They combine advanced deep learning techniques for machine vision, deep generative models for synthetic data generation, and reinforcement learning with expert human dermatologists, nutritionists, and biogerontologists. The company develops advanced, hyper-personalized recommendation engines for the beauty, skincare, and longevity markets. Their SaaS solutions enable beauty brands to deliver hyper-personalized digital experiences and accelerate product innovation at scale. Haut.AI supports diversity and inclusion by developing AI that is effective across a range of different skin types and skin tones, and develops novel techniques for identifying bias.

  • AI Skin AnalysisClinical-grade skin diagnostics that turn consumer selfies into personalized product recommendations. It analyzes 20+ skin health and beauty metrics with clinical precision, trained on 3M+ data points across diverse skin types, ensuring 98% diagnostic accuracy. It detects 150+ skin parameters from a single photo, powering personalized product recommendations, in-store consultations, and R&D data pipelines. Available as a No-Code SaaS solution (Skin Consultant App) or via API.
  • Skin.ChatAn always-on AI skincare companion that guides consumers from skin concern to checkout with personalized routines, product advice, and brand-aligned communication. It adapts to each brand's tone, style, and communication guidelines, and allows users to recommend, explain, and add-to-cart without leaving the chat. It uses AI trained on 3+ million images and 15+ measurable skin parameters, and features a context-aware recommendation system (DEEP C.A.R.E.) and long-term memory.
  • SkinGPTGenerative AI that visually simulates skincare product results on real skin before purchase. It creates life-like virtual skincare try-ons, visually demonstrates the impact of key ingredients, and brings product claims to life with science-backed visuals. It is the first platform to provide hyper-realistic, GenAI-powered skin simulations, grounded in real scientific data, trained on over 3 million data points, and developed from over 6 years of Haut.AI’s research. Key capabilities include aging progression simulation, product/treatment effects over time, and environmental factor simulations.
  • Face Analysis 3.0A clinical precision AI skin assessment tool that transforms a simple photo into a scientific skin map, measuring nuances of color, texture, and structure. It measures 29+ distinct skin parameters with clinical precision, with 98% accuracy validated against dermatological standards, and analyzes 150+ skin biomarkers. It supports two clinically grounded scoring systems (Grades of Severity 1-5 and Scores 0-100) and pixel-level masks. Features Face 180 for consistent analysis from every angle and Skin Atlas for anonymizing photos while preserving key skin data.
  • AI-powered skin analysis
  • Generative AI for visual simulations
  • Hyper-personalized recommendation engines
  • Deep learning for machine vision
  • Deep generative models for synthetic data generation
  • Reinforcement learning
  • Trained on 3M+ data points across diverse skin types and tones
  • 98% diagnostic accuracy
  • Detects 150+ multidimensional facial biomarkers
  • 94 algorithms for personalized product recommendations
  • No-code SaaS solutions
  • API access for integration
  • Real-time conversation intelligence (Skin.Chat)
  • First-party data collection & insights (Skin.Chat)
  • Brand voice & safety controls (Skin.Chat)
  • Personalized skincare routine builder (Skin.Chat)
  • E-commerce integration (Skin.Chat)
  • Long-term memory for user interactions (Skin.Chat)
  • Omnichannel deployment (Skin.Chat)
  • Hyper-realistic GenAI-powered skin simulations (SkinGPT)
  • Aging progression simulation (SkinGPT)
  • Product/treatment effects over time simulation (SkinGPT)
  • Environmental factor simulations (SkinGPT)
  • Synthetic data generation (SkinGPT)
  • Clinical precision in AI skin assessment (Face Analysis 3.0)
  • 29+ distinct skin parameters measured (Face Analysis 3.0)
  • Face 180 for consistent analysis from every angle (Face Analysis 3.0)
  • Skin Atlas for privacy-preserving analysis (Face Analysis 3.0)
  • Delivering hyper-personalized digital experiences for beauty brands
  • Accelerating product innovation at scale
  • Personalized product recommendations based on skin analysis
  • In-store consultations
  • R&D data pipelines for beauty brands
  • Guiding consumers from skin concern to checkout with personalized routines and product advice
  • Virtual skincare product try-ons
  • Visualizing ingredient effects
  • Demonstrating long-term impact of products
  • Simulating combined effects of products and environmental factors
  • Boosting marketing efficiency with before-and-after visuals
  • Generating synthetic data for clinical trials and AI model training
  • Providing patients with realistic visualizations of potential treatment effects (for clinicians/dermatology practices)
  • Showcasing efficacy of skincare products (for beauty brands/product developers)
  • Streamlining creation of high-quality visuals for campaigns (for marketing teams)
  • Enhancing shopping experience with personalized virtual try-ons (for e-commerce/retailers)
  • Powering research and personal diagnostics
  • Generating reproducible, quantifiable data across trials (for clinical and R&D studies)

Haut.AI specializes in AI for skincare and longevity, combining deep learning for machine vision, deep generative models for synthetic data generation, and reinforcement learning. They develop hyper-personalized recommendation engines and AI-powered tools for skin analysis, product recommendations, and visual simulations of skincare results. Their AI is trained on millions of data points to ensure accuracy across diverse skin types and tones, and they focus on identifying and mitigating bias.

Tech named: deep learning, machine vision, deep generative models, synthetic data generation, reinforcement learning, computer vision model, DEEP C.A.R.E. (context-aware recommendation system), Skin Atlas (patented tech for anonymizing photos)

  • Skincare
  • Beauty
  • Longevity
  • Advanced Aesthetics
  • Cosmetics
  • Retail
  • E-commerce
  • Dermatology
  • Clinical Research
  • Industry-leading global AI company specializing in skincare and longevity
  • Combines advanced deep learning, deep generative models, and reinforcement learning with human experts (dermatologists, nutritionists, biogerontologists)
  • Developed AI that is effective across a range of different skin types and skin tones, and identifies bias
  • 98% diagnostic accuracy across diverse skin types, validated against expert-labeled datasets
  • Trained on 3M+ data points
  • Offers both no-code SaaS and API deployment options
  • Context-aware recommendation system (DEEP C.A.R.E.)
  • First platform to provide hyper-realistic, GenAI-powered skin simulations (SkinGPT)
  • Grounded in real scientific data for credible and transparent results (SkinGPT)
  • Clinical precision in AI skin assessment (Face Analysis 3.0)
  • Patented Skin Atlas technology for anonymizing photos while preserving key skin data for privacy
UndisclosedSeed2023-11-21wwd.com

LongeVC, Grupo Boticário shareholders, VC branch of Grupo Boticário shareholders

From the AI funding tracker — rounds as reported by the linked publications.

This profile was compiled from Haut.AI's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.