YOUR SKIN SCIENTIFICALLY EXPLAINED
AI analysis for skincare
Haut.AI is an innovative SaaS product that automates the collection of high-quality skin data and helps skincare brands build interactive product recommendations on e-commerce platforms.

ANALYSE SKIN CONDITION
Product
Haut.AI provides skincare brands with a B2B SaaS tool, available as an API and SDK, for AI analysis of their customers’ skin. This product facilitates R&D, provides essential tools for building skin analysis apps, and allows brands to develop a better understanding of their clients’ needs.
Based on your customer’s skin metrics, which are formed by cutting-edge image analysis and information on the user’s lifestyle, our innovative AI-powered recommendation engine will suggest appropriate skincare products.
RECOMMEND SUITABLE PRODUCT
ENGAGE WITH YOUR CUSTOMERS
Trained on millions of face and skin images, our advanced AI engine quickly and efficiently evaluates the face, identifying more than 15 essential skin health and beauty metrics.
Build loyalty and engagement with your customers by offering a high-quality, state-of-the-art digital experience on your e-commerce platforms.
Use cases
SKIN CARE APP
RETAIL KIOSK
R&D
SKIN CLINIC
Connect with your customers
Incorporate Skin SaaS’ AI algorithm into the interface of your own client application to accurately assess the condition of your customers’ skin and receive personalized product recommendations. The platform conducts a detailed analysis, calculates key skin health and beauty metrics, and transmits the gathered information to your customer app. Simultaneously, you’ll receive comprehensive reports through Haut.AI’s dashboard.
Build your own product personalization
Use data-driven recommendations to get marketing insights for retail points of sale and online marketplaces. The information you provide will be analyzed by Skin SaaS’ AI algorithms, and you’ll also receive aggregated, anonymized analytics through Haut.AI’s dashboard.
Track testing at scale
Use Skin SaaS to transform R&D insights into actionable, science-driven marketing opportunities. Skin SaaS allows you to test a particular product’s effectiveness in a standardized manner using the power of machine learning. What’s more, you can generate marketing hypotheses based on training algorithms applied to your specific lab images and selfies.
Track skin changes
Private practice doctors, dermatology specialists and researchers can use Skin SaaS’s intuitive web-based interface to track changes in skin condition, analyze research data and generate detailed and comprehensive skin reports for their clients.
SCIENTIFICALLY-BACKED ACCURACY
You have one shot at connecting with your customer
Our tools help you build trust, engagement and loyalty
SIMPLE BUT MIGHTY API
POWERFUL TOOL
High-throughput API with simple integration. Just send a photo to Skin Cloud and we will perform a quality check, generate a skin metrics report, create personalized recommendations, and deliver a simulation of the skincare treatment’s effect.
Over 15 skin and face parameters tested on high-quality datasets and validated by skin experts.
Together with our API and SDK, we provide web-based dashboards for advanced business intelligence. This simple-to-use service is designed to help you develop a clearer vision of your customer or client’s needs and provides an array of algorithms and other powerful features.
Three steps to accurate AI skin analysis
You’re three steps away from building better customer connections
Get a quote tailored to your needs
Connect your existing e-commerce platform and engage with your customers
Schedule a demo for our Skin SaaS system
BASIC
Pricing
Transparent pricing plan based on usage
Use our ready-made applications to analyze your clients’ skin condition, get comprehensive reports and try personalized recommendations.
SMALL & MEDIUM-SIZED BUSINESS
Why not experiment, customize the algorithm, and create new recommendations by adding your own products? Haut.AI will help you provide an exceptional digital experience.
Bring digital transformation to your cosmetics brand. A dedicated account manager and support team will work with you to build a fully customized solution powered by Skin SaaS.
ENTERPRISE
Give it a try!
Select an image to see a sample Skin Metrics report
Our partners
We are hiring
Tallinn, Estonia
Tech Lead
Responsibilities
Eliminate technical blockers, setup and evolve the product tech strategy. Communication and coordination with product owners and project managers to define and deliver the product vision. Onboard, grow and empower his team members.

Requirements
  • Solid knowledge of Python, Kubernetes, Azure & GCP stack and Backend Development in general.
  • Choose the right technology stack, ready-to-use components and solutions/architecture.
  • Organization of teamwork to meet the plan and schedule.
  • Elaborate and document architecture decisions.
  • Decompose business tasks to technical requirements.
  • Ensure quality and deadlines execution for your team.
  • Code Reviews.
  • Estimate technological risks and notify stakeholders.
  • Set and ensure the execution of company coding guidelines code styles and patterns within the team.
  • Manage cloud infrastructure (Azure, GCP, Kubernetes).
  • Use best practices for code improvements, testing, automation and delivery.

Tools we use to work efficiently
Asana, Slack, Bitbucket (git), Jira, Confluence.

Bonuses and perks
  • Work in innovative industry and digital healthcare project — we fight aging and extend healthy longevity through computer vision.
  • Collaboration with leading research universities all around the world.
  • Competitive compensation depending on experience and skills.
  • Friendly, creative and cohesive team.
  • Conferences and scientific events attendance.
Name
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CV
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Data scientist
At the moment Haut.AI has an open position for Data Scientist at Tallinn office in Telliskivi (LIFT99)

Responsibilities
  • Computer vision and deep learning algorithms development.
  • R&D in the area of computer vision for skincare.
Requirements
  • Strong ability to write good code in Python.
  • Strong knowledge of math, statistics and machine learning.
  • Experience in machine learning (as well as in deep learning). You should be familiar with general process (data preparation and preprocessing, training, testing, deployment and iterative improvement).
  • Experience with at least one machine learning framework: TensorFlow, PyTorch, MXNet, Caffe.
Also, nice to have
  • Experience in computer vision is a strong plus.
  • Familiarity with data visualization skills.
Bonuses and perks
  • Work in innovative industry and digital healthcare project — we fight aging and extend healthy longevity through computer vision.
  • Collaboration with leading research universities all around the world.
  • Competitive compensation depending on experience and skills.
  • Friendly, creative and cohesive team.
  • Conferences and scientific events attendance.
Name
E-mail
CV
Message
Data Analyst
Responsibilities
  • Interpreting and analyzing data using statistical techniques.
  • Preparing statistical reports.
  • Data visualization.
  • Generate ad hoc reports.
Requirements
  • Strong ability to write code in Python, knowledge of pandas, matplotlib, seaborn, numpy.
  • Knowledge of SQL.
  • Strong knowledge of statistics.
  • Familiarity with data visualization skills.
  • Strong analytical skills with the ability to collect, organize, analyze significant amounts of data with attention to details and accuracy
Tools we use to work efficiently
Jira, Slack, Bitbucket (git).

Bonuses and perks
  • Work in innovative industry and digital healthcare project — we fight aging and extend healthy longevity through computer vision.
  • Collaboration with leading research universities all around the world.
  • Competitive compensation depending on experience and skills.
  • Friendly, creative and cohesive team.
  • Conferences and scientific events attendance.
Name
E-mail
CV
Message
Designer
Responsibilities
  • Design of sites, website elements, interfaces, mobile and web applications.
  • Participation at the stage of formation of technical specifications, analysis and formalization of business requirements.
  • Analysis of customer requirements.
  • Description of user scenarios.
  • Analysis of user behaviour, identifying and solving problems in UX.
  • Creation of presentation materials.
  • Graphic design.
Requirements
  • Estonian and English language skills.
  • Portfolio availability.
  • Interest and passion for Tech startups, especially for the field of Artificial Intelligence and Computer Vision.
  • Last course Bachelor program students / Masters program students.
  • Networking and relationship building skills, excellent communication skills, competent speech.
  • Organization skills and attention to details.
  • Familiarity with SaaS, AI, deep learning, beauty and lifestyle will be a bonus.
Bonuses and perks
  • Work in innovative industry and digital healthcare project — we fight aging and extend healthy longevity through computer vision.
  • Collaboration with leading research universities all around the world.
  • Competitive compensation depending on experience and skills.
  • Friendly, creative and cohesive team.
  • Conferences and scientific events attendance.
Name
E-mail
CV
Message
Python developer (ML engineer)
Currently we are looking for talented and motivated Python Developer who is interested in Machine Learning for our Tallinn office in Telliskivi (LIFT99)

Responsibilities
  • Write effective and scalable code.
  • Development and deployment of ML and AutoML pipelines.
  • Development and deployment of computer vision algorithms.
  • Communication with other machine learning engineers and backend developers.
Requirements
  • Strong programming skills in Python.
  • Familiarity with code review, software testing, and Git.
  • Experience with Linux/Unix environments.
  • Solid knowledge in computer science (algorithms and data structures).
  • Strong interest in Machine Learning.
Nice to have
  • Experience with PostgreSQL and MongoDB is a plus.
  • Familiarity with Azure Cloud, Google Cloud or similar.
  • Knowledge of OpenCV and machine learning libraries (PyTorch, Tensor Flow, Keras, Scikit-learn) is a strong plus.
Bonuses and perks
  • Work in innovative industry and digital healthcare project — we fight aging and extend healthy longevity through computer vision.
  • Collaboration with leading research universities all around the world.
  • Competitive compensation depending on experience and skills.
  • Friendly, creative and cohesive team.
  • Conferences and scientific events attendance.
Name
E-mail
CV
Message
Contacts
team@haut.ai
Send us an email
Press requests
press@haut.ai
Tallinn, Estonia
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