Introducing the world’s first personalised skin care subscription service, Skin Trust Club
Powered by AI, next generation sequencing, and data from one of the largest skin microbiome data banks in the world, it allows users to identify skin care ingredients and a daily routine that suits your unique skin microbiome using a home analysis kit.
Register now for early access to your skin microbiome analysis kit.
Pre-registration has now opened for users to get early access to the app to order your very own skin microbiome analysis kit. Refined from our remote clinical trial swab, the kit is a simple swab of the face to collect a sample of microbiota.
Results are sent back to Labskin laboratories for analysis, then delivered to powerful servers where our AI creates a personalised report on the skin condition and type of each user using:
When the data is combined, it creates a complete picture of the user’s skin microbiome and the impact of your local surroundings. This data then allows the app to make recommendations on skin routines and the type of skin care products available, tailored to each user’s particular skin microbiome.
A truly, personalised skin care experience based on science instead of guesswork.
Behind the technology is Labskin, a lab-grown, human skin model that can determine the impact of cosmetic and skin care products on the skin microbiome.
Using AI and the expertise of our world class scientists, data from the Skin Trust Club will accelerate the discovery of the skin microbiome’s link to skin ailments and diseases such as:
Correlating the data amassed on the skin microbiome, will help us understand more about these conditions, and eventually how cancer starts, grows, and develops in the skin.
Instead of using the outdated and immoral practice of testing skin care products on animals, collecting skin microbiome data from the Skin Trust Club allows us to build AI-based models on all types of skin conditions.
Using these models allows customers, industry, and research institutes to test and refine potential new treatments. It works by:
With this data, our AI and machine learning algorithms analyse, match, and recommend the best skin care ingredients to suit daily skin care routines depending on health, age, and the environment in which the user lives.
Since the onset of the COVID-19 pandemic, people across the world are becoming more used to connecting and living their daily lives remotely. Leading to an increase in at-home testing kits for all types of cosmetic, health, and wellness purposes.
According to Data Bridge Market Research, projections for the global at-home testing market are expected to reach USD 16.02 billion by 2027 from USD 8.87 billion in 2019, at a CAGR of 6.80%.
With the onslaught of closures for high-street beauty and cosmetic salons due to the pandemic, consumers have no choice but to seek other ways to improve well-being and self-care.
Launching Skin Trust Club now places us in a prime position to offer consumers the next level of personalised skin care, with a simple swab of the skin to determine which skin care products are tailored to your unique skin microbiome.
In 2020 alone, the sale of online skin care products has increased significantly:
As the self-care market continues to grow, so will the trend of using non-toxic, microbiome friendly skin care products targeted towards healthier skin.
Labskin and Skin Trust Club together are primed to change the way we treat our skin conditions and accelerate the sale of microbiome friendly products to the next level.
Working with over 50 of the world’s largest cosmetic and skin care partners puts Labskin in a unique position to revolutionise the skin care market with the Skin Trust Club.
Our highly scalable and robust genome sequencing database, combined with secure, proprietary software and over 15 years of skin research technology will help our partners create the skin care products of tomorrow, today.
Register now for the free downloadable Skin Trust Club app, and get priority access to your home analysis kit at the formal launch, coming soon.