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Renude

A dermatologist-approved AI skin advisor

Renude logo
1-20 employees
  • Retail
  • Artificial Intelligence
  • SaaS
  • eCommerce
Whitechapel, London, UK

Company mission

Renude is creating a way for everyone, everywhere to access reliable skin advice personalised to their needs

Top investors

60% female employees

Our take

According to Renude, despite consumers spending more than 90 minutes researching beauty products before buying them, most of the products are thrown away before being finished as they do not solve the skin problem they were bought for. Renude sets out to change this by connecting clients to licensed skincare experts that will help them build the perfect skincare routine.

Renude differentiates itself through connecting skincare with data science - every product they recommend has been vetted based on clinical data. Moreover, Renude aims to only hire clinical aestheticians that are highly qualified to offer skincare advice to clients - they have over 10 years of experience working in CQC accredited aesthetic skin clinics alongside the UK’s leading doctors and dermatologists.

Renude aspires to become the go-to place when it comes to skincare. The company plans to not only attract clients who want a personalised skincare routine, but also to encourage them to return for regular check-ins and routine tweaks, thus building a loyal customer base.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Benefits

  • Remote-first company
  • Equity options
  • 25 days holiday (excl. bank holidays)
  • Work from home opportunities

Funding (last 2 of 3 rounds)

Apr 2024

$0.2m

SEED

Sep 2022

$1.4m

SEED

Total funding: $2.1m

This company has top investors

Leadership

Pippa Harman

(Co-Founder)

Previously NPD Manager at Beauty Pie for 3.5 years, and Formulation Technologist at Boots and Reckitt Benckiser for 2.5 years collectively.

Catherine Nisson

(Co-Founder)

MSc in Data Science (distinction) from King's College London, BSc in Physics from James Madison University. Ten years experience in data science across consultancy, research and startup.