Renude
Renude is a B2B SaaS plug-in that adds AI skin analysis, a conversational skin advisor and ingredient-level routine recommendations to skincare e-commerce sites, helping beauty brands and retailers scale expert consultation across every shopper.
What is Renude?
Renude is a business-to-business SaaS plug-in that installs AI skincare consultation on the website of a beauty brand or retailer. It is published by Skin Glossary Ltd, a British company registered in Canterbury under number 12368798, and it is sold to brands rather than to shoppers.
Three technologies sit underneath it: computer vision for skin analysis, machine learning for recommendation, and conversational AI for advice. The AI Skin Analysis reads a selfie across 32 skin parameters and highlights the precise area behind each finding; the company says it was developed with a team of dermatologists and built from more than three million data points, with over four million skin data points cited for real-time analysis. The AI Skin Advisor is a multimodal assistant that handles text and images around the clock and changes its prompts depending on whether the visitor is browsing a category page or a single product. The recommendation engine works at the ingredient level, sequencing complete AM and PM routines so that actives work together, explaining every product it suggests and offering equivalent alternatives from the brand's own catalogue.
Renude says its models are co-developed with board-certified dermatologists, licensed aestheticians and formulation chemists, and that the training set covers more than 100,000 real users and is audited continuously so results stay inclusive across skin tones and types. Deployment is deliberately light: a single line of code on Shopify, BigCommerce or WooCommerce, with custom APIs reserved for Enterprise customers. Colours, fonts, imagery, copy and even the questions the AI asks can be aligned with the brand.
The commercial argument is made through named case studies. Nip + Fab reports a 16% conversion rate from chat to purchase, a 42% lift in average order value and more than 70% fewer CX tickets; Sarah Chapman reports a 39% AOV lift and 88% email opt-in; Rodial reports a doubled average order value.
A separate consumer service also exists, where a photo consultation costs £20 and a 30-minute video consultation £35, each reviewed by a qualified aesthetician. Renude is not a medical device, and its terms exclude health care services and medical opinions.
What it does
- Analyse a skin selfie across 32 parameters and pinpoint the exact area behind each finding
- Answer any skincare question in real time, 24/7, from text or an uploaded image
- Generate complete AM and PM routines with a written rationale and ingredient tags for each product
- Match a shopper to an equivalent alternative product from the brand's own assortment
- Auto-analyse a brand's catalogue down to the ingredient level during onboarding
- Capture first-party skin data and push it into the brand's CRM and email platform
- Adapt its prompts to the page being browsed, from a category listing to a single product
When to use Renude / When not to
A quick filter to help you decide if Renude is the right fit.
When to use Renude
- D2C skincare brands with a large, ingredient-led assortment to explain to shoppers who arrive without a routine
- E-commerce and growth teams chasing conversion rate and average order value on a beauty catalogue
- Customer experience teams buried under repetitive product and ingredient questions
- Premium beauty brands that will only deploy an on-site assistant matching their own visual identity and tone of voice
- Larger retailers needing API access and ongoing account management through the Enterprise tier
When not to use Renude
- Anyone seeking medical guidance: the terms explicitly exclude health care services and medical opinions
- Buyers who need a published price before speaking to sales, since all three tiers lead to a pricing request
- Businesses outside skincare, as the ingredient and routine intelligence is built for that category alone
- Teams needing an immediate self-service rollout, given the two-to-four-week onboarding and demo-only entry point
- Organisations requiring a named subprocessor list or a formal security certification, neither of which is published
How to use Renude
A typical end-to-end flow, from setup to results.
- Book a demo or send a message through the contact form; there is no self-service sign-up
- Agree a tier with the Renude team, since no price is published
- Hand over brand guidelines, product information and access to the integrations to be connected
- Review the mockup Renude produces of the complete customer journey and send feedback
- Approve the build, then run final testing on the customised AI experience
- Add the single line of code to the store, or let Renude handle the integration with the right access
- Go live, finalising the post-journey email flow and marketing campaigns in parallel
- Let shoppers complete the skin questionnaire and upload photos, or open the advisor from any page
- Track the funnel, sales performance and aggregated questionnaire insights in the analytics dashboard
- Review results with the dedicated account manager on the monthly call
Pros & Cons
Pros
- Genuine category depth: ingredient concentrations and routine layering rather than a generic retail chatbot
- Models co-developed with board-certified dermatologists, licensed aestheticians and formulation chemists
- Installs with one line of code and no developer time, and Renude will run the integration itself
- Named case studies with identified contacts and published conversion, order value and support figures
- First-party skin data stays with the brand, which remains both controller and owner
- Training set described as continuously audited to stay inclusive across skin tones and types
- A dedicated account manager and a monthly performance review are included in every tier
Cons
- No public pricing at all: each of the three tiers leads to a pricing request
- The pricing page lists identical features for all three tiers, with only API access marking out Enterprise
- No free plan and no free trial, and no way to test the product unaided
- No public API documentation, and the About page carries no content
- No subprocessor list and no security certification such as SOC 2 or ISO 27001 are published
- The engine is marketed as self-learning, yet no opt-out from model training is documented
- The privacy notice is undated, written in the name of Skin Glossary, and sets an age threshold that contradicts the terms
Pricing & Plans
No price is published for the business offering. All three tiers, AI Skin Routine, AI Skin Advisor and Enterprise, carry the same Request Pricing call to action, so commercial terms are established by quotation. Neither a permanent free plan nor a free trial is announced. The only published amounts belong to the separate consumer service, where a photo consultation is charged at £20 and a 30-minute video consultation at £35, each including two weeks of messaging with an aesthetician.
- AI Skin Routine — personalised routines and ingredient intelligence
- powered by computer vision skin analysis
- price on request
- AI Skin Advisor — on-site personalised skin advisor with integrated skin analysis
- personalised recommendations and ingredient intelligence
- price on request
- Enterprise — the full suite with ongoing account management and API access for larger retailers
- price on request
- All three tiers list the same features
- technology and support blocks
- only Enterprise adds the mention of available APIs
- photo consultation at £20
- 30-minute video consultation at £35
- each including two weeks of aesthetician messaging
Data, GDPR & hosting
A consolidated view of how Renude handles your data.
GDPR overview
Renude claims GDPR compliance in plain words in its homepage FAQ, and a Data Processing Agreement is signed during onboarding. Concrete elements exist: controller and processor roles are defined, non-essential cookies rely on consent under the UK GDPR and PECR, and rights of access, rectification, erasure, objection and complaint are set out. An outsourced Data Protection Officer, Ametros Group Ltd, is named with a postal address, phone number and email. Gaps remain. No representative under Article 27 is designated, even though the publisher is established in the United Kingdom. No subprocessor is named and no security certification is claimed. The privacy notice carries no effective date, still speaks only as Skin Glossary, and its parental-consent threshold of thirteen contradicts the eighteen-year minimum in the terms.
Who owns the data?
When the plug-in runs on a brand's website, Renude states that the brand is the data controller and the owner of every piece of first-party data the AI collects, while Renude acts only as the data processor. That split appears on the homepage and is repeated in the cookie policy. A Data Processing Agreement is signed during onboarding to set out how the data is handled. For the separate direct-to-consumer service, the controller is Skin Glossary Ltd, company number 12368798, registered in Canterbury, with an outsourced Data Protection Officer, Ametros Group Ltd, reachable at dpo@ametrosgroup.com.
Reuse rights
The published documents describe how Renude and its clients may use the data, not a licence for shoppers to reuse it. Consumers supply questionnaire answers and skin selfies, processed to produce an analysis and a personalised routine; health information is handled as special category data on explicit consent, and automated decision-making is declared for the purpose of personalising skin treatment. Renude also states that each new interaction feeds back into the system, so customer interactions improve the models. On the brand side, the first-party data captured belongs to the client, which may push it into its CRM and email platforms to personalise campaigns and inform product and inventory planning. No opt-out from model training is documented anywhere on the site.
Data retention & training
Hosting summary
Renude names no hosting country and no hosting region. The privacy notice commits only to a principle: personal data will not be transferred to any country other than those granted an adequacy decision under the GDPR. It then adds an important caveat, that data may be shared with third-party organisations which themselves transfer it, with Skin Glossary undertaking no more than reasonable measures to keep those third parties compliant. The publisher is established in the United Kingdom and operates under the UK GDPR and PECR, which sets the applicable jurisdiction. Observable infrastructure shows a Shopify storefront served behind Cloudflare, but that is a technical fact about the website rather than a statement about where customer data is stored. Anyone with a data residency requirement will have to obtain the answer contractually, because the published documents do not provide it.
Things to keep in mind
Risks and trade-offs to weigh before adopting Renude.
- The engine is described as self-learning from every interaction, with no documented way to exclude your customers' data from that training
- Skin selfies and health-related answers are special category personal data; the consent flow on your own site has to be genuinely explicit
- Automated decision-making is declared for personalising skin treatment, which carries specific obligations towards the people profiled
- The tool is explicitly not medical, yet a dermatologist-styled analysis can be read as a diagnosis by a worried shopper
- Performance figures come from Renude's own case studies and are not independently audited
- No subprocessor list and no security certification are published, so third-party exposure has to be established contractually
- The terms require users to be 18 while the privacy notice discusses parental consent below 13, so the age rules need clarifying
Setup & Integrations
Technical difficulty
Very low on the client side. Renude describes a plug-and-play deployment installed with a single line of code and no developer time, and will run the integration itself if given access. The real effort is organisational: supplying brand guidelines, product information and integration credentials, reviewing a mockup, and testing before launch. Expect two to four weeks end to end. Enterprise customers on bespoke systems integrate through custom APIs instead, which does require a technical resource. The marketing team also has to finalise the post-launch email flow in parallel.
Deployment
Integrations
Behind Renude
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
Which e-commerce platforms does Renude support?
How long does it take to go live?
How much does Renude cost?
Is there a free trial or a free plan?
Who owns the data the AI collects?
Is customer data used to train the models?
What is the minimum age to use it?
Is this a medical service?
Is there a mobile app?
Should you pick Renude?
Renude is a narrow product that knows its category well. Its differentiator is not the chat window but the ingredient-level reasoning behind it: the system claims to distinguish similar formulas, understand active concentrations and sequence a routine so the actives work together, and its models are described as co-developed with board-certified dermatologists, licensed aestheticians and formulation chemists. For a beauty brand or retailer with a large assortment and a support team drowning in repetitive questions, that depth is the argument, and the published case studies put names and figures against it.
The counterweight is commercial opacity. Nothing is priced, the three tiers list identical features on the pricing page, and the only route in is a booked demo. Buyers cannot size a budget or compare tiers without a sales conversation, and should ask precisely what separates AI Skin Routine from AI Skin Advisor.
Data governance is clear on roles and thin on evidence. Renude states plainly that the client brand is the data controller and owner of the first-party data while Renude is the processor, and a Data Processing Agreement is signed at onboarding. But no subprocessor is named, no security certification is claimed, the privacy notice is undated and still written in the name of Skin Glossary Ltd, and the engine is marketed as self-learning without any documented way to exclude a client's data from that learning. A United Kingdom publisher serving EU visitors with no named Article 27 representative is worth raising too.
The sensible next step is the one Renude proposes: a demo run against your own catalogue, with the tier boundaries, the training terms and the subprocessor question settled in writing before signature.
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