Rupam.ai
AI Skin Analysis for Indian Skin · Fitzpatrick 3–6

AI skin analysis that turns every selfie into a product sale.

Built for Indian and South Asian skin tones (Fitzpatrick 3–6) — not a Western average. Bharat's only AI skin analysis engine trained this way. Brands using Rupam.ai report 20–40% higher conversion and 25%+ AOV lift.

Start Free TrialSee the Accuracy Data
  • 150 Free Scans/month
  • No Credit Card
  • Built for DPDPA
AI skin analysis — Hyperpigmentation Index 92.4%AI skin analysis — Pimples detectionAI skin analysis — Dark Spot detection
88%+Accuracy on Bharatiya skin
20–40%Avg. conversion lift
60 minIntegration time
Bhartiya skin
Western skin
Bhartiya skinWestern skin
40–60%accuracy drop on Bhartiya skin
the problem

Western AI fails Bhartiya skin.

Leading skin AI models are trained almost exclusively on European and North American skin tones. When applied to South Asian skin (Fitzpatrick 3–6), accuracy drops by 40–60%.

A Lancet Digital Health (2022) meta-analysis of 70 datasets powering dermatology AI found that 79% of images came from Europe, North America, and Oceania. Only 1.3% contained ethnicity metadata at all.

"The nuances of hyperpigmentation in melanin-rich skin are often misread as noise by models trained on Caucasian datasets."

79%
TRAINING DATA ORIGIN
Western Populations

The vast majority of publicly available dermatological datasets originate from North American and European clinical trials.

1.3%
METADATA TRANSPARENCY
Ethnicity Tags

Only a fraction of current data contains specific ethnic or geographical identifiers, rendering "diverse training" virtually impossible.

product

Three ways to deploy Bhartiya skin AI.

From self-serve API access to full white-label deployment pick the integration that fits your stage.

Skin Analysis API

Integrate our cosmetic skin-analysis engine into your existing web or mobile experience via a simple REST API.

Explore API
COMING SOON

Dataset Licensing

Access the world's largest diverse skin dataset for your own internal research and training. Curated for clinical precision.

Coming soon
COMING SOON

White-Label Engine

A fully branded solution for D2C brands. Launch your AI skin expert in days with our modular engine.

Coming soon

Performance Benchmarked.

From self-serve API access to full white-label deployment pick the integration that fits your stage.

Rupam.ai Precision88.4%
Western Global Models (avg)52.1%
Read Full Benchmark
Built for Bharatiya Skin
Trained exclusively on Fitzpatrick 3–6

"Every model we ship is trained and tested on South Asian skin tones from the ground up — not a Western dataset fine-tuned as an afterthought."

— RUPAM.AI TRAINING METHODOLOGY
Solutions

Built for every Bhartiya skin use case.

D2C Beauty Brands
AI VERIFIED

D2C Beauty Brands

Increase conversion by 20-40% with personalized skin recommendations.

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Enterprise Retail
SCALABLE

Enterprise Retail

Power 10 million scans a month under your brand.

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One simple API. Live in 60 minutes.

A single REST endpoint for skin analysis. Send an image, get structured results back — no SDK to install, integrate with any stack your developers already use.

analyze.sh
curl -X POST https://api.rupam.ai/rupam/v1/analyze \
  -H "Authorization: Bearer $RUPAM_ACCESS_TOKEN" \
  -F "image=@selfie.jpg"// Output: { skin_profile, conditions, overall_skin_health_score, suggestions }
D2C brands, clinics, startups

Start with 150 free scans

No credit card. No onboarding calls.

Paid plans after the free tier. Cancel anytime.

Let's Get 150 Free Scans
Enterprise

Let's talk about your use case

Dataset licensing for AI training and clinical trial integrations. Typically used by brands above ₹100 Cr revenue.

Typically responds within 1 business day

Book A Demo