Skin Tone
Classification across the Fitzpatrick scale with high fidelity.
For Dermatology & Aesthetics Clinics
30-second skin assessment. Clinical-grade accuracy. Bhartiya skin.
Give every patient a 12-parameter skin assessment before the dermatologist walks in. No new hardware. No new software. Just a browser.
30 secAssessment time
88%+Accuracy
5Dermatologists validated
The Challenge
The dermatologist shortage.
Bharat has 1 dermatologist per 1,20,000 people. AI doesn't replace them it multiplies them
The average dermatology consultation in Bharat lasts 8–12 minutes. Half of that time is spent on visual assessment that AI can perform in 30 seconds. By automating the initial skin assessment, dermatologists can focus on diagnosis, treatment planning, and patient counselling — seeing more patients with better outcomes.
1 : 1,20,000
Dermatologist-to-patient ratio
8–12 min
Average consultation
50%
Time on visual assessment
Clinical Parameters
12 clinical parameters.
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%.
Acne Grade
Detection of papules, pustules, and cystic acne stages.
Moisture Level
Analysis of epidermal hydration and barrier function.
Texture
Identification of surface roughness and cellular turnover.
Dark Circles
Periorbital hyperpigmentation and vascularity analysis.
Pore Size
Quantifying dilated pores across T-zone areas.
Fine Lines
Detection of early-stage wrinkles and expression lines.
Pigmentation
Sun damage, melasma, and age spot mapping.
Wrinkle Depth
Volumetric analysis of surface grooves and fold intensity.
Oil Level
Sebum production analysis across facial zones.
Sensitivity
Detection of reactive areas and inflammation markers.
Complexion Evenness
Global analysis of tonal consistency and luminosity.
All parameters validated against expert consensus from 5 board-certified Bharatiya dermatologists on 5,000+ labelled images.
Workflow
Fits your existing workflow.
No new devices. No new software to learn.
Step 01
Capture
Patient photo taken on any tablet or desktop browser. No app download. No special hardware.
Step 02
Analyze
AI assesses 12 parameters in under 30 seconds. Severity grading included. Fitzpatrick type auto-detected.
Step 03
Report
Clinician reviews AI assessment alongside their own findings. Patient receives a branded PDF report.
Works on any tablet or computer browser. No app download required.
Features
Built for clinic operations.
Designed to fit seamlessly into clinic workflows—from patient intake to assessment and follow-ups. It helps streamline operations, save time, and deliver consistent, dermatologist-level insights at scale.
Patient PDF reports
Branded, professional reports with 12-parameter scores, severity grading, and treatment progress. Shareable via email or WhatsApp.
Patient Report
0%
Good
Last analysis: May 31,
2024
2024
SUMMARY METRICS
Acne
MODERATEPigmentation
MILDMelasma
MILDTREATMENT CONSISTENCYExcellent Compliance
GOOD
Before/After Tracking
Objective, AI-measured progress tracking across visits. Show patients measurable improvement in pigmentation, texture, and acne severity.
Multi-clinic dashboard
Centralised view across all locations. Track patient volumes, top skin concerns by geography, and clinician utilisation.
DPDPA compliant
All data hosted in Bharat (AWS Mumbai). Patient consent collected before every scan. Right-to-deletion supported. No data leaves Bharat.
What Clinics Say
Trusted by clinic chains across Bharat.
72 NPS
Net Promoter Score from clinic partners
30 sec
assessments Pre-consultation time reduced from 5 mins to 30 seconds
+40%
patients/day Clinics handle more consultations without increasing staff
“We deployed Rupam.ai across 12 locations. Pre-consultation assessments now take 30 seconds instead of 5 minutes. Our dermatologists can see 40% more patients per day, and patient satisfaction scores went up because they receive a detailed printed report after every visit.”
— COO, multi-city aesthetics clinic chain (name withheld under NDA)
Why Bhartiya skin
training matters
79% of skin AI training data comes from Western populations. That means 30–40% lower accuracy on Bharatiya skin tones. Read our benchmark study to see how Rupam.ai closes the gap.
Read the Accuracy benchmark
Western Ai modelRupam.Ai model
Frequently asked questions
Yes. Rupam.ai's skin analysis model was validated by a panel of 5 board-certified Bharatiya dermatologists on a benchmark of 5,000+ expert-labelled Bharatiya skin images (Fitzpatrick 3–6). The model achieves 88%+ diagnostic agreement with expert consensus across all 12 skin parameters.
Clinic pricing
Professional tier for single clinics. Enterprise pricing for multi-location chains. Contact us for a custom quote.
