Selfie skin analysis in WeChat mini-program. Live in 5 days.
Skin intelligence
for every tone.
Precision skin analysis through two APIs — selfie and dermascope — covering 12 skin metrics with actionable data insights across all Fitzpatrick tones in under 4 seconds.
Skin analysis that
sees all of us.
Our AI is trained on 420K+ real-world scans from 30+ countries. Every Fitzpatrick type, every melanin level. Expert-labeled for tone accuracy — no systematic bias.
Unlike generic vision APIs, GlamSkin returns a Fitzpatrick classification alongside every analysis, ensuring recommendations are calibrated to your actual skin tone.
The complete skin
analysis stack.
Selfie API for instant consumer engagement. Dermascope API for deep data insights. Both skin-tone calibrated by default.
Phone camera.
Instant insight.
Zero hardware. Embed in your app or website. Live in 2 hours.
POST /v1/analyze/selfie { "image": "base64...", "skin_tone": "auto", "params": ["acne", "oil", "pigmentation", "wrinkles"] } → skin_score, fitzpatrick, metrics[], insights[]
Deep data insights.
8 parameters.
Pairs with any 20x dermascope. White-label hardware available. Analysis-grade output.
Not just a camera.
A data intelligence engine.
Most beauty APIs use generic vision models biased toward lighter skin. GlamSkin is expert-labeled across all Fitzpatrick types — built for the real world.
Proven results
across verticals.
From e-commerce conversion to customer retention — GlamSkin integrates across the full beauty and retail and beauty stack.
3 devices, 2 locations, 500+ clients in portal, integrated with booking system.
Free skin analysis kiosks in beauty sections. No staff training required.
Full white-label platform. Phase 1 in 6 weeks, full custom UI over 6 months.
Start free.
Scale with results.
SaaS or pay-per-scan. No complex setup, no upfront hardware costs.
Analysis-grade AI.
Not marketing.
Born from NUS Graduate Research. Benchmarked with Stanford and A*STAR. Patent pending.
Diverse training datasets
420K+ skin imaging contributions from 30+ countries. All Fitzpatrick types, multi-spectrum, expert-labeled.
Proprietary AI models
Domain-specific foundational model. Not a generic vision wrapper. Continuously retrained on diverse skin data.
Research validation
Active research with Stanford, A*STAR, NUS, and leading skin science partners.
Multi-spectrum imaging
UV, polarized light, LED — 3 spectra revealing sub-surface skin signals across all melanin levels.
Under 4 seconds
Edge-optimized inference. Full 12-metric insight report in under 4 seconds. Cloud or on-premise.
Genpulse ecosystem
Shares infrastructure with Lushair (hair), BrightSmile (dental), ClearVision (eyes).
Know your skin.
All of it.
From a 2-hour selfie API integration to full white-label analysis hardware — for every skin tone.