Engineering for Skin Analysis
Most skincare apps are glorified photo filters. We built a computer vision pipeline that measures what matters—with engineering-grade precision.
Our Tech Stack
A frontier-scale vision model, fine-tuned on our proprietary dermatologist-calibrated dataset. Not an off-the-shelf beauty filter.
Custom Fine-Tuned Vision Model
We fine-tune a frontier-class multimodal model on our proprietary severity scale, anchored by expert pairwise rankings — teaching billions of parameters to score skin the way dermatologist-calibrated raters rank it.
Private & Secure Processing
Your photos are encrypted in transit and analyzed by our custom model on secure cloud infrastructure. Stored encrypted, never sold.
Privacy-First Architecture
AES-256 encryption at rest and in transit. Anonymized data handling. You own your skin data, not us.
Continuous Improvement
Every model version is benchmarked against held-out, dermatologist-derived labels before it ships — measured on both scoring error and expert rank agreement.
The Analysis Pipeline
From selfie to insights in seconds. Here's what happens under the hood.
Image Preprocessing
On-device face and landmark detection with capture-quality checks. Region-of-interest isolation — including a dedicated eye-region pipeline for under-eye metrics — before anything is analyzed.
Feature Extraction
Your capture is transmitted encrypted to our analysis service, where a frontier-scale vision model fine-tuned on our proprietary dataset examines it — attention mechanisms weighing everything from micro-texture to facial structure.
Multi-Task Prediction
Simultaneous scoring across 7 skin metrics: Acne Burden, Acne Severity, General Facial Redness, Dryness & Flakiness, Skin Aging, Dark Circles, and Eye Puffiness. Each metric is calibrated independently for specialized accuracy.
Score Aggregation
Expert-anchored calibration maps raw model output onto our 0–100 scale. Temporal smoothing separates real skin change from day-to-day noise in lighting and capture.
Insight Generation
Trend analysis over your history. Correlation with routine data. Personalized recommendations based on your unique patterns.
Built on Real Data
Our model is trained on a curated, expert-ranked dataset of real-world images, with development guided by input from a board-certified dermatologist.
Unlike consumer apps that rely on subjective beauty standards, our reference labels are grounded in structured evaluation criteria across key skin metrics — including acne, redness, hydration, aging signs, and eye vitality.
We continuously analyze model performance across different skin tones, ages, and visual characteristics to improve robustness and reduce bias. Our goal is transparency and consistency: measurements based on observable features, not diagnosis or subjective ideals.
Experience the difference.
Join users who track their skin with engineering precision.
