Understand Your Skin with AI.
AiSkin uses advanced computer vision and multimodal AI to analyze facial skin conditions, monitor skin health, recommend evidence-based skincare routines, and help dermatologists, clinics, skincare brands and consumers make better skin decisions.
From selfie to signal.
Five stages, fully automated, under a second of compute.
Upload selfie
Live camera or file. Quality scored before inference runs.
Computer vision
Face detection, 468-point landmarking and segmentation isolate 40+ biomarkers.
Deep learning
Vision transformers grade severity with calibrated confidence per marker.
Routine generated
A multimodal model composes an AM/PM/weekly plan from evidence-graded actives.
Track weekly
Landmark-aligned rescans turn single readings into a trend line.
40+ biomarkers, every one scored.
Each prediction returns a severity value and a calibrated confidence score, so uncertainty is visible instead of hidden.
A report you can act on.
Composite scores, per-marker severity, skin age, risk trajectory and weekly trend graphs — in one view.
AI-generated skin assessment. AiSkin provides educational skincare insights and is not a substitute for diagnosis or treatment by a qualified healthcare professional.
Six products on one vision engine.
AM, PM and weekly steps with an explanation and an evidence grade for every recommendation.
500+ actives with benefits, evidence, mixing rules, side effects and pregnancy safety.
Real products filtered by budget, skin type, concern, pregnancy safety and cruelty-free status.
A natural-language skincare assistant with suggested prompts and grounded answers.
Patients, treatment tracking, clinical reports, appointments and exports.
REST endpoints, SDKs, webhooks and OpenAPI for building your own experience.
Built like an AI company.
Not a wrapper. A vision pipeline with its own landmarking, segmentation, calibration and explainability layers.
ViT backbones with CNN heads for dense, per-region severity maps.
468-point mesh normalises pose, scale and lighting before inference.
Per-pixel masks isolate lesions, pores and pigment fields.
Assessment plus context becomes an explainable, ordered routine.
Ingredient and product retrieval grounded in a curated corpus.
Temperature scaling so probabilities mean what they say.
Built on GPU accelerated AI.
Inference runs on GPU with CUDA-optimised pre-processing and TensorRT-compiled graphs, keeping latency low even under batch load.
Facial data, handled carefully.
Encryption in transit and at rest, explicit consent, role-based access, audit logging and deletion on demand.
Consumer images are processed in memory, not retained by default.
Explicit, revocable consent before any retention or model use.
Every clinic record access and export is logged.
Purge stored images and assessments on request.
The closest thing I've seen to a structured dermatology intake — but instant, and consistent across visits.
Your skin, decoded in 30 seconds.
Free to try. No signup. Nothing stored by default.
AI-generated skin assessment. AiSkin provides educational skincare insights and is not a substitute for diagnosis or treatment by a qualified healthcare professional.