Skin analysis that sees what you can't.
One selfie, fifteen dermatological signals, under twelve seconds, no clinic required.
It reads light, not just pixels.
Oyster captures a rapid burst of images at tiny changes in angle and exposure, then reads the light itself to separate real skin signals from shadow and glare.
That is how it tells melanin from a shadow, and true shine from a camera flare, on the phone already in your hand.
Three moves, twelve seconds.
Read
Your selfies are cleaned and calibrated across 1,400+ phone models, so a scan means the same thing on any camera.
Measure
Fifteen signals are measured in parallel, each by its own model, from hydration to dark spots to barrier health.
Match
Your profile is built and every product is screened for what fits, and what should never mix.
Fifteen signals, every scan.
Deep skin first, not as an afterthought.
Most skin AI learns on lighter skin and quietly loses accuracy the deeper it goes, so we built ours the other way round.
Oyster reads your skin tone on the Monk Skin Tone Scale, a 10-point scale developed by Dr. Ellis Monk with Google, and works across all skin tones.
It also checks what shouldn't mix.
Before anything reaches you, every recommendation is screened for ingredient conflicts like AHA with retinol, concentration limits, and your own sensitivity, so your routine is safe by design. Every model is developed with dermatologists and reviewed by real clinicians.