Clinical-grade skin cancer detection powered by AI, built for accuracy and designed for equity across all skin tones.
No dermatologist appointment required. Dermi puts clinical-grade screening in your pocket, fast, private, and accurate.
Use your smartphone camera or pair with our low-cost clip-on dermoscope for high-resolution imaging of suspicious moles or spots.
Our fairness-validated deep learning model analyzes your image in seconds, checking for visual markers of melanoma and other skin cancers with clinical precision.
Get a plain-language risk assessment with a confidence score, visual explanation, and clear next steps including when to seek professional care.
Dermi pairs with a low-cost hardware attachment to turn any smartphone into a medical-grade dermoscope. No clinic. No referral. No waiting weeks for an appointment.
Dermi's model is trained and validated on the Fitzpatrick17k dataset with novel fairness metrics, including the WCUG (Worst-Case Underdiagnosis Gap), to ensure no skin tone is left behind.
The dermatology AI field has a bias problem. We are here to fix it, one model and one skin tone at a time.
Black patients are up to three times more likely to die from melanoma than white patients, often because AI diagnostic tools were never built to see them and specialist access remains deeply unequal.
Dermi is designed to be free for end users. Combined with a low-cost clip-on dermoscope, anyone with a smartphone can access clinical-grade screening, not just those with insurance or nearby specialists.
Dermi Labs was built on the belief that equitable healthcare is a human right. Every model we ship is tested against our proprietary fairness framework before it ever reaches a user, because getting it wrong costs lives.
Dermi Labs brings together machine learning researchers, medical advisors, and engineers united by one mission: fair AI for every skin tone.
ML researcher and entrepreneur. Passionate about building AI that saves lives equitably.
Board-certified dermatologist providing clinical validation and medical oversight for Dermi's diagnostic models.
Specializing in bias detection and fairness-aware ML. Architect of the WCUG fairness validation framework.
Dermi is launching soon. Join the waitlist to get early access to the app and hardware, and help us build the most equitable skin cancer detection tool ever made.
Whether you're a clinician, researcher, investor, or patient advocate, we would love to connect.