DermaSci provides a data-driven platform that translates complex skin biology into personalized, evidence‑based recommendations for both consumers and clinicians. By assigning evidence levels to ingredients and procedures, the system guides users toward the most effective skincare products, routines, and in‑clinic treatments, helping reduce decision fatigue and improve treatment outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Consumers and clinicians face overwhelming, contradictory information about skincare ingredients and aesthetic procedures, leading to decision fatigue, mistrust, and suboptimal treatment choices.
Solution
DermaSci offers a structured evidence‑based engine that evaluates each ingredient and procedure against a transparent rating scale, from strong clinical evidence to experimental. The platform assigns auditable evidence levels and integrates safety assessments, allowing users to see which products, routines, and in‑clinic treatments are scientifically supported and appropriate for their skin concerns. Recommendations are personalized to the individual’s skin profile and presented in the optimal order and timing, reducing confusion and improving outcomes. The engine continuously refines its ratings as new research is incorporated, ensuring recommendations stay current without relying on marketing hype or popularity.
Target Audience
Primary users are skincare consumers seeking reliable product guidance and aesthetic clinics looking to provide evidence‑based treatment recommendations during consultations.
Features
- Evidence rating system categorizing ingredients and procedures into Strongly Recommend, Recommend, Worth Trying, and Experimental based on clinical trial data and systematic reviews
- Separate safety assessment that can downgrade or block recommendations regardless of efficacy evidence
- Personalized guidance that aligns product and treatment sequences to individual skin biology and concerns
- Transparent, auditable protocol that avoids averaging conflicting studies and does not rely on popularity metrics
- Continuous update mechanism that incorporates new scientific findings to keep recommendations current