Sabila Labs offers Gladys, an AI-powered skincare platform that delivers personalized routines based on a comprehensive skin assessment. The system combines dermatological research with machine learning to generate science-backed recommendations that adapt to each user's unique skin profile and evolving needs.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional skincare advice is often generic, relying on broad product categories rather than individual skin characteristics. People struggle to navigate the overwhelming number of products and recommendations that don't account for their unique skin type, concerns, and environmental factors, leading to ineffective routines and wasted spending.
Solution
Sabila Labs provides an AI-powered platform called Gladys that delivers precision skincare guidance tailored to each individual. By combining dermatological research with machine learning algorithms, Gladys analyzes a user's comprehensive skin assessment and generates personalized routines backed by scientific evidence. The platform continuously adapts its recommendations as a user's skin evolves, ensuring the guidance stays relevant over time. This approach democratizes access to expert-level skincare consultation that was previously limited to in-person dermatology visits.
Target Audience
The primary audience is individual consumers seeking personalized skincare recommendations, particularly those who are dissatisfied with generic product advice and want science-backed guidance tailored to their unique skin profile.
Features
- AI-driven skin assessment that captures detailed individual skin characteristics and concerns
- Machine learning algorithms trained on dermatological research to generate evidence-based product recommendations
- Personalized routines that adapt dynamically as user skin conditions change
- Science-backed guidance designed to replace generic, one-size-fits-all skincare advice
- User-friendly platform interface that makes expert-level skincare accessible to non-specialists