An ingredient-based recommendation engine that identifies similar products using TF-IDF vectorization and scans ingredient lists for potential irritants. It enables users to perform NLP-based product matching and check for skin-sensitivity red flags within Claude.
Enables AI assistants to search beauty products from Korean catalogs (Olive Young, Daiso, e-commerce) and analyze personal skincare routines and ingredient compositions via BeauticsLab.
Provides comprehensive Korean Beauty information through real-time web search, AI-powered skin analysis from photos, and curated knowledge of 58+ K-Beauty brands, ingredients, and personalized skincare routines.
SkinKnowledgeBase provides source-backed skincare question answering and product comparison context for AI assistants through a public, read-only MCP endpoint.
Enables querying cosmetics ingredient data across EU, China, and US regulations, running 65-rule formula risk reviews, multi-region compliance checks, and retrieving synthetic biology company metadata via natural language.
Enables checking cosmetic ingredient safety and multi-jurisdiction compliance across 12 regulatory bodies, backed by a comprehensive dataset of safety opinions and studies.
