Actualize Label provides an AI‑powered mobile app that scans food, cosmetics, and household product labels to deliver instant health scores and plain‑language explanations. Scores are personalized based on the user’s dietary restrictions, sensitivities, and wellness goals, and include ingredient flags and alternative product suggestions, all while keeping user data private.
Funding
Funding not disclosed
Founders
Product
Problem
Consumers struggle to interpret complex ingredient lists and product claims on food, cosmetics, and household items, making it difficult to assess health impacts, avoid allergens, or align purchases with personal wellness goals.
Solution
Actualize Label offers an AI‑driven scanning tool that converts product barcodes or label photos into easy‑to‑understand health scores. The platform generates both a general 0‑100 rating and a personalized score that reflects the user’s dietary restrictions, sensitivities, and wellness priorities. Scores are accompanied by plain‑language explanations highlighting flagged ingredients, nutritional concerns, and processing levels, as well as suggestions for better alternatives. Data sources such as Open Food Facts and established nutrition guidelines inform the scoring algorithm, while user preferences remain private and under the user’s control. The service is accessible via a mobile app, delivering rapid results for food, personal care, and household products.
Target Audience
Primary users are health‑conscious shoppers, parents, athletes, and individuals with specific dietary or sensitivity concerns who need quick, reliable guidance on the products they purchase.
Features
- Barcode or photo scanning of product labels with instant analysis
- Dual scoring system: General Score and Personalized Score adjusted for individual goals and restrictions
- Ingredient flagging (e.g., added sugars, sodium, allergens, controversial additives) with clear plain‑English explanations
- Alternative product recommendations for items with low scores
- Scoring methodology based on weighted factors such as flagged ingredients, nutrient limits, beneficial nutrients, and processing level for foods; ingredient risk and functional benefits for personal care/household items
- Privacy‑first design: no data selling, user‑controlled data deletion, and optional profile settings
- Mobile app interface with fast results and support resources (FAQ, in‑app feedback)