Portfolio
AI intelligence is not yet available for Clean Label Project. The portfolio data below is up to date.
1 app analysed
Verified product database functions as a specialized barrier against generic health apps.
Single-market publisher — every app ships only to United States.
Based on 1 of 1 app with localized market data · last scanned .
User-sentiment analysis coming soon.
Strategic outlook coming soon.
Last updated
Clean Label Project Mobile
v1.3.1
3mo ago
MenuFit competes directly by providing actionable health insights for dining out, mirroring the Clean Label Project's mission to help consumers make informed, science-based food choices.
known for
CalorieGuide Food Nutrition Facts Calculator for Fresh Produce & Healthy Diet Living
This app overlaps with the target's goal of providing nutritional transparency for grocery items and fresh produce.
This app is a direct functional peer, using AI to provide health scores for food products via scanning.
This app operates in the holistic health space, combining nutritional guidance with exercise and mental health support.
It shares the target's focus on long-term health outcomes through lifestyle modeling and data analysis.
A new entrant leveraging AI to automate nutrition and workout tracking, threatening the target's manual lookup model.
This app targets the same health-conscious demographic by offering dietary programs and weight loss recipes.
It provides a reference-based approach to nutrition, similar to the target's focus on verified food data.
This newcomer uses AI to provide personalized health recommendations, competing for the user's trust in health-related decision making.