EQO Label

EQO Label is an AI-powered personal nutritionist app that creates ultra-personalized meal plans based on your health goals, dietary needs, and lifestyle. It combines artificial intelligence with certified human nutritionists to deliver tailored nutrition guidance.

What It Does

EQO Label generates daily meal plans adapted to your specific objectives—whether you want to lose weight, build muscle, improve energy, or address health concerns. The app learns from your preferences, schedule, and feedback to refine recommendations over time.

Key Features

• Comprehensive Personalization: Choose from 20+ filters including diets, goals, physical activity, budget, cuisine preferences, and seasonality. The system also integrates with wearables and lab-test data for precise adjustments.
• Human Nutritionist Support: Certified dietitians review your progress, adjust plans, and provide medical adaptations when needed, all through in-app chat.
• Science-Backed Methods: Meal plans are grounded in nutrition science and clinical studies, ensuring safe and effective recommendations.
• Adaptive Learning: The AI continuously learns your tastes, schedule, and body's responses, automatically adjusting macro ratios and portion sizes.
• Privacy-First Design: Your data is encrypted and not shared, with always-on access for fast, private advice.

How It Works

After signing up, you specify your goals, dietary preferences (including 40 allergies and 20+ diets), activity level, and budget. The AI generates a 7-day meal plan instantly. You can then connect with a nutritionist for further refinement or medical adaptation.

Who It's For

EQO Label is designed for anyone seeking a structured, personalized approach to nutrition—from weight-loss beginners to athletes needing precise macro tracking. It caters to various diets (vegan, keto, gluten-free) and supports 14 different health goals.

Key Benefits

• Highly personalized meal plans with extensive filters
• Access to certified nutritionists for guidance
• Science-backed and transparent methodology
• Adaptive over time to user preferences and progress