System Architecture
FoodLoop integrates with Apple Health, Google Fit, Fitbit, Garmin, Oura Ring, and other health platforms. We collect nutrition data, training metrics, sleep patterns, heart rate variability, stress levels, and body composition data. All data is encrypted end-to-end.
Our proprietary machine learning models analyze your data in real-time. The AI identifies patterns, correlations, and causality between different health metrics. It learns your unique physiology, preferences, and responses to different interventions.
Based on the analysis, our algorithm generates personalized recommendations for nutrition, training, recovery, and mental performance. Every recommendation is tailored to your unique body, goals, lifestyle, and current state.
As you implement recommendations and log new data, FoodLoop learns from your responses. The system continuously improves its predictions and recommendations. The longer you use FoodLoop, the smarter it becomes.
System Architecture
A continuous cycle of data collection, AI analysis, optimization, and learning.

Collection
Analysis
Processing
Feedback
Connected to the world's leading health platforms
Deep learning that understands your unique physiology
Integrated System
FoodLoop's power comes from understanding how each aspect of your health influences the others. Here's how our features work together.
Your training intensity from Move directly influences your nutrition recommendations from Fuel. Hard training days trigger higher calorie and carb recommendations. Recovery days suggest lower calories and more protein for muscle repair.
Your sleep quality and recovery status from Recover determine your training intensity recommendations from Move. Poor sleep triggers lighter training. Good recovery enables harder workouts.
Sleep quality influences your hunger hormones and metabolic rate. Fuel adjusts nutrition recommendations based on your sleep data. Better sleep means better appetite regulation and metabolism.
Stress levels from Mind affect your training capacity, nutrition needs, and recovery. High stress triggers lower training intensity, higher antioxidant recommendations, and more recovery focus.
Nutrition directly impacts mental performance. Fuel optimizes micronutrients for cognitive function. Specific nutrients support focus, mood, and stress resilience recommended by Mind.
All features feed into each other in a continuous loop. Nutrition affects training performance. Training affects recovery needs. Recovery affects stress levels. Stress affects nutrition needs. FoodLoop optimizes across all dimensions simultaneously.
Integrations
FoodLoop seamlessly integrates with Apple Health on iOS. Automatically sync your nutrition, workouts, sleep, heart rate, and body metrics. Your FoodLoop recommendations also sync back to Apple Health. Perfect for iPhone and Apple Watch users.
Android users can connect Google Fit to FoodLoop. Automatic syncing of training data, steps, heart rate, and sleep information. FoodLoop recommendations integrate with your Android health ecosystem.
FoodLoop connects with Fitbit, Garmin, Oura Ring, Whoop, Apple Watch, and other popular wearables. Real-time data from your devices powers FoodLoop's recommendations. Heart rate variability, sleep stages, training load—all integrated.
Connect MyFitnessPal, Cronometer, Strava, and other fitness apps to FoodLoop. Your training and nutrition data flows between apps. FoodLoop provides the intelligence layer that connects everything.
FoodLoop uses industry-standard health data formats (HL7 FHIR). This ensures compatibility with current platforms and future health technologies. Your data is future-proof.
All integrations use OAuth 2.0 authentication. Your data is never stored on third-party servers. End-to-end encryption protects all data in transit. GDPR and CCPA compliant.
Science & AI

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