DEEP - 2026 Pricing, Features, Reviews & Alternatives

DEEP is an AI powered health and fitness application for iOS that integrates sleep tracking, workout programming, and nutrition monitoring into a unified platform. The software consolidates data from Apple Health including heart rate variability, resting heart rate, respiratory rate, and sleep analysis with logged meals and completed workouts to generate comprehensive daily readiness assessments. The platform is designed for individuals and professionals seeking cross-domain health insights rather than isolated metrics from single-purpose applications. The system delivers evidence-based recovery guidance, personalized training programs, and nutrition management informed by physiological data.

The dashboard presents a My Day score on a scale from zero to one hundred that synthesizes sleep quality, heart rate variability, resting heart rate, and respiratory rate data collected over the prior day to estimate physical readiness for training. The workout generation system draws from a library of one thousand eight hundred exercises and permits specification of target muscle groups such as chest, back, shoulders, legs, arms, and core; equipment configurations including full gym, home gym, dumbbells only, or bodyweight; session duration; and training styles such as strength, hypertrophy, endurance, or HIIT. The system indicates recovery status for each muscle group and adjusts training volume to prevent overtraining. Optional cardio components can be appended with user-defined type and duration parameters.

Nutrition tracking calculates personalized macronutrient targets using clinically validated energy expenditure formulas that account for body composition, activity level, and workout frequency. The system supports text-based database searches, barcode scanning, and AI-powered label recognition for logging items from a repository of eight hundred thousand branded and generic foods. Users can review macronutrient breakdowns for breakfast, lunch, dinner, and snacks while logging water intake through quick-add controls. The sleep tracking module monitors duration, stage distribution across deep, REM, light, and awake segments, heart rate variability, resting heart rate, and respiratory rate with data sourced from Apple Health. The sleep scoring algorithm evaluates these variables against clinical benchmarks for physical recovery and cognitive restoration and renders a sleep score along with a visual stage distribution chart.

The AI coaching system performs cross-domain analysis by correlating sleep quality, workout results, and nutritional intake to identify causal relationships that single-domain applications cannot detect. The coach processes natural language queries and responds by connecting physiological markers to recovery status, identifying nutritional deficits, and recommending corrective actions such as nutrient-dense meal choices and hydration increases. The system integrates exclusively with Apple Health and reads a comprehensive set of biometric and activity records while allowing manual logging of workouts, meals, and sleep in the absence of wearable devices. Wearable integration enhances data accuracy through continuous monitoring and automatic detection of sleep phases and workouts. All health data is stored locally on the device with no sharing to third parties.