At ShedPilot, our mission is to put nutrition and fitness at the center of everyday life — delivering smart, personalized wellness plans that are practical, effective, and built around real data. We believe sustainable health starts with what you eat and how you move, not quick fixes, but long-term habits tailored to you. Whether you're on a GLP-1 medication or simply ready to take control of your health, ShedPilot simplifies the path to results with AI-driven guidance designed around your lifestyle and goals.
Our Core Values
Our Approach to Fitness & Nutrition
Our adaptive workout and meal plans are built around your experience level, equipment availability, and schedule. Whether you're a beginner building your first routine or someone optimizing for body recomposition, ShedPilot meets you where you are — and grows with you. Every plan is designed to complement your nutrition, so your food and movement work together, not against each other.






ShedPilot goes beyond generic calorie counters and cookie-cutter workout plans. Our AI analyzes your age, weight, health conditions, dietary restrictions, GLP-1 status, and fitness goals to generate a fully personalized daily nutrition and workout plan — updated as you progress. From barcode scanning to AI food photo recognition, adaptive workout scheduling to nearby restaurant recommendations, every feature is built to make healthy living simpler in real life, not just on paper.

Unlike many other wellness apps, ShedPilot combines AI-driven recommendations with guidance rooted in certified nutrition and fitness expertise. We account for often-overlooked factors — including GLP-1 medication status, health conditions, and body composition — to build plans that are truly customized. By utilizing your age, height, weight, gender, and health profile, ShedPilot designs a personalized daily plan to help you reach your goals and sustain them long term.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.