RazFit vs ZoeMD

Side-by-side comparison to help you choose the right product.

AI trainer: daily bodyweight, no equipment.

ZoeMD instantly delivers evidence-based medical insights to physicians.

Last updated: February 28, 2026

Visual Comparison

RazFit

RazFit screenshot

ZoeMD

ZoeMD screenshot

Overview

About RazFit

RazFit is a native iOS fitness app built 100% in SwiftUI for iPhone and iPad. It delivers high-intensity bodyweight workouts in just 1 to 10 minutes a day — no gym or equipment required. The app features AI coaching with two virtual trainers, Orion and Lyss, who evaluate your fitness level and adapt exercises automatically. A gamification system with 32 unlockable milestones keeps you motivated through an entire year of training. Every exercise includes easier and harder modifications so you control your progression. RazFit is designed for all fitness levels, from complete beginners to advanced athletes. It leverages iOS 18+ technologies for a fast, smooth native experience. Start with a 3-day free trial.

About ZoeMD

ZoeMD stands as a transformative force in modern healthcare, redefining the paradigm of clinical decision support. It is a sophisticated, AI-powered medical intelligence platform meticulously engineered for the contemporary physician. At its core, ZoeMD is designed to seamlessly integrate into the high-stakes, time-sensitive environment of point-of-care medicine, serving not as a diagnostic tool but as an unparalleled intellectual accelerant. By harnessing advanced artificial intelligence, it instantly distills the vast, ever-expanding universe of peer-reviewed medical literature, clinical guidelines, and pivotal studies into concise, actionable, and verifiable insights. The platform empowers a broad spectrum of users—from seasoned specialists and resident physicians to medical students and clinical researchers—to make informed decisions with unprecedented speed and confidence. Its fundamental value proposition lies in eliminating the traditional friction of medical research, replacing hours of laborious cross-referencing across disparate sources with a single, plain-language query. This delivers a structured, evidence-anchored summary, thereby elevating the standard of care, enhancing clinical consistency, reducing cognitive load, and ultimately allowing healthcare professionals to redirect their invaluable expertise and time to what matters most: the patient before them.

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