What is Ray?
Ray is an AI-powered personal trainer designed to eliminate the mental burden of fitness planning. Whether you are a beginner starting fresh or a seasoned athlete looking to streamline your routine, Ray creates custom workout plans that adapt to your goals, schedule, and available equipment.
By acting as a digital coach that listens and responds, Ray solves the primary hurdle of consistent exercise: decision fatigue. Instead of scrolling through endless video libraries, you receive a guided, hands-free experience that allows you to focus entirely on your movement and performance.
Key Features
- 🤖 Smart Workout Generation: Ray builds balanced programs including strength training, cardio, and mobility based on your specific profile. It accounts for your experience level and target areas, ensuring every session is effective and safe.
- 🗣️ Real-Time Voice Adaptation: You can speak to Ray during your workout to make instant adjustments. If you’re feeling tired, short on time, or dealing with a minor injury, Ray modifies the remaining exercises on the fly to match your current state.
- 🔢 Automatic Rep Counting: Utilizing smart tracking, Ray automatically counts your repetitions and logs your progress. This hands-free functionality lets you maintain your flow without needing to stop and manually input data into your phone.
- 🏠 Equipment-Agnostic Training: The app scales your routine based on your environment. Whether you have a full gym, a single pair of dumbbells, or no equipment at all, Ray generates a professional-grade workout that fits your immediate surroundings.
- 📅 Intelligent Scheduling: Stay consistent with an automated weekly planner and timely reminders. Ray helps you organize your fitness life, reducing the friction of deciding when and what to train.
Use Cases
- The Busy Professional: If your meeting runs late and you only have 20 minutes, simply tell Ray. The app will instantly condense your session into a high-impact HIIT or circuit routine that fits your window.
- The Frequent Traveler: When you're in a hotel gym with limited gear, Ray can pivot your usual heavy lifting routine into a bodyweight or mobility-focused session, ensuring you never miss a day due to location.
- The Goal-Oriented Beginner: If you are intimidated by complex gym equipment, Ray provides guided video and voice instructions. It acts as a supportive coach, teaching you proper form and building your confidence without the pressure of an in-person trainer.
Why Choose Ray?
Ray differentiates itself from standard fitness apps by focusing on "Zero Decisions." While most platforms offer a library of static content, Ray provides a dynamic service that mirrors a 1:1 human coaching experience.
- Hands-Free Experience: Unlike apps that require constant tapping and scrolling, Ray is designed for a focused, "set it and forget it" workout.
- Dynamic Feedback Loop: Ray learns from your performance and preferences. If you enjoy certain movements or struggle with others, the AI adjusts future sessions to optimize for both enjoyment and results.
- Judgment-Free Coaching: You get the benefits of professional accountability and guidance 24/7, without the high cost or potential intimidation of an in-person trainer.
- Early Access Value: Currently, Ray is offering its premium coaching experience for free to early users, providing a low-barrier opportunity to build better habits.
Conclusion
Ray transforms your phone into a sophisticated training partner that handles the logistics of fitness so you don't have to. By removing the guesswork and adapting to the realities of your daily life, Ray helps you move past the planning phase and into a sustainable, long-term routine. It’s about more than just a single workout; it's about providing the clarity and support needed to see genuine, lasting transformation in your health and performance.
More information on Ray
Top 5 Countries
100%
United States
Traffic Sources
12.5%
1.38%
0.09%
5.09%
18.56%
62.39%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Jan 7, 2026)
Ray was manually vetted by our editorial team and was first featured on 2026-01-07.
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