
AI-POWERED SMART CYCLING FOR MAX BENEFITS IN MINIMAL TIME
The CAROL Bike transforms cardio into precision training. Using AI-driven resistance, it delivers the benefits of a 45-minute run in under nine minutes. It’s the perfect solution for high performers who want to stay fit, focused, and energized without sacrificing time or recovery.
Each ride adapts to your fitness level and adjusts resistance instantly, creating the ideal challenge for your body in real time. You’ll boost endurance, strengthen your heart, and improve metabolic health — all in a fraction of the time.

YOUR NEW GO-TO SOLUTION FOR:
Noticeably higher energy and sharper focus throughout the day
Improved cardiovascular and metabolic health
Efficient fat-burning and endurance in under 10 minutes
Sustainable consistency that fits your schedule
A smarter, science-backed approach to staying fit
HOW IT WORKS
CAROL’s advanced AI algorithm continuously adjusts resistance in real time to push you to your limits safely and efficiently, optimizing every second of your workout for maximum effect.
AI-POWERED RESISTANCE
REHIT delivers the most potent training stimulus with just two 20-second all-out sprints per session. This method mobilizes muscle glycogen reserves, triggers mitochondrial growth, increases blood plasma volume, and strengthens heart function. CAROL is uniquely designed to replicate this lab-based, supra-maximal intensity training.
REDUCED-EXERTION HIGH-INTENSITY TRAINING (REHIT)
Wiith sessions as short as 5 minutes, CAROL delivers the cardiovascular and metabolic benefits of traditional longer workouts, making fitness achievable and sustainable for busy lifestyles.
TIME-EFFICIENT DESIGN
THE APPARATI APPROACH +
CAROL BIKE? UNSTOPPABLE.
ACCELERATE YOUR FULL-BODY RESET
At Apparati, every minute spent in our facility moves you closer to your wellness goals. Experience luxury, precision, and smarter recovery expertly curated just for you.
Have Questions? Give us a call at 703-277-7284 and our team will get matched with the right tech for your goals.