Tempo, a San Francisco, CA-based provider of an A.I.-powered home fitness system, raised $17.5m in Series A funding.
Backers included Founders Fund, Khosla Ventures, DCM, Bling Capital and others.
The company intends to use the funds for marketing, content production, and R&D efforts.
Led by Moawia Eldeeb, CEO, Tempo provides an in-home fitness system that combines computer vision, artificial intelligence, and human coaches. Its system features:
– Live and on-demand strength, high-intensity interval training (HIIT), and mobility classes led by expert instructors from top fitness studios, including Barry’s, Rumble, Equinox, and Orangetheory
– A competition-grade weight set that runs from 7.5 to 100 lbs, heart rate monitor, workout mat, and recovery roller
– A 42″ touchscreen HD display Tempo’s 3D motion sensors use infrared light pulses to scan users’ movements 30 times per second for advanced performance tracking and form feedback, and its proprietary A.I. leverages machine learning to plan workouts optimized based on each person’s progression. During live classes, trainers are notified in real-time when people make a mistake, enabling them to provide precise guidance.