ETH Zürich Startup VAY Acquired by Nautilus

Home fitness solutions developer Nautilus entered into a definitive agreement to acquire VAY, a motion tracking technology company. VAY’s technology uses machine learning and human biomechanical information to enable interpretation and analysis of human motion captured by cameras.

VAY’s computer vision software analyzes movements and provides real-time feedback on exercises, enabling repetition counting, form tracking, and customized coaching. The company will incorporate VAY’s technology into its JRNY digital fitness platform. The acquisition serves to bolster Nautilus’ position in the digital fitness industry.

VAY’s management and technical teams will be incorporated into the company as part of its software development group. VAY’s existing partnership with ETH Zürich will be expanded through a collaboration with the ETH AI Center and the formation of a dedicated center of excellence for the pursuit of personalized fitness.

Financial terms of the transaction were not disclosed. The transaction is expected to close in the coming weeks, pending customary closing conditions.

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Published: September 2021

Glossary

computer vision: Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training algorithms...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
machine learning: Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...

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