Learn about our firm and its leadership

Motion Gestures was founded to disrupt hand tracking and gesture recognition technology

Company Overview

Motion Gestures was founded to address major industry issues in camera-based hand tracking and gesture recognition technology by leveraging advances in Artificial Intelligence. The company is headquartered in the Waterloo Region in Canada and has sales offices in United States, European Union, South America, and Asia-Pacific.

The firm launched its breakthrough hand tracking and gesture recognition software in 2021 and is currently engaged with more than 100 OEMs around the world. These firms are incorporating our software into next generation camera-based contactless user interfaces in verticals such as automotive, appliances, digital signage, healthcare, home automation, mobile, metaverse, retail, robotics, travel, and video games.

The company is backed by investors from Keiretsu Forum, Propel(x), and CCAA. One of its major investors is Mr. Allen Miner, who has been recognized by Forbes magazine on its Midas List and is famous for building Oracle Japan and Salesforce Japan.

About Leadership

Motion Gestures is led by experienced entrepreneurs and researchers who are passionate about revolutionizing human machine interaction by leveraging advances in Artificial Intelligence. They have deep expertise in AI/ML, embedded software, signal processing, and sensor fusion technologies for enabling sophisticated UI/UX with products.  

The founders believe people communicate with their voice and work with their hands. Hence technologies that can enable human voice-like or hands-like interaction with devices will go a long way towards enhancing consumer experience with products in diverse sectors.

Their previous venture was a pioneer of embedded AI-based voice recognition and was the first company to offer natural language understanding on ordinary processors. Their current venture is a pioneer of embedded AI-based gesture recognition and is addressing major industry issues such as recognition accuracy, computational footprint, and data collection.

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