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Wisear

The startup develops biosensing technology that integrates electrodes into wireless earphones to monitor brain and facial activity. This enables audio device users to control their earphones through voiceless and touchless interactions, providing insights into user engagement and performance.

Auxerre, FranceFounded 2019223K+ followers
Updated 3 months ago

Funding

$2.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Current methods for controlling devices like earphones, AR/VR headsets, and other interfaces often require manual input, voice commands, or touch-based interactions, which can be cumbersome or impractical in many situations. These traditional control methods can be disruptive, especially when hands are occupied, in noisy environments, or when discreet operation is desired.

Solution

Wisear is developing a neural interface technology that enables users to control their devices through seamless, voiceless, and touchless interactions. By integrating miniature electrodes into devices like wireless earphones and headsets, Wisear's technology monitors the user's bioelectrical activity, including brain, eye, and facial muscle signals. These signals are then processed by proprietary AI algorithms to recognize specific gestures and translate them into device commands in real-time. This approach allows for discreet, hands-free control across a variety of applications, enhancing user experience and productivity in diverse environments.

Target Audience

Wisear's primary customers include manufacturers of wireless earphones, AR/VR headsets, industrial equipment, and other devices seeking to enhance user experience with seamless, hands-free control, as well as end-users looking for more intuitive and discreet ways to interact with their technology.

Features

  • Embedded electrodes within audio devices capture bioelectrical signals from the brain, eyes, and facial muscles.
  • AI algorithms interpret neural activity in real-time to recognize gestures and translate them into device commands.
  • Hands-free control enables users to operate devices without manual input, voice commands, or touch.
  • Customizable controls allow users to tailor gestures to specific actions and preferences.
  • Integration with wireless earphones, AR/VR headsets, and other devices for versatile application.
  • Noise-resistant operation ensures reliable control in challenging environments.
  • Privacy-focused design processes neural signals locally, without transmitting data to the cloud.
  • Dev kit and SDK available for easy integration into existing devices and ecosystems.
This profile is AI-generated and may contain inaccuracies.