Democratizing Eye

Democratizing Eye Tracking for

Democratizing Eye

Tracking for

Tracking for

adtech.

automotive.

Our advanced eye-tracking technology, powered by deep learning, is now available as an API for companies of all sizes.

65,248

Happy Customers

Build with Vytal

Build with Vytal

Use the Vytal API to easily integrate hardware-free gaze tracking into your tech stack our Python and JavaScript libraries.

Use the Vytal API to easily integrate hardware-free gaze tracking into your tech stack our Python and JavaScript libraries.

Build

Start your journey into building with eye tracking technology

  • Access to core eye tracking algorithms 

  • Pay-as-you-go pricing with usage tiers

  • Automatic rate limit increases

  • Self-service deployment tools

  • Ideal for researchers and startups

Scale

Unlock the full potential of eye tracking for your business. The Scale plan provides:

  • Customizable eye tracking solutions

  • Custom rate limits 

  • Real-time multi-user tracking

  • Dedicated account manager and 24/7 support

  • Tailored for large-scale research and enterprise applications 

Use Cases

Adtech

Eye tracking in advertising technology helps measure viewer engagement with ads by analyzing gaze patterns and fixation points. It enables advertisers to optimize ad placement, design, and content based on where users actually look, improving ad effectiveness and ROI.

Robotics

In human-robot interaction, eye tracking helps robots understand human attention and intentions.

Gaming

Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.

Psychology and Neuroscience

Researchers use eye tracking to study cognitive processes, attention, and decision-making in various experimental settings.

Human-Computer Interaction

Eye tracking in HCI allows for hands-free control of devices and interfaces, enabling users with limited mobility to navigate and interact with computers using only their eyes. It also provides valuable insights for user experience researchers, helping them understand how users visually process and interact with digital interfaces to inform better design decisions.

Education

In educational technology, eye tracking can assess students' reading patterns and comprehension, identifying areas where they struggle or lose focus. It can also be used to create adaptive learning systems that adjust content presentation based on a student's visual attention, potentially improving learning outcomes and engagement.

Sports

Athletes use eye tracking to analyze their visual focus and decision-making processes, helping improve reaction times and strategic awareness in various sports.

Adtech

Eye tracking in advertising technology helps measure viewer engagement with ads by analyzing gaze patterns and fixation points. It enables advertisers to optimize ad placement, design, and content based on where users actually look, improving ad effectiveness and ROI.

Robotics

In human-robot interaction, eye tracking helps robots understand human attention and intentions.

Gaming

Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.

Psychology and Neuroscience

Researchers use eye tracking to study cognitive processes, attention, and decision-making in various experimental settings.

Human-Computer Interaction

Eye tracking in HCI allows for hands-free control of devices and interfaces, enabling users with limited mobility to navigate and interact with computers using only their eyes. It also provides valuable insights for user experience researchers, helping them understand how users visually process and interact with digital interfaces to inform better design decisions.

Education

In educational technology, eye tracking can assess students' reading patterns and comprehension, identifying areas where they struggle or lose focus. It can also be used to create adaptive learning systems that adjust content presentation based on a student's visual attention, potentially improving learning outcomes and engagement.

Sports

Athletes use eye tracking to analyze their visual focus and decision-making processes, helping improve reaction times and strategic awareness in various sports.

Adtech

Eye tracking in advertising technology helps measure viewer engagement with ads by analyzing gaze patterns and fixation points. It enables advertisers to optimize ad placement, design, and content based on where users actually look, improving ad effectiveness and ROI.

Robotics

In human-robot interaction, eye tracking helps robots understand human attention and intentions.

Gaming

Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.

Psychology and Neuroscience

Researchers use eye tracking to study cognitive processes, attention, and decision-making in various experimental settings.

Human-Computer Interaction

Eye tracking in HCI allows for hands-free control of devices and interfaces, enabling users with limited mobility to navigate and interact with computers using only their eyes. It also provides valuable insights for user experience researchers, helping them understand how users visually process and interact with digital interfaces to inform better design decisions.

Education

In educational technology, eye tracking can assess students' reading patterns and comprehension, identifying areas where they struggle or lose focus. It can also be used to create adaptive learning systems that adjust content presentation based on a student's visual attention, potentially improving learning outcomes and engagement.

Sports

Athletes use eye tracking to analyze their visual focus and decision-making processes, helping improve reaction times and strategic awareness in various sports.

Meet our Partners

Camera calibration made simple with AutoCalib

Camera calibration made simple with AutoCalib

HAY

Renewable power

AutoCalib passively calibrates webcam eye tracking during normal laptop use, eliminating the need for manual calibration.

AutoCalib passively calibrates webcam eye tracking during normal laptop use, eliminating the need for manual calibration.

The algorithm enables low-barrier webcam-based eye tracking without requiring specialized hardware or active user participation, making the eye tracking experience truly seamless. By automatically calibrating camera parameters and estimating gaze direction using passive inputs, the system removes the need for manual calibration processes. 

Interested in repurposing our AutoCalib algorithm?
Contact us with your request.

The Future Of Eye Tracking and Brain Health

The Future Of Eye Tracking and Brain Health

The Future Of Eye Tracking and Brain Health