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SOMAREALITY

Develops eye tracking-based digital biomarkers that measure cognitive load, attention types, and cognitive fatigue through real-time analysis of eye movement and pupil dilation. This technology provides precise, actionable insights for industries such as healthcare, aviation, and automotive, enabling improved safety, reduced training costs, and enhanced productivity by monitoring and optimizing cognitive performance.

Vienna, AustriaFounded 2019142K+ followers
Updated 4 months ago

Funding

$3.4M 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

Traditional methods of assessing cognitive function often rely on cumbersome equipment and controlled lab settings, limiting the ability to continuously monitor cognitive states in real-world environments. This makes it difficult to proactively identify and address cognitive overload, fatigue, and attentional deficits across various industries.

Solution

SOMA Reality provides eye tracking-based digital biomarkers that offer real-time insights into cognitive load, attention types, and cognitive fatigue. By analyzing eye movement and pupil dilation, their technology delivers objective, continuous measures of cognitive performance outside of traditional lab settings. This enables proactive monitoring and optimization of cognitive states in industries such as healthcare, aviation, and automotive, leading to improved safety, reduced training costs, and enhanced productivity. The system is designed for easy setup and seamless integration into existing workflows, providing actionable data for immediate decision-making.

Target Audience

The primary target audience includes professionals in healthcare, aviation, and automotive industries, as well as researchers in neuropsychology and cognitive science seeking objective, real-time cognitive insights.

Features

  • Real-time monitoring of cognitive load through eye-tracking analysis
  • Assessment of attention types, including sustained, selective, and switched attention
  • Measurement of cognitive fatigue based on eye movement patterns and pupil dilation
  • Algorithms that track changes in eye movement and pupil dilation to provide digital biomarkers
  • Integration with various eye-tracking devices for different environments and applications
  • Quick and easy calibration process for immediate data gathering
  • Scientifically validated eye tracking biomarkers for continuous monitoring
This profile is AI-generated and may contain inaccuracies.