The Biometric Layer For All Things Attention

By using your iPhone’s camera to track pupil dilation, PUPL detects patterns linked to ADHD and attention, helping you understand how your mind works.

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Solving For The Attention Crisis

In today’s digital world, attention is the most valuable commodity. With decreasing attention spans and rising self-diagnosis of ADHD, the need for objective measurement has never been greater.

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We Have Strong ADHD Diagnoses Accuracy

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Data Points Captured Across 160 Trials

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Average Disagnostic Time, Without Long Waitlists

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Estimated 1 In 10 Adults And Kids Affected By ADHD

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Alpha Testing

Why Our App Stands Out

Transforms your phone into a research-grade tool

Using only your iPhone camera, the app tracks subtle pupil movements to explore attention and focus patterns — no extra equipment or appointments required.

Grounded in neuroscience, designed for real people

Inspired by proven research methods, the tasks are simple, engaging, and designed to work even if you’re not familiar with scientific testing.

Privacy-first from day one

The app analyses eye movement, not your video feed. Your data stays private, encrypted, and used solely to improve your experience.

Building the next generation of attention tools

We’re exploring how eye-tracking can become a better way to understand focus, distraction, and cognitive health — starting with ADHD.

The Impact Of Attention Today

Explore our freshest projects, where bold ideas meet flawless execution, turning visions into impactful realities that inspire and impress.

Subjective Diagnoses

Current ADHD assessments rely heavily on subjective questionnaires, leading to inconsistent diagnoses and ineffective treatment plans.

Ineffective Learning

Traditional educational methods do not adequately address varying levels of student engagement and cognitive load, resulting in suboptimal learning outcomes.

Cognitive Overload

With increasing screen time and digital distractions, more individuals are experiencing cognitive overload and attention-related issues, impacting productivity and mental health.

High-Risk Monitoring Gaps

In critical environments such as aviation or surgery, there is a lack of real-time monitoring tools to assess cognitive engagement and fatigue, increasing the risk of errors and accidents.

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Solutions In Production

PUPL is the first non-invasive tool to measure attention through pupil dilation patterns. Utilizing your smartphone, we provide insights into cognitive function, helping users and professionals alike.

ADHD Diagnosis

A smartphone-based pupillometry platform that non-invasively measures pupil dilation patterns to assess cognitive function. This tool will provide objective data for screening, diagnosing, and monitoring ADHD, allowing healthcare professionals to make informed decisions based on real-time neurochemical activity linked to attention.

UX Research

Utilizing pupillometry to gather real-time data on user engagement and cognitive load during digital interactions. This technology will enable UX researchers to understand how users respond to different design elements, allowing for data-driven optimizations that enhance user experience and improve product design.

Educational Tools

An adaptive learning platform that leverages pupil data to measure student engagement and cognitive load. By analyzing attention levels, the platform can adjust content delivery in real-time, providing personalized learning experiences that cater to individual student needs and improve overall educational outcomes.

AdTech Growth

Implementing pupil-based metrics to optimize advertising effectiveness. By measuring user attention and engagement with ads, marketers can create targeted campaigns that resonate better with audiences, leading to higher conversion rates and improved ROI on advertising spend. This data-driven approach will facilitate the development of attention-triggered ads that adapt to user responses in real-time.

Scientific Research

Pupillometry as a Precision Biomarker for ADHD Diagnosis

Traditional ADHD diagnostics rely heavily on subjective behavioural assessments prone to bias and misclassification. This study presents pupillometry as an objective, non-invasive biomarker capable of capturing neurophysiological signatures of ADHD through the lens of the locus coeruleus-norepinephrine (LC-NE) system.

Using elastic-net logistic regression on pupil dilation data from children aged 9–13, our model achieved an AUC of 0.969, with 100% precision and 86% recall, outperforming prior benchmarks. These findings support the utility of pupil-based features as a proxy for LC-NE activity and attentional dysregulation, laying the groundwork for integrating physiological endophenotypes into future ADHD diagnostic frameworks.

Pranjal Bhatt

University of Chicago, Biological Sciences Division

Stories of Impact Voices of Trust

Discover how our innovative pupillometry platform is making a difference in the lives of users and professionals alike. Here’s what early testers are saying about their experiences with our ADHD diagnostic tool and its impact on cognitive assessment.

"Everything from strategy to execution was smooth, smart, and stunning. Nexcore felt like an in-house design partner from day one."

Abu Bakar

Founder, Morphex Studio

"From consultation to delivery, Nexcore showed unparalleled expertise. They perfectly understood our vision and brought it to life with precision."

David Rodriguez

Marketing Director, Global Brands Inc.

"We chose Nexcore for their reputation, and they exceeded all expectations. Their collaborative approach made the process seamless and enjoyable."

Michael Lee

Head of Product, Nexus Innovations

Frequently Asked Questions

Curious about how PUPL works? Here’s a quick look at common questions to show how our technology and products work.

What is pupillometry, and how does it work?

Pupillometry is the measurement of pupil size and reactivity as an indicator of cognitive function. Our platform uses advanced computer vision technology to analyze pupil dilation patterns through your smartphone camera, providing insights into attention and cognitive load in real-time.

How can your solution help with ADHD diagnosis?

Our smartphone-based pupillometry platform offers an objective method for screening and diagnosing ADHD by measuring pupil responses linked to neurochemical activity in the brain. This data can enhance diagnostic accuracy and monitor treatment responses over time.

Is the pupillometry assessment safe and non-invasive?

Yes, our pupillometry assessment is completely non-invasive and safe. It utilizes your smartphone camera to measure pupil dynamics without any physical contact or discomfort.

How accurate is your ADHD diagnostic tool?

In our clinical validation studies, we achieved a diagnostic accuracy rate of 97%. This high level of accuracy demonstrates the effectiveness of our technology in identifying ADHD and monitoring cognitive function.

Can your platform be used in educational settings?

Absolutely! Our platform can be utilized in educational environments to measure student engagement and cognitive load. By analyzing attention levels, educators can tailor content delivery to improve learning outcomes.t cutting corners.

How do you ensure data privacy and security?

We prioritize user privacy and data security. All data collected through our platform is encrypted and stored securely, and we adhere to strict data protection regulations to ensure your information remains confidential.

Let’s Shape Your Attention

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