Eye-Tracking AI That Understands People

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  • Enables apps and experiences that read and respond to users
  • Predict cognitive, emotional, and physical behavior in real time
  • Deploy on the devices people already use

Private  ·  At-the-Edge  ·  Passive  ·  Continuous

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Mental Workload
Mental Workload
Mental Readiness
Fatigue
Attention
Coming Soon

Mental Workload

  • Level of mental effort

Track cognitive load levels in real time and predict when a person is at risk of low load or overload — causing substandard decision making, slow reaction times, and poor user experiences.

Use Cases

Reduce Performance Errors

Detect when someone is approaching overload and intervene before mistakes happen.

Build Adaptive Experiences

Sense when mental strain is building and adjust difficulty, pacing, or content.

Optimize Training

Adjust programs in real time based on individual readiness and capability.

Enhance After-Action Review

Map cognitive effort to specific moments, pinpointing where errors happened.

Mental Workload

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Performance Impact
How load level affects performance

Low Load
User is disengaged. Cognitive resources are idle — this is the window to introduce new tasks or increase complexity before attention drifts.

Mental Readiness

  • Level of cognitive reserve

Measure remaining cognitive capacity and predict when reserve is depleting in real time — resulting in memory loss, confusion, and difficulty with complex tasks.

Use Cases

Assess Task Readiness

Measure how much mental reserve someone has before a task begins.

Build Mental Readiness

Use targeted exercises proven to quickly restore mental reserve.

Predict Capacity Loss

Flag in real time when a task is draining the reserve tank.

Measure What Drives Performance

Tie outcomes to mental reserve levels so you can optimize for next time.

Mental Readiness

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Performance Impact
How reserve level affects performance
High Reserve
Strong decision-making, fast recall, and flexible thinking. Ready for complex tasks.

Fatigue

  • State of alertness

Track fatigue levels in real time and predict when a person is at risk — leading to slower processing and reaction times, poor situational awareness, and higher risk of injury.

Use Cases

Reduce Performance Errors

Detect early signs of drowsiness and step in before it leads to mistakes.

Assess Task Readiness

Know whether someone is alert enough to perform before they start.

Increase Sustained Performance

Increase endurance and focus throughout long or demanding activities.

Improve Operational Safety

Reduce safety risks in environments where sustained performance is critical.

Fatigue

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Performance Impact
How fatigue affects performance
Alert
Reaction times and situational awareness are at full capacity. Performing within safe parameters.

Attention

  • Range of attention

Understand a person’s attention in the context of their environment, including what they’re looking at and whether they have a broad versus narrow scope.

Use Cases

Match Attention to Task

Show whether attention is broad or narrow when the task demands it.

Improve Visual Search

Confirm users looked where they needed to look — reducing missed cues.

Optimize Interface Clarity

Reveal attention breakdowns across tasks or interfaces.

Enhance After-Action Review

Map attention shifts before a response was taken, showing what drove errors.

Attention

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Performance Impact
Match width to task for best results
Balanced
Attention is balanced — neither strongly targeted nor broadly scanning.

Coming Soon

We’re deeply committed to strengthening human understanding through eye-tracking — and we have multiple additional models in progress.

  • Coming soon
    Motion Sickness

    Track motion sickness levels in real time and predict when a person is entering a state of nausea — causing mental and physical discomfort, fatigue, dizziness, and difficulty concentrating

  • Coming soon
    Reading

    Strengthen reading comprehension by tracking eye movements, comparing to known patterns, and providing real-time interventions.

  • Coming soon
    Focus

    Measure ADHD medication efficacy and treatment response by tracking eye movements during daily activities.

  • Coming soon
    Protect

    Authenticate users in real time using eye movements as a biometric identification tool.

Backed by 13 years of data, research, and expertise

Proprietary eye-tracking data

Datasets — performance, attention, emotion, and health

Peer-reviewed publications

Patents

One eye-tracking layer. Any device. Any environment.

Deploy eye-tracking anywhere and everywhere you need it with Theia™ by HarmonEyes.

Theia™
The HarmonEyes delivery vehicle
  • Lightweight
  • Private
  • At-the-Edge

Core utility

ACE

Automated Conversion Engine

The engine that makes eye-tracking universally compatible across all devices and data formats.

  • Device interoperability
  • Data formatting & filtering
  • Eye movement classification

Licensable models

Marketplace Solutions

Production-ready solutions built by
HarmonEyes and third-party developers.

  • Mental Workload
  • Mental Readiness
  • Fatigue
  • Motion Sickness
  • Clinical Biomarkers
  • Reading
  • Biometric ID
  • Attention
  • 3rd-party solutions
  • Your solution
Any camera-based device
  • Computers
  • Tablets & Phones
  • XR Headsets
  • Smart Glasses
  • Automobiles
  • Aircraft

Trusted by leading developers, enterprises, and organizations

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Access industry-first eye-tracking intelligence in seconds with Theia™ by HarmonEyes. Start your two-week free trial today.
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