The Power of Eye Tracking for the Enterprise - with Adam Gross, Co-Founder & CEO of HarmonEyes

Eye tracking has moved far beyond the clinic and the sports performance lab. In this episode, Ray Rike sits down with Adam Gross, co-founder and CEO of HarmonEyes, to explore how AI-powered eye-tracking is being deployed in enterprise environments to measure cognitive load, predict performance degradation, and reduce costly employee burnout and attrition before problems occur.

What You Will Learn:

• What eye tracking actually measures and why objective, passive, quantifiable eye movement data is more reliable than self-reported assessments for measuring cognitive and attention states

• How AI transforms raw eye data into actionable intelligence, including real-time model inference, individual adaptation across a population normative database of 15 million+ records, and predictive time-to-transition modeling

• Why personalization at scale matters and how Harmonize uses advanced machine learning to adapt its models to individual differences in age, sex, and experience level, making population-level models actually work for every individual

• Enterprise use cases with measurable ROI, including pilot training in flight simulators (shorter time to proficiency), remote operator and call center environments (fatigue and overload intervention before safety incidents), and employee burnout detection over extended time horizons

• The device-agnostic deployment advantage, covering webcams, phone cameras, smart glasses, and vehicle cabin cameras as signal sources that eliminate the need to purchase dedicated hardware

• How team leaders use real-time cognitive state data to shift from reactive management to proactive intervention, reducing performance risk across shifts and high-stress operating environments

• Privacy as a design principle, not an afterthought: Harmonize does not collect, store, or record eye tracking data or PII; the prior second of data is destroyed with each new output delivery

• Where to start as an enterprise buyer: the highest-value entry points are high-stress, high-stakes roles where burnout and performance degradation already show up as operational problems with measurable costs

• Career advice for early professionals: the best defense against AI-driven job displacement is not avoidance but mastery; become the human in the loop who knows the technology best