At-home imaging that catches the earliest signs of change and alerts the people who manage your care, early enough to act.
The most consequential changes in the eye begin quietly, long before anyone feels them. Today they're usually caught at a check-up a year apart, or once the damage is already done. Earlier is better. Earlier is sometimes everything.
The screening meant to catch it comes once a year, if it comes at all, against a change that doesn't wait for the appointment. The signal that matters slips through the gap.
The device captures clinical-grade images of both eyes at home. No clinician, no appointment, no skill required. Put it on, and it does the rest.
AI trained to recognize the earliest signs of change, comparing each day against your own baseline, not a population average. Your eye, measured against itself.
When something shifts, the people who manage your care hear about it. Not a stack of images to review. One signal, in time to do something about it.
Sight is the first thing it protects. But an instrument patient enough to look every day sees what an annual visit never could, and the same window that reveals the eye reveals far more.
He's spent 25 years turning deep technology into companies and partnerships. As a startup CEO he raised over $20M and scaled to 120 people across four countries; at AT&T's innovation foundry he evaluated 3,300+ startups and structured billions in technology deals; at Intel he set edge-AI strategy, and at Xerox PARC he ran commercialization across 200+ researchers and their optical-sensing spinouts. He advises Sequoia- and Draper-backed startups and has taught at UC Berkeley for 15 years.