Blog

Notes on aging well, at home.

Conversations from the edgecare.ai founders on why we're building this, how it works, and why privacy comes first.

Introducing edgecare.ai · A three-part series

Subscribe on YouTube →
Episode 3 · Peter Memon & David Gleason

Behind the scenes: the dashboard and the edge

A first look at the institutional dashboard and the small edge computer that makes on-device AI possible, plus the three layers of privacy built into the design.

  • 100+ metrics per frame, summarized in plain English
  • Why video is deleted instantly and never stored
  • We surface observations for your doctor. We never diagnose.
Watch on YouTube →
Episode 2 · Peter Memon & David Gleason

The three Ps: passive, predictive, private

What edgecare.ai actually does. It reads gait and posture from a few seconds of everyday movement and spots slow changes long before anyone would notice them.

  • Passive: no wearables to charge, nothing to remember
  • Predictive: early warning, not fall detection after the fact
  • Private: video never leaves the camera, and you choose who gets alerts
Watch on YouTube →
Episode 1 · Peter Memon & David Gleason

Why we built edgecare.ai

Peter watched his father live with Parkinson's for fifteen years. That experience, and the hard choices every family faces as parents age, is where edgecare.ai began.

  • The gap between living alone and moving into assisted living
  • Lifespan vs. healthspan: how long you live well
  • Why dignity and privacy were design requirements from day one
Watch on YouTube →