Mirrorfolio is a remote eldercare platform built on Routine Stability Intelligence — a method of detecting behavioral and routine drift in post-discharge elders before it escalates into falls, missed medication, or re-hospitalization.

The system is anchored by the Home Hub, a table-lamp-form-factor edge-AI device that sits unobtrusively in the home and receives data from a network of compact ambient sensing units. Our first sensing unit is a smart pillbox that tracks medication routines; additional sensors for kitchen, bathroom, and living-space objects follow as the product expands.

There are no cameras and no wearables. The Hub runs models on-device, preserves privacy, and surfaces only meaningful deviations — not raw streams — to family caregivers and clinicians via the Mirrorfolio mobile app.

Designed, developed, and assembled in Kerala by an in-house team across hardware, firmware, and AI/ML. We are currently finalizing the second-generation prototype and preparing for multi-city pilots with eldercare networks and post-discharge cohorts.

Primary users: families of post-discharge elders, eldercare service providers, and hospitals seeking continuity-of-care infrastructure beyond the discharge moment.