Lizz Health
Lizz is a conversational digital companion designed to bring a human touch to healthcare, offering gentle medication reminders, friendly check-ins, and progress tracking for patients. The platform shares insights with family and professional care teams, with current applications in dementia care settings to reduce caregiver burden while improving patient engagement and quality of life.
- Healthcare Technology
- Digital Health
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Patients and caregivers often face fragmented, impersonal digital care tools that fail to provide emotional support or meaningful engagement. In dementia care especially, clients can experience isolation and reduced quality of life, while caregivers lack structured, real-world insights into daily wellbeing and behavior.
Solution
Lizz provides a conversational digital companion that brings a human touch to care delivery. The platform engages patients through friendly check-ins, medication reminders, and guided interactions, while simultaneously collecting valuable insights for caregivers and clinicians. Lizz is designed to support both patients and care teams, improving engagement, outcomes, and daily quality of life. The solution is currently applied in dementia care, where it offers companionship and continuous observation without adding burden to professional staff.
Target Audience
Primary users are elderly patients, particularly those receiving dementia care, along with their family caregivers and professional care providers seeking a more human-centered digital care solution.
Features
- Conversational AI companion designed for natural, empathetic daily interaction
- Gentle medication reminders and proactive check-ins to support adherence and routine
- Progress-sharing functionality that connects patients with family and care teams
- Caregiver insights derived from patient interactions to inform care decisions
- Application in dementia care settings, combining companionship with structured data collection