Atlas5D
Atlas5D provides an Ambient Measurement System (AMS) that uses encrypted, non-video sensors to passively monitor the movement and routines of elderly adults living independently or in care facilities. The system recognizes specific individuals, quantifies motion, and analyzes behavioral trends to alert family members or caregivers to potential health risks like falls, all without requiring wearables or user interaction.
- Healthcare Technology
- Internet of Things
- Digital Health
- Medical Devices
- Artificial Intelligence
- Hardware
- Data & Analytics
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Many elderly adults live alone or in assisted living facilities, making it difficult for family members and caregivers to monitor their health and wellbeing between visits. Traditional monitoring approaches often require wearables that can be forgotten, video systems that raise privacy concerns, or user engagement that may be unreliable for those with physical or cognitive limitations.
Solution
Atlas5D provides an Ambient Measurement System (AMS) that uses encrypted, non-video sensors to passively recognize specific individuals, quantify motion, and analyze routines to predict trends and assess health risks. The system works automatically in any environment without requiring wearables or user interaction, transmitting no video or images while encrypting all motion data in the cloud. Families can set up the device in a loved one's home and use a mobile app to check on activity, receive customizable alerts for changes in behavior, and confirm visits from caregivers. For institutional settings, the system can monitor and distinguish between multiple residents simultaneously, enabling early intervention for adverse events such as falls. In healthcare settings, AMS captures clinical-grade measurements of patient progress under real-world conditions, supporting therapy evaluation and evidence-based decisions.
Target Audience
Primary customers are family members caring for aging loved ones who prefer to live independently at home, assisted living facilities needing resident health monitoring, and healthcare providers seeking real-world movement data for therapy evaluation.
Features
- Encrypted, non-video sensors that recognize specific individuals and quantify position, speed, and duration of motion
- Fully passive operation with no wearables, no user engagement required, and no photos or videos transmitted or stored
- Customizable alerts for changes in movement patterns or routines, such as falls or insufficient activity
- Ability to monitor and distinguish between multiple individuals simultaneously in different settings
- Cloud-based data encryption with patient-grade confidentiality and privacy protections
- Clinically validated measurements with AI-enabled trend prediction and risk assessment
- Easy-to-use mobile app interface for remote check-ins and status updates from any location