sensea
Sensea provides a privacy-preserving home-care device for families monitoring aging parents who live independently. The device uses radar, thermal, and vibration sensors to learn daily routines and sends alerts—including short heat clips that never reveal faces—when something is unusual. All sensor data is processed on-device, with no camera or microphone, and the companion app lets family members verify events and decide how to respond.
- Internet of Things
- Healthcare Technology
- Digital Health
- Consumer Electronics
- Hardware
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Adult children caring for aging parents who live independently often lack visibility into their loved one's daily safety and well-being. Cameras invade privacy and are often rejected by seniors, while wearable alarms fail when users forget or cannot press them, leaving families worried and unaware of gradual changes in routine or sudden incidents.
Solution
Sensea provides a compact home-care device that learns an individual's normal daily rhythm using radar, warmth, and vibration sensors, and sends family members alerts when something is different. When a sudden or unusual movement occurs, the device captures a short heat clip—showing only warmth patterns, never faces—so family can visually verify what happened without a camera. The device also monitors room temperature and air quality, detects whether someone is home, and tracks gradual routine changes such as mornings starting later or reduced movement over weeks. All sensor fusion and decision-making happen on-device, preserving privacy while reducing false alarms, and the companion app gives family a clear overview and lets them decide how to respond.
Target Audience
Primary customers are adult children caring for aging parents who live independently at home, along with families seeking a privacy-preserving alternative to cameras and wearables for remote monitoring of elderly loved ones.
Features
- Triple-sensor fusion requiring radar, thermal, and vibration signals to agree before triggering any alert, reducing false alarms
- On-device edge processing with 20x per second object tracking and 300,000+ raw radar samples analyzed per second, with no raw sensor data leaving the home
- Heat clip verification with 19,200 factory-calibrated thermal pixels providing a ~60-second visual context around sudden movements without revealing faces
- Daily routine learning that detects both sudden events and gradual changes (e.g., mornings shifting later, slower movement through the home)
- Environmental monitoring for room temperature, humidity, light, and air quality with alerts for heatwaves or poor air
- Away mode that detects when the home is empty and alerts the family circle if someone enters
- 3 patent-pending detection and verification methods filed with the German Patent and Trade Mark Office