Huixin Guardian
Built on a large model and centered on smart-ring monitoring and AI case-management innovation, Guardian connects home neuromodulation devices and digital therapeutics into a data closed loop. Hospitals operate the service themselves, extending care after discharge and helping grow revenue.
Pain Points & Solutions
Have you run into these problems?
Starting from out-of-hospital management pain points, we build a health service of continuous companionship.
A gap in out-of-hospital management
After discharge there is little ongoing follow-up or monitoring, and changes in condition go unnoticed
Full-course management
An AI assistant plus wearables enable continuous out-of-hospital monitoring and intervention
Psychological crises are hard to detect
Early signals of emotional problems are overlooked, and the best window for intervention is missed
Automatic crisis-signal detection
Physiological data and AI conversation identify crisis signals and trigger automatic alerts
A break in clinician–patient information
Out-of-hospital patient data cannot flow back to the clinician, leaving care decisions under-informed
Clinician–patient data interchange
Patient monitoring data syncs to the clinician side, supporting remote adjustment and intervention
High labor cost of case management
A single manager can serve only a limited number of patients, making scale difficult
Seven Claw AI case management
AI takes on daily supervision and companionship, sharply reducing labor input while deepening and broadening the service
Seven Claw
A new, AI-driven model of case management
A service loop of sensing → AI understanding → personalized response.
Sensing
A smart ring continuously captures heart rate, HRV, and other physiological data to sense the patient’s state in real time.
AI understanding
Seven Claw deeply analyzes continuous physiological data and stays in ongoing communication with the patient.
Personalized response
Based on changes in condition and real-time data, the system automatically generates interventions such as emotion regulation, cognitive training, and behavioral activation.
AI takes on much of the daily supervision and companionship
This significantly reduces case-manager workload while deepening and broadening the service. Pilots have shown that in-hospital care and out-of-hospital rehabilitation can be effectively connected, forming a complete full-course data asset.
Core Capabilities
Core capabilities
Everyday health management is the main thread, connecting monitoring, intervention, and reminders to help users build lasting habits of improvement.
Health monitoring
Real-time health data, with attention to mind and body
- Mood logs
- Sleep analysis
- Activity stats
- Health reports
AI assistant
An intelligent mental-health assistant, always there
- Emotional support
- Psychoeducation
- Relaxation training
- Crisis alerts
Device connectivity
Connect smart devices for comprehensive data capture
- Smart band
- Blood-pressure monitor
- Scale
- Sleep tracker
Health reminders
Intelligent reminders that help build healthy habits
- Medication reminders
- Follow-up reminders
- Activity reminders
- Sleep reminders
Technical Highlights
Technical highlights
AI companionship and device connectivity, creating a new out-of-hospital health-management experience.
Patient memory system
The AI remembers past conversations and preferences, providing personalized, ongoing companionship
Wearable ecosystem
Supports BLE devices such as JCRING Pro, continuously capturing HRV, blood oxygen, and other physiological metrics
Crisis-alert mechanism
Multidimensional signal fusion automatically detects crises and notifies clinicians or family members