Raise the Standard
Raising the standard of
care, efficiently.
AI-EarlySense is a privacy-first Edge AI safety platform designed for childcare, elderly care, and healthcare environments. It analyzes video locally to help identify predefined safety events and support timely staff response.
AI-powered monitoring helps caregivers ensure children's safety through intelligent real-time detection and alerts.
Fall detection
Aggression detection (Fighting)
Alone child
Restricted-zone entry
Prolonged immobility
Crying / call for help
Bathroom Counter
Ensure the safety and well-being of elderly residents with proactive AI monitoring and instant emergency alerts.
Fall detection
Aggression detection
Person not in View
Restricted-zone entry
Prolonged immobility
Near-fall detection
Crying / call for help
Wandering patterns
Bathroom safety
Sleep/activity patterns
Preventive risk indicators
Unsafe activity detection
Improve patient safety, staff efficiency, and hospital operations with AI-driven monitoring and real-time alerts. Clinical use cases are being developed together with healthcare partners
Fall detection
Aggression detection
Person not in View
Restricted-zone entry
Prolonged immobility
Crying / call for help
Bathroom safety
Unsafe activity detection
Our solution returns time to caregivers, without compromising privacy or dignity — scalable, secure, and innovative solutions built with humanity at the core.
Raising the standard of
care, efficiently.
Our solution returns time to
caregivers, without compromising
privacy or dignity.
Scalable, secure, and innovative
without compromising
humanity.
AI analyzes the environment locally and identifies predefined safety events based on the configured detection models.
The system classifies the detected event and determines its configured priority according to the deployment settings.
Authorized caregivers receive an alert through the notification channels enabled for their deployment, according to the institution's escalation workflow.
Staff review the alert, acknowledge the situation, and respond using established care procedures and professional judgment.
Monitor care institutions in real time with AI-powered safety monitoring.
Receive immediate notifications for unusual events and emergencies.
Secure data with enterprise-grade encryption and strict privacy controls.
Planned — A centralized interface for reviewing configured safety events and system information.
Planned — A mobile interface for authorized caregivers to access supported safety alerts.
AI analyzes events locally on the device, keeping sensitive video data on-site.
Continuous AI-powered monitoring for care institutions.
Real-time notifications to caregivers, staff, and administrators.
Protecting Every Moment with Secure AI.
AI recognizes potentially dangerous situations continuously.
Sensitive information is processed locally whenever possible.
The AI does not replace human judgement — it helps staff notice situations they may otherwise miss.
AI-EarlySense assists caregivers. It does not replace human supervision or decision-making.
AI-EarlySense is designed around local video analysis on the edge device. Continuous cloud video streaming is not required, and only configured event information is transmitted to authorized users, subject to the deployment's settings and architecture.
All information remains encrypted during transmission and storage.
Video is analyzed locally; only configured information is shared with authorized users or systems..
Restricted Access — Authorized Users Only.
Fast, local AI processing for responsive monitoring and alerts.
AI-EarlySense is being evaluated through pilot programs to understand deployment requirements, validate detection workflows, and gather feedback from participating care environments.
Find answers to the most common questions about Early Sense, AI monitoring, implementation, privacy, and support.
Discover how privacy-first AI can help care institutions detect critical situations earlier and support faster staff response.
Book Free DemoInterested in exploring privacy-first Edge AI safety monitoring for your institution? Connect with our team to discuss your care environment, potential use cases, and pilot-validation requirements.