Inturai Movement Monitoring System is an AI-powered, non-intrusive monitoring solution designed to deliver real-time, precise movement and remote patient monitoring insights using your existing IoT and smart home infrastructure. It emphasizes privacy, low deployment costs, and rapid integration, providing a unified platform to monitor events and automate responses without the need for specialized hardware.
How Inturai Works
- Integrates with your current IoT/smart home devices to unify data streams.
- Applies AI-driven analysis to extract movement and operational insights.
- Delivers real-time alerts, dashboards, and actionable intelligence through a single, easy-to-manage interface.
- Supports no-code/low-code customization for event definitions, triggers, and automations.
Key Benefits
- Lower deployment time and cost by leveraging existing infrastructure.
- Enhanced data security and privacy with centralized, controlled access.
- Scalable monitoring across environments (home care, healthcare, IoT ecosystems).
- Ability to build custom ML models and event detectors with minimal friction.
Use Cases
- Remote patient movement and activity monitoring.
- Smart home–based health and safety scenarios.
- IoT system health monitoring and event automation.
Getting Started
- Join the waitlist to gain early access to the platform and features.
- Explore a no-code developer sandbox for testing integrations.
- Subscribe for expert insights and updates to maximize your Inturai experience.
Safety and Privacy Considerations
- Designed to minimize data exposure by leveraging existing devices and centralized processing.
- Privacy controls and security features are emphasized to protect sensitive information.
Core Features
- Real-time movement monitoring across existing IoT/smart home ecosystems
- Non-intrusive AI technology requiring no additional specialized hardware
- Single-line-of-code integration for quick deployment
- Real-time event monitoring with automated actions and alerts
- No-code/low-code customization for events, triggers, and ML model updates
- Unified dashboard for monitoring, analytics, and control
- Secure, scalable architecture with strong privacy protections
- Developer sandbox for testing and integration