Architecture Overview
Designed for ultra-low latency and high reliability.
Designed for Ultra-Low Latency
Our architecture consists of three main components that work together to deliver real-time edge AI capabilities. Each component is optimized for performance, reliability, and seamless integration with your existing infrastructure.
- Edge Devices On-site hardware with embedded AI processing for local data capture and analysis.
- Real-Time Analytics Sub-second inference and decision making at the edge without cloud dependency.
- Dashboard & Alerts Instant insights and automated notifications delivered to operators and systems.
- Seamless Integration Compatible with existing safety systems, automation platforms, and business tools.
Optimized three-component system for maximum performance.
Ultra-low latency from edge to decision making.
High-availability design ensures continuous operation.
Optimized for Performance
Each component in our architecture is designed to work seamlessly with the others while maintaining independence. Edge devices process data locally, analytics layer makes instant decisions, and the dashboard provides real-time visualization and alerting.
- Edge processing Local AI processing eliminates cloud latency and bandwidth requirements.
- Instant decisions Real-time analytics layer makes decisions in milliseconds for critical events.
- System integration Standard APIs and protocols ensure compatibility with existing infrastructure.
Works with existing safety systems and automation platforms.
Uses standard APIs for easy integration and deployment.
Architecture scales from single devices to enterprise deployments.