ez2AI Edge
Manufacturing AI that responds in real-time, right next to your equipment
Right next to the equipment, not in the cloud. Real-time analysis on Edge without network latency for immediate response.
Reduce defect rates and improve uptime for practical and reliable [manufacturing AI that pays for itself].
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Instantly analyze field data and recommend controls
Process all data with on-premise internal installation
Automatic prediction of tool replacement timing based on sensor data
Instantly identify causes with vision inspection + AI when defects occur
Pre-detect equipment failure signs and send automatic alerts
Search manuals with hands-free voice commands
Automatic power peak avoidance and sleep mode switching
Data is processed 100% locally on-site without external transmission, blocking any possibility of leaks.
Fully guarantees data independence as a core technical asset of the enterprise, providing a secure and reliable environment.
Instantly analyzes data right next to the equipment, delivering ultra-low latency response with zero network delay.
Enables real-time process control and immediate response in time-critical manufacturing environments where every second counts.
Simply attach to equipment or walls for immediate installation without complex server construction.
Ultra-compact design allows unrestricted placement in tight spaces while minimizing changes to existing infrastructure.
Ultra-low power at 15W with fanless design reduces energy consumption and supports uninterrupted operation.
Maintains high durability even in harsh industrial environments, with outstanding operational cost savings during long-term operation.
Operates independently even in offline environments without internet, and synchronizes data with the cloud when needed.
Simultaneously provides on-premises stability and cloud convenience, supporting flexible system configuration tailored to on-site needs.
Predict wear timing in advance and replace tools to fundamentally prevent defects
93% reduction in root cause identification time through real-time equipment log analysis
Detect failure signs in advance to prevent unexpected line shutdowns
Shorten production cycles with optimal setting recommendations without trial and error
Hands-free manual search during work, 10x improvement in field response speed
Reduce manufacturing costs through power usage pattern analysis and automatic control
Analyze communication protocols and data generation cycles of on-site equipment
Prepare Edge devices optimized for the on-site environment
Build real-time data collection channels based on standard protocols
Fine-tune manufacturing-specialized AI models using collected field data
Integration testing with existing on-site systems / data synchronization setup
User training, real-time operation and final operational inspection
