Monitor intelligence at the edge. Track real-world performance. Make data-driven decisions for your ML deployments.
Track inference performance, hardware utilization, and model health across your entire edge deployment. Get instant alerts when metrics drift from expected values.
Live dashboards with sub-second latency updates
Customizable thresholds and notification channels
Deep dive into performance trends over time
Automatically aggregate telemetry, inference results, and performance metrics from edge devices deployed in production environments worldwide.
Monitor devices across multiple continents and networks
Seamless data collection with minimal bandwidth overhead
End-to-end encryption for sensitive telemetry data
Identify performance gaps between controlled testing and production deployments. Understand how your models perform under real-world conditions.
Side-by-side comparison of controlled and field metrics
Detect and analyze degradation over time
Data-driven recommendations for optimization
Model performance shows expected degradation in real-world conditions. Consider environmental factors and edge constraints.
Get started with Wild Edge today and gain visibility into your production ML systems.
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