Argus
Predict failures before they happen. AI-powered edge sensors combined with advanced analytics give your maintenance team the foresight to eliminate unplanned downtime.
Of industrial failures are predictable
Battery life (configurable)
Range in industrial environments
Vibration sampling rate
How It Works
Wireless edge-AI sensors communicate over LoRaWAN® to deliver machine health insights to your team - no wires, no drilling, no disruption.
Platform Capabilities
Everything you need to transition from reactive to predictive maintenance.
AI Edge Inference
On-device anomaly detection using quantized neural networks. No cloud dependency for real-time decisions.
Vibration Analytics
24 spectral and statistical features extracted per measurement window. FFT, kurtosis, crest factor, band energy analysis.
Regime-Aware Models
Automatically discovers operating regimes via GMM clustering. Per-regime thresholds eliminate false alarms during transitions.
LoRaWAN Uplink
Ultra-low-power long-range connectivity. OTAA join, adaptive data rate, downlink configuration - all over-the-air.
Cloud Dashboard
Real-time health scores, historical trend analysis, fleet overview, configurable alert thresholds and notification rules.
OTA & Fleet Management
Remote firmware updates, configuration push, health monitoring of the sensor fleet itself. Scale from 1 to 10,000 nodes.
Ready to Predict,
Not React?
Get in touch to schedule a demo or discuss how Argus fits your operation.