Technology That Thinks Ahead
From custom silicon to machine learning models, our technology stack is engineered for the demands of industrial IoT — where milliseconds matter and reliability is non-negotiable.
Edge Computing
Process data where it's generated. Our edge gateways run lightweight machine learning models, perform real-time analytics, and make autonomous decisions — reducing latency from seconds to milliseconds and cutting cloud bandwidth costs by up to 70%.
Sub-10ms Latency
Real-time processing for time-critical applications
On-Device ML Inference
TensorFlow Lite and custom models running on ARM Cortex-M7
Local Data Storage
72-hour buffer for offline operation and burst handling
Sensor Hardware
Custom-designed sensor modules built for industrial environments. Each module combines precision measurement with ruggedised construction, ultra-low power consumption, and multi-protocol connectivity.
NX-Sensor Series Specifications
Machine Learning & AI
Intelligent algorithms that learn from your data to predict failures, optimise operations, and surface hidden patterns.
Predictive Maintenance
Analyse vibration, temperature, and acoustic patterns to predict equipment failures 7-30 days before they occur.
Anomaly Detection
Unsupervised learning models identify unusual patterns and outliers in real-time sensor streams.
Demand Forecasting
Time-series models predict energy consumption, production demand, and resource requirements.
Protocols & Standards
Open standards and broad protocol support ensure interoperability with your existing infrastructure.
Explore Our Technology Stack
Our solutions architects can walk you through the technical details and help you design an architecture tailored to your requirements.
Technical Consultation