Real-time AI inference on IoT sensor data for predictive maintenance, anomaly detection, quality monitoring, and process intelligence. Deployed where milliseconds and reliability matter — manufacturing lines, medical equipment, utility infrastructure, mining operations, and logistics fleets.
Traditional monitoring tells you what's happening. Intelligent monitoring tells you what's about to happen — and acts on it before it becomes a problem. Our AIoT systems combine edge computing, machine learning, and IoT telemetry to close the gap between detection and action.
AI models trained on equipment telemetry detect early failure signatures before breakdowns occur. Schedule maintenance exactly when needed — not too early (wasting budget) and never too late (costing downtime).
Real-time pattern recognition across sensor streams flags deviations that humans would miss. Proven in utility theft detection, equipment fault prediction, and fraud prevention. Deployed today in water and electricity networks.
Computer vision and sensor fusion for production line quality control. Detect defects, measure tolerances, and flag process drift in real-time — reducing waste and ensuring consistent output.
AI that understands your entire operational workflow — not just individual machines. Correlate data across sensors, systems, and shifts to identify optimisation opportunities that humans alone would never spot.
Inference runs on edge devices — not in the cloud. Models execute on local hardware (Raspberry Pi, NVIDIA Jetson, custom gateways) so decisions happen in milliseconds, even when connectivity drops.
Fleet tracking, asset monitoring, sensor networks, and edge hardware — all part of our IoT & Embedded Systems service. We build the infrastructure, then add the intelligence layer.
Predictive maintenance on production machinery, quality control via computer vision, production line throughput optimisation, energy consumption analytics.
Medical equipment predictive maintenance, patient monitoring analytics, sterilisation cycle tracking, pharmaceutical cold chain monitoring with AI anomaly alerts.
Water and electricity theft detection (proven — anomaly detection in production), consumption analysis, grid load forecasting, infrastructure health monitoring.
Environmental monitoring (proven — mining pollution system with CUT), equipment health prediction, safety compliance tracking, slurry and tailings monitoring.
Real-time asset tracking (proven — InoTrack), predictive route optimisation, driver behaviour analysis, cargo condition monitoring with AI alerts.
Smart water metering, pump station monitoring, wastewater treatment analytics, traffic flow optimisation, street light energy management with AI-driven scheduling.
These aren't concepts — they're products running today that prove the Intelligent Monitoring capability.
AI-powered big data analysis detecting water and electricity theft, meter tampering, and irregular consumption patterns. Extended to retail, transport, and logistics fraud.
View product →IoT-enabled environmental monitoring for the SA mining industry. Sensor hardware, Android field app, and mainframe analytics for real-time pollution tracking.
View product →Utility data analytics platform processing meter data to identify patterns, anomalies, and consumption trends for municipalities and utilities.
View product →IoT tracking platform for vehicles, assets, and personnel. GPS/GSM tracker hardware, mobile app, and web dashboard with real-time maps, geofencing, and SOS alerts.
View product →Mobile vehicle inspection system with AI-powered damage detection from photos, pre/post-trip inspections, and full fleet management. Android, iOS, web admin.
View product →Tell us about your monitoring challenge — we'll design an AIoT solution that runs at the edge, where your data lives.
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