Industrial sensors, physical security, private wireless, and AI inference at the edge. Vertical-specific deployments for manufacturing, logistics, agriculture, healthcare, and smart city environments.
Temperature, pressure, soil moisture, and environmental monitoring. Real-time data feeds integrated with analytics and alerting platforms.
IP cameras, access control, and video analytics. AI-powered computer vision for perimeter security and occupancy monitoring.
Private wireless networks for IoT deployments requiring reliable, low-latency connectivity independent of public carrier infrastructure.
Electric, gas, and solar monitoring with EV charger integration. Consumption data feeding ESG reporting and cost reduction analysis.
Connected infrastructure for municipalities and large campuses: traffic, parking, environmental, and utility monitoring.
Soil moisture, weather, and crop monitoring. Precision agriculture deployments with satellite and cellular backhaul.
Asset tracking, predictive maintenance, and supply chain visibility. Computer vision quality control and telematics for fleet management.
AI models deployed at the edge for real-time computer vision, anomaly detection, and predictive analytics without cloud round-trip latency.
Computer vision, telematics, and IoT data analysis run at the edge. AI inference happens where the data is generated, not in a cloud platform that adds latency.
See AI integration →Every IoT engagement runs on MCF, CEM, MSL, and Anti-Ghidra/OSIGate. Built in. Not bolted on.
About the framework →One hour. We map your current posture and show you exactly where the exposure is.