AITernet provides comprehensive assistance for network management, specifically focusing on automation and optimization. It helps users monitor network performance, identify issues quickly, and implement solutions, enhancing the overall efficiency and reliability of connectivity across devices. The AI analyzes traffic patterns and suggests optimal configurations to improve performance, ensuring minimal downtime and resource wastage.

Industrial AI Agents is a Python-based toolkit designed to streamline industrial operations by deploying autonomous AI agents specialized in manufacturing tasks. It features a Data Ingest Agent for collecting sensor streams via MQTT and OPC-UA, a Diagnostics Agent for anomaly and fault detection, a Quality Agent for visual inspection using computer vision, and a Scheduling Agent for dynamic production planning. The framework supports containerized deployment with Docker and Kubernetes, enabling integration with existing IoT platforms and scalable real-time analytics.