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.

ATCCloud is an AI-driven platform designed for proactive business process management. It delivers insights and analytics to identify and address deviations and inefficiencies in workflows. By leveraging advanced algorithms, ATCCloud predicts potential failures, enables real-time corrections, and ensures smooth business operations. The system is tailored to help businesses optimize performance, reduce downtime, and enhance overall productivity through continuous monitoring and automatic adjustments.

Falkonry is an AI agent specializing in predictive analytics tailored for industrial applications. It processes vast amounts of time-series data, enabling users to identify patterns, predict failures, and optimize operations. The platform automates the analysis of industrial data, offering insights that support proactive decision-making. By integrating with existing systems, Falkonry helps manufacturers and operators enhance productivity, reduce downtime, and increase efficiency.