The architecture uses NeMoClaw, Jetson Thor and IGX Thor for inspection, logistics, energy management and operator support.
Advantech has announced an expanded collaboration with NVIDIA to introduce an AI-based factory architecture for agentic AI and physical AI applications. Built with NVIDIA NemoClaw, NVIDIA Factory Operations Blueprint, NVIDIA RTX PRO, NVIDIA Jetson Thor and Advantech’s WISE-Edge Developer Architecture (WEDA), the system is designed to help manufacturers integrate AI into real-time factory operations to support production flexibility, labor management and energy efficiency.
Powering the AI Factory Brain with NVIDIA Factory Operations Blueprint
Advantech has introduced the AI Factory Brain, a multi-agent system led by a factory manager agent built with the NVIDIA Factory Operations Blueprint (FOX). The system serves as a central intelligence layer that monitors anomalies, identifies potential root causes and coordinates agents and operators to address issues. The system is built on NVIDIA accelerated computing platforms along with MIC and ICAM edge devices powered by NVIDIA IGX Thor, NVIDIA Jetson Thor and NVIDIA Jetson Orin. By using real-time data from corporate systems (SAP, MES and WMS) and edge sensors, the factory manager agent supports AI agents across the factory floor, using NVIDIA NemoClaw, NVIDIA Omniverse, NVIDIA Metropolis and NVIDIA Isaac Sim to automate workflows, optimize energy use and improve OEE, yield and MTTR.
Physical AI bridges dual pathways for flexible automated logistics and warehousing
Advantech’s AIR-427A platforms, powered by NVIDIA IGX Thor, together with the AFE-A702 platforms, powered by NVIDIA Jetson Thor, provide AI computing for forklifts, humanoid robots, AMRs and MMRs. These platforms support autonomous navigation, robotic manipulation, material handling and shop floor coordination, while AI agents interpret workflow context, adjust production priorities and assist operators in real time.
Edge agentic AI supports real-time inference for defect detection and process optimization
Advantech’s ICAM-540 camera and MIC-743-AT platforms, powered by NVIDIA Jetson Orin NX and NVIDIA Jetson Thor respectively, support AI-driven AOI inspection and on-premises LLM/VLM chatbot deployment to improve defect detection, increase production efficiency and support factory operations through natural language interaction.
Enterprise-grade governance and functional safety for system operations
Through NVIDIA NemoClaw, including the NVIDIA OpenShell secure runtime and policy frameworks, the architecture provides security, access control and operational governance. The MIC-735-IT and AIR-427A platform, powered by NVIDIA IGX Thor, also supports FuSa-ready AI computing for humanoid robotics and autonomous industrial systems to help maintain operational reliability and worker safety.
Validated in production: Advantech’s factory AI agent pilot
Advantech has tested the architecture through two AI agent pilots powered by NVIDIA NemoClaw in its own manufacturing operations. The iEnergy Agent applies energy management by comparing production schedules with real-time Vision AI feeds and SCADA systems to control HVAC and lighting, with a projected 10% reduction in total factory energy consumption upon full deployment.
The Production Line Efficiency Agent uses Vision AI to capture real-time assembly line data. It analyzes productivity metrics, detects anomalies and bottlenecks and generates improvement recommendations and shift reports. Since deployment approximately six months ago, it has delivered a 12% improvement in assembly line productivity.
Building on its long-term collaboration with NVIDIA, Advantech will continue expanding its edge AI and accelerated computing portfolio to support AI adoption across smart manufacturing, AOI inspection, industrial robotics, warehouse automation, autonomous logistics and digital twin applications.
For more information, visit advantech.com.
