Siemens announced it will participate in the 2026 World Artificial Intelligence Conference (WAIC 2026) on July 18, showcasing its full spectrum of industrial AI capabilities from cutting-edge innovation to real-world deployment. Key highlights include the China market debut of the Eigen Engineering Agent and the first China showcase of Intelligence Center X, its industrial AI orchestration software. The company aims to accelerate the integration of AI agents into real business processes, addressing core industrial challenges in efficiency, quality, and energy consumption.<\/p>\n
Dr. Xiao Song, Executive Vice President of Siemens AG and Chairman, President and CEO of Siemens China, stated: “The breadth of China’s industrial categories, the depth of its manufacturing system, the speed of industrial innovation, and its openness to new technologies are unique advantages for developing industrial AI in China. However, the key to truly transforming these advantages into productivity and solving the structural challenges of industrial AI deployment lies in ‘scenario-driven’ approaches. Siemens is committed to deeply integrating its industry expertise, data accumulation, and technological innovation, allowing AI to take root in real scenarios\u2014from achieving tangible results through single-point breakthroughs to realizing productivity leaps through scaled deployment.” He also called for breaking down barriers, promoting scenario openness and data circulation, and jointly creating the dividends of the industrial AI era.<\/p>\n
Eigen Engineering Agent Debut: From Assistance to Autonomous Execution<\/p>\n
At the conference, Siemens will launch its Eigen Engineering Agent\u2014the world’s first AI agent for industrial automation engineering\u2014in the China market. Unlike most current AI tools that only generate suggestions, the Eigen Engineering Agent can independently complete engineering tasks, achieving end-to-end planning, execution, and verification of industrial automation engineering projects. It can understand project requirements, write control software, complete system configurations, and continuously iterate and optimize until all indicators meet preset quality standards.<\/p>\n
With core capabilities including intelligent PLC code generation, HMI visualization development, drive configuration optimization, and project configuration support, the agent demonstrates significant advantages across multiple routine engineering tasks. Specific data shows execution efficiency 2 to 5 times higher than manual workflows, engineering efficiency improved by 50%, and solution quality enhanced by 80%. This breakthrough marks a fundamental shift in industrial AI from an assistive role to autonomous execution, allowing automation engineers to focus on system-level solution decisions.<\/p>\n
To visually demonstrate the technology’s application potential, a battery module intelligent disassembly prototype jointly developed by Siemens and Beichen Recycling will also be on display. Based on Siemens’ TIA (Totally Integrated Automation) solution, the prototype incorporates NX MCD mechanical simulation software during development and leverages the Eigen Engineering Agent to enhance automation engineering implementation efficiency. Addressing challenges from the growing volume of retired power batteries\u2014including complex module types and high flexibility requirements\u2014the prototype combines AI models with human-machine interfaces to enable intelligent identification, manual verification, and automatic disassembly of different battery modules, effectively reducing safety risks in manual disassembly processes.<\/p>\n
Intelligence Center X Debut: Accelerating Scaled AI Deployment<\/p>\n
Siemens’ new industrial AI orchestration software, Intelligence Center X, will make its China debut. The software integrates enterprise data, models, and workflows on a unified, standardized foundation, helping enterprises efficiently deploy AI applications and AI agents, advancing industrial AI from fragmented pilots to manageable, scalable production-grade applications. By connecting enterprise data and full lifecycle information, Intelligence Center X supports collaborative work between humans and AI agents within the same business scenarios, helping enterprises accelerate problem-solving and improve decision quality. The software supports multiple flexible deployment modes and has already been adopted by early enterprise partners across various industries globally, helping customers reduce repetitive manual workloads by 95% and improve production issue resolution efficiency by 85%.<\/p>\n
Deepening Multi-Industry Scenarios: Delivering Real Business Value<\/p>\n
Scaled deployment of industrial AI is not simply about replication; it requires deep understanding of each industry’s process mechanisms and workflow constraints. At WAIC, Siemens will showcase how industrial AI solves real-world problems through multiple “industry islands” covering life sciences, consumer goods, automotive manufacturing, and infrastructure.<\/p>\n
In life sciences, addressing the pain points of long R&D cycles and high costs for new drugs, Siemens presents a “digital lab” solution spanning early drug discovery and formulation process design. In the early drug discovery phase, the solution leverages Dotmatics’ data analysis and modeling capabilities for genetic and molecular-level analysis; in the formulation process design phase, it uses the gPROMS platform to accelerate simulation testing and iteration. This integrated approach is expected to shorten the overall experimental cycle by approximately 30% and reduce early-stage R&D investment by about 20%.<\/p>\n
In the consumer goods sector, Siemens showcases its self-developed industrial AI controller, Flamingo. By integrating historical data, human expertise, and multi-objective, non-linear, multi-source process modeling capabilities, Flamingo can build AI models to conduct in-depth analysis of key production line influencing factors, continuously optimize process parameters, and rapidly respond to external changes such as raw material fluctuations. Flamingo is already deployed at multiple food enterprises. Additionally, the gPROMS process digital twin solution can increase per-unit-time output and reduce production line energy consumption by calculating and autonomously adjusting production lines to optimal operating parameters in real time.<\/p>\n
In the automotive industry, Siemens brings a digital solution covering the entire vehicle production chain. During the R&D and design phase, the solution integrates Tecnomatix digital twin, SICAR standardized control, and SIMOVE flexible manufacturing technologies to support pre-simulation and virtual commissioning of production line logic and processes. During the manufacturing phase, the Inspekto AI visual inspection suite optimizes defect detection efficiency for automotive components, improving product yield. Meanwhile, data-driven predictive maintenance and quality traceability capabilities help enterprises further reduce unplanned downtime risks.<\/p>\n
In infrastructure, Siemens presents multiple cases demonstrating industrial AI’s effectiveness in energy conservation and emission reduction:<\/p>\n
Building energy-saving retrofits: At the Crowne Plaza Shanghai Anting, Siemens connected its AI BOX intelligent cooling solution to the hotel’s existing chiller plant control system. By automatically optimizing the operating strategies of high-energy-consumption equipment, it achieved “3-day rapid deployment, zero operational disruption, and an additional 7% energy savings.”
\nIndustrial park energy management: Siemens is helping Sichuan Chuanrun Co. Ltd. build a zero-carbon factory. After introducing the AI-driven Smart ECX intelligent energy and carbon management platform, Chuanrun’s Chengdu factory achieved integrated management of photovoltaic power generation, energy storage, and other systems through a full-chain “source-grid-load-storage” energy system, reducing park energy costs by 30% and achieving over 90% comprehensive energy efficiency. Since system operation began, carbon emissions have been reduced by 64,000 tons.
\nAI computing center power optimization: At the Zhongjin Data Ulanqab Zero-Carbon Computing Base, Siemens provided core power distribution solutions including NXAirS medium-voltage switchgear and SIVACON S8 low-voltage switchgear, delivering a stable power foundation for AI computing infrastructure.<\/p>\n
Ecosystem Co-Building: Accelerating Deployment via the Xcelerator Platform<\/p>\n
As industrial AI moves from technology validation to scaled application, Siemens is leveraging its open digital business platform, Siemens Xcelerator, to continuously connect foundational large models, industrial data, and vertical industry partners. Currently, Siemens Xcelerator has over 600,000 registered users in China, more than 500 ecosystem partners, and aggregates over 800 products and solutions, supporting users in exploring, evaluating, and applying industrial AI solutions.<\/p>\n
As a key event during WAIC 2026, Siemens will host the “Industrial AI Into Reality\u2014Eigen Engineering Agent Launch” on the morning of July 18 at the Red Hall of the Shanghai World Expo Center. Siemens will officially launch the Eigen Engineering Agent and join industry partners to explore the application prospects of AI agents in automation engineering.<\/p>\n","protected":false},"excerpt":{"rendered":"Siemens announced it will participate in the 2026 World Artificial Intelligence Conference (WAIC 2026) on July 18, showcasing…\n","protected":false},"author":2,"featured_media":56660,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21002],"tags":[44822,27955,4323,28233,44823,6487,38426,44820,44821,44824],"class_list":["post-56659","post","type-post","status-publish","format-standard","has-post-thumbnail","category-siemens","tag-beichen-recycling","tag-eigen-engineering-agent","tag-flamingo","tag-intelligence-center-x","tag-sichuan-chuanrun-co-ltd","tag-siemens","tag-siemens-xcelerator","tag-waic-2026","tag-xiao-song","tag-zhongjin-data"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/posts\/56659","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/comments?post=56659"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/posts\/56659\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/media\/56660"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/media?parent=56659"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/categories?post=56659"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/tags?post=56659"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}