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thyssenkrupp and GlobalLogic Partner to Accelerate Industrial Transformation with Physical AI

thyssenkrupp AG and GlobalLogic Inc., a Hitachi Group Company, announced a strategic alliance to accelerate the adoption of Physical Artificial Intelligence (Physical AI) and autonomous robotics across heavy industries. The collaboration combines thyssenkrupp’s deep industrial expertise with Hitachi’s comprehensive digital innovation ecosystem to drive the next phase of industrial transformation. Together, the partners aim to improve operational efficiency, enhance workplace safety, and support global decarbonisation through AI-powered industrial solutions.

‘Lab-to-Scale’ Model to Fast-Track AI Deployment

At the heart of the partnership is a unique “Lab-to-Scale” innovation model that integrates advanced research from Hitachi America R&D, digital strategy and experience design from Method, and enterprise-grade software engineering from GlobalLogic. This end-to-end innovation pipeline seamlessly connects operational data from industrial sites with AI-driven autonomous control systems. As a result, it enables faster deployment of intelligent automation, eliminates engineering bottlenecks, and improves decision-making across complex industrial operations. The alliance also establishes a scalable framework for deploying next-generation digital technologies across the heavy engineering sector.

Physical AI to Transform Industrial Operations

Moving beyond pilot projects and digital experimentation, the two companies plan to jointly develop a portfolio of Physical AI solutions that convert complex industrial data into measurable business outcomes. The solutions will focus on three strategic priorities enhancing operational safety, enabling servitization through intelligent digital services and accelerating the global energy transition. By enabling machines to analyse, learn, and act autonomously, Physical AI is expected to redefine industrial productivity while reducing operational risks.

Unified Data Layer to Enable Autonomous Robotics

One of the key workstreams of the alliance focuses on building a robust Data Intelligence Layer for autonomous operations. GlobalLogic will deploy its Unified Data Layer (UDL) architecture to integrate operational technology (OT) data from factory floors with enterprise IT systems. This unified semantic data foundation will support real-time AI-driven decision-making and autonomous operations. The platform will also enable the deployment of autonomous Robocams and drones across thyssenkrupp’s manufacturing and hazardous industrial environments.

These intelligent systems will perform high-risk inspections and precision measurements, allowing workers to remain outside dangerous zones while receiving accurate, real-time operational insights. Consequently, the solution is expected to improve workplace safety, increase inspection efficiency, and minimise operational downtime.

AI Platform to Accelerate Decarbonisation Projects

The alliance will also focus on increasing engineering productivity to support global decarbonisation initiatives. To achieve this, the partners plan to deploy an AI-powered intelligence platform capable of automatically capturing and interpreting complex offline and unstructured engineering data. By converting technical documentation into actionable digital intelligence, thyssenkrupp aims to significantly shorten engineering workflows and reduce the Quote-to-Cash cycle for green energy projects. The digital acceleration is expected to remove administrative and engineering bottlenecks, enabling faster execution of large-scale decarbonisation projects.

Leadership Highlights Strategic Importance of the Partnership

Miguel López, CEO of thyssenkrupp AG and thyssenkrupp Decarbon Technologies, said the company is undergoing one of the most significant transformations in its history. He noted that the partnership with Hitachi and GlobalLogic provides access to world-class digital capabilities that will help thyssenkrupp lead the industrial sector towards a more sustainable and data-driven future. He added that integrating advanced AI technologies will simplify the technical and administrative complexity associated with the energy transition while accelerating project execution.

Srini Shankar, President and CEO of GlobalLogic and CEO of Hitachi Digital Services, said the future of industry will depend on organisations that successfully combine advanced AI, edge computing, intelligent data platforms, and deep industrial expertise. He added that GlobalLogic’s experience in Physical AI, industrial automation, operations intelligence, and servitization complements thyssenkrupp’s leadership in heavy engineering, creating a strong competitive advantage.

Physical AI to Drive Next-Generation Industrial Innovation

Nadja Håkansson, COO of thyssenkrupp Decarbon Technologies and CEO of thyssenkrupp Uhde, described Physical AI as the next major step in industrial transformation. She said the technology enables machines to sense, analyse, and act autonomously, unlocking unprecedented levels of efficiency, scalability, and operational safety. According to her, Physical AI is becoming a core pillar of thyssenkrupp’s long-term business strategy and will strengthen its ability to deliver sustainable, high-performance industrial solutions.

Timothy Morey, Head of Method, a GlobalLogic company, emphasised that successful industrial innovation requires combining human-centred design with advanced engineering. He noted that the partnership brings together multidisciplinary expertise to reduce implementation risks while ensuring technology continues to support the people working on the front lines of global industry.

Alliance Sets New Benchmark for AI-Driven Industrial Transformation

As per the press release, by combining industrial engineering expertise with advanced AI, robotics, and intelligent data platforms, thyssenkrupp and GlobalLogic are positioning themselves at the forefront of Industry 4.0. The strategic alliance is expected to accelerate digital transformation, improve industrial safety, streamline engineering processes, and support the global transition towards cleaner and more sustainable manufacturing.

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