Reply Earns NVIDIA Physical AI Specialization for Robotics and Digital Twins

Author : John Brown | Published On : 20 Oct 2026

Reply has earned the NVIDIA Physical AI Specialization, becoming one of the first NVIDIA partners worldwide to receive this recognition. The distinction highlights the company's expertise in developing AI-powered robotics and digital twin solutions for real-world industrial environments. Through its physical AI solutions for robotics and digital twins, Reply aims to help businesses move beyond experimental automation and deploy intelligent systems across manufacturing, warehousing, and logistics operations.

NVIDIA Recognizes Reply's Physical AI Expertise

Reply received the specialization through the NVIDIA Partner Network (NPN). The recognition followed a technical assessment that evaluated a customer implementation, solution architecture, certified OpenUSD expertise, and the company's development roadmap.

The assessment highlights Reply's ability to combine multiple technologies into integrated solutions for industrial environments. Physical AI connects artificial intelligence with machines and systems that interact with the physical world. These applications rely on robotics, simulation, sensor data, and software engineering to perform tasks in changing operational conditions.

Unlike traditional automation, Physical AI solutions can use simulated environments and AI-driven systems to support more complex operations. Businesses can evaluate robotic behavior, coordinate different machines, and test workflows before introducing them into live facilities.

Reply's specialization strengthens its position within the NVIDIA ecosystem as enterprises explore practical applications for intelligent robotics and digital twins.

Physical AI Supports Manufacturing, Warehousing, and Logistics

Manufacturers, warehouse operators, and logistics providers increasingly need automation systems that can adapt to complex environments. Many facilities operate robots from different vendors, use multiple management platforms, and rely on established warehouse systems.

Connecting these technologies can create integration challenges. Companies must ensure that robots communicate effectively, coordinate tasks, and operate within existing workflows.

Reply addresses these challenges by combining robotics, digital twins, spatial computing, and AI. This approach connects virtual simulations with physical operations, allowing businesses to evaluate systems and workflows before deploying them at scale.

Digital twins create virtual representations of physical environments, equipment, or operational processes. Companies can use these models to test layouts, simulate machine behavior, and identify potential issues before making changes to their facilities.

By integrating digital twins with AI-driven robotics, businesses can plan automation projects more systematically and reduce the risks associated with testing new systems in active industrial environments.

Otto Group Project Demonstrates Robotic Coordination

Reply's work with Otto Group and NVIDIA provides a practical example of Physical AI in logistics. Through its Roboverse Reply business, the company developed an AI-driven virtual control system for robotic orchestration at the Hermes Fulfilment logistics center in Löhne, Germany.

The project uses a high-fidelity digital representation of the facility as the foundation for Otto Group's Robotic Coordination Layer. The system connects autonomous mobile robots from different manufacturers with their respective fleet-management systems and the central warehouse management system.

This architecture helps coordinate robotic operations across a shared logistics environment. Instead of managing each robotic fleet as an isolated system, the approach supports greater integration between machines and the software that controls warehouse activities.

Reply uses NVIDIA Omniverse and NVIDIA Isaac technologies to simulate and validate warehouse layouts, robotic systems, and AI-driven workflows before deployment. Teams can assess proposed changes in a virtual environment before introducing them into live operations.

This process can help businesses integrate new robotic fleets more efficiently, reduce implementation risks, and develop a repeatable approach for expanding robotic orchestration to additional facilities.

The project also demonstrates how digital twins can support operational planning beyond visualization. When businesses connect virtual models with robotic systems and warehouse software, they can use simulation to prepare complex automation environments for real-world deployment.

Reply Combines NVIDIA Technologies With Industrial Expertise

Reply operates as an official Service Delivery Partner within the NVIDIA Partner Network. The company combines NVIDIA technologies with Roboverse Reply's capabilities in robotics, reality capture, digital twins, and sensor integration.

These capabilities support enterprise customers throughout the Physical AI project lifecycle. The process includes simulation, AI training, system integration, production deployment, and scaling across operational environments.

Each stage requires coordination between software, hardware, data, and business processes. Simulation helps teams evaluate proposed systems, while AI training supports the development of intelligent behavior. System integration connects these capabilities with existing infrastructure, and production deployment brings the solutions into operational use.

Reply's approach aims to help businesses move from individual automation projects toward coordinated robotic environments. Organizations can also use successful implementations as a foundation for extending similar capabilities to other facilities.

By combining technical development with industrial implementation experience, Reply seeks to help enterprises address the practical challenges of deploying Physical AI at scale.

Filippo Rizzante Highlights the Need for Integrated Architectures

Filippo Rizzante, CTO at Reply, emphasized that Physical AI requires more than an individual AI model or technology. He explained that companies must bring together simulation, robotics, sensor data, and software engineering within an architecture designed for real operating environments.

Rizzante added that the specialization recognizes Reply's ability to integrate these elements and strengthens its collaboration with NVIDIA. The partnership will support customers as they move Physical AI applications from experimentation toward operational deployment.

This integrated approach is important because industrial robotics depends on more than the intelligence of individual machines. Systems must also interpret sensor information, coordinate actions, interact with enterprise software, and respond to changing conditions.

Businesses therefore need architectures that connect AI development with operational requirements. Simulation and digital twins can help teams evaluate these systems before deployment, while integration expertise helps ensure that different technologies work together.

Physical AI Creates New Opportunities for Enterprise Automation

The NVIDIA Physical AI Specialization positions Reply to support businesses exploring advanced robotics and digital twin applications. As industrial organizations pursue more complex automation, they need solutions that connect virtual testing, intelligent machines, and established operational systems.

Reply's capabilities span simulation, robotics, sensor integration, and production implementation. Its work with Otto Group illustrates how these technologies can support coordination between autonomous robots and warehouse management infrastructure.

The broader opportunity extends across manufacturing, warehousing, and logistics, where organizations need to improve operational coordination while controlling implementation risks.

However, successful adoption depends on integrating new technologies with existing processes, validating system performance, and ensuring that solutions meet each facility's operational requirements.

Through its collaboration with NVIDIA, Reply aims to help enterprises develop and deploy Physical AI solutions that connect digital development with real-world industrial operations.

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