Reply ranks among the first NVIDIA partners worldwide to earn theNVIDIA Physical AI Specialization. The honor comes through the NVIDIA Partner Network (NPN). The award recognizes Reply’s expertise in AI-driven robotics and digital twin solutions for real-world environments. Reply earned the specialization following a technical assessment. The review covered a customer implementation, solution architecture, certified OpenUSD expertise, and Reply’s development roadmap.
Why NVIDIA Physical AI Matters for Manufacturing, Warehousing and Logistics
NVIDIA Physical AI is gaining relevance across manufacturing, warehousing, and logistics. Companies are moving beyond isolated automation projects. Meanwhile, robotic systems now handle more complex tasks. These systems must interact reliably with changing environments, existing software, and operational workflows. Reply tackles this challenge by combining robotics, digital twins, spatial computing, and AI. As a result, the company connects virtual simulation with real-world operations.
Roboverse Reply’s work with Otto Group and NVIDIA offers a current example. The team built an AI-driven virtual control system for robotic orchestration. At the Hermes Fulfilment logistics centre in Loehne, Germany, Roboverse Reply created a high-fidelity digital representation. This model forms the foundation for Otto Group’s “Robotic Coordination Layer”. The solution links autonomous mobile robots from different manufacturers with fleet-management systems. It also connects them to the central warehouse management system.
Using NVIDIA Omniverse and NVIDIA Physical AI Isaac, teams can simulate and validate new warehouse layouts, robotic systems, and AI-driven workflows before deployment. Consequently, companies integrate new robotic fleets faster. Furthermore, the approach reduces the risks of testing in live operations. It also provides a blueprint for extending intelligent robotic orchestration to additional Otto Group locations.
“Physical AI requires more than an individual model or technology. It brings together simulation, robotics, sensor data and software engineering within an architecture designed for real operating environments,” said Filippo Rizzante, CTO at Reply. “This specialization recognizes our ability to integrate these elements and strengthens our collaboration with NVIDIA as we support clients in moving Physical AI from experimentation to operational deployment.”
Reply’s Role as an NVIDIA Service Delivery Partner
Reply serves as an official Service Delivery Partner within the NVIDIA Partner Network. The company combines NVIDIA technologies with Roboverse Reply’s expertise in robotics, reality capture, digital twins, and sensor integration. Together, these capabilities support enterprise clients across the full lifecycle of NVIDIA Physical AI projects. That lifecycle spans simulation and AI training, system integration, production rollout, and scaling.
By connecting virtual development with physical operations, this approach helps companies introduce robotics more systematically. In addition, it reduces implementation risks. Finally, it lets businesses extend successful solutions across sites and complex industrial environments.
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News Source: Businesswire.com
