TÜV SÜD and Accenture Accelerate Certification of Physical AI in Automated Factories and Warehouses with NVIDIA Technologies to Drive Manufacturing Productivity
Business Wire•21/10/2026•07:29 ET
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Key Highlights
- ➤TÜV SÜD and Accenture introduce Physical AI Safety Suite concept
- ➤Digital certification process could bring production online up to 30% sooner
- ➤Suite uses NVIDIA Omniverse, Cosmos and Isaac Sim for safety simulations
- ➤NVIDIA Halos and IGX Thor identify hazards beyond individual robots’ views
- ➤Accenture recently established a physical AI Center of Excellence
Expert Statements
Patrick Vollmer, CEO and Chairman of the Board at TÜV SÜD AG
“Physical AI enables robotic systems to become increasingly adaptive while also paving the way for an independent, evidence-based digital certification process. Through our Physical AI Safety Suite, which leverages simulation-generated evidence, we can support compliance-readiness much earlier in the engineering lifecycle without compromising the rigor safety standards require. Assessing automation concepts before the first robot is deployed reduces uncertainty in live operations and helps drive higher levels of safety, efficiency and performance across production and logistics.”
Sarat Maitin, Supply Chain and Engineering Lead for Accenture in Central and Eastern Europe
“Too often, companies test automation concepts against industry standards after the equipment, layouts and workflows have already been established. The Physical AI Safety Suite brings these steps forward to when companies can still avoid safety incidents and costly rework. It also enables continuous monitoring of automated facilities. Both support faster deployment of physical AI-enabled automation needed to drive manufacturing productivity, particularly in Europe.”
TÜV SÜD and Accenture Accelerate Certification of Physical AI in Automated Factories and Warehouses with NVIDIA Technologies to Drive Manufacturing Productivity
Companies present concept of new “Physical AI Safety Suite” at NVIDIA GTC Berlin 2026*
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