Espoo, Finland, March 16, 2026 - Today at NVIDIA GTC 2026, Qt Group (Nasdaq Helsinki: QTCOM) has announced it has become one of the newest members of NVIDIA Halos AI Systems Inspection Lab. NVIDIA is the first company in the world to establish an ANSI National Accreditation Board (ANAB)-accredited AI Systems Inspection Lab, integrating functional safety, cybersecurity, AI, and regulations into a unified safety framework.

Joining the NVIDIA Halos AI Systems Inspection Lab underscores Qt Group’s commitment for Axivion to become the preferred tool within Halos for checking whether GPU software meets safety standards. Axivion is currently the only tool that handles CUDA C++ extensions specifically.

NVIDIA Halos is a full-stack comprehensive safety system for physical AI that unifies safety elements from vehicle and robotic architecture to AI models. It comprises HW and SW elements, tools, models, and design principles for combining them to safeguard AI-based, end-to-end AV and robotic stacks. It gives manufacturers and regulators of Physical AI systems a structured way to verify that a product is trusted to deploy at scale, with the Halos AI Systems Inspection Lab reviewing system-level documentation as the basis for sign-off. Until now, producing that documentation for complex GPU-accelerated software has been extremely time-consuming to do manually, making certification a challenge.

Axivion for CUDA automatically produces the documentation needed for safety reviews and continuously checks GPU and CPU software against NVIDIA guidelines and industry safety standards from the start of development, not just at the end. This means issues like dead code, unsafe dependencies, or compliance gaps are caught early, when they are cheaper to fix, rather than at final certification.

For developers in safety-critical industries, it removes the need to manually validate GPU code against safety rules. This is the same problem Axivion has long solved for standard C/C++ across automotive, medical, and industrial sectors, and extended to CUDA code following the Axivion 7.11 launch last November.

The result for companies building fleets of robots or autonomous machines is fewer late‑stage redesigns, lower recall risk, and a more predictable path to market.

“The biggest challenge for development teams building Physical AI systems today is having to prove they are safe, especially when critical software is running on GPUs,” said Juhapekka Niemi, Senior Vice President at Qt Group. “By joining the NVIDIA Halos ecosystem, we are committing to help manufacturers treat safety as something built in from day one, not something proved at the last minute. That shift will determine which Physical AI products people actually trust.”

About Qt Group

Qt Group (Nasdaq Helsinki: QTCOM) is a global software company, trusted by industry leaders and over 1.5 million developers worldwide to create applications and smart devices that users love. We help our customers increase productivity through the entire product development journey: from UI design to software development, optimizing embedded systems, and quality management. Our customers are in more than 70 different industries in over 180 countries. Qt Group employs some 1100 people, and its net sales in 2025 were 216.3 MEUR. To learn more, visit www.qt.io.

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