RMAI, a pioneer in validating AI/ML models used for safety applications, joins the Lab’s ecosystem of independent certification bodies and welcomes the result of NVIDIA Halos AI Systems Inspection Lab inspections.

The NVIDIA Halos AI Systems Inspection Lab serves as a critical platform for validating and inspecting AI systems, ensuring they meet stringent safety and performance requirements as integrated with NVIDIA Halos elements. By joining this initiative, SafetyCert.AI brings expertise in functional safety assessment, performance testing design, and certification support, while also delivering a novel AI validation and robustness scoring for safety-critical applications in alignment with the upcoming ISO/IEC 22440 standard series.

“Our mission is to bring the latest innovations to market safely,” said Erik Reynolds, Founder of SafetyCert.AI. “Joining NVIDIA Halos AI Systems Inspection Lab ecosystem allows us to apply our functional safety expertise to the rapidly evolving field of robotics and AI, ensuring these technologies are developed responsibly and safely without delaying time to market in product development.”

Through SafetyCert.AI, companies can assess and determine the robustness of their AI/ML models from a functional safety perspective. This new approach allows innovations to reach the market safely, even as industry standards continue to evolve, underscoring the importance of interdisciplinary efforts in addressing the complex challenges posed by AI/ML applications in robotics.

For more information about NVIDIA Halos AI Systems Inspection Lab, visit https://www.nvidia.com/en-us/solutions/autonomous-vehicles/safety/