November 26, 2024
NANO Nuclear Energy and Everstar Announce Successful Pilot to Advance AI-Driven Regulatory and Licensing Solutions for the Nuclear Energy Industry

NANO Nuclear Energy Inc. (NASDAQ: NNE) (“NANO Nuclear or “the Company”), a leading vertically integrated advanced nuclear energy and technology company developing portable clean nuclear energy solutions, and Everstar, a leader in artificial intelligence (AI)-powered compliance solutions, today announced the successful three-month pilot project aimed at addressing regulatory challenges in the nuclear sector focused on implementing Everstar’s AI solutions across a broader range of NANO Nuclear’s regulatory and licensing workflows.

The NANO Nuclear-Everstar collaboration, which was announced in July 2024, has already produced an advanced AI-driven compliance solution, designed to simplify and streamline NANO’s regulatory processes, marking an important step forward in both companies’ commitment to efficiency and safety in nuclear power.

“The successful completion of this pilot program marks just the beginning of our commitment to a technology-driven approach to the key corporate objective of efficiently navigating the complex nuclear regulatory and licensing process,” said Jay Yu, Founder and Chairman of NANO Nuclear Energy. “As we accelerate down this path, the integration of Everstar’s AI solutions will be beneficial in optimizing our resource allocation, enhancing the safety of our products, and allowing our team to focus more intensively on critical engineering and manufacturing challenges we will face along the way. The Everstar technology enables us to work smarter and faster while maintaining our unwavering commitment to safety and quality.”

“Our collaboration with NANO Nuclear has been a tremendous step forward for Everstar,” said Kevin Kong, CEO of Everstar. “Their team’s nuclear regulatory expertise and enthusiastic adoption of our innovative tools have been crucial in bringing clarity and efficiency to their compliance processes. We’re excited about our continued work with NANO Nuclear to transform industry challenges into solutions that enhance safety, efficiency, and speed—bringing us closer to our shared mission of dramatically improving nuclear deployment timelines and costs.”

Figure 1 – NANO Nuclear Energy Inc. Expands Collaboration with Everstar to Implement its AI Solutions in Regulatory and Licensing Workflows.

The successful pilot represents the beginning of a broader strategic relationship between the two companies. Building on this foundational project, NANO Nuclear and Everstar will now aim to develop additional AI-powered solutions to address other critical challenges in the nuclear industry. Future initiatives could include inspection and quality assurance modules, streamlined sourcing, logistics, and transportation processes, and ultimately, improved reactor design and safety qualification processes. These expanded efforts aim to accelerate the deployment of nuclear power by simplifying and optimizing the full lifecycle of reactor development, regulatory licensing and operations.

“Everstar’s AI platform has provided a demonstrated improvement in the aggregation of regulatory information that can be used to support the development of licensing documentation for submittal to the Nuclear Regulatory Commission.” David Tiktinsky, Head of Nuclear Regulatory Licensing at NANO Nuclear Energy, who joined NANO Nuclear after working for decades at the Nuclear Regulatory Commission. “As we advance multiple development programs, we anticipate time and resource savings through this collaboration.

“Everstar’s team has demonstrated exceptional speed in iterating their product based on our feedback,” said James Walker, Chief Executive Officer and Head of Reactor Development of NANO Nuclear Energy. “Their focus on understanding our specific requirements and tailoring their approach to meet those needs have been very useful data in supporting our efforts to streamline the nuclear regulatory processes. We look forward to continuing our work with them.”

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