NuScale Power Deploys Nuclear-Specific AI to Accelerate Advanced Reactor Development
NuScale Power Corporation (NYSE: SMR), a leading developer of advanced small modular reactor (SMR) technology, is deploying nuclear-specific artificial intelligence tools to improve engineering and knowledge-management processes as it works to advance the next generation of nuclear energy.
The initiative brings together NuScale’s expertise in advanced reactor technology, Nuclearn’s AtomAssist nuclear AI platform and NPX’s experience in nuclear projects and artificial intelligence implementation. Together, the organizations are developing purpose-built AI capabilities designed to help NuScale employees find, interpret and apply critical technical information more efficiently throughout the development and deployment of its SMR technology.
The effort comes as the nuclear industry increasingly looks to digital technologies to manage the complexity associated with designing, licensing and deploying new reactor systems. Advanced nuclear projects generate and depend on large volumes of engineering documentation, licensing records, technical standards, operating procedures and institutional knowledge. Ensuring that engineers and other project professionals can quickly locate reliable information is becoming increasingly important as developers move projects from design toward deployment.
For NuScale, the adoption of nuclear-specific AI is intended to address that challenge while maintaining the strict safety, quality and regulatory requirements associated with nuclear energy.
AI Designed for Nuclear Applications
NuScale said its initial proof of concept demonstrated the potential for nuclear-specific terminology and workflows to significantly improve information retrieval. According to the company, the technology reduced the time needed to locate relevant information by as much as 80% while helping identify engineering methods and standards most applicable to a particular task.
The results highlight a potential advantage of applying specialized AI to nuclear engineering rather than relying exclusively on general-purpose artificial intelligence tools.
Engineering teams routinely need to review extensive technical material before making decisions. Relevant information can be distributed across engineering documents, licensing evidence, technical standards and other controlled sources. Finding the correct material can consume substantial amounts of time, particularly when projects involve complex designs and stringent regulatory requirements.
Purpose-built AI systems can help organize and retrieve that information, allowing engineers to spend more time evaluating technical issues and making decisions rather than manually searching through large document collections.
NuScale’s initiative is also intended to preserve the connection between AI-generated information and the controlled source material on which it is based. This traceability is particularly important in nuclear applications, where technical decisions must be supported by reliable documentation and comply with rigorous regulatory and safety requirements.
Supporting NuScale Power Modules
The AI deployment supports NuScale’s broader strategy to advance commercialization and deployment of its proprietary NuScale Power Modules™ (NPMs). The company is developing a deployment model intended to integrate its modules into nuclear power plants as demand for reliable, low-carbon electricity continues to grow.
NuScale Chief Technology Officer Dr. José Reyes said the company’s approach requires its teams to operate with speed and precision while maintaining confidence in technical decisions.
“NuScale is building a transformative deployment model to integrate NuScale Power Modules™ (NPMs) into nuclear power plants in the near-term, which requires executing with speed, precision, and confidence,” Reyes said.
He added that the partnership with Nuclearn and NPX is designed to provide NuScale teams with purpose-built AI tools based on the company’s proprietary knowledge. The objective is to increase efficiency while preserving the safety and quality standards required for nuclear projects.
The ability to rapidly retrieve engineering and licensing information could become increasingly valuable as NuScale advances its reactor technology and prepares for future commercial deployments.
Maintaining Traceability and Regulatory Confidence
Nuclearn’s AtomAssist platform is a central component of the initiative. The platform is designed specifically for nuclear applications and provides AI-supported access to technical and operational information.
Jerrold Vincent, CFO and co-founder of Nuclearn, emphasized that AI adoption in nuclear energy requires a strong focus on the reliability and traceability of information.
“AI is only as valuable as the knowledge it can be trusted to deliver,” Vincent said.
He noted that nuclear projects operate in a highly regulated and safety-critical environment, making it essential that information provided through AI systems can be connected to controlled engineering and licensing sources.
According to Vincent, the platform is designed to account for operational context, regulatory considerations and safety requirements when supporting decisions. Combining nuclear-specific language models with NuScale’s engineering and licensing content is intended to provide employees with faster access to relevant knowledge while preserving traceability to original controlled sources.
This approach could help organizations capture some of the productivity benefits associated with AI without weakening existing quality-assurance and compliance processes.
For nuclear developers, that balance is particularly important. AI-generated information cannot replace engineering judgment, established review procedures or regulatory oversight. Instead, the technology is being positioned as a tool that can help professionals access and evaluate information more efficiently.
NPX Brings Nuclear Project Experience
NPX is contributing nuclear project experience and AI implementation expertise to the initiative. The company views the partnership as an example of how nuclear organizations can adopt emerging digital technologies while maintaining the discipline required by the industry.
Joshua Bell, Director of NPX US, said nuclear developers across North America and other global markets face a common challenge: increasing the pace of project development without compromising safety, quality or regulatory discipline.
“NuScale is taking a practical step the rest of the industry can learn from,” Bell said.
He explained that NPX’s role involves helping translate AI capabilities into practical tools that nuclear professionals can incorporate into their everyday activities.
The focus is therefore not simply on introducing artificial intelligence into a nuclear organization, but on developing applications around specific industry requirements and workflows. By combining technology with nuclear project experience, the partners aim to ensure that AI tools provide practical value to engineers and other technical teams.
A Broader Role for AI in Nuclear Energy
NuScale’s initiative reflects a wider movement within the nuclear industry toward digitalization. As advanced reactors progress toward commercialization, developers are increasingly examining how AI, automation, data analytics and other digital technologies can improve project execution.
The potential applications extend beyond document searches. Nuclear-specific AI could eventually support areas such as engineering knowledge management, technical reviews, licensing preparation, operational procedures and the organization of complex project information.
However, the nuclear sector presents unique requirements that distinguish it from many other industries. Systems used in nuclear environments must operate within established quality, security, safety and regulatory frameworks. The reliability of information and the ability to demonstrate its origin can be just as important as the speed at which information is retrieved.
NuScale’s collaboration with Nuclearn and NPX is therefore centered on controlled, traceable knowledge rather than unrestricted AI-generated responses.
The company said its initial results demonstrate how specialized AI can help reduce the administrative burden associated with information retrieval. By cutting search time by as much as 80% in its proof of concept, the technology could give technical teams more time to focus on engineering analysis and project execution.
As NuScale continues developing its SMR technology and pursuing deployment opportunities, efficient management of engineering and licensing knowledge is expected to remain an important part of the company’s strategy.
The partnership demonstrates how nuclear-specific artificial intelligence can complement human expertise rather than replace it. By combining advanced AI tools with established engineering knowledge, regulatory discipline and nuclear project experience, NuScale, Nuclearn and NPX are seeking to create a more efficient digital foundation for the development and deployment of advanced nuclear energy.
Source Link: https://www.businesswire.com/
