NuScale Power Corporation is taking a meaningful step toward modernizing nuclear engineering and project execution by deploying nuclear-specific artificial intelligence tools across its engineering and knowledge-management functions.
The initiative brings together NuScale Power’s advanced small modular reactor expertise, Nuclearn’s AtomAssist nuclear AI platform, and NPX’s nuclear project and AI implementation experience. Together, the three organizations aim to develop purpose-built solutions designed specifically for the highly regulated nuclear industry.
A Collaborative Push Toward Purpose-Built Nuclear AI
The development is notable because it demonstrates how artificial intelligence can become a practical operational tool within the next generation of nuclear energy โ not simply a technology experiment. As NuScale Power advances the commercialization and deployment of its NuScale Power Modules, the ability to locate, interpret, validate, and apply complex engineering information quickly could become an important contributor to project execution.
This Nuclear SMR AI initiative reflects a growing recognition that generic enterprise software tools are insufficient for the unique demands of nuclear engineering environments.
Engineering Efficiency for SMR Development
Advanced reactor projects generate enormous volumes of technical information. This includes engineering documentation, licensing evidence, technical standards, safety requirements, operating knowledge, and project records. As these projects progress from design toward deployment, engineering teams must be able to retrieve the right information quickly while maintaining confidence in its accuracy and provenance.
NuScale Power’s initial proof of concept reportedly demonstrated that nuclear-specific AI terminology and workflows could reduce information-retrieval time by as much as 80%. The system also helped surface relevant engineering methods and standards, highlighting the potential for AI to reduce time spent searching through complex technical knowledge bases.
For an organization developing and commercializing small modular reactor technology, this level of efficiency carries meaningful implications. Faster access to validated information can support engineering productivity, improve knowledge sharing across teams, and help engineers make informed decisions โ all without compromising the rigorous documentation and traceability that the nuclear sector demands.
Purpose-Built AI in the Nuclear Industry
Nuclear energy presents requirements that differ substantially from those of conventional enterprise software applications. Engineering decisions in this sector carry safety, licensing, quality-assurance, and regulatory implications that cannot be handled by general-purpose AI tools.
As a result, an AI system used in nuclear engineering must do more than generate plausible answers. It must operate within frameworks that reflect the specific terminology, workflows, and compliance standards of the nuclear industry. This is precisely what the partnership between NuScale Power, Nuclearn, and NPX is designed to address through the AtomAssist platform.
The Nuclear SMR AI approach developed through this collaboration is engineered to meet those elevated standards โ ensuring that the efficiency gains from AI deployment do not come at the cost of the accuracy, safety, and regulatory integrity that define nuclear project execution.
AtomAssist and the Role of Nuclearn and NPX
Nuclearn’s AtomAssist platform serves as the AI backbone of the initiative, while NPX brings its nuclear project management and AI implementation expertise to the collaboration. The combination positions NuScale Power to deploy AI tools that are not only technically capable but also suited to the operational realities of a highly regulated industry.
Together, the three organizations are working to build solutions that can scale alongside NuScale Power’s broader commercialization efforts โ supporting engineering teams as the company moves its NuScale Power Modules closer to deployment.








































