U.S. Department of Energy Leverages Advanced AI to Transform Nuclear Reactor Licensing and Accelerate Commercial Deployment

DOE utilizes Gordian AI to cut nuclear licensing document generation from weeks to one day, accelerating the deployment of advanced commercial reactors.

By: AXL Media

Published: Mar 30, 2026, 4:24 AM EDT

Source: Information for this report was sourced from Energy - US uses AI to boost efficiency, accuracy of nuclear technology licensing applications

A Bold Leap Toward AI Accelerated Nuclear Energy Deployment

The United States is entering a new era of regulatory efficiency by integrating artificial intelligence into the historically slow nuclear licensing process. According to Rian Bahran, Deputy Assistant Secretary for Nuclear Reactors, the Department of Energy has successfully demonstrated that AI can transform how the industry prepares its safety submissions. By using a specialized AI mapping tool, the department converted a safety analysis document for advanced reactor demonstrations into the rigorous format required for commercial Nuclear Regulatory Commission licensing. This achievement suggests that AI is no longer just for incremental improvements but is a foundational tool for upholding safety standards while drastically reducing the bureaucratic hurdles that often delay clean energy projects.

Engineering Precision with the Gordian AI Solution

At the center of this technological shift is Everstar’s Gordian AI, a solution engineered specifically for the high-stakes demands of nuclear-grade technical work. Built on the Microsoft Azure platform, Gordian utilizes semantic ontology mapping to ensure that its outputs are computed and verified based on physics and engineering principles rather than being merely inferred. This level of precision is critical in the nuclear sector, where every data point must be accurate to ensure public safety. By integrating complex datasets into a cohesive 208-page document, the AI has proven it can handle the depth and rigor required for the most demanding regulatory environments in the energy industry.

Reducing Regulatory Timelines from Weeks to a Single Day

The speed at which the AI operates represents a massive shift in human resource allocation for nuclear projects. Traditionally, a team of experts would require four to six weeks of intensive manual labor to convert a Preliminary Documented Safety Analysis into an NRC-equivalent application. The Gordian AI completed this task in just 24 hours, identifying missing or incomplete information that would otherwise take multiple rounds of human review to catch. This rapid turnaround allows engineers and safety experts to focus on higher-level problem-solving rather than getting bogged down in the clerical adjustments and manual document reviews that have historically stretched the licensing process over several yea...