Engineering AI
For decades, engineering in nuclear plants has developed and maintained deep expertise through long hours, once-in-a-lifetime experiences, and the near-miraculous recall of mountains of documentation. But today, with a newer workforce, rising complexity, and fewer opportunities to forge unique experiences, something has to change. Enter: AI.
Automates applicability determinations, screenings, and evaluations for design and configuration changes.
Extends 50.59 reasoning to dry cask and spent fuel storage system changes.
Streamlines development of ASME Code relief and alternative requests.
Automates configuration risk assessments during maintenance planning.
Guides engineers through reportability assessments for defects or nonconformances.
Automates documentation and justification of SSC categorizations.
Generates structured diagnostic game plans for equipment and system issues.
Produces automated system health reports combining KPIs, trends, and narrative insights.
Automates revision drafting and traceability for UFSAR and DBD updates.
Provides AI-based semantic comparison and impact mapping across engineering documents.
Automates key classification analyses performed during design changes.
“50.59 reviews used to be one of the biggest time sinks for our team. With Nuclearn’s Engineering AI, we’re now able to pre-screen changes in minutes instead of days. The contextual insights it provides—especially around licensing thresholds—give us confidence we’re making the right call faster. It’s not just saving us time; it’s improving the quality of our reviews and reducing the back-and-forth with Licensing.” — Lead Design Engineer, Nuclear Utility