Nuclearn is a Phoenix, Arizona software company applying artificial intelligence to the unique operational challenges of nuclear power plants. It was co-founded by Bradley Fox (CEO) and Jerrold Vincent (CFO), both veterans of the nuclear industry with experience at the Palo Verde Nuclear Generating Station, the largest power plant in the United States. Their thesis is that the backlogs endemic to nuclear operations, from engineering change requests to corrective-action items, are not merely inefficiencies but genuine operational and safety risks, and that AI tuned to nuclear workflows can systematically reduce them.

Nuclear plants generate enormous volumes of documentation and procedural work governed by strict regulatory requirements. Tasks that would be trivial to automate elsewhere are complicated by compliance, traceability, and the conservative culture of the industry. Nuclearn positions itself explicitly as 'not a generic AI wrapper,' building tools that understand nuclear-specific processes, terminology, and regulatory constraints. Its product suite spans Engineering AI, Parts AI, Performance Improvement AI, AtomAssist, Capitalizer, Project Genius, and Cap AI (for corrective-action programs), each targeting a category of repetitive, document-heavy work.

By automating classification, drafting, and information retrieval, Nuclearn helps engineers and operators clear backlogs faster and surface critical information sooner. The company reports its software is already in use across more than 65 reactors worldwide, a meaningful footprint in a famously hard-to-penetrate industry, reflecting both the founders' credibility and the acuteness of the problem.

In September 2025 Nuclearn raised a $10.5 million Series A led by Blue Bear Capital, with participation from SJF Ventures and follow-on investment from existing backers AZ-VC and Nucleation Capital. The funding supports scaling its automation platform and expanding adoption across the global nuclear fleet at a moment when nuclear power is enjoying renewed attention as a clean, firm energy source for AI data centers and decarbonization. As utilities extend reactor lifetimes and pursue new builds, Nuclearn aims to be the AI layer that keeps the existing fleet running efficiently.