DIGITAL & IT | WORKING SMARTER
Above:
The Nuclearn team was bought together because the founders were exhausted by inefficiency within the nuclear industry
NEI: How do you address the perception that AI is risky in high-consequence environments like nuclear? Vincent: It’s a legitimate concern, and it’s why we’ve built Nuclearn to support – not replace –human judgment. We always say: in nuclear power, the operator is the hero. The engineer is the expert. Our platform exists to support them, giving them back time, reducing cognitive load, and letting them focus on the things that actually require human insight. Unlike many AI tools, ours is not a black box. Everything the AI produces is traceable. You can click and see where it pulled that citation from, what revision it used, and how it matched the prompt. Fox: That’s why we’ve gained trust quickly. Our early
adopters didn’t just see a flashy demo, they got results. Fewer documentation errors. Faster turnarounds. Higher compliance confidence. When you show up with a secure, auditable, proven solution that saves people hours a week, the scepticism fades.
NEI: Are there some real use examples? Fox: A few stand out. One team reduced their procedure prep time by 50% using our AI assistant. Another used our capital vs. expense classifier to improve how work was coded, which had a material impact on their income statement. We’ve seen safety analysts go from spending hours
compiling observation trends to having a dashboard ready in minutes. Maintenance planners are using the system to streamline outage scope planning. It’s widespread. Vincent: And those are just the formal use cases. Informally, we hear things like: “It helps me get unstuck.”
Or “It makes me feel more confident that I haven’t missed something.” That’s when you know the AI is doing its job, it’s reducing friction and building trust.
NEI: Where do you see the role of AI in nuclear heading over the next five years? Vincent: We believe AI will become as essential as the control room. Not because it runs the plant, but because it frees the people who do. You’ll see AI embedded into safety analysis, license renewal planning, outage coordination, even vendor audits. Not to replace experts, but to make their expertise go further. That’s critical, especially as we face workforce attrition and an aging knowledge base. More importantly, we’re listening. Every feature we’ve built has come from a conversation with a utility, an operator, or an engineer who said, “What if it could do this?” That’s what keeps us essential, not just being smart, but being in service to the mission of nuclear. Fox: I think the bigger picture is: if we want to scale
nuclear, we have to scale the human element too. We can’t just build more plants, we need to operate them with smarter processes, tighter workflows, and better use of our people’s time.
AI done right is how we get there. As the nuclear sector
contends with aging plants, workforce turnover, and the need to scale new generation, the team at Nuclearn aims to set a new standard, not just for what AI can do, but for how it should be done. If AI is to play a role in the future of energy, it will need to earn the trust of the most exacting industry on earth. ■
Right: Nuclearn believes AI will have in increasingly important role in the nuclear sector
22 | August 2025 |
www.neimagazine.com
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