Nuclearn

An AI automation platform built for nuclear power plants, cutting the piled-up paperwork

Contact for pricing United States

Nuclear power plants are one of the most document-heavy industries in the world: every anomaly requires opening a condition report, and each one requires manual classification and screening. What Nuclearn does is hand these routine interpretations that eat up engineers' time to AI, letting manpower return to the work that truly needs judgment.

Features and application scenarios

The product line is divided by the nuclear plant's actual departments: Equipment AI, Parts AI, Performance Improvement AI (PIAI), Engineering AI, AtomAssist (a nuclear-specific chatbot), Capitalizer, Project Genius, and Cap AI. The pitch is "faster operations, lower backlog, less risk," with the concrete approach of automating workflows, speeding up information lookup, and improving work quality — among which the automatic screening of condition reports is listed as a flagship result. The company serves over 70 nuclear facilities in North America and the UK, covering engineering, maintenance, and compliance teams. In positioning, it emphasizes being built for the nuclear environment rather than wrapping an interface around a general large language model — the founding team comes from institutions like the Palo Verde nuclear plant, with decades of industry experience.

Suited to nuclear plants' engineering, maintenance, and compliance departments. Taiwan's nuclear units are being decommissioned one after another, which seems unrelated, but two things make it worth attention: first, nuclear-waste disposal and decommissioning engineering equally have huge document and compliance work; second, the proposition of "how a highly regulated heavy industry adopts AI" has reference value for Taiwan's petrochemical, semiconductor plant-facility, and power industries. The nuclear industry is one of the most conservative industries toward AI I've seen; even they are adopting it, so other industries have no reason to say it can't be done.

Main features

Automatic classification and screening of condition reports
Equipment AI / Parts AI / Engineering AI department-specific modules
Performance Improvement AI performance-improvement analysis
AtomAssist nuclear-domain-specific chatbot
Workflow automation and backlog clearing
Auditability designed for the nuclear-regulatory environment

Common uses

Automatic screening and assignment of condition reports
Equipment and parts data lookup
Retrieval and Q&A of engineering documents
Preparation for compliance-audit work

Key Features

Automatic classification and screening of condition reports
Equipment AI / Parts AI / Engineering AI department-specific modules
Performance Improvement AI performance-improvement analysis
AtomAssist nuclear-domain-specific chatbot
Workflow automation and backlog clearing
Auditability designed for the nuclear-regulatory environment

Pros

Deeply vertical in nuclear, with domain knowledge unmatched by general models
Actually adopted by over 70 facilities in North America and the UK
The founding team has nuclear-plant practical background and understands regulatory constraints

Cons

An extremely limited customer base; non-nuclear operators can't use it
Procurement must pass the nuclear industry's strict security and quality-assurance review
Pricing not public; it's an enterprise-grade project

Use Cases

Automatic screening and assignment of condition reports
Equipment and parts data lookup
Retrieval and Q&A of engineering documents
Preparation for compliance-audit work

Editor's Note

Even the most heavily regulated, most conservative nuclear industry is using AI to handle documents, so other industries' reason of 'we're more special so we can't use it' is getting increasingly untenable.

FAQ

Do nuclear plants dare use AI? How is safety controlled?

The key is which layer AI is used at. Nuclearn's applications concentrate on document processing, classification, and information retrieval — administrative and engineering-support work not involving reactor control. Safety-related decisions are still the human's responsibility, and what the AI does is organize data in front of the human. Only with this line clearly drawn can it pass the nuclear industry's review.

Can any institution in Taiwan use it?

Taiwan's nuclear units are being decommissioned one after another, but the decommissioning engineering, nuclear-waste management, and related compliance documents are still huge in volume. This kind of tool's methodology — turning large amounts of unstructured technical documents into searchable, auto-classifiable assets — has reference value for Taipower and related units.