Overview
- The companies completed a proof-of-concept in mid-July that autonomously generated and optimized construction work packages for AP1000 reactors using Westinghouse’s WNEXUS platform with HiVE, bertha and Google Cloud tools.
- Westinghouse’s HiVE and bertha systems leverage over 75 years of proprietary nuclear data to streamline complex engineering workflows from design through licensing.
- Google Cloud contributes Vertex AI, Gemini and BigQuery for scalable data processing and advanced generative AI capabilities to power the joint automation platform.
- The initiative will initially focus on the fully licensed AP1000 modular design before extending AI-driven efficiencies to AP300 small modular reactors, eVinci microreactors and existing nuclear plants.
- Neither company has disclosed specific timelines for rolling out the AI-powered construction and operational tools across commercial reactor projects.