Grants and Contributions

The nuclear industry is process heavy, where multiple processes, procedures and data sources live in disparate systems. This project is focused on developing AI-enabled technology that derives insights from unstructured language data (text and audio to retain operational knowledge, speed up manual or cumbersome processes, and improve data quality for future AI analysis.

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

Digital strategy consulting and digital engineering is the fastest growing segment of our business this year; NPX has supported digital engineering and strategy work at all new nuclear builds in Canada and we are beginning to expand our work abroad. The new graduate filling this role will be responsible for research in model-based engineering systems that will inform proposals to our new nuclear customers for digitization of their complex engineering systems. They will support the alignment of digital tools with the business objectives of our largest clients, stakeholders and subject matter experts. If their research and proposal is successful, they will become an integral part of the team executing digital strategy work with the client.

At NPX, efficient internal processes, systems, and workflows support how employees work and they fuel the success of every team. Our Business Operations Specialist will strengthen this foundation by developing tools and automations, applying AI to improve efficiency, supporting strategic projects, and enhancing the integrity of the data that drives our decisions. This individual will support the Director of Business Operations' strategic objectives for 2025, developing resources and systems to standardize and simplify workflows and deliverables across the company and proactively recommend smart AI use-cases to save time, reduce repetition and level-up data insights to make smarter, faster decisions at all levels of the company.

The objective of this project is to create an AI-driven system that automates the analysis of engineering drawings, identifies obsolete equipment, and facilitates digital transformation by converting paper-based designs into universally accepted digital formats. This system will have a series of performance targets to ensure its practical application for future commercialization

The proposed R&D pilot project aims to develop a generative AI solution to reduce the time required for generating item equivalency evaluations by design and procurement engineers by 20% compared to the current average. By leveraging advanced AI models trained on historical evaluation data, the project seeks to automate and streamline the evaluation process of critical characteristics on components in the nuclear power facility.

This project focuses on prioritizing and managing innovation improvements throughout the course of 4 Major Component Replacement (MCR) projects at a large-scale nuclear power plant in Ontario. NPX has been engaged to support the development and evaluation of innovation ideas and opportunities through concept selection, feasibility, validation, and close out or inclusion as core scope in the MCR program. The goal of the project will be to reduce refurbishment duration through process and technological innovation.

A nuclear power plant (or any industrial facility) has hundreds of thousands of equipment and components that need to be continuously monitored for safe and reliable operation. System and Component Engineers spend much of their time compiling data to write “health reports”. NPX is building a software platform for automated health reporting, allowing engineers to use their time to improve equipment health instead. The platform is web-app, that connects enterprise data and automatically produces equipment and component health reports and will be further developed to integrate machine learning, continuous online monitoring data, and to provide condition-based monitoring analysis and insights.

Through the application of national and local priorities, the CSJ program seeks to provide youth, particularly those who face barriers to employment with access to work opportunities. Funded employers must demonstrate that they are providing quality work experiences for youth that provide opportunities to develop and improve their skills.