Grants and Contributions

The project will support the development of intellectual property capacity within the firm.

The Firm will advance the development of its construction equipment access control solution by developing the design and production of a custom PCB and enclosure, expanding software’s feature set, enhancing system security, and testing scalability. This phase is crucial to transitioning from MVP to commercial readiness, ensuring the solution can be deployed efficiently at scale while maintaining robust security measures. Having secured funding from the Government of Newfoundland & Labrador Department of Industry, Trade and Technology for a significant portion of the project, this funding from NRC will help de-risk the cash-flows and accelerate the timeline for the project.

Tecium, a Toronto-based engineering SME, is advancing its EV telematics and cloud analytics platform through AI-enabled insights. This IRAP R&D project integrates AI large language models (LLMs) to analyze EV operational data, predict battery health, and optimize second-life battery applications. Key innovations include AI-driven failure prediction, warranty violation detection, and an automated API for assessing used EV value. The project benefits fleet operators, battery stakeholders, and used EV buyers while strengthening Tecium’s market position. By leveraging AI, Tecium enhances sustainability, efficiency, and decision-making in the EV ecosystem.

The project will support development of intellectual property capacity within the firm.

The project will explore the use of solvent in a novel way to recycle legacy composite components. By identifying the market requirements, we will refine our recycling system to ensure commercial viability. This project will build on our previously established innovative recycling processes developed for recyclable materials.

The project involves a technological visit a shellfish hatchery and nursery operation operated by Morecambe Bay Oysters in the region of Barrow-in-Furness, UK.  The projects seeks to study and understand their innovative continuous algae production system for potential to integrate this system into the firm's own shellfish nursery, currently in the design stage.  Further the visit will allow the firm to study the site's water treatment and heating system, which allows them to undetake early spring production

To provide technical employment for a youth in the field of water treatment.

This R&D project aims to test hypotheses and experiment with new mechanisms to design a repeatable and scalable business process, as well as to develop intellectual property in business methods.

This project is a key component of a larger initiative to develop a virtualized ingress monitoring solution to enhance network management and scalability for cable operators. By leveraging software-defined architectures, this solution seeks to optimize performance, reduce operational complexity, and improve cost efficiency. This specific project aims to develop a high-performance proof of concept (PoC) prototype of key elements of the MVP of this solution to validate its scalability and reliability under real-world operating conditions.

Achieving fault-tolerance through brute-force error correction schemes is expected to require a superconducting quantum processor with millions of physical qubits. While recent experiments have successfully demonstrated the feasibility of error-correction in principle, the hardware overhead seems prohibitive for a commercially relevant machine. In this project, the firm will introduce an alternative pathway to achieve fault-tolerance with superconducting qubits that has the potential to significantly reduce the error-correction overhead.