Grants and Contributions

Optimization of SmartGRO’s new Canadian manufacturing facility by automating key assembly and testing processes, implementing quality control and traceability systems, and streamlining workflows to increase throughput and reduce defects.

The Digital Ad Specialist directly supports Beck’s Broth’s sustainable growth by increasing brand awareness, attracting new customers, and boosting sales through digital channels.

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

The purpose of this project is the incremental improvement of the highly technical Certolux lighting portfolio to become technical leader within target markets. Such applications include but are not limited to surgical suites, MRI exam spaces, cleanroom manufacturing environments, behavioral health facilities and datacenters. These applications require research and development efforts in the areas of biophilic lighting and controls, advanced flicker performance and Electromagnetic Compatibility and Interference (EMC/EMI - particularly as it relates to MRI spaces).

Data volume and complexity is increasing with the increased role of sustainability, and the impacts and multiplier effects of integrated home design. The objective of this six month assignment is to engage a youth developer as part of a broader team to implement an AI scraper that collects relevant data for building products, and convert them to structured data to be used for further more effective AI analysis.

The project will explore scraper technologies and available API's, propose a data structure, use AI to convert unstructured to structured data, create a working web interface and validate end-to-end flow. Data inputs could originate from integrated design, sustainability, innovations, trends, supply chain & buyer sentiments.

Real estate conveyancing is a complex legal process that relies heavily on digital tools to improve efficiency. However, developing effective software requires close collaboration with legal experts and deep analysis of case data, a time-consuming task made harder by the gap between legal and technical knowledge. Innobridge is creating an AI-powered solution to bridge this gap, supporting both case understanding and automated document generation. This innovation streamlines development and gives Innobridge a competitive edge in delivering smarter, faster, and more efficient digital conveyancing software tailored to real-world legal workflows.

This project involves designing, developing, and implementing two production-ready API integrations between the firm's software platform and external third-party systems.

This project aims to integrate ultra-low-latency network functionalities, enabling users to optimize the processing of data exchanged between an FPGA-based SmartNIC and a host processor (CPU).

Intelligent engine for automatic real-time incident detection and optimized resource allocation in a mass transit environment.

The project intends to complete the development of various neurofeedback and AI/ML algorithms for sleep regulation in preparation for commercial launch.