GIT is a leading Canadian materials engineering firm focused on the development of novel marine coatings which improve the performance of all types of vessels. Our products offer a unique approach to the problem of marine biofouling which grows on the bottom of ships and boats. We are now planning the development of a pilot production facility which will be just as innovative as the product itself.
We are looking for partner candidates who are interested in working with us on the development and construction of this production facility.
The SeaWeave antiviral biomask is a product that’s IP is being developed by Clean Valley in collaboration with McMaster University and Dalhousie University. The end product is personal protection equipment that is able to neutralize the spike protein of COVID-19. The antiviral component has been designed by Clean Valley to integrate with a biodegradable fabric.
The mask as a reusable or disposable mask is intended to be thrown into the local Municipal Green Bin.
Metafold is a 3D printing startup that leverages mathematics to print complex geometries such as lattices, microstructures, and metamaterials (engineered materials).
The proposed project is a collaboration to unlock new manufacturing possibilities within 3D printing, such as vascularized tissues in life sciences, ultra-light lattice parts for aerospace applications, or new photosensitive material possibilities in metal and ceramic.
Solaires Entreprises Inc. is creating the next generation of solar cells based on innovative processes and sustainable materials. Solaires has developed a patent-pending Solar InkTM containing Perovskite materials. Perovskite solar cells are flexible, light, and provide a great range of applications with high energy efficiency.
Solaires’ Perovskite solar cell manufacturing process is faster, less expensive, and cleaner compared to conventional silicon solar cell manufacturing.
Solaires is in business for a cleaner world.
Their interest in participating in the NGen program is directed at finding a suitable partner with whom to marry their surface (and possibly air) disinfection capabilities and expertise with a company specializing in robotics and sensor technologies to jointly develop a disinfection device aimed at sanitizing public and private spaces such as airplanes, passenger cars, hospitals, medical offices, schools, retail locations, etc.
Interaptix Inc. has developed a SaaS-based remote inspection, remote assembly, remote audit, and remote training platform that leverages Augmented Reality (AR) to improve accuracy, eliminate travel, and enable expertise to be shared in real-time. The platform leverages both tablets and headsets to reduce the technological barrier to entry for manufacturers.
This project would validate the use of the platform in manufacturing settings, and quantifiably determine the savings obtained by leveraging the platform.
Aléo Canada is developing a digital twin that will allow simplified access to strategic plant information, remote monitoring, and maintenance, as well as a simulation for the installation of new machines or production lines.
The platform installed in the cloud is based on the IoT (Internet of Things) for data collection in the factory, artificial intelligence to drive decision making in real-time, and finally, 3D digital simulation to view and design the entire plant in its operation and development.
Linamar is currently developing a manufacturing process for producing braided carbon fiber H2 storage tanks. This process is unique both in product design and manufacturing methods.
Linamar does not have previous manufacturing experience in carbon fiber products and would like to develop robust Health, Safety, and Environmental practices.
EPIC Semiconductors is looking to establish a partnership with an industrial manufacturer to develop and deploy a comprehensive blockchain secured, AI-supported production chain using its proprietary Smart Dust sensors (microscopic AI sensor chips) for Industry 4.0 solutions.
To deploy their industrial IoT sensor platform for direct imaging of sprays and powders in industrial spaces. Their sensor measures sprays and performs real-time analysis for QA/QC and preventative maintenance. The sensor images the nozzle and sprays and generates real-time analytics using machine vision and AI. Their sensor can add value to every stage of a spray process, including nozzle selection, process parameters selection, and in-situ real-time monitoring to reduce defects and waste.
This project would help validate the use of their technology and quantifiably determine the savings obtained by leveraging their platform in an industrial spraying application.
Cloud 3D Print is a cloud-based software and hardware platform that links up 3D printing workspace and lets users manage the project workflow remotely. By using an IoT control panel, called the Cloud 3D Panel, users can connect multiple 3D printers and control and monitor them through the software platform. Features include 3D Printing online slicing, control and monitor, project management, online storage, and 3D printing reporting.
Many manufactures already collect production data, but rarely exploit it. This project aims to exploit existing manufacturing process data (additional data acquisition also possible). The data provided by the partner will be analysed and utilized in support of machine learning in order to improve the manufacturing process.
For a manufacturing process, via the use of; computational modeling, optimization & software tools:
Undertake development in a virtual environment (computational model)
Define key process parameters via AI-driven optimization.
Create custom software tools
Boardera and its partners intend to create an online marketplace to provide a fair, open platform for electronic manufacturers and customers to connect and quickly turn designs into finished products. This marketplace will utilize.
Boardera’s eManufacturing software to accurately capture the design intent and drastically reduce the time and cost required to bring a new PCB product to market.
This project leverages a tier 1 and 2 metallic structural component manufacturer’s process data and automated welding facility to elevate AutoMetrics’ machine learning-powered system for production-level deployment and to equip the manufacturer with the latest intelligent welding process monitoring technology capable of providing automated feedback and integration with closed-loop control systems.
To demonstrate tracking of employees, equipment, robots and carts exposed to hazardous areas, machinery and robotics in environments where humans and these factors interact on a daily basis. Ideal scenario would be multiple tiers of access to different areas. Using BlackTrax and some customized software we can provide the location (real-time and historical) to stop machinery, send alerts, or signals to managers as well as flag unauthorized access to areas where there are major safety and or security concerns.
