Vidir Solutions is a leading manufacturer and worldwide supplier of vertical automated material handling carousels and display systems. Our highly versatile product lines offer industry solutions for construction, retail, medical, warehouse, government, automotive, printing, and manufacturing.
We are looking to establish a melt spinning line to not only expedite R&D, but to meet customer demand. After pilot completion, we anticipate major interest and are seeking an experienced partner to assist us.
A leading global provider in augmented reality training solutions, DeepSight is looking for an industrial partner for the deployment of a pilot project aimed at creating 3D instruction guides for learning complex manual tasks. DeepSight will lead an implementation phase of 4 weeks during which we will be training a creation champion overseeing the creation of content on the DeepSight Studio, and an operation champion overseeing the deployment of the content on the factory floor using the DeepSight Holo application on smart glasses and/or mobile devices. The industrial partner will be responsible to gather baseline data before the implementation, and performance data after the implementation, to validate the success of the project. The industrial partner will also have to provide feedback for necessary improvements to the DeepSight solution, and gather feedback from on-the-floor workers as well.
As a provider of an alternative to fetal bovine serum (FBS) called YEX Serum, the company is looking at integrating hydraulics and new homogenization techniques into our production pipeline. Our goal is to increase our production output capabilities.
We would like to develop a market-ready product that uses embedded fuzzy logic control. This product would preferably be a high energy consumer like home appliances, conventional or electric vehicles, battery chargers, furnaces, boilers, HVAC systems, power tools, etc.
Development of production process for high quality conductive (metalized) woven fabrics that are lightweight and durable
Dimatec Inc is developing a metal injection molding (MIM) process to manufacture the diamond impregnated products without defects. The MIM process will increases the strength and wear resistance property of the diamond drill bits and tools. It will also help to produce the defect-free parts.
Maya HTT is an industry-leading software developer and engineering services provider of multi-physics simulation, computer-aided engineering (CAE), computer-aided design (CAD) and manufacturing (CAM), Product Lifecycle Management (PLM), IIoT integration and industrial AI applications.
Over the last 40 years, Maya HTT has developed more than 35 engineering simulation products deployed on a platform used by more than seven million industrial experts worldwide. From 3D thermal and fluid dynamics analysis initially, Maya HTT grew to encompass many engineering specialties (structural & dynamics, thermal, flow, durability, MBSE, electromagnetic and others) for a wide range of industries.
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.
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.
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
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.
