Grants and Contributions

mode40 will lead a Prairie pilot that onboards aerospace and defence suppliers into the AeroTrace Supplier Network and deploys a Canadian-sovereign Digital Manufacturing Passport capability to generate audit-ready traceability and validate controlled evidence exchange with Tier-1 integrators.

Expand market share of agentic-AI-powered manufacturing control system

Participation in the Canadian AI Manufacturing & Cleantech co-innovation mission to Japan – December 2025. Delegation led by the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP) to explore the Japanese market and to develop international partnerships and potential project ideas under the Japan Program. In Partnership with the Trade Commissioner Service Canadian Technology Accelerator (TCS CTA), the Canadian delegation will also receive support for their international business and market-entry strategies, as well as get introductions to other potential partners and clients during the mission. Firms will also be attending the Japan Innovation Leaders Summit (ILS).

The Project will support development of intellectual property capacity within the Firm.

The proposed project, AI-Based Software Planning for Liquid Manufacturing, aims to enhance the MAST MES platform—developed by Mode40—by tailoring its advanced capabilities to the specific needs of the liquid manufacturing sector, with a focus on brewing operations. MAST MES is an AI-driven Manufacturing Execution System that integrates real-time data, automates workflows, and provides predictive insights to optimize manufacturing processes. This initiative involves a collaboration between two parties to adapt MAST MES's existing functionalities—such as dynamic scheduling, predictive maintenance, and real-time monitoring—to address the unique challenges of liquid manufacturing.

Participation in the Canadian advanced manufacturing technology co-innovation mission to the Eureka Global Innovation Summit at Hannover Messe (Germany) – March 30 to April 4, 2025. Delegation led by the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP) to develop international partnerships and potential project ideas under the Eureka Programs.

This project is part of the international consortium project “Xecs project 2022005 TASTI led by Philips (Netherlands)".
The main goal of TASTI is to develop a modular framework of transferable technology to innovate synthetic image generation and tailor it towards applications. The proposed framework is multidisciplinary and will feature a holistic view on (1) solutions for optical sensor systems and training simulators, (2) cloud/edge infrastructure considering processing hardware and acceleration techniques, and (3) software components and algorithms, including AI.

This project will significantly increase the features and functions of an existing platform for a novel system which has successfully shown in lab results to provide significant accuracy and advanced automation from comparable industry systems. This will specifically digitize feed mill manufacturing and add livestock forecasting improvements to increase the current optimization with new dimensionality.

This project will test the viability of an existing MVP (minimum viable product) which has successfully shown in lab results to provide significant accuracy and advanced automation from comparable industry systems. Pilot projects in industry will provide critical information required to produce a commercial-beta system.

The objective of this project is the practical application Of Internet Of Things (IOT) and Artificial Intelligence methodologies in order to improve carcass coding and its related challenges in the meat industry. Effective carcass cooling can have a significant impact on the economic state of the industry in a number of areas, including carcass shrink, associated product detects both process and sensory related, bacteria growth affecting shelf-life and food safety factors.