Grants and Contributions

Elemental Trucks is developing a next-gen hydrogen fuel cell Class 8 truck with superior performance and cost efficiency. Key innovations include a new chassis design, improved fuel cell and battery integration, AI-driven energy management, hybrid powertrains, and optimized thermal management. Designed in Canada, our truck targets a $7–10B domestic market, leveraging strong policy support and top-tier talent. Ideal for heavy-haul, urban, and cold chain fleets, it offers long range, fast refueling, high payload capacity, and zero emissions. By 2030, our trucks aim to reach TCO parity with diesel.

Develop an AI Leasing Assistant capable of responding 24/7 with property-specific, natural language, and smart workflow automation that handles lead qualification, property matching, showing bookings, and application follow-ups.

This project will advance the DMU from TRL7 to TRL9. This project will undertake post laboratory trial validation of the minimal viable product and mathematical model through field deployments on operational dredging sites. The firm will also focus on transitioning to more robust and futureproof hardware in order to accommodate modern enterprise ecosystems and contemporary embedded system engineering practices. Additional field trialing will allow for the collection of large amounts of data to use in the development of an edge inference machine learning interface to improve system accuracy.

Develop and integrate an array of radar sub-systems and software stack suitable for Dual Use

Kraken is developing a dual-band Circular Synthetic Aperture Sonar (C-SAS) system to improve underwater imaging performance, target classification confidence, and operational flexibility. Building on Kraken's proven SAS technology, the system supports both linear and circular SAS imaging capabilities using a modular hardware architecture suitable for both person-portable, and larger UUV payloads.

Flood-induced disasters in both riverine and coastal environments have become increasingly frequent due to climate change and urban expansion. Traditional evacuation models rely on static assumptions and fail to capture the complexity of human decision-making under stress. Agent-Based Models (ABMs) offer a powerful alternative by simulating interactions between heterogeneous agents, allowing for more realistic and adaptive evacuation scenarios. This Project will apply a newly developed ABM model to evaluate evacuation effectiveness under different coastal and riverine flood scenarios, considering factors such as early warning systems, road network congestion, and social influence on decisionmaking. Incorporating Artificial Intelligence (AI) will enhance predictive capabilities, while virtual reality (VR) will serve as a training and educational tool for emergency planners and local populations in flood-prone areas. The Project’s merged coastal engineering, AI-driven computational modeling and sociology of disaster management will create a robust, human-centered framework for disaster response.

Flood-induced disasters in both riverine and coastal environments have become increasingly frequent due to climate change and urban expansion. Traditional evacuation models rely on static assumptions and fail to capture the complexity of human decision-making under stress. Agent-Based Models (ABMs) offer a powerful alternative by simulating interactions between heterogeneous agents, allowing for more realistic and adaptive evacuation scenarios. This Project will apply a newly developed ABM model to evaluate evacuation effectiveness under different coastal and riverine flood scenarios, considering factors such as early warning systems, road network congestion, and social influence on decisionmaking. Incorporating Artificial Intelligence (AI) will enhance predictive capabilities, while virtual reality (VR) will serve as a training and educational tool for emergency planners and local populations in flood-prone areas. The P merged coastal engineering, AI-driven computational modeling and sociology of disaster management will create a robust, human-centered framework for disaster response.

The Firm is advancing wireless power and data solutions for harsh and dynamic environments, including rotating systems, corrosive or dirty atmospheres, extreme temperatures such as the Arctic, and undersea applications. Platforms such as helicopters, drones, robotics, and undersea sensors benefit from the Firm’s technology, which overcomes the reliability limits of wired connections. By eliminating failures caused by corrosion, vibration, wear, and sealing challenges, the Firm's technology enables reliable and efficient operation for aerospace, defence, and military applications.

Not a Project (Mandated or Core Funding)

Batch