Grants and Contributions

Scription is launching the first project in its multi-year machine learning program. This project will enable Scription to dramatically improve the speed and quality of its services that allow maintenance companies to provide subscription-based maintenance plans. By leveraging both real-time and historical data, the model aims to initially deliver quicker and more precise contract pricing with expansion of the model’s application to ultimately include additional outcomes such as self-serve price estimations. This effort not only supports Scription's innovative strategy to revolutionize the commercial and industrial maintenance industry, but also offers efficiency gains and cost reductions for both equipment owners and service providers

To measure the dynamic loads imposed on girders being shipped by road to determine the appropriate Dynamic Load Allowance to use in the fatigue calculations prescribed by the applicable codes and standards.

This project will facilitate the digital connection of in-field sensors to a digital platform that is scalable and simple for farmers to use for precision nutrient management.

The project aims to develop the control and software platform for managing and controlling the power demand of EV charging infrastructures and renewable energy resources on both local and large scale. With the advanced charging and energy management platform that combines cloud and edge computing, the system can integrate EV charging with renewables and energy storage to minimize the impact on the electrical infrastructure. It also enables opportunities to do further integrations with other electrical and user management systems, to bring seamless user experience to EV drivers.

As a part of the 13-application design, MyPineapple+ as the premium mortgage & insurance platform, will be enhanced with the Connections App, Insights App and Refinance Calculators to provide essential functionalities and a smoother all-in-one user experience.

The project advocates for an advanced conversational agent, harnessing Large Language Models (LLMs) to address complex data challenges. It refines data selection tactics, integrating LLMs for synthesizing information accurately. Furthermore, it proposes an intuitive conversational interface embellished with interactive elements, promising enhancement in user engagement.

Develop and commercialize advanced composite material technologies for ground panels for military vehicles and aircraft wheel loadings. Additionally, apply these innovative material technologies to composite structural beams in watercourse infrastructure, dam gates, docks, and piers.

This project aims to quantify and mitigate some of the challenges associated with aerial mycelium production at a commercial scale. The project will uncover the root cause for deviants and contamination within the aerial mycelium growth process. Moreover, this project seeks to analyze a variety of potentially contributing factors and determine exactly what steps need to be taken in the aerial mycelium growth process to limit contamination and maximize throughput.

As a pilot project, the general objective of the proposed project is to identify and assist SME firms engaged in pharmaceutical development and manufacturing who will be undergoing a regulatory body (FDA, HC, EMA, etc) audit. Identification of firms, creation of awareness, and building of networks in quality assurance and regulatory compliance.

The principal goal of this project is to build the innovation capacity and enhance the business competitiveness of Prairie Packaging Inc. with a particular focus on manufacturing operations.