Grants and Contributions

Builds the technical infrastructure for the Firm's sponsor-funded network

Development of a resilient 5G and distributed edge cloud architecture to support mass emergency event management, digital twinning, and mission-critical applications.

The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of a native AI voice & text processing to streamline and support clinician's accreditation workflow.

This project aims to provide meaningful employment for a youth in the field of Artificial Intelligence and Computer Science in the role of Statistical/AI Analyst. The selected candidate will support the development of an AI‑based adaptive examination system by conducting statistical analysis, assisting in AI model development, and contributing to data-driven improvements in the system’s adaptive assessment capabilities.

The purpose of this project is to provide RideFlag’s senior designers with support on two upcoming projects that will include a new, all-in-one commuter platform that goes beyond just HOV verification but encompasses a multitude of plug-ins requested by the clients of these projects that would be made available to end-users of the mobile application. In addition to designing these screens, the intern will work directly with clients to gain feedback on designs, and then test the function of said designs and flows under numerous circumstances prior to launch.

The work to be performed by this new employee includes needs analysis, solution design, and the evaluation of various technologies.

The Firm has developed a unique AI technology that uses one camera to view a live musical performance and without moving the camera and needing any videographer create a dynamic version of the image with pans, cuts and zooms. This greatly improves the quality of the live streaming or recording of a live music performance. However, this limits the technology to just having one view of the whole band and no view of the players from different angles. Having a multi camera system consisting of 2-3 cameras greatly enhances the viewing when AI is used to choose which camera view to select dynamically during the performance. The cameras can be installed near certain players or from side angles. The AI system needs to determine what camera view to use.

with an active customer list approaching 600 clients and significant growth both domestically and in the US, GrackleDocs' sales resources have been spread thin, creating an opportunity for a recent graduate to assist the team in sales enablement, customer management and lead generation. Expanding our sales team is a critical need, we are in process of launching several new software products, and have AI tools currently in deployment which will require significant efforts from our sales operations to push into the market. This is a great opportunity for a recent grad to work at a successful high growth AI company in the digital accessibility industry.

Belair Mechatronics Inc. will provide a recent engineering graduate with hands-on experience in advanced manufacturing, supporting CNC machining, process optimization, engineering documentation, and AI-assisted efficiency initiatives while working alongside senior engineering and production staff. The project will help develop the graduate’s practical engineering skills while supporting the company’s efforts to improve productivity, quality, and competitiveness.

Building up on the Firm's success in designing and developing an innovative, clean, lean, dry indoor vertical farming (IVF) system, and developing a unique, innovative "Zero-Touch" microgreen production technologies, which reduced the energy costs by 47X, with highest space use efficiency, zero-pesticides, zero-water wastage, zero-nutrient wastage, zero-produce wastage, and developing a multi-spectral imaging technology for quality and yield consistency monitoring, this project further advances the Firm's critical need to optimize the LED light spectral effects on microgreen yield and quality, develop non-chemical technologies for eliminating or minimizing any potential contamination, and develop an appropriate seeds for consistent yield and quality.