Grants and Contributions

This project is focused on developing the processes and capacity to produce cannulae at Ecmius facility in Calgary. Cannulae are an essential part of the ECLS systems that Ecmius has been developing, serving as a means of blood removal and return to the body. The project focuses on the developing processes, resources and personnel support to scale up manufacturing processes and production capacity.

The project will support pilot testing of AI strategies, determine target architecture, and set quantitative technical objectives for implementing an AI solution in livestock feed management.

The proliferation of Large Language Models (LLMs) makes it possible for applications to be built that access those models and know as "intelligent applications" These applications will have wide ranging utility to streamline workflow and automate routine processes. The intelligence of the pre-trained data LLMs makes it possible to incorporate unstructured data and natural language

This project will result in the first application development environment for users to build intelligent applications based on LLMs and other unstructured data sources. The Versos platform will expose a range of services, sometimes referred to as endpoints, through an API. Users will access these "services" to accelerate the building of intelligent applications

We are engaging a design and marketing professional to support the development and execution of our 2025 marketing strategy. This role will focus on implementing creative and impactful campaigns to drive growth, with a primary emphasis on expanding our B2B operations. Key responsibilities include developing innovative marketing materials, enhancing brand presence, and fostering engagement with business clients to strengthen relationships and boost acquisition efforts. This initiative is a critical component of our broader business development strategy for 2025, aimed at achieving sustainable growth and market leadership.

Audit and preparation of data architecture to create foundation for machine learning model for competitive pricing system.

This project focuses on enhancing in-game data collection by
modifying the existing system to track and send detailed utility
usage data to a desktop application. The collected data will
include coordinates, timestamps, and affected players, which
will be sent after each round. The state management system
will be refactored to store historic game events per player and
match, initially using local storage with future plans for
database synchronization. React components will be
developed to visually represent different utilities and their
effects using SVG graphics, while Typescript hooks will
facilitate flexible data querying. Finally, the map interfaces will
be updated to show round-specific highlights and post-game
analysis, ta

As part of EUREKA - Clusters ITEA Program, the project "ITEA - 23042 - AIDESL - Fully Automated AI Data Extraction from Scientific Literature" seeks to work globally with11 partners across 6 countries to establish methodological standards for AI LLM’s use to reduce the time it takes to complete a systematic literature review (SLR), accelerate time to market impact of SLRs use for regulatory submissions, and lower reviewer fatigue and burnout from their overall manual conduct of SLRs. The Firm will specifically assist in the partnership via three work packages: development of AI and LLM techniques for SLR; integration, demonstration, and evaluation of no code/low code LLM in the pharmaceutical environment; and exploitation and standardization of project management of the consortium.

This project seeks to support the creation of enterprise-ready scalable infrastructure for multi-agent systems to unlock growth and deployment potential.

The project will finance the development of the firm’s intellectual property capacity.

Phycus is advancing its innovative glycolic acid fermentation technology to support sustainable industrial applications in personal care, textiles, plastic films, coatings, and adhesives. This project focuses on improving process efficiency and scaling production in commercial-sized bioreactors, with the aim of enhancing product economics and reducing costs. Funding will accelerate the development and deployment of this technology, driving growth and supporting a transition to more sustainable manufacturing practices.