Grants and Contributions

The project will test AI strategies for agricultural crops.

This project aims to develop and validate a novel platform for laser-assisted targeted drug delivery using LMI's proprietary picosecond mid-infrared laser technology. This technology enables precise ablation of tissues and when coupled to a microfluidic drug channel, the optic probe can deliver localized therapeutics with high resolution and minimal invasiveness. LMI holds foundational IP specific to this application covering fiberoptic laser-drug delivery systems in addition to the original core IP portfolio covering the unique laser tissue interaction. The platform will be validated in, phantom tissue, ex vivo and animal models, focusing on applications in high-value organ systems: prostate, brain, lung, and pancreas.

The purpose of this project is to automate certain parts of an internal process with the help of artificial intelligence

This project involves designing a custom pediatric walker to integrate with Trexo Robotics’ exoskeleton. It includes developing mechanical, electrical, and software enhancements that can benefit both current and future product configurations.

In-house capability to produce two integrated microfluidic discs (Clinical Chemistry, Immunoassay) that meet required specifications and reproducibility.

The objective of this project is to research, design, and validate the next generation of Firm's integrated platform for laundry management and partner enablement. This will involve advancing the technical architecture to achieve high scalability, fault-tolerance, automation of mission-critical workflows, multi-location operational control, and advanced performance analytics. The resulting system will serve as the technical foundation for future innovations including AI-driven customer segmentation, dynamic pricing algorithms, image recognition for item classification, and predictive demand forecasting - enabling LaundryWell to maintain a leadership position in Canada and expand into new global markets.

Winboxer is an innovative personalized and secure email visualization and management tool designed to transform email experience using Artificial Intelligence (AI) and Machine Learning (ML) to reduce spam and known malware while increasing user’s productivity. In addition to safely channel legitimate emails, this tool provides real-time cyber threat intelligence by detecting phishing emails and business emails compromise (BEC) exploits by scanning inboxes, quarantining nefarious and suspicious emails by visually depicting them as harmful to prevent reflex engagement. Winboxer delivers advanced and comprehensive analytics and offers actionable recommendations to manage emails efficiently while reducing spams.

Develop a plant-based, slow-release rodent deterrent for reforestation seedpods, extending protection from 5 weeks to 16 weeks and reducing seed damage by up to 50% in coastal forest conditions.

The project supports the development of an AI-powered strategic planning platform that transforms organizational planning from months-long consultant-dependent processes into hours-long guided experiences. The platform uses compound AI systems including LLMs, speech-to-text, and recommender algorithms to help nonprofits, SMEs, and consultants create, implement, and track strategic plans.

Establish key metrics, data pipelines and models to be used to provide accurate financial well stress indicator that can be integrated trough various SAAS modules.