15 records totalling $4,991,000.00 CAD, from official Government of Canada open data.
| National Research Council Canada | $3,403,000 | 13 records |
| Federal Economic Development Agency for Southern Ontario | $1,588,000 | 2 records |
Lytica is looking to scale up its supply chain analytics platform through SaaS products that leverage artificial intelligence.
This project enables development and commercialization of capabilities to enable: (1) the prediction of long-term risk to electronic component availability, (2) managed access to component manufacture...
This project enables development and commercialization of two supply chain analysis plugins. These help electronic product manufactures increase supplier negotiation leverage and make meaningful produ...
RRRF funding will be used to support Recipients to address the impacts of the COVID-19 pandemic.
The automotive industry is increasingly transitioning to electronic cars and autonomous vehicles. Current component data sources relevant to this expanding market are limited and lacking integrity to...
This project enables development of supply chain risk metrics and risk determination algorithms. It also enables the commercialization of a feature on risk and price market trends in at least one of L...
This project uses AI to create a comprehensive information source on function, price competitiveness, security of supply, compliance and other attributes of and for electronic components and their man...
Project Summary: Project to investigate and implement market price distribution models for e-components regardless of the amount of sample data available.
This project will test hypotheses and experiment with new mechanisms to design (or optimize) a repeatable and scalable business process, which may result in new business methods for the Firm’s electro...
This project uses generative AI to enable the reading of technical information contained in electronic component datasheets into a usable digital format.
This project uses artificial intelligence in the form of machine learning and LLM's to fill in gaps in a data array of electronic component manufacturers’ part numbers using the intelligence built int...
The project will look into the feasibility of creating a framework tool that supports the development of a supplier intelligence data pipeline methodology to enable reliable sourcing activities with n...
The proposed research project will gauge the feasibility and develop the MVP of a geospatial dependency-mapping and forecasting platform for the electronic components market.
This project creates the process for Lytica to determine the country of origin of an electronic component from its manufacturing part number.