Lytica Inc.: federal grants and contributions: 15 agreements; $5.0M value; 2 departments; 5 programs.
Assay record ASY-CA-0GM0R8G17U · Cite as: Assay Systems, “Lytica Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/lytica-inc/
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 manufacturers’ sustainability programs, and (3) “Green Score” rating of a customer’s Bills of Materials
This project enables development and commercialization of two supply chain analysis plugins. These help electronic product manufactures increase supplier negotiation leverage and make meaningful productivity improvements in their sourcing processes.
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 meet the stringent standards and intricacies of the connected car industry. Our project will focus on technology advancement to address the market need for timely and accurate information including the reliability and safety of components used in connected cars. Our comprehensive database will use enhanced datasheet extraction and parametric matching to meet connected vehicle standards; quality pa
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 Lytica’s existing SupplyLens Pro products.
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 manufacturers for use by designers and supply chain professionals.
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 electronic component spend analytics and risk intelligence solution.
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 into the part numbers, knowledge of their parametrics and attributes to address incomplete groupings of millions of components.
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 new electronic product designs and the ongoing maintenance of supplier risk. This will deliver prototypes for validation to a few target SMEs to support faster sourcing decisions and assess potential supply chain risks.
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.
All grants from Federal Economic Development Agency for Southern Ontario
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.