Larus Technologies Corporation: federal grants and contributions: 15 agreements; $3.9M value; 2 departments; 5 programs.
Assay record ASY-CA-0YIW2M20D0 · Cite as: Assay Systems, “Larus Technologies Corporation: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/larus-technologies-corporation/
To position the firm as a leader in artificial intelligence (AI)-powered software-as-a-service solution for business optimization by investing in developing and commercializing a cloud-based machine learning-driven pipeline.
This project advances the commercialization of an AI‑enabled assistant that transforms natural language into structured, executable scenarios for simulation, training, and decision‑support environments. The work focuses on improving reliability, performance, and integration to enable deployment at scale.
A project to build a more interactive and user-friendly front-end to the firms simulation suite of tools.
The firm aims to develop an AI/ML-based commercial solution for trade promotion and other retail analytics to deploy within an existing customer-driven analytics pipeline to obtain market validation and acquire new sales prospects.
Total::Perception Systems Simulation Engine (SSE) supports modeling and simulation of space, surface, ground and air platforms in real-time, rapid-time, offline and online position update modes, and is used to perform Intelligence, Surveillance and Reconnaissance (ISR) experimental and planning endeavours. Total::Perception supports a host of sensor models on stationary as well as air, ground, space and mobile platforms. In this project, we concentrate on the challenges inherent in applying the concepts of Machine Learning (ML) and Artificial Intelligence (AI) to the problem of sovereignty
The firm is exploring how to best package up interfaces that will makes its underlying product more simpler to embed in third party products catering to key market segments in and beyond the defense sector.
AI/ML Innovation for projects being completed for the Canadian Armed Forces.
Trade promotions by the manufacturers assume a variety of forms such as temporary price reductions, loyalty points, rebates, features, and displays at retailers that carry manufacturer’s products. The trade promotion planning problem has long been recognized by manufacturers and academic researchers. However, the progress has been constrained until recent years because of various complexities as well as limitations of existing data infrastructure and Analytics technology. This project involves developing data curation processes and pipelines in order to better assess and understand the data e
The Youth Hire will be assigned to build out key AI elements in the Larus portfolio of software products.
This project is under the Larus Technologies Research and Engineering team focusing on innovations in Artificial Intelligence (AI), Machine Learning (ML) and Big Data Analytics (BDA).
Project is for a full time youth hire in the position of a junior project manager/coordinator who will be working in the Project Management office supporting the PMO with planning, executing, and delivering software and AI-driven projects, process and security compliance.
The project will support development of intellectual property capacity within the firm.
The Project will support development of intellectual property capacity within the Firm.
Define sales channel for Larus analytic products & expertise in the defence, security, and safety markets through meetings and demonstration of Larus Total::Insight product and AI/ML service capabilities in the UAE market
The project will support development of intellectual property capacity within the firm.
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.