Contribution: Industrial Research Assistance Program – Contributions to Firms
Unisystech Consulting Inc.
$250,000.00
Kabu - Phase 1
EF 2024-25 · 2025-01-20
Résumé
Unisystech Consulting Inc. is undertaking Phase 1 of a broader program to develop an AI-driven fraud detection system. This initial phase focuses on research and development of advanced machine learning models to establish a foundation for accurate and scalable fraud detection capabilities. The project emphasizes designing innovative algorithms tailored to financial security challenges while adhering to global data privacy standards.
Ministère
Programme
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (lien de confiance élevée)
Bénéficiaire
Emplacement
North York|North York, Ontario, Canada
Type de bénéficiaire
For-profit organization
Numéro d'entreprise
847013927
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
Tel que publié
Agreement End Date
2025-03-31
Agreement Number
1026770
Agreement Start Date
2025-01-20
Agreement Title
Kabu - Phase 1
Agreement Title (French)
Kabu - Phase 1
Agreement Type
Contribution
Agreement Value
$250,000.00
Amendment Number
0
Coverage
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation. | Les projets des Contributions aux entreprises stimulent la création de richesse au Canada grâce à l’innovation technologique.
Description
Unisystech Consulting Inc. is undertaking Phase 1 of a broader program to develop an AI-driven fraud detection system. This initial phase focuses on research and development of advanced machine learning models to establish a foundation for accurate and scalable fraud detection capabilities. The project emphasizes designing innovative algorithms tailored to financial security challenges while adhering to global data privacy standards.
Description (French)
Unisystech Consulting Inc. entreprend la phase 1 d’un programme plus vaste visant à développer un système de détection des fraudes reposant sur l’IA. Cette phase initiale se concentre sur la recherche et le développement de modèles avancés d’apprentissage automatique afin d’établir une base pour des capacités de détection des fraudes précises et évolutives. Le projet met l’accent sur la conception d’algorithmes innovants adaptés aux défis de la sécurité financière tout en respectant les normes mondiales de confidentialité des données.
Expected Results
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Expected Results (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Federal Riding
Willowdale
Federal Riding (French)
Willowdale
Federal Riding Number
35115
NAICS Code
511211
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Industrial Research Assistance Program – Contributions to Firms
Program Name (French)
Programme d’aide à la recherche industrielle – Contributions aux entreprises
Program Purpose
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Program Purpose (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Recipient Business Number
847013927
Recipient City
North York|North York
Recipient Country
CA
Recipient Legal Name
Unisystech Consulting Inc.
Recipient Postal Code
M2N 0G3
Recipient Province or Territory
ON
Recipient Type
F
Reference Number
172-2024-2025-Q4-1026770
