Contribution: Industrial Research Assistance Program – Contributions to Firms
Factr Limited
$245,000.00
Machine Learning: AutoML Data Model Creation, Deployment & Management
FY 2024-25 · 2024-05-01
Summary
FactR is advancing & strengthening its ML/AI technology for the design & development of AutoML-based data model creation, deployment & management.
The Project objective is to improve how Enterprises aggregate data, automatically scan/index data of any type/source, instantly label, & gain data insights with an auto-deployed ML data models.
Department
Program
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (linked with high confidence)
Recipient
Location
Paris|Paris, Ontario, Canada
Recipient Type
For-profit organization
Business Number
723283289
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
As published
Agreement End Date
2025-03-31
Agreement Number
1018843
Agreement Start Date
2024-05-01
Agreement Title
Machine Learning: AutoML Data Model Creation, Deployment & Management
Agreement Title (French)
Apprentissage automatique : Création, déploiement et gestion de modèles de données AutoML
Agreement Type
Contribution
Agreement Value
$245,000.00
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
FactR is advancing & strengthening its ML/AI technology for the design & development of AutoML-based data model creation, deployment & management.
The Project objective is to improve how Enterprises aggregate data, automatically scan/index data of any type/source, instantly label, & gain data insights with an auto-deployed ML data models.
Description (French)
FactR fait progresser et renforce sa technologie ML/AI pour la conception et le développement de la création, du déploiement et de la gestion de modèles de données basés sur AutoML. L’objectif du projet est d’améliorer la façon dont les entreprises agrègent les données, scannent/indexent automatiquement les données de tout type/source, étiquettent instantanément et obtiennent des informations sur les données grâce à des modèles de données ML autodéployés.
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
Brantford--Brant
Federal Riding (French)
Brantford--Brant
Federal Riding Number
35013
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
723283289
Recipient City
Paris|Paris
Recipient Country
CA
Recipient Legal Name
Factr Limited
Recipient Operating Name
FactR
Recipient Postal Code
N3L 0A8
Recipient Province or Territory
ON
Recipient Type
F
Reference Number
172-2024-2025-Q1-1018843
