Contribution: Industrial Research Assistance Program – Contributions to Firms
0965688 B.C. LTD.
$172,000.00
Machine Learning Model for SAS to R Conversion in Pharmaceutical Industry
FY 2025-26 · 2025-08-01
Summary
This project is to develop an accurate automatic translation program for migrating SAS code to R. SAS is a legacy statistical software widely used in pharmaceutical, insurance, and financial sectors. R is an open-sourced statistical computing and data visualization programming language that can enable these modern functionality.
Department
Program
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (linked with high confidence)
Recipient
Location
Vancouver|Vancouver, British Columbia, Canada
Recipient Type
For-profit organization
Business Number
819116849
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
As published
Agreement End Date
2026-07-31
Agreement Number
1033612
Agreement Start Date
2025-08-01
Agreement Title
Machine Learning Model for SAS to R Conversion in Pharmaceutical Industry
Agreement Title (French)
Modèle d’apprentissage automatique pour la conversion de SAS vers R dans l’industrie pharmaceutique
Agreement Type
Contribution
Agreement Value
$172,000.00
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
This project is to develop an accurate automatic translation program for migrating SAS code to R. SAS is a legacy statistical software widely used in pharmaceutical, insurance, and financial sectors. R is an open-sourced statistical computing and data visualization programming language that can enable these modern functionality.
Description (French)
Ce projet vise à développer un programme de traduction automatique précis pour migrer le code SAS vers R. SAS est un logiciel statistique hérité largement utilisé dans les secteurs pharmaceutique, financier et des assurances. R est un langage de programmation en source ouverte pour le calcul statistique et la visualisation de données qui permet d’exploiter ces fonctionnalités modernes.
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
Vancouver Centre
Federal Riding (French)
Vancouver-Centre
Federal Riding Number
59034
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
819116849
Recipient City
Vancouver|Vancouver
Recipient Country
CA
Recipient Legal Name
0965688 B.C. LTD.
Recipient Operating Name
ProCogia
Recipient Postal Code
V6G 2V3
Recipient Province or Territory
BC
Recipient Type
F
Reference Number
172-2025-2026-Q2-1033612
