Grants and Contributions:
Title:
Detection of data inaccuracies and duplication through machine learning
Agreement Number:
938110
Agreement Value:
$177,500.00
Agreement Date:
Nov 17, 2019 - Dec 31, 2020
Description:
This project will research and develop an innovative method of automating the detection of data inaccuracies and duplication.
Organization:
National Research Council Canada
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
Location:
Montreal, Quebec, CA H2T 2A4
Reference Number:
172-2019-2020-Q3-938110
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
813254380
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 153 days.
Amendment Date
Aug 12, 2020
Recipient's Operating Name:
Local Logic
Recipient's Legal Name:
Entreprise Nexmoov inc.
Federal Riding Name:
Outremont
Federal Riding Number:
24054
Program:
Industrial Research Assistance Program – Contributions to Firms
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
Coverage:
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.
NAICS Code:
541514
Amendments: