Title:
AI for Predictive Analysis Research, Development and Deployment
Agreement Number:
1035797
Agreement Value:
$250,000.00
Agreement Date:
Aug 4, 2025 - Mar 31, 2026
Description:
The goal of this project is to establish new world-class document analytics with extremely high accuracy that can empower professionals to identify facts and gather key information from documents so that they can more easily make quick and accurate decisions. SiftMed’s AI-based document analytics will classify documents and extract structured information to power investigative tools that provide meaningful insight into the content of medical documents.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
St. John's, Newfoundland & Labrador, CA A1C 1S9
Reference Number:
172-2025-2026-Q3-1035797
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
724083076
Recipient Type:
For-profit organization
Recipient's Operating Name:
Sift Med Inc
Recipient's Legal Name:
SiftMed Inc.
Federal Riding Name:
St. John's East
Federal Riding Number:
10006
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.