Title:
Building a software platform to automate the creation of economic models
Agreement Number:
1034170
Agreement Value:
$75,000.00
Agreement Date:
Sep 1, 2025 - Jun 30, 2026
Description:
This project aims to create an AI Asissted software environment for creating economic models using Limestone's proprietary unified cost-benefit analysis (UCBA) paradigm and automatically calculate the results and export the model and results in different formats (e.g., Excel, Word, PDF) for client submission.
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:
Kingston, Ontario, CA K7K 7L4
Reference Number:
172-2025-2026-Q2-1034170
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
785177692
Recipient Type:
For-profit organization
Recipient's Legal Name:
Limestone Analytics Inc.
Federal Riding Name:
Kingston and the Islands
Federal Riding Number:
35044
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.