SR AI Inc.: federal grants and contributions

Updated 12 October 2026 · Toronto|Toronto, ON · grants and contributions register · University–Rosedale

SR AI Inc.: federal grants and contributions: 5 agreements; $1.7M value; 2 departments; 4 programs.

Assay record ASY-CA-0BE6G1S0IH · Cite as: Assay Systems, “SR AI Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/sr-ai-inc/

$
5agreements
$1.7Mvalue
2departments
4programs

Largest agreements

1018658$1.2Mvalue2025start2026end

To develop, market and commercialize its artificial intelligence (AI)-powered investment management platform to help financial institutions improve their productivity and portfolio management.

AI-Driven Scenario Analysis for Smart Portfolio Construction$250Kvalue2026start2026end

This project will develop new AI capabilities for scenario analysis used in portfolio construction and fundamental investment research. Institutional investors must evaluate how economic shifts, technological change, and company developments may affect business value and portfolio risk, yet existing tools require analysts to manually construct forecasts and modify complex financial models. The project will research and build technology that converts natural language investment questions into structured financial scenarios, automatically estimating impacts on key business drivers such as re

Improving deployment, reliability, and scalability of Sibli technology for enterprise clients$150Kvalue2025start2025end

Institutional investors leverage Sibli technology to gain an information advantage, reduce blind spots, and improve performance by processing unstructured data, identifying key insights, and delivering them to portfolio managers and analysts. This empowers better investment decisions by defining and monitoring trends and events like supply chain disruptions, product launches, and competitive pressures. The project objective is to build on the prototype and products developed to date and create a modular platform that can be easily deployed into client environment to support various investment

Sibli AI investment research platform prototype$75.0Kvalue2024start2024end

Institutional investors leverage Sibli technology to gain an information advantage, reduce blind spots, and improve performance by processing unstructured data, identifying key insights, and delivering them to portfolio managers and analysts. This empowers better investment decisions by defining and monitoring trends and events like supply chain disruptions, product launches, and competitive pressures. The objective over the next year is to develop a platform that can provide investors with timely information linked to their theses and research processes. This requires the creation of custom

SR AI Inc.-2025-2026-1035114$15.0Kvalue2025start2026end

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

Departments

Federal Economic Development Agency for Southern Ontario1agreements$1.2Mvalue1programs
  • Regional Artificial Intelligence Initiative (RAII)

All grants from Federal Economic Development Agency for Southern Ontario

National Research Council Canada4agreements$490Kvalue3programs
  • Industrial Research Assistance Program
  • Industrial Research Assistance Program – Contributions to Firms
  • CanExport SME

All grants from National Research Council Canada

Years

20261agreements$250Kvalue1programs
  • Industrial Research Assistance Program
20253agreements$1.4Mvalue3programs
  • Regional Artificial Intelligence Initiative (RAII)
  • Industrial Research Assistance Program – Contributions to Firms
  • CanExport SME
20241agreements$75.0Kvalue1programs
  • Industrial Research Assistance Program – Contributions to Firms

Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.