Syntra Refining Corp.

$530,063.00 CAD

≈ 7 Canadians' average pay for a year
Department
National Research Council Canada
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Recipient country
Canada
Fiscal year
2025-2026
Agreement period
January 26, 2026 – March 31, 2027
Reference
nrc-cnrc:172-2025-2026-Q4-1039736

Published purpose

The Project focuses on two strategic activities to enhance the operational capabilities of the CBMI AI-guided processing acceleration platform (PAP) for critical mineral extraction. The first activity involves creating a comprehensive and high-quality industrial-level dataset that documents process parameters, aiding in the development of AI models and controllers for mineral processing. The Recipient will contribute their expertise in sustainable lithium-ion battery technology and mineral processing to generate this dataset. The second activity targets optimizing mineral processing through AI models, which will automate parameter adjustments, reduce costs, and improve efficiency. These AI-driven solutions will enhance process control and contribute to the SDL's development, aligning with CBMI's objectives. The team brings expertise in materials discovery and process optimization to the Project.

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View official source record Imported July 30, 2026 from open.canada.ca Grants & Contributions