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AI Grants and Funding Available in Quebec for 2026

Across Quebec, organizations can access a dense ecosystem of artificial intelligence funding that supports research, technology adoption, skills, and commercialization. Programs range from Quebec ministry subsidies to federal grants and tax credits, with specific options for SMEs, corporates, and non‑profits. This directory outlines the main opportunities, eligibility patterns, and application practices to help you plan AI projects with confidence.

105 programs available

Frequently asked questions about AI grants in Quebec

Find clear answers to common questions about AI funding, eligibility, deadlines, and programs for SMEs, corporates, and non‑profits in Quebec.

What AI grants are available in Quebec for SMEs?

SMEs can access provincial programs for digital transformation and adoption, federal support like NRC IRAP, and cluster co‑funding such as Scale AI. They may also combine Mitacs internships and NSERC Alliance with Prompt Québec collaborations. RS&DE and the CDAE tax credits can complement grants when stacking rules allow. Review eligibility, match funding, and deadlines before applying.

How do I apply for AI funding in Quebec step by step?

Start with a clear problem statement and baseline KPIs. Select the right program stream (R&D, adoption, supply chain, workforce), build a realistic budget, and secure partner letters. Prepare IP and data governance terms, submit on time, and respond promptly to clarifications. Plan reporting and audit readiness from day one.

Which AI expenses are typically eligible?

Eligible costs often include salaries, subcontracting, software, cloud, GPU credits, compute hardware, data labeling, and training. Some programs allow commercialization, travel, and security/privacy costs. Always check caps, indirect cost rules, and documentation requirements.

Can I combine RS&DE with grants for AI projects?

Yes, many organizations stack RS&DE with grants, respecting stacking limits and avoiding double counting. Align time tracking and cost attribution to separate claimed work. Keep clear audit trails and coordinate with finance to maximize non‑dilutive support.

What are common AI grant evaluation criteria?

Review panels consider technical merit, team capacity, market impact, data governance, responsible AI, and measurable KPIs. Risk mitigation, partner commitment, and clear budgets improve scores. Include a pilot‑to‑scale plan and post‑award reporting approach.

Are GPU purchases and cloud credits eligible in Quebec AI programs?

Some programs accept GPU hardware and cloud/GPU credits when essential to the project scope and justified. Provide vendor quotes, workload estimates, and cost controls. Confirm eligibility, caps, and depreciation rules for equipment.

What is the difference between adoption and R&D AI funding?

Adoption support focuses on implementing proven AI tools, integration, training, and change management. R&D funding targets experimental development, new algorithms, and higher technical risk. Many roadmaps combine both streams across phases.

How long do AI grant decisions take in Quebec?

Timelines vary by program and call volume. Expect several weeks to a few months, with longer cycles for consortium projects. Build buffers in your plan and avoid committing to fixed start dates before approval.

Can nonprofits and public institutions access AI funding?

Yes, many programs support hospitals, municipalities, colleges (CCTT), universities, and nonprofits, especially for pilots and applied research. Eligibility and match ratios differ, so review program guides carefully.

What documents are required for an AI grant application in Quebec?

Prepare an executive summary, technical plan, budget, and timeline. Add partner letters, IP and data‑sharing terms, risk management, and KPIs. Include evidence of match funding and a reporting plan aligned with program requirements.

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