Canada SR&ED Tax Credit Programme 2026
Canada's Scientific Research and Experimental Development (SR&ED) tax credit is the country's largest AI R&D funding programme. Available to all Canadian companies performing AI research and development, SR&ED provides 15-35% refundable tax credits on eligible R&D expenses with no funding cap.
- Any Canadian corporation or individual performing R&D in Canada
- AI research and development addressing technological uncertainties
- Systematic investigation and experimentation approach (not routine engineering)
- Work performed in Canada by Canadian employees or contractors
- Proper documentation and contemporaneous records of R&D activities
- Identify eligible AI R&D projects from fiscal year
- Document technical uncertainties and systematic approach taken
- Calculate eligible expenditures (salaries, materials, contractors, overhead)
- Prepare SR&ED claim with Form T661 technical narrative
- Submit with corporate tax return (within 18 months of fiscal year-end)
- CRA may request additional documentation or conduct review
- Receive tax credit as refund or applied to taxes owing
- Credits typically processed within 120 days of filing
SR&ED is Canada's cornerstone R&D tax incentive programme, administered by the Canada Revenue Agency. For AI companies, SR&ED provides substantial tax relief for experimental development of new AI algorithms, models, and applications.
Eligible AI R&D activities include experimental development of novel machine learning algorithms and architectures, development of new AI training techniques or optimization methods, research into AI safety, fairness, and interpretability challenges, creation of new computer vision or NLP capabilities solving technical uncertainties, development of AI infrastructure requiring technical innovation (MLOps, serving systems), and applied research adapting existing AI to solve novel technical problems.
The programme provides 15% non-refundable tax credit for large corporations (revenue >$500M CAD), 35% refundable tax credit for Canadian-Controlled Private Corporations (CCPCs) on first $3M expenditures, and 15% refundable tax credit for CCPCs on expenditures above $3M. Refundable credits mean you receive cash even with no tax liability.
Eligible expenses include salaries of employees performing or supervising AI R&D (data scientists, ML engineers, researchers), materials consumed in R&D (cloud computing costs, datasets, compute clusters), 55% of contractor payments for AI R&D work, and overhead calculated at 55% of salaries or proxy method.
Applications require documenting technical uncertainties being addressed, systematic investigation and experimentation approach, technological advancement pursued, and contemporaneous records of R&D activities. SR&ED can be claimed retroactively for previous 2 years if R&D was performed but not claimed.
Frequently Asked Questions
Frequently Asked Questions
Product development qualifies if it involves experimental development to overcome technical uncertainties. Routine AI engineering (using existing frameworks without innovation) does not qualify, but developing novel AI capabilities, optimizing models beyond standard practice, or solving technical challenges does qualify.
Yes, cloud computing costs for AI training and experimentation are eligible as materials consumed in R&D. This includes AWS, GCP, Azure costs for compute, storage, and AI services used specifically for R&D activities. Production/deployment costs are not eligible.
Failed projects are still eligible for SR&ED if you addressed technological uncertainties through systematic investigation. SR&ED rewards the process of experimental development, not just successful outcomes. Document what you tried, why, and what you learned.
Yes, you can file amended returns to claim SR&ED for the previous 2 fiscal years if you performed qualifying R&D but didn't claim it. This is common for AI startups that didn't realize their development work qualified for SR&ED.
- •SR&ED Claim Preparation for AI Companies
- •Documenting AI R&D for Tax Credits
- •Technical Uncertainty and Systematic Investigation
- •SR&ED Financial Records and Eligible Expenditures
- •SR&ED Review Process and CRA Audits
- •Maximizing SR&ED Credits for Machine Learning R&D
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