§ Resources · AI Funding Canada

The Canadian AI Funding Guide

SR&ED, IRAP, ESSOR, Scale AI, Mitacs — there's more money available for Canadian AI projects than most teams realize. Here's how to find and access what you qualify for.

Federal programsQuebec programsEligibility quizStacking strategies

Most Canadian businesses are sitting on money they don't know exists.

Between federal tax credits, Quebec grants, and BDC financing, there are real dollars available for teams adopting AI — whether you're building something new or implementing tools that already exist. The problem isn't access. It's that nobody has explained it clearly.

I put this together because I keep having the same conversation with marketing and business leaders in Montreal: they assume funding is only for tech startups doing deep R&D. It's not. If you're using AI to automate workflows, improve reporting, or train your team — there's likely a program for you.

Not sure where to start?

Use the eligibility quiz below to get a personalized match — takes under 2 minutes.

§ Eligibility Quiz
Find your best-fit programs

Answer 6 quick questions and I'll match you to the Canadian AI funding programs most relevant to your situation — federal, Quebec, and everything in between.

  • Takes under 2 minutes
  • Covers SR&ED, IRAP, ESSOR, Mitacs, Scale AI, and more
  • Personalized to your province, team size, and project type

Federal Programs

Available to registered Canadian businesses across all provinces.

SR&ED — Scientific Research & Experimental Development

Type
Tax Credit
Amount
35% refundable on eligible expenses
Eligible
All Canadian corporations
Best for
Custom AI development, experimental work, technical uncertainty

The granddaddy of Canadian innovation funding, and it got significantly better in 2026. The expenditure limit doubled to $6M, and capital costs are now eligible again.

The key question with SR&ED is whether your work creates new technical knowledge — not just uses existing tools. If you're implementing ChatGPT with a custom system prompt, that's probably not SR&ED. If you're building a proprietary model, fine-tuning on your data, or developing a new AI-powered process where the outcome isn't guaranteed, you likely qualify.

How to apply
  1. Document your technical uncertainties throughout the project — meeting notes, code logs, design decisions, failed experiments
  2. Calculate eligible expenses: salaries, 55% overhead on qualifying salaries, materials, subcontractor fees (80%)
  3. File Form T661 with your corporate tax return within 18 months of your fiscal year-end
  4. New for 2026: pre-claim approval lets you confirm eligibility before filing, cutting review time from 180 to 90 days
Timeline: 4–8 months from filing to refund. Up to 12 months if audited.
Qualifying AI expenses: Developer salaries, cloud compute for model training, GPU rentals, materials consumed in experimentation. Not qualifying: off-the-shelf software implementation, standard employee training, marketing costs.
Common rejection reason: Describing what you built rather than what technical problem you didn't know how to solve. SR&ED requires documented uncertainty — not just effort.
Example

A SaaS company spent 6 months building a recommendation engine, testing three different collaborative filtering approaches before landing on a hybrid deep learning model. No guaranteed outcome, documented experiments, novel technical challenge. Claim: $180K in salaries + $25K cloud compute. Refund at 35%: ~$68K.

Canada Revenue Agency — SR&ED ↗

IRAP — Industrial Research Assistance Program

Type
Grant + Advisory
Amount
$75K–$200K first-time; up to $10M for larger projects
Eligible
SMEs (under 500 employees)
Best for
Technical R&D, AI product development, growing tech teams

NRC IRAP is one of the most underused programs in Canada. Non-repayable funding, covers up to 80% of salary costs and 50% of subcontractors. In 2026 they launched a dedicated AI Assist stream with $100M over five years.

How to apply
  1. Find your regional NRC-IRAP advisor (free, no commitment)
  2. Prepare a project proposal: business problem, AI approach, team, timeline, budget
  3. Submit through NRC portal — decision in 4–6 weeks
  4. Get reimbursed monthly or quarterly as you spend
Timeline: 4 months to first payment, ongoing disbursements throughout project.
Qualifying AI expenses: Salaries (80% covered), subcontractor fees (80%), equipment specific to the project, software licenses acquired for it. Not qualifying: overhead, general training, marketing.
Common rejection reason: Scope too vague. 'Improve operations with AI' won't fly. 'Build an anomaly detection model for manufacturing sensors to reduce downtime by 15%' will.
Example

A 50-person manufacturer proposed a computer vision system for predictive maintenance. Team: 1 ML engineer ($90K) + 1 manufacturing engineer ($70K) + $40K subcontractor. IRAP covered 80% of salaries = $128K non-repayable. Their co-investment: $72K.

NRC IRAP ↗

BDC — Data to AI Program

Type
Soft Loan
Amount
Up to $5M, up to 8 years to repay
Eligible
All Canadian businesses
Best for
Technology adoption, digital transformation, AI infrastructure

Not a grant — a loan. But worth knowing because it covers things grants don't: consulting fees, software acquisition, implementation costs. Up to $5M, up to 8 years to repay. If you're doing a serious AI implementation and need capital to fund it, cleaner than a traditional business loan.

BDC Data to AI ↗

Scale AI Supercluster

Type
Matching Grant
Amount
Up to 40% of eligible expenses; up to $1M for training programs
Eligible
Businesses in supply chain, logistics, operations
Best for
Collaborative AI projects, employee AI training, industry consortia

Montreal-based innovation supercluster. Multiple funding streams including an AI Training Program (up to $1M per company) and industry-led project funding covering up to 40% of eligible expenses. Projects need to be collaborative — multiple stakeholders involved.

Check current intake status before applying.

Scale AI ↗

Mitacs Accelerate

Type
Subsidized Research Partnership
Amount
$15,000 per 4–6 month internship (enhanced for AI projects)
Eligible
Any business partnering with a Canadian university
Best for
AI research, custom model development, academic collaboration

Connects your business with university AI researchers. $15,000 per 4–6 month internship, with enhanced funding for AI projects. Lower dollar amounts but a good way to get research capacity without hiring full-time.

Mitacs ↗

CDAP — Canada Digital Adoption Program

Gone.Budget 2025 killed it with no announced successor. If you're still looking for CDAP, stop — redirect that energy toward IRAP or provincial programs.

Quebec Programs

Quebec has built one of the richest AI funding ecosystems in North America — a deliberate strategy to attract and retain talent and businesses in the province.

ESSOR — Investissement Québec

Type
Grant (50% reimbursement)
Amount
$10K–$50K per component; multiple components available
Eligible
Quebec businesses (most sectors)
Best for
AI adoption, digital diagnostics, implementation projects

Quebec's most accessible grant for AI adoption. Three components depending on where you are: feasibility studies ($20K–$50K), digital diagnostics ($10K–$20K), and digital implementation ($20K–$50K). Stream 1 is open through March 2027. Explicitly covers recommendation engines, predictive models, computer vision, AI-powered SaaS.

How to apply
  1. Start with Component 1B (digital diagnostic): hire a qualified consultant, claim 50% back
  2. Use diagnostic output to build an implementation proposal
  3. Submit to Investissement Québec — 4–8 week decision
  4. Execute and submit invoices for reimbursement at 50%
Timeline: 3–4 months from start to first payment.
Example

A Quebec retail chain did a $18K diagnostic (received $9K grant). Diagnostic recommended AI inventory forecasting. Implementation budget: $45K. ESSOR covered $22.5K. Result: 18% inventory reduction, $400K annual savings.

Investissement Québec ↗

CDAEIA Tax Credit

Type
Wage Subsidy
Amount
30% of eligible salaries (22% refundable, 8% non-refundable)
Eligible
Quebec corporations with employees doing AI work
Best for
Hiring analysts, developers, or AI integration specialists

Quebec's AI-focused evolution of the former e-business tax credit. 30% of eligible salaries — 22% refundable, 8% non-refundable. Applies to fiscal years starting after December 31, 2025. If you have Quebec employees working on AI projects, this is money sitting in your tax return.

Track employee time on eligible AI work throughout the year. Claim on your Quebec corporate tax return. Works cleanest with a tax specialist who knows the program.

Example

A Quebec fintech (15 employees) built an AI loan assessment system. 8 employees contributed, $1.2M eligible salary pool. CDAEIA at 30% = $360K. Refundable portion: $264K back in cash.

Quebec Ministry of Economy ↗

PROMPT — Collaborative Innovation

Type
Research Partnership Grant
Amount
Up to $500K/year; dedicated PARTENAR-IA stream for AI
Eligible
Quebec companies partnering with Quebec research centres
Best for
Applied AI R&D, academic collaboration, proof-of-concept work

Quebec's research partnership fund. Up to $500K/year for collaborative AI projects. Dedicated PARTENAR-IA stream for AI development and commercialization. Requires partnering with a research center. If you're doing anything at the R&D end of AI, worth the process.

PROMPT Innov ↗

Can you stack these programs?

Yes — and you should. The savviest companies combine multiple programs to cover different expense types. Here's how it works.

The core rule:The same dollar cannot be claimed in two programs. But different programs cover different things — salaries, overhead, implementation costs, training — so they naturally complement each other. Watch two caps: federal programs combined cannot exceed 75% of your total eligible costs; Quebec's ESSOR caps cumulative government aid at 80%.

SR&ED + IRAP
Most common

IRAP covers 80% of salaries as you go. SR&ED covers overhead and materials retrospectively. Example: $400K AI R&D project. IRAP covers $280K (salaries). SR&ED claims $120K (overhead + materials) and returns $42K at 35%. Total government support: $322K. Your co-investment: $78K. Note: IRAP funding is "government assistance" and reduces your SR&ED eligible base dollar-for-dollar — track carefully with an accountant.

ESSOR + CDAEIA
Quebec

ESSOR covers 50% of implementation costs. CDAEIA covers 30% of salaries on the same project. Different expense categories — they layer cleanly. Example: $100K implementation project + $160K in employee salaries. ESSOR: $50K. CDAEIA: $48K. Total government support: $98K on a $260K project.

IRAP + ESSOR
Sequential

Use IRAP for R&D phase (build it). Use ESSOR for the Quebec deployment phase (roll it out). Clean sequential logic, different expense types, no overlap.

SR&ED + CDAEIA
Quebec + custom development

CDAEIA claims 30% of qualifying AI staff wages. SR&ED claims the R&D overhead and remaining eligible costs on the same project. Different portions of the same work — both apply.


Frequently asked questions

Does buying AI software qualify for SR&ED?

If you're using it as-is, no. If you're building custom AI on top of it — fine-tuning, developing novel processes, solving a technical problem that isn't guaranteed to work — yes. The key is engineering effort and documented uncertainty, not the software itself.

Can a marketing agency claim IRAP funding?

Only if you're building proprietary AI tools — a custom attribution model, a demand forecasting engine, something novel. Using existing tools to deliver client work doesn't qualify. The distinction: Are you doing R&D to build something, or using tools to deliver a service?

What AI expenses are tax deductible in Canada?

Almost everything: software licences, cloud costs, consultant fees, training. The distinction is between deductible (reduces taxable income) and SR&ED-eligible (generates a cash refund on top of deduction). Maximize SR&ED first — it's more valuable. Deduct the rest normally.

How long does SR&ED take to get paid?

60 days if accepted, up to 180 days if audited (90 days with new pre-claim approval). In practice: expect 4–6 months. If you need money faster, IRAP or Quebec grants pay during the project.

Is ChatGPT implementation eligible for grants?

Plugging in a ChatGPT API? No. Building a custom solution where GPT is one component of novel work with documented uncertainty? Possibly SR&ED or IRAP eligible. The bar is effort and uncertainty, not the technology stack.

Can I get funding for AI employee training?

Yes. Scale AI (when open) funds custom training programs. ESSOR covers training as part of implementation. IRAP can include training if it's project-specific. Standard training costs are deductible regardless.

What's the difference between IRAP and SR&ED?

IRAP is a grant — upfront, non-repayable, paid as you go, requires an application and NRC advisor. SR&ED is a tax credit — filed with your return, covers broader expenses, paid months later. Use both: IRAP funds the people doing the work, SR&ED refunds you for what you spent.

Do I need a consultant for SR&ED?

No, but first-timers usually benefit from one. A $2K–$5K advisor fee often uncovers $20K–$100K+ in eligible work you'd otherwise miss. Worth it once.

Can I claim both federal and Quebec grants?

Yes — that's the whole stacking strategy. Watch cumulative caps (75% federal, 80% Quebec), don't double-claim the same expense, and make sure IRAP funding is disclosed on your SR&ED form.

What happens if my SR&ED claim gets audited?

CRA asks for documentation: project timelines, expense records, meeting notes, code history. Most audits end in a negotiated settlement — you keep 70–90% of what you claimed. Poor documentation is the main reason claims get reduced. Don't panic, do get professional help if it happens.

Is there funding for AI consulting fees?

ESSOR covers 50% of consulting as part of implementation. SR&ED and IRAP cover contractor fees if they're doing the technical R&D work. Pure advisory consulting (telling you what to do) is deductible but rarely grant-eligible on its own.

How do I know if my project qualifies for IRAP?

Contact your regional NRC-IRAP advisor for a free preliminary assessment — no fee, no obligation, answer within a week. Ask yourself first: Is there genuine technical uncertainty? Commercial value? Can it be done in 12–24 months with a real budget? If yes to all three, it's worth the call.


Where to start

Five steps. No fluff.

01
Estimate your spending.
2 days

Rough spreadsheet: who's working on AI, at what salary, for how long? What software, cloud costs, consultants? This determines which programs are worth pursuing.

02
Match your situation to the right program.

Building new AI internally → SR&ED + IRAP. Implementing existing solutions in Quebec → ESSOR + CDAEIA. Need capital for a large rollout → BDC Data to AI. Want to train employees → Scale AI or Mitacs.

03
Get a free preliminary review.
Week 1

NRC-IRAP advisor: free, no commitment. Investissement Québec consultant: same. SR&ED specialist: most offer a free 30-min chat. Don't guess — these conversations cost nothing and save months.

04
File the easy one first.

SR&ED has no application process — just claim it on your next tax return. CDAEIA same. File both while you're pursuing grant applications.

05
Apply for upfront funding.
Weeks 4–8

IRAP: 1–2 page project summary to your NRC advisor. ESSOR: portal submission. BDC: online application. All have 4–6 week decision timelines. These programs are meant to be accessible.

Last updated: April 2026. Funding programs change — always verify directly with the program before applying. I update this page quarterly.

DZ
David's Digital Twin
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DZ
Hi — I'm David's AI twin. I've read all his writing and know his professional background well. Ask me anything about his work in media or AI.
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