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🤖 Digital & AI Innovation Grants

Canada Digital & AI Innovation Grants 2026

Access $850M+ in digital and AI innovation funding through 25+ federal and provincial programs. From Scale AI supercluster to CDAP digital adoption - accelerate your artificial intelligence, digital transformation, and software innovation initiatives.

Explore AI ProgramsBack to Innovation Grants
$850M+
AI Funding Available
25+
Active AI Programs
$230M
Scale AI Investment
$15K
CDAP Digital Grant

Major Digital & AI Programs

Scale AI - AI-Powered Supply Chains Supercluster
Up to $5M+
AI Supply Chain
Collaborative

Canada's AI Supercluster providing funding for projects applying AI to supply chains, logistics, manufacturing, and retail operations across industries.

AI Applications:
  • • Predictive analytics and forecasting
  • • Computer vision and quality control
  • • Natural language processing
  • • Autonomous systems and robotics
Funding Support:
  • • Up to 50% of eligible project costs
  • • Consortium partnerships required
  • • Scale-up and commercialization focus
  • • Skills development included
CDAP - Canada Digital Adoption Program
$15K + $100K Loan
Digital Tools
Quick Access

Support for SMEs adopting digital technologies including AI tools, cloud platforms, e-commerce systems, and digital marketing solutions.

Digital Solutions:
  • • AI-powered business tools
  • • Cloud computing platforms
  • • E-commerce and digital marketing
  • • CRM and business automation
Program Benefits:
  • • $15K grant for digital adoption plan
  • • Up to $100K interest-free loan
  • • Digital advisor support included
  • • Youth talent hiring support
IRAP AI & Machine Learning Projects
Up to $500K
AI R&D
Non-Repayable

IRAP funding for SMEs developing AI/ML solutions, algorithms, and intelligent systems with commercial applications across industries.

AI Development Focus:
  • • Machine learning algorithms
  • • Computer vision applications
  • • Natural language processing
  • • Predictive analytics systems
Support Included:
  • • 60-80% of eligible R&D costs
  • • Industrial Technology Advisor
  • • Technical expertise access
  • • Commercialization support
Pan-Canadian AI Strategy Programs
$443M Investment
AI Research
Academic-Industry

Federal AI strategy supporting AI research institutes (Mila, Vector, Amii), talent development, and commercialization through industry partnerships.

AI Institutes:
  • • Mila (Montreal) - Deep learning
  • • Vector (Toronto) - Machine learning
  • • Amii (Edmonton) - Reinforcement learning
  • • Industry partnership programs
Support Areas:
  • • AI research collaborations
  • • Talent development programs
  • • Industry application projects
  • • Technology commercialization

AI Funding by Application

12+ Programs
Machine Learning
$280M+
Available Funding
Deep learning models
Predictive analytics
Pattern recognition
8+ Programs
Computer Vision
$190M+
Available Funding
Image recognition
Object detection
Quality inspection AI
7+ Programs
Natural Language Processing
$150M+
Available Funding
Text analysis
Chatbots & conversational AI
Sentiment analysis
9+ Programs
Big Data & Analytics
$130M+
Available Funding
Data infrastructure
Business intelligence
Real-time analytics
6+ Programs
AI in Healthcare
$210M+
Available Funding
Medical imaging AI
Drug discovery
Patient care optimization
10+ Programs
AI Skills & Training
$95M+
Available Funding
Workforce development
AI education
Talent programs

Provincial Digital & AI Programs

🍁 Leading Provincial Programs:

  • Ontario AI Strategy: $190M for AI research and commercialization
  • Quebec AI Hub: $185M for AI ecosystem development
  • BC Tech Fund: $120M for digital innovation
  • Alberta Innovation Grants: $95M for AI and tech

🎯 Priority AI Applications:

  • Healthcare AI: Medical imaging and diagnostics
  • FinTech AI: Fraud detection and risk analysis
  • AgriTech AI: Precision agriculture solutions
  • Smart Cities: Urban AI applications

AI Funding Success Strategies

✅ Best Practices
Clear AI Use Case: Define specific problem AI solves with measurable outcomes
Data Strategy: Demonstrate access to quality training data
Technical Team: Show AI/ML expertise and development capability
Commercialization Path: Clear go-to-market and scaling strategy
❌ Common Mistakes
Vague AI Application: Not clearly defining what AI does or solves
Weak Data Foundation: Insufficient or poor quality training data
Overpromising AI Capabilities: Unrealistic expectations about AI performance
No Business Model: Technology without clear revenue or impact model

Ready to Access Digital & AI Funding?

Get our complete digital and AI funding guide or work with specialists who have secured $85M+ in AI grants across Scale AI, CDAP, and research programs.

Complete Application Guide

Get our step-by-step AI funding application guide with Scale AI templates, CDAP tools, and program selection strategies.

View Application Guide

Expert AI Funding Support

Work with AI funding specialists who have secured $85M+ with 79% success rate across Scale AI and digital programs.

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79% success rate • $85M+ secured • Scale AI, CDAP & Research expertise

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Last updated: January 2025

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