Applied Research
Turning AI research into real-world outcomes — actionable findings that help Canadian organizations build, deploy, and govern AI effectively.
Research must lead to action
Canada has world-class AI researchers, but too often their work stays in academic journals. The gap between AI research and real-world deployment is one of Canada's biggest missed opportunities. Organizations across the country — from hospitals to government agencies to startups — need practical guidance on how to adopt AI effectively and responsibly.
Applied research bridges this gap. It takes the latest advances in AI and translates them into frameworks, tools, and recommendations that Canadian organizations can actually use. This means testing in real environments, measuring real outcomes, and publishing findings in plain language that decision-makers can act on.
At canLM, we believe research is only valuable if it leads to better outcomes for Canadians. Every project we undertake is designed with a clear path from insight to impact.
Our initiatives
AI Readiness Assessments
Developing practical frameworks for Canadian organizations to evaluate their readiness for AI adoption — covering data maturity, infrastructure, talent, and governance.
Sector-Specific AI Guides
Publishing detailed, practical guides for AI adoption in key Canadian sectors: healthcare, public service, education, natural resources, and financial services.
Model Evaluation & Benchmarking
Ongoing evaluation of leading AI models on Canadian-specific tasks, published as regular reports so organizations can make informed deployment decisions.
Open-Source Tools & Datasets
Building and releasing open-source tools, datasets, and fine-tuned models that the Canadian AI community can use, build on, and contribute to.
Policy Briefs & Recommendations
Translating research findings into actionable policy recommendations for Canadian federal, provincial, and municipal governments.