Canadian Landscape
summary
Two Canadian startups describe concrete wins and constraints: one builds a conversational AI chatbot that anonymizes triage for people facing homelessness and reports that 94% own a mobile phone and 77% have smartphones while 80–90% of eligible services are unknown to users; the other ships a remote engagement platform for financial advisors, lands an institutional client in year one and uses SR&ED/IRAP and bootstrap capital to scale. Both cite conservative local VC markets, pandemic-driven adoption, and a hybrid build with core innovation kept in-house.
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chapters (14)
- 0:00Introduction to Canadian AI landscape
- 1:44Founders introduce their companies
- 5:39Challenges of Canadian startups
- 9:27Capital ecosystem in Canada
- 11:56Why choose Canada for startups
- 17:17Selling Canada to entrepreneurs
- 21:27Building practical tech products
- 24:38Developing the chatbot solution
- 26:23Telus Touch’s product approach
- 29:32Problem-first mindset in Canada
- 35:26Advice for aspiring founders
- 39:39Ethical values in business
- 41:27Outsourcing vs in-house tech
- 43:13Closing remarks and Q&A
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