Side-by-side comparison of AI visibility scores, market position, and capabilities
Canada's second-largest telecom with ~$19B revenue; diversified into digital health (TELUS Health) and agriculture (TELUS Agriculture) verticals.
TELUS Corporation is Canada's second-largest telecommunications company by subscriber count, headquartered in Vancouver, British Columbia. The company reported revenues of approximately C$19 billion in 2025 and serves over 17 million wireless connections across Canada. TELUS operates mobile and fixed networks primarily in Western Canada, Ontario, and Quebec, and is a leader in fiber-to-the-home deployment in its service territories.\n\nTELUS has pursued an aggressive diversification strategy, building out TELUS Health as a major digital health services company offering electronic medical records, pharmacy management, and virtual care services to healthcare providers and employers across Canada and internationally. TELUS Agriculture & Consumer Goods provides data analytics, supply-chain traceability, and precision agriculture platforms to agri-food companies globally.\n\nThe company's international BPO subsidiary, TELUS International, provides AI data annotation, content moderation, and customer experience outsourcing to technology companies globally, and is publicly traded on the NYSE and TSX. TELUS has also been a leader in donating a percentage of profits to community investment programs through the TELUS Friendly Future Foundation, making corporate philanthropy a distinct brand differentiator.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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