Side-by-side comparison of AI visibility scores, market position, and capabilities
Vancouver BC payroll, HR, and scheduling platform for hospitality businesses in Canada and the US; built specifically for restaurant operators managing hourly shift workers.
Push Operations is a payroll, HR, and scheduling platform headquartered in Vancouver, British Columbia, designed specifically for hospitality businesses in Canada and the United States. Founded in 2010, Push Operations serves restaurant operators, hotel groups, and other hospitality businesses that need an integrated solution for managing hourly employees across scheduling, time tracking, HR records, and payroll processing — without stitching together multiple disconnected tools.\n\nThe platform's scheduling module allows managers to build and publish shift schedules with labor cost visibility baked in. Its time and attendance system handles clock-ins via mobile app or in-store tablet and feeds hours directly into payroll processing. Push Operations handles provincial and state tax compliance, vacation pay accruals, and Records of Employment (ROE) for Canadian operators, as well as US payroll tax filings across multiple states.\n\nPush Operations differentiates from US-centric competitors like 7shifts and Harri by offering deep Canadian payroll expertise, including BC, Ontario, Alberta, and Quebec compliance, alongside US payroll capabilities. This dual-jurisdiction capability makes Push Operations a preferred choice for hospitality businesses that operate locations on both sides of the US-Canada border. The platform competes with Ceridian Dayforce and ADP in the broader payroll space but wins with hospitality operators through its industry-specific scheduling and operational features.
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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