Side-by-side comparison of AI visibility scores, market position, and capabilities
Austin TX digital tip distribution platform; instantly sends tips to restaurant workers' bank accounts at end of shift; raised $20M+; eliminates cash tip-out workflows.
Kickfin is a digital tip distribution platform headquartered in Austin, Texas, that enables restaurants to send tip payments instantly and directly to employees' bank accounts at the end of every shift. Founded in 2018, the company has raised over $20M in funding and serves thousands of restaurant locations that are transitioning away from cash tip-out workflows. As cash usage declines and card payments dominate restaurant transactions, Kickfin addresses the resulting operational gap between when tips are collected electronically and when employees receive them.\n\nKickfin integrates with restaurant POS systems to calculate tip amounts based on sales and house tip pooling rules, then pushes payments through Visa and Mastercard payment rails to any US bank account or debit card. Employees receive an instant notification when their tips are deposited and can access funds immediately without waiting for the next payroll cycle. This eliminates the need for managers to maintain cash drawers for tip-out and reduces the administrative burden of manual tip calculations.\n\nKickfin competes with payroll-adjacent solutions that have added tip distribution features, but differentiates through its dedicated focus on tip management, its instant payment architecture, and its zero-cost-to-employee model. The platform is particularly valuable for high-volume restaurants, bars, and hotel food and beverage operations where tip-out amounts are significant and daily cash management is a persistent operational challenge. Kickfin is integrated with Toast, Aloha, Micros, and other leading POS platforms.
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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