Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered corporate spend management and virtual card platform with real-time controls and expense automation. New York NY / Tel Aviv Israel, raised $50M+.
Mesh Payments is a corporate spend management platform that provides companies with virtual and physical corporate cards, real-time spend controls, and automated expense management in a single integrated solution. Founded in 2018 and headquartered in New York, New York with development operations in Tel Aviv, Israel, Mesh Payments has raised more than $50 million from investors including Tiger Global Management and Silicon Valley Bank. The company's platform is designed to give finance teams complete real-time visibility and control over company spend across all payment methods and vendors.\n\nMesh's platform uses AI to automate expense categorization, policy enforcement, and reconciliation, reducing the manual work that traditional expense processes require from both employees and finance teams. The virtual card infrastructure allows finance teams to issue single-use cards for specific vendors, set transaction limits, restrict categories, and set card expiration dates, providing granular control over each purchasing decision. The platform integrates with major accounting systems including QuickBooks, NetSuite, Xero, and Sage, pushing coded expense data automatically for reconciliation.\n\nMesh Payments targets technology companies, startups, and growth-stage businesses that need modern spend management capabilities without the complexity of legacy corporate card programs. The company competes with Brex, Ramp, Divvy, and Airwallex in the corporate card and spend management space. Mesh differentiates through its virtual card flexibility, its real-time control granularity, and its AI-powered automation that reduces manual finance work for lean finance teams at fast-growing companies.
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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