Soldo vs a2z Radiology AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Soldo

GrowthFinTech

Multi-User Business Spending

Multi-user business spending platform with programmable cards and real-time visibility for SMBs and mid-market companies across Europe.

About

Soldo is a London and Rome-based business spending company that provides programmable prepaid Mastercard cards and an expense management platform for businesses needing to distribute spending power across teams, departments, or subsidiaries. Companies load funds onto Soldo and assign cards to employees with individual spending rules — category restrictions, single-transaction limits, merchant blocks — giving decentralized spending control with centralized oversight. The platform is particularly suited for businesses with distributed workforces including field sales teams, franchise operators, and multi-location businesses. Soldo integrates with accounting software including Xero and QuickBooks and provides real-time transaction feeds that dramatically reduce reconciliation time. Founded in 2014 with offices in London and Rome, Soldo raised over $180M from investors including Battery Ventures, Accel, and Silicon Valley Bank. The company serves over 30,000 businesses across Europe and competes with Pleo, Spendesk, and Payhawk in the European business spending market.

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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

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.

About

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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