Side-by-side comparison of AI visibility scores, market position, and capabilities
Source-to-pay procurement platform for large enterprises; Redwood City CA; raised $60M+; serves Fortune 500 with 100% cloud-native architecture and no-code configurability.
Ivalua is a source-to-pay procurement platform headquartered in Redwood City, CA, that serves large enterprises and Fortune 500 organizations with a fully unified platform covering strategic sourcing, supplier management, contract lifecycle management, procurement, and accounts payable. The company raised over $60 million in funding and has positioned itself as a flexible alternative to older ERP-embedded procurement systems.\n\nIvalua's platform is built on a 100% cloud-native architecture with extensive no-code configurability, allowing procurement teams to adapt workflows, approval rules, and data models without relying on IT or custom development. This configurability is particularly valuable for large enterprises with complex, non-standard procurement processes that generic platforms cannot accommodate.\n\nThe platform's unified data model means all procurement activities — from supplier discovery to invoice payment — share a single source of truth, providing finance and procurement leadership with comprehensive spend visibility and audit trails. Ivalua's strong presence in Europe alongside its US operations reflects the global nature of the enterprises it serves and the need for multi-currency, multi-language procurement infrastructure.
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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