Side-by-side comparison of AI visibility scores, market position, and capabilities
End-to-end procurement and supplier management platform for manufacturing and public sector; Research Triangle Park NC; serves 1,900+ customers across 70+ countries.
JAGGAER is an end-to-end procurement and supplier management platform headquartered in Research Triangle Park, NC, that serves manufacturing, healthcare, education, and public sector organizations with strategic sourcing, supplier management, contract management, and spend analytics capabilities. The company serves over 1,900 customers across more than 70 countries.\n\nThe platform's particular strength lies in complex, direct materials procurement — the management of raw materials and components that go into manufactured products — which distinguishes it from platforms more focused on indirect spend. JAGGAER's supplier management capabilities enable manufacturers to manage supplier qualification, performance scorecards, risk assessments, and collaboration workflows within a single system.\n\nJAGGAER has built its footprint particularly within higher education and research institutions in addition to manufacturing, providing procurement solutions tailored to the unique compliance and grant management requirements of academic environments. Its global reach and category breadth make it a relevant platform for organizations with complex, multi-category sourcing needs and international supplier bases.
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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