Side-by-side comparison of AI visibility scores, market position, and capabilities
Procurement software and managed services for global enterprises; Clark NJ; serves Fortune 500; GEP SMART platform processes $500B+ in spend; 5,000+ employees worldwide.
GEP is a global procurement software and managed services company headquartered in Clark, NJ, that serves Fortune 500 and Global 2000 enterprises with its GEP SMART procurement platform alongside outsourced procurement consulting and managed services. The company processes over $500 billion in annual business spend through its platform and employs over 5,000 people across offices in North America, Europe, and Asia.\n\nGEP SMART is a unified source-to-pay platform built on a cloud-native, AI-powered architecture that covers strategic sourcing, supplier management, contract management, procurement, and spend analytics. The platform's AI capabilities include natural language spend classification, predictive sourcing recommendations, and automated supplier risk monitoring, enabling procurement teams to operate with greater efficiency and insight.\n\nGEP's combined software-plus-services model differentiates it from pure-play software vendors, as clients can choose to license the platform independently or engage GEP's consulting teams to run procurement operations on their behalf. This flexibility has made GEP particularly attractive to enterprises undergoing procurement transformation who need both technology and expertise to achieve their spend optimization goals.
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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