Side-by-side comparison of AI visibility scores, market position, and capabilities
Apiiro is a code risk platform that maps the application attack surface from design to runtime, prioritizing security risks based on reachability and business impact.
Apiiro is a code risk platform that builds a deep understanding of the application architecture — APIs, authentication flows, data models, third-party dependencies, and infrastructure configuration — by analyzing the codebase and correlating that structural knowledge with security findings to prioritize risk based on reachability and business impact rather than vulnerability severity scores alone. The platform's approach to risk prioritization addresses a core frustration in application security: raw vulnerability counts from scanners are dominated by findings that are technically valid but not practically exploitable in the specific application context, causing engineers to waste remediation cycles on low-risk findings while genuinely dangerous issues are buried in the queue. Apiiro's risk engine uses its application model to distinguish findings that are reachable from the internet, handle sensitive data, or sit in the critical path of authentication from those that do not.
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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