Side-by-side comparison of AI visibility scores, market position, and capabilities
Sift is a digital trust and safety platform using machine learning to detect and prevent fraud across account takeover, payment fraud, and content abuse.
Sift is a digital trust and safety platform that applies machine learning to detect and prevent fraud across multiple attack vectors — account takeover, payment fraud, fake account creation, content spam, and promotion abuse — using a global network of behavioral signals drawn from events across its customer base to continuously improve detection models. The platform's Global Data Network aggregates anonymized fraud signals from thousands of businesses, enabling machine learning models to detect emerging fraud patterns across the network before they reach any individual merchant, providing a threat intelligence advantage that improves as more companies contribute event data. This network effect model creates a compounding detection capability that individual companies cannot replicate with solely their own transaction history.
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.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.