Side-by-side comparison of AI visibility scores, market position, and capabilities
Knoetic is a people analytics and CHRO intelligence platform for strategic HR decisions, raised $18M+ in San Francisco.
Knoetic was founded in 2020 in San Francisco and raised over $18M to build a people analytics platform purpose-built for Chief Human Resources Officers and senior HR leaders, rather than for the operational HR and reporting use cases that most HRIS vendors serve. The company recognized that CHROs are increasingly expected to bring data-driven business cases to the CEO and board, but lack the analytics tools and peer benchmarks needed to do so effectively. Knoetic was designed to fill that gap.\n\nThe platform provides workforce analytics across headcount, attrition, compensation, diversity, and performance, with benchmarks drawn from Knoetic's network of participating companies that allow CHROs to compare their organization's metrics against relevant peer groups. Knoetic also operates a private community for CHROs that complements the software product, enabling senior HR leaders to share insights, ask questions, and discuss emerging challenges with peers in a trusted environment that the company calls the CHRO Community.\n\nKnoetic integrates with HRIS systems to ingest workforce data automatically, building analytics on top of the data that companies already collect rather than requiring new data collection processes. The company competes against Visier, Workday People Analytics, and OneModel in the people analytics category, differentiating through its CHRO-specific design, peer benchmarking capabilities, and the community layer that keeps its most senior users deeply engaged with the platform.
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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