Side-by-side comparison of AI visibility scores, market position, and capabilities
Datavant is the largest health data ecosystem connecting healthcare organizations through privacy-preserving tokenization that enables real-world data linkage across systems.
Datavant is a health data company founded in 2017 that has built the largest real-world health data ecosystem in the United States through its privacy-preserving data tokenization technology. The company's platform enables healthcare organizations including hospitals, insurers, pharmaceutical companies, and research institutions to link patient records across databases without sharing identifying information, using consistent de-identified tokens that allow data to be joined securely. Datavant raised over $600M and expanded significantly through its merger with Ciox Health, combining Datavant's tokenization technology with Ciox's medical record retrieval operations. The company serves life sciences companies that need real-world evidence from claims, EHR, and specialty data sources, payers managing population health programs, and health systems that want to generate revenue from their patient data while maintaining privacy compliance. Datavant's network effect grows as more organizations adopt the tokenization standard, making the ecosystem more valuable for every participant. The platform has become critical infrastructure for real-world evidence generation in pharmaceutical development and health economics research.
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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