Side-by-side comparison of AI visibility scores, market position, and capabilities
Data privacy management platform for DSAR automation and consent management, San Francisco CA, raised $45M+. Integrates with 2,000+ data systems for privacy ops.
DataGrail is a San Francisco, California-based data privacy management company founded in 2017 that automates the operational workflows required by modern privacy laws, with a particular focus on data subject access requests (DSARs) and real-time data mapping. The company has raised over $45 million and serves hundreds of enterprise customers including major consumer brands seeking to operationalize GDPR, CCPA/CPRA, and related privacy regulations at scale.\n\nDataGrail's core product integrates directly with more than 2,000 business applications — including CRM systems, marketing platforms, data warehouses, and SaaS tools — to automatically discover where personal data lives across an organization's technology stack. This connected architecture allows DataGrail to fulfill DSAR requests (access, deletion, portability, opt-out) by orchestrating automated data retrieval and deletion workflows across integrated systems, dramatically reducing the manual effort required to respond to privacy requests within regulatory deadlines.\n\nThe platform also includes consent management, privacy program management, and a risk intelligence layer that helps privacy teams understand their data exposure in real time. DataGrail differentiates from competitors like OneTrust and Securiti through its deep integration catalog and its API-first architecture, which appeals to technical buyers and engineering-led organizations. The company has partnered with Salesforce as a preferred privacy management solution and has built strong distribution through technology ecosystem partnerships alongside direct sales.
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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