Side-by-side comparison of AI visibility scores, market position, and capabilities
Customer data platform that collects, unifies, and routes real-time user data across marketing, analytics, and personalization tools for enterprise brands.
mParticle is a New York-based customer data platform (CDP) that sits at the center of enterprise data infrastructure, collecting behavioral and transactional data from mobile apps, websites, and connected devices and routing it in real time to hundreds of downstream marketing, analytics, personalization, and data warehouse destinations. The platform's SDK-based data collection captures granular user events — screens viewed, items added, purchases, and custom events — with consistent schema enforcement across all collection points, ensuring data quality before it reaches downstream tools. mParticle's identity resolution capabilities unify anonymous and known user profiles across devices and channels into persistent customer profiles that persist through login events and device changes. The platform provides audience segmentation tools that allow marketers to build and activate real-time audiences against advertising and marketing platforms without requiring engineering support for each new integration. mParticle serves enterprise brands in retail, media, financial services, and gaming — including companies like Spotify, Airbnb, Starbucks, and NBCUniversal — that manage high-volume user data pipelines across complex multi-platform product surfaces. Founded in 2013, mParticle raised over $150M from investors including Comcast Ventures, Bain Capital Ventures, and Social Capital, competing directly with Segment (Twilio), Tealium, and Adobe Real-Time CDP.
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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