Particle Health vs a2z Radiology AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Particle Health

EmergingHealthcare

Health Data Exchange API

Particle Health provides a health data exchange API enabling healthcare apps to access longitudinal patient records from national networks with a single integration.

About

Particle Health is a health data exchange company founded in 2018 that provides developers and healthcare companies with a single API to access patient clinical records from national health information networks including CommonWell, Carequality, and others. The company abstracts the complexity of connecting to dozens of regional health information exchanges and national networks behind a simple developer-friendly API, enabling healthcare applications to retrieve longitudinal patient records including medical history, lab results, diagnoses, and medications from any participating provider. Particle raised $60M and serves digital health companies, telehealth platforms, health plans, and healthcare analytics firms that need access to real-world patient data to power clinical decision support, care management, and value-based care programs. The company provides HIPAA-compliant data access with identity verification and purpose-of-treatment validation to ensure appropriate use of patient records. Particle's API approach reduces the time and cost for healthcare companies to build clinical data infrastructure from months of complex integrations to days of API implementation.

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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

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.

About

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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