Freed AI vs a2z Radiology AI

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

Freed AI

EmergingHealthTech

AI Medical Scribe

AI medical scribe for clinicians that records, transcribes, and summarizes patient visits into ready-to-use SOAP notes.

About

Freed AI is a San Francisco-based medical technology startup that provides clinicians with an AI-powered medical scribe accessible via mobile app that records patient visit audio, transcribes the conversation, and generates a complete SOAP note formatted for direct paste into any EHR. Freed differentiates from other ambient scribing tools through its simplicity and accessibility — clinicians start and stop recordings with a tap, and notes are delivered within 2 minutes without requiring EHR integrations or complex IT deployment. The product's one-tap workflow and near-immediate turnaround make it accessible to solo practitioners and small clinics that need ambient scribing without enterprise procurement processes. Freed's AI is designed to capture not just what was said but what was clinically significant, filtering conversation content to produce concise, structured notes rather than verbose transcriptions. The company has grown rapidly through physician word-of-mouth and healthcare professional communities, with thousands of clinicians using the product. Founded in 2022, Freed has gained traction as a lightweight, affordable alternative to enterprise ambient scribing platforms.

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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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