Side-by-side comparison of AI visibility scores, market position, and capabilities
Ambient AI medical scribe that converts physician-patient conversations into clinical notes automatically during the visit.
DeepScribe is a San Francisco-based ambient AI medical scribe company that uses machine learning to listen to physician-patient conversations and automatically generate complete, structured clinical documentation without physician dictation or manual entry. The platform runs on a smartphone placed in the exam room, processes the conversation to identify medically relevant information, and presents a complete draft note in the EHR within minutes of the visit ending. DeepScribe differentiates through its customization capabilities — physicians can train the AI to match their personal documentation style, preferred note templates, and specialty-specific terminology, making the output immediately publishable with minimal editing. The company serves primary care, specialty, and urgent care physicians as well as telehealth providers. Founded in 2017, DeepScribe raised over $30M from investors including Kaiser Permanente Ventures, Greycroft, and SignalFire. The company has demonstrated significant time savings for clinicians and reductions in EHR-related stress. It competes with Suki AI, Nuance DAX, and Freed AI in the ambient medical scribe market.
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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