DeepScribe vs Adept AI

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

DeepScribe

EmergingHealthTech

Medical Transcription AI

Ambient AI medical scribe that converts physician-patient conversations into clinical notes automatically during the visit.

About

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.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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