Abridge vs Adept AI

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

Abridge

EmergingHealthcare

General

Pittsburgh ambient clinical AI (founded by cardiologist) at $5.3B valuation Jun 2025; $800M total ($300M a16z/Khosla Series E) deployed at UPMC 12K clinicians, Mayo Clinic, Johns Hopkins competing with Nuance DAX for physician documentation.

AI VisibilityBeta
Overall Score
D33
Category Rank
#268 of 1167
AI Consensus
71%
Trend
stable
Per Platform
ChatGPT
27
Perplexity
33
Gemini
37

About

Abridge is a Pittsburgh, Pennsylvania-based healthcare AI clinical documentation platform — backed with approximately $800 million in total funding including a $300 million Series E in June 2025 led by Andreessen Horowitz and Khosla Ventures at a $5.3 billion valuation, following a $250 million Series D just four months prior at a $2.8 billion valuation — providing physicians, nurses, and care teams at 150+ health systems with AI that automatically converts patient-clinician conversations into structured clinical notes, saving physicians an average of 3 hours daily and generating high-quality documentation from UPMC (scaling to 12,000 clinicians enterprise-wide), Mayo Clinic, Johns Hopkins, and Emory Healthcare. Abridge's AI is trained on a proprietary dataset of over 1.5 million medical encounters, delivering specialty-specific documentation through deep Epic EHR integration. Founded in 2018 by cardiologist Dr. Shiv Rao.

Full profile

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.

Full profile

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