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Freed

Freed

Focus on people, not paperwork

San Francisco, California, United States

Freed is a clinical documentation AI that transcribes patient visits in over 14 languages and generates EHR-ready notes. It saves clinicians 2-3 hours daily, collectively saving over 2.5 million cumulative hours since its 2023 launch, by automating post-visit tasks and integrating with existing EHR systems.

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How We Help

Problem Statement

Addresses physician documentation burden estimated at 3 hours daily.

Core Technology

Uses a fine-tuned OpenAI Whisper model optimized for clinical vocabulary, implements hundreds of targeted AI tasks for clinical note generation and EHR compatibility, and features a structured, specialty-aware documentation engine that adapts to individual clinician preferences. It functions as an ambient listening tool that generates clinical notes within 60 seconds.

Key Differentiators

Transcribes patient visits in 14+ languages; Generates EHR-ready notes and integrates with existing EHR systems; Provides visit preparation with patient summaries and context; Provides post-visit automation including ICD-10 codes, patient instructions, and clinical letters; Reduces average note closure time from ~21 days to 0–3 days (86% faster turnaround) in real-world case studies; Chrome Extension works with all browser-based EHRs without traditional API integration; Positioned as affordable alternative to traditional medical scribes costing $40K+ annually

Clinical Focus

family medicine; psychiatry; pediatrics; OB/GYN; internal medicine; 90+ other specialties

Company Info

Business Model
B2B SaaS
Founded
2023
Total Funding
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Website
www.getfreed.ai/

Categories

Clinical Documentation AI

Disease Areas

Technologies

AIAmbient ListeningNatural Language Processing

Clinical & IP

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Clinical Validation

32.5M patient visits transcribed (2025). SOC 2, HITECH certified, HIPAA-compliant. Referenced in peer-reviewed PMC healthcare literature. Not FDA-regulated as documentation tool, not decision-support.

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Innovation

Clinical Benefit

Feasibility

Scalability

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