DeepScribe Tech Stack

AI medical scribe automating clinical documentation for healthcare providers

Hospitals and Health Care San Francisco, CA 51–200 employees Founded 2017 Privately Held

DeepScribe builds an ambient AI system that transcribes and documents patient visits directly into electronic health records. The stack—Whisper for speech, OpenAI/Anthropic/Llama for language modeling, and a data infrastructure spanning Airflow, dbt, Redshift, Snowflake, and BigQuery—reflects a company balancing real-time clinical capture with downstream compliance and analytics. Hiring is concentrated in product and senior engineering roles while actively working on SOC 2 compliance and PHI deidentification, signaling a move from MVP toward enterprise-grade healthcare deployments.

Tech Stack 18 technologies

Core StackApache Airflow Prefect Dagster dbt Python Redshift Snowflake BigQuery OpenAI Anthropic TypeScript React AWS SQL Llama Whisper FHIR HL7

What DeepScribe Is Building

◆Challenges

Reducing clinician burnout
Overburdened clinicians
Reducing documentation time
Streamlining clinical workflows
Data reliability
Phi deidentification compliance
Pipeline performance cost
Expanding into complex chronic-care specialties
Clinical workflow inefficiencies
Improving documentation platform

▲Active Projects

Soc 2 compliance program
Clinical trial matching
Ambient copilots
Billing automation
Ambient operating system expansion
Real-time llm-powered platform
Phi deidentification pipeline
Product analytics data infrastructure
Data warehouse optimization
Ai-powered provider workflow functionality

Hiring Activity

Decelerating8 roles · 1 in 30d

Department

Product

Engineering

Data

Security

Seniority

Senior

Mid

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About DeepScribe

DeepScribe provides an AI scribe that captures patient-clinician interactions in real time and generates billable clinical documentation within existing EHR systems. Founded in 2017, the company operates across small private practices and large healthcare systems. The product addresses clinician documentation burden—one of the leading drivers of burnout in medicine—while simultaneously improving billing capture and freeing time for patient care. The active project list spans clinical workflow automation, billing optimization, compliance infrastructure, and expansion into complex chronic-care settings, indicating a platform moving beyond basic transcription toward comprehensive clinical AI.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What is DeepScribe's AI technology built on?

DeepScribe uses OpenAI, Anthropic, and Llama for language modeling, Whisper for audio transcription, and clinical standards (FHIR, HL7) for EHR integration. Data pipelines run on Apache Airflow, Prefect, and Dagster with warehousing on Redshift, Snowflake, and BigQuery.

What are DeepScribe's main product priorities?

Current work focuses on SOC 2 compliance, clinical trial matching, ambient copilots, billing automation, PHI deidentification pipelines, and expanding the ambient operating system into complex chronic-care workflows.