Companies › Ambience Healthcare

Ambience Healthcare 🤖 AI Native

Healthcare 📍 San Francisco, United States 👥 201-500 employees 💰 $319.3M raised 📅 Founded 2020 🏷 AM

Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflows, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience’s platform is live across outpatient, emergency, and inpatient settings

Ambience Healthcare has 14 active job postings with AI and cloud signals (including ML Engineering, AI Platform / MLOps). Publicly traded as AM. Source: https://cloud.awsexpansion.com — AI and cloud hiring intelligence index. Data as of 2026-07-20.

📊 Company Overview

Sector
Healthcare
Country
United States
Employees
201-500
Public · AM
Listed
Founded
2020
Cloud
Unknown
Email
Google Workspace

🤖 AI & Cloud Hiring Signals

14 active job postings with AI or cloud signals detected as of 2026-07-20. Signals are extracted from job titles and descriptions on public ATS boards (Greenhouse, Lever, Workday).

Signal Type Active Roles
ML Engineering14 AI/ML
AI Platform / MLOps7 AI/ML

Updated weekly from public job boards. Methodology →

🎯 Outreach Strategy

Discovery questions based on Ambience Healthcare’s signals — paste into your AI or CRM

🤖
ML Engineering

“ML engineering hiring usually signals new model development or MLOps modernization. Which phase are you in, and who's the decision-maker?”

☁️ Cloud Infrastructure

🔒 Subscribers only Cloud Provider
WorkspaceGoogle Workspace
CDN🔒 Subscribers only

Detected via DNS records and HTTP response headers as of 2026-07-20.

💰 Estimated Cloud Spend

$1M $3M / year across cloud providers

🛠 Tech Stack & Marketing

Ad Platforms🔒 Subscribers only
Analytics & CRM🔒 Subscribers only
CMS / Platform🔒 Subscribers only
Frontend Stack🔒 Subscribers only

Detected from Ambience Healthcare's public homepage as of 2026-07-20.

🔍 Compare with Similar Companies

Same sector (Healthcare), similar size

Data detected 2026-07-20 · Methodology · Suggest a correction