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AI Copilot for Ambulance Agencies (EMS)

Amby Health automates billing and quality reviews for ambulance agencies (EMS), replacing large back-office teams with AI. We analyze patient reports in seconds—not months—accurately coding claims and identifying liability and care risks while eliminating costly, error-prone manual processes.
Amby Health
Founded:2025
Team Size:2
Status:
Active
Location:San Francisco
Group Partner:Harj Taggar
Active Founders

Yos Wagenmans, Founder

Co-founder and CEO of Amby Health. Dropped out of MIT CS to build next-gen EMS software. Previously led ML research at MIT CSAIL, worked on AI at Meta, and developed pre-hospital software at ALLM.
Yos Wagenmans
Yos Wagenmans
Amby Health

Timmy Dang, Founder

Co-founder & CTO @ Amby Health. Dropped out of MIT to revolutionize EMS. Software @ Amazon & Bloomberg. AI + Data Science @ OM1 (healthcare analytics).
Timmy Dang
Timmy Dang
Amby Health
Company Launches
Amby Health - AI Copilot for Ambulance Agencies (EMS)
See original launch post ›

We’re Yos and Timmy – co-founders of Amby Health 👋

TL;DR

Ambulance agencies (EMS) waste time and lose revenue due to manual quality reviews and billing, leading to missed errors, under-documented care, and delayed reimbursements. Amby Health automates the entire process, ensuring 100% of patient reports (PCRs) are reviewed in real-time, helping agencies increase revenue, reduce workload, and improve patient care.

Know any EMS Directors/CEOs or Fire Department Captains? Please introduce us!

Email: contact@amby.health

The Team

Yos (CEO):  MIT dropout, ex-Meta engineer, ML researcher at MIT CSAIL, and former engineer at Allm, a company providing pre-hospital emergency care. He saw firsthand how outdated, manual EMS documentation and billing slow down providers and reduce revenue.

Timmy (CTO): – MIT dropout, ex-Amazon/Bloomberg engineer, AI researcher at MIT Media Lab, and healthcare data scientist at OM1. He saw how valuable insights are buried in unstructured medical records, making it hard for providers to act on critical data.

The Problem

EMS quality reviews and billing are still manual and inefficient, leading to:

  • Missed Errors & Compliance Risks – Incomplete patient reports (PCRs) slip through, leading to under-documented care, protocol violations, and legal exposure.
  • Lost Revenue & Billing Delays – EMS teams spend hours fixing reports, chasing down medics, and resubmitting claims. Agencies miss out on millions due to denials, coding errors, and charge capture gaps.
  • Slow, Labor-Intensive Process – Quality review and billing teams are bogged down by manual chart reviews and corrections, delaying reimbursements and patient care improvements.

Our Solution: AI-Powered EMS Quality Review & Billing

Automated Quality Audits – Identifies errors, missing documentation, and compliance risks instantly.
Real-Time Medic Feedback – Helps providers improve documentation and protocol adherence with instant insights.
Billing Optimization – Ensures complete PCRs, flags missed charges and reduces denials to speed up payments.

The result? EMS agencies recover lost revenue, cut review times, and improve patient care—while reducing manual work.

One fire department increased EMS revenue by 33% (from $350K to $500K) simply by improving its review process.

Demo

https://youtu.be/eH2ddSKFZOI


Our Ask

YC Sign Photo

Company photo