Nym Health Raises $16.5M to Transform Hospital Billing with Auditable AI

Israeli startup Nym Health has secured $16.5 million in new funding to expand its groundbreaking machine learning platform designed to automate and streamline hospital billing processes. The round was led by GV (formerly Google Ventures), with participation from Bessemer Venture Partners, Lightspeed, and other prominent investors.

Solving the $15B Healthcare Billing Crisis

Hospital billing in the U.S. is plagued by inefficiencies, with complex coding requirements leading to $15 billion in denied claims annually. Nym Health addresses this challenge by:

  • Automating medical chart conversion to billing codes
  • Leveraging natural language processing (NLP) to interpret clinical documentation
  • Creating full audit trails for insurance compliance

“Our technology provides complete transparency,” explains Amihai Neiderman, Nym Health co-founder and former Israeli cybersecurity expert. “We can precisely explain how we derived every billing decision from patient records.”

From Military Intelligence to Medical Innovation

Founded in 2018 by Adam Rimon (PhD in Computational Linguistics) and Neiderman (both alumni of Israel’s elite 8200 cybersecurity unit), Nym Health combines:

  • Advanced NLP capabilities
  • Custom clinical language taxonomies
  • Machine learning models specifically trained for medical coding

The platform analyzes physician notes and electronic health records to determine accurate billing codes for procedures, examinations, and diagnostics.

Why Investors Are Betting on Smarter Billing

Key advantages driving investor interest:

  • Revenue recovery: Prevents lost income from coding errors
  • Compliance assurance: Provides defensible documentation for audits
  • Operational efficiency: Reduces administrative burden on staff

“Inaccurate coding hurts everyone in the healthcare system,” notes Ben Robbins, Venture Partner at GV.

Current Traction and Business Model

Nym Health already serves 40+ U.S. healthcare providers, charging \(1-\)4 per chart analyzed. While the system can’t detect fraudulent billing practices, it ensures proper documentation for legitimate services rendered.

This funding round will accelerate:

  • Product development enhancements
  • Expansion of U.S. sales and marketing efforts
  • Further refinement of its auditable AI technology

As healthcare systems increasingly prioritize revenue cycle management, Nym Health’s transparent AI approach positions it as a transformative solution for one of the industry’s most persistent challenges.


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