AI-driven revenue cycle, EHR and ambient documentation platform for providers
Athelas sells an AI platform covering medical billing, EHR and ambient clinical documentation to healthcare practices. Active adoption of HL7 v2 and FHIR, plus projects around an EHR integration platform and LLM-based reverse-engineering of health records, show interoperability is the core engineering bet. Hiring is accelerating and heavily senior-engineering weighted, with a security stack (Splunk, CrowdStrike, MISP, FedRAMP) unusually mature for its size.
Notable leadership hires: Head of Talent
Athelas is a privately held healthcare software company headquartered in Mountain View, California, with 201–500 employees. Its platform combines revenue cycle management, electronic health records, ambient AI documentation and remote patient monitoring for healthcare providers and practices. The product focuses on automating back-office work such as claims, billing and eligibility checks. Engineering is built on Python, TypeScript, React and Flutter running on Docker, Kubernetes and AWS, and the company hires across the United States, India, Brazil and Bangladesh.
Athelas uses Python, TypeScript, React, Flutter, Django, FastAPI and Flask on Docker, Kubernetes and AWS Lambda, with SageMaker for ML, Salesforce and HubSpot for sales, and NetSuite for finance.
Yes. Athelas already uses HL7 and is actively adopting HL7 v2 and FHIR, alongside building an integration platform for EHRs to address interoperability with EMR systems.
Athelas hires in the United States, India, Brazil and Bangladesh, with hiring accelerating and concentrated in senior engineering roles, followed by sales and operations.
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Athelas's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.