AI agents for healthcare revenue cycle and medical billing automation
Max AI automates healthcare billing and revenue cycle management using a swarm of AI agents that handle eligibility checks, claim submission, and collections autonomously. The stack—TypeScript/Python, TensorFlow/PyTorch, Kafka, PostgreSQL, and integrations with ModMed, Availity, and Waystar—reflects a company building both ML-heavy agent logic and deep healthcare system connectivity. Early hiring is sales-dominated (4 roles vs. 2 engineering), suggesting product-market fit in the clinical-operations buyer and a go-to-market focus; projects spanning chart review, medical coding, and accounts payable indicate a broader push into financial operations beyond billing alone.
Max AI builds AI agents that automate the healthcare revenue cycle for mid-market physician practices and health systems. The product ingests finalized patient charts, autonomously processes insurance eligibility and claim submission, and tracks collections—eliminating manual steps and billing errors that historically consumed hours of administrative labor. The company integrates with major healthcare billing platforms (ModMed, Availity, Waystar) and operates out of San Francisco with a team of 11–50 people. Active projects include automated chart review, medical coding optimization, and accounts payable automation, pointing toward a broader financial-operations platform.
TypeScript, Python, Next.js/React for frontend; NestJS/Django for backend; PostgreSQL, Redis, ClickHouse for data; Kubernetes, AWS, ArgoCD for infrastructure; TensorFlow, PyTorch, Hugging Face for ML; integrations with ModMed, Availity, Waystar, Salesforce, HubSpot.
San Francisco, California. Founded status not available in public records; current headcount is 11–50 employees, privately held.
Other companies in the same industry, closest in size