Maia Secures $1.2 Million Seed Funding to Automate Orthopaedic Billing

The Littleton-based startup plans to deploy this capital to expand its engineering and machine learning teams. By moving beyond generic coding tools, Maia focuses on models fine-tuned specifically for the nuances of orthopaedic surgical coding and evaluation and management services. Its flagship product, AutoCoder, interfaces with electronic health record systems like athenahealth and eClinicalWorks to suggest CPT, ICD-10, and HCPCS codes while providing necessary clinical justifications.

CEO Zach Ruhl noted that the investment will accelerate the development of new features, including AI-powered documentation support and automated denial appeals. According to head of AI Anson Antony, the platform grounds its code recommendations by blending neural reasoning with established clinical rules to ensure reliability. As practices currently lose up to 10% of potential revenue due to administrative inefficiencies, Maia seeks to capture that value by automating prior authorizations and the broader revenue cycle.