Corti, the Copenhagen‑based health AI company, introduced Symphony for Medical Coding, an agentic system that treats coding as a reasoning task rather than simple labeling. Built on a peer‑reviewed framework and a study of 1.8 million patient encounters, Symphony claims up to 25% higher clinical accuracy than models from OpenAI, Anthropic, Amazon, Oracle and Microsoft. The system uses four sequential agents to extract evidence, navigate the ICD index, validate candidates and reconcile final codes, delivering auditable outputs linked to supporting clinical evidence. Available through an API and integrated with the Corti Console, Symphony operates across U.S. and European coding environments and aims to reduce errors that affect billing, reporting and public health data. Read more →