Marc is an AI-powered medical billing assistant designed to automate key aspects of revenue cycle management (RCM). It can fill out insurance claim forms, write denial letters, and ensure compliance with billing rules such as NCCI edits and medical necessity guidelines. Marc is built to integrate with any Electronic Health Record (EHR) system, including transcribing hand-written notes into digital formats. It uses Generative AI and OCR technologies, while also including human-in-the-loop verification and adaptive learning from human feedback to ensure billing accuracy and compliance.

AKASA Coding leverages generative AI and large language models fine-tuned on health system-specific data to automate and enhance medical coding and CDI processes. It reviews clinical documentation, suggests appropriate codes, provides justifications and direct evidence for recommendations, and flags missed revenue or quality opportunities. The platform is tailored to each client's workflows, boosting coder productivity, accuracy, and revenue capture while reducing administrative costs and error rates. It blends machine learning with expert-in-the-loop mechanisms for exception handling and continuous improvement.

Arintra's autonomous coding solution emphasizes support for primary care along with other clinical specialties. It automates the coding of patient charts from outpatient, inpatient, and urgent care settings, with a particular focus on high-volume environments like primary care and emergency departments. The platform integrates with EHRs to provide direct-to-billing codes without altering existing workflows, enabling primary care providers to reduce manual workload and improve accuracy in coding and reimbursement processes.