Infinia ML

Infinia ML is a Durham, North Carolina-based intelligent document processing platform provider, acquired by healthcare revenue cycle management company Aspirion in 2023.

Infinia ML

Overview

Founded in Durham, North Carolina, Infinia ML developed machine learning-powered intelligent document processing for healthcare, life sciences, financial services, legal, and compliance sectors. The company's platform used ML algorithms to extract data from complex documents, enabling enterprises to identify trends, improve processes, and make data-driven decisions. In September 2023, Aspirion, a Columbus, Georgia-based healthcare revenue cycle management provider, acquired Infinia ML for undisclosed terms. Infinia ML now operates as Aspirion's research and development engine, focusing on improving financial performance for healthcare providers through AI-powered document processing. The acquisition marked Aspirion's eighth successful transaction in five years and first technology asset acquisition. Prior to acquisition, Aspirion and Infinia ML partnered on projects demonstrating positive impacts for healthcare clients.

Key Features

Machine Learning Document Processing: ML-powered extraction identifying relevant data from knowledge work documents
Healthcare Specialization: Revenue cycle management, claims processing, and medical records automation
Multi-Industry Capabilities: Solutions spanning healthcare, life sciences, financial services, legal, and compliance
Trend Identification: Data analysis enabling process improvement and strategic insights
Integration-Ready: Platform designed to embed within existing healthcare revenue cycle workflows

Use Cases

Healthcare Revenue Cycle Automation

Hospitals and health systems use Infinia ML's technology (now through Aspirion) to automate claims denial management, payment posting, and account resolution. The platform extracts data from explanation of benefits (EOB) documents, remittance advice, denial letters, and payer correspondence. Automated extraction identifies denial reasons, payment variances, and required documentation, routing cases to revenue cycle specialists with relevant context for faster resolution.

Medical Records Processing

Healthcare providers process patient records, referrals, prior authorizations, and clinical documentation through ML-based extraction. The system captures diagnosis codes, procedure details, medication lists, and clinical notes from varied document formats arriving via fax, email, and portal uploads. Structured data flows to electronic health record systems, reducing manual abstraction time for health information management departments.

Claims Documentation Review

Payers and third-party administrators analyze claims attachments including medical records, operative reports, and diagnostic imaging reports. Infinia ML's algorithms extract clinical evidence supporting medical necessity, identify procedure codes matching documentation, and flag discrepancies for claims examiners. Automated review accelerates claims adjudication while maintaining accuracy for complex medical claims requiring clinical documentation support.

Technical Specifications

Feature	Specification
Core Technology	Machine learning, intelligent document processing
Primary Industry	Healthcare and life sciences
Additional Markets	Financial services, legal, risk and compliance
Acquisition	Aspirion (September 2023)
Deployment Status	Now integrated into Aspirion's RCM platform
Technology Focus	Extracting actionable data from complex documents
Use Cases	Revenue cycle, claims processing, medical records