Infinia ML is Aspirion’s dedicated AI team, engineered to solve denials and underpayment challenges where conventional approaches fall short—at the scale of the nation’s largest health systems.
Infinia ML builds AI-native platforms for clinical document understanding, evidence-based reasoning, and human-AI collaboration—engineered for the compliance demands and data complexity of healthcare revenue cycle management.
CLINICAL INTELLIGENCE
Healthcare data is notoriously complex: unstructured, inconsistent, and high-volume. Our multi-modal AI cuts through the chaos, extracting actionable evidence from even the most difficult documentation and generating outputs that drive faster, more informed decision-making. What previously required hours of manual review now happens in seconds.
APPEAL INTELLIGENCE
Finding evidence is only half the battle. Our platform analyzes medical records, payer contracts, clinical guidelines, and regulatory policies to build the strongest appeal, then constructs the argument to match—appeals that overturn DRG downgrades and medical necessity denials at scale.
STRATEGIC INTELLIGENCE
Individual appeals tell one story. Our AI tells the bigger one. The same platform powering your appeals surfaces clinical patterns and payment trends across a health system’s full claims portfolio—identifying systemic payer behavior, spotting underpayment trends, and acting on intelligence that goes far beyond any single claim.
We've built production-grade AI that delivers real, measurable results—faster appeals, near-perfect document accuracy, and higher claims overturn rates, at a scale no manual team can match.
First appeals filed more than twice as fast, before deadlines or opportunities close
Near-perfect accuracy reading and extracting critical details from medical documents
50,000+ documents analyzed monthly—at a scale no human team could match alone
Lift in claims overturn rates compared to manual review
Building production-grade AI for healthcare revenue cycle is an engineering problem. So we engineered accordingly—novel RAG architectures and multi-agent systems designed for enterprise scale, where errors have real financial consequences.
That drove us to build ClaimIQ—three integrated platforms working as one: DocIQ for complex document extraction and appeal generation, ContractIQ for payer contract intelligence, and ClinIQ for clinical evidence analysis.
Healthcare generates a staggering volume of unstructured documents—non-standard tables, conflicting medical records, ambiguous clinical notes.
DocIQ applies AI purpose-built for this complexity, extracting the right information reliably and at enterprise scale.
Payer contracts are dense, inconsistent, and critical to every reimbursement decision.
ContractIQ gives Aspirion’s team instant access to the specific terms, rates, and clauses buried across thousands of pages—answering in seconds with citations to the exact location in the source document.
Every denial is an opportunity to learn and inform strategies for future denial prevention.
ClinIQ analyzes clinical evidence behind each claim to assess case strength based on provider documentation—delivering detailed insights, a data-rich feedback loop, and more proactive denials management.
