Infinia ML
Infinia ML builds AI that reads medical records and payer contracts for hospital revenue-cycle teams.
Operating headquarters
Durham, NC, USFounded
2017Infinia ML builds AI that reads medical records and payer contracts for hospital revenue-cycle teams.
Infinia ML's models are trained on real claims data spanning hundreds of payers and providers rather than on generic rules, so contract parsing reflects actual payer-provider agreements and reimbursement logic holds up claim by claim. Every recommendation carries a cited evidence trail back to the source document.
That domain grounding shows in throughput: first appeals are filed more than twice as fast as manual review, document extraction runs at near-perfect accuracy, and claims overturn rates rise against a manual baseline. Placement inside Aspirion adds direct distribution to an established health-system client base.
Source: infiniaml.com
Infinia ML sells through an enterprise contact-sales motion rather than self-serve signup: buyers reach the company through a general contact form, no pricing is published, and inquiries route to its parent Aspirion's domain. Its buyer is the hospital and health-system revenue-cycle organization, reached through Aspirion's existing client base.
Distribution leans on the parent's account relationships and its industry standing, including KLAS recognition in denials management and the HITRUST certification health systems require of vendors handling patient data. Infinia ML carries no sales, account-executive, or partnership roles of its own, so demand generation rides on Aspirion's commercial team.
Source: infiniaml.com
ClaimIQ is an AI platform that reads unstructured clinical and billing documents for hospital revenue-cycle teams. DocIQ interprets hospital billing claim forms and medical records, then drafts appeal letters grounded in clinical guidelines, payer policies, and regulations. ContractIQ parses payer agreements into structured rule databases and calculates expected reimbursement from claim data, Medicare fee schedules, and CMS weight tables.
ClinIQ closes the loop by turning denial outcomes into clinical insight, flagging documentation gaps and recurring payer patterns before claims are resubmitted. The three components run as one workflow rather than separate tools, so evidence gathered in one stage carries into the next.
Source: infiniaml.com