Catch nuanced billing, coding, and contract errors both pre- and post-pay to maximize reimbursement and reduce waste.
Our advanced AI and machine learning models identify insurer specific patternsto enable tailored coding with exceptional accuracy
Share billing data securely without disrupting existing workflows.
AI + billing experts catch errors others miss, across every claim.
Bring medical evidence into decisions for confident, shareable outcomes.
Convert findings into recoveries with clear, auditable documentation.
Roughly 40% of preventive care denials in the U.S. arise from incorrect physician billingatient outcomes year over year. processing errors. When claims are denied, costs are either shifted to patients as unexpected out-of-pocket charges or absorbed by practices as unreimbursed care. This creates a silent source of revenue leakage for health systems and clinics and avoidable costs for patients
These inappropriate out-of-pocket charges impose an estimated annual financial burden of $75 to $219 million for services that should be provided at no cost to patients.
Our models are purpose-built to address the unique complexity of preventive care billing—unlike general-purpose platforms that rely on static rules—while adapting to patient insurance context and payer requirements.
FREQUENTLY ASKED QUESTION
Eliminate inappropriate out-of-pocket costs for patients. Streamline and accelerate the claims appeals process