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Insurance companies are systematically replacing human claims adjusters with automated rejection systems, and the results are predictably messy. Medical practices now face a daily barrage of wrongly rejected claims—misapplied denial codes, hallucinated rejections, and arbitrary prior-auth denials. The problem is structural: when an insurer's algorithm misinterprets a patient file, the clinic bears all the burden of proof. A single appeal requires billing staff to manually dig through multi-page payer policy documents, extract chart notes, and draft customized responses. Most practices lack the headcount to contest every erroneous denial, so millions in legitimate revenue either goes unpaid or gets shifted to patients as unexpected bills.
Korex targets this exact friction point with a verification platform that automatically cross-references payer denial codes against clinical charts and specific insurance policies. When it spots a misclassified denial, it generates a policy-backed appeal package in one click—no manual policy document hunting required. The business model is straightforward: $299/month per clinic for up to 100 appeals, then $5 per appeal beyond that threshold, with enterprise API pricing for larger billing services. The go-to-market strategy leans on a free "Denial Code Auditor" web tool for SEO traction, programmatic landing pages targeting individual payer denial codes, and an open-source library on GitHub to reach healthtech builders and practice managers directly.
The moat here comes from building a knowledge graph that maps payer policy rules directly to successful appeal outcomes, combined with deep integration into clinic workflows. Competitors like Cohere Health and Notable Health chase generic revenue cycle automation, but Korex stays narrow and specific—pure denial auditing precision that generic AI scrapers can't replicate. The timing works because insurance automation has already moved fast while clinical guidelines shift constantly (migraine prevention treatments, for example), leaving manual billing updates perpetually behind. Clinics need an automated defense engine that keeps pace with evolving payer rules.
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