Waystar provides an AI‑driven revenue cycle management platform that automates claim creation, eligibility verification, and payment posting for hospitals and physician groups. The solution uses generative AI, NLP, and RPA to generate claim narratives, apply payer rules, predict denials, and integrate with EHRs via FHIR/HL7 APIs, delivering real‑time analytics and reducing manual billing errors.
Funding
$709.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare providers face fragmented revenue cycle workflows, manual eligibility checks, and high claim denial rates that delay cash flow and increase administrative overhead. Inconsistent data entry and lack of real‑time analytics further impede accurate reimbursement and financial forecasting.
Solution
Waystar delivers an AI‑driven revenue cycle management platform that automates end‑to‑end financial processes for providers. Generative AI creates claim narratives and populates billing fields, while natural‑language processing extracts payer rules to reduce manual coding errors. Robotic process automation (RPA) bots handle eligibility verification, claim submission, and payment posting across multiple payer portals. Machine‑learning models continuously monitor claim outcomes, flagging potential denials and recommending corrective actions in real time. The solution integrates via FHIR‑compatible APIs with EHRs and practice management systems, providing a unified dashboard that visualizes key performance indicators and accelerates reimbursement cycles.
Target Audience
Primary customers are hospitals, health systems, and physician group practices that manage high volumes of claims and seek to streamline their revenue cycle operations.
Features
- Generative AI engine that auto‑generates claim documentation and populates CPT/ICD codes based on clinical notes
- NLP‑powered payer rule engine that parses policy updates and applies them to billing logic in real time
- RPA bots for automated eligibility checks, claim submission, and electronic remittance advice (ERA) posting across over 200 payer connections
- Machine‑learning denial prediction model with root‑cause analysis and automated appeal workflow generation
- Cloud‑native microservices architecture with FHIR and HL7 interfaces for seamless EHR and practice management integration
- Real‑time analytics dashboard offering KPI tracking (e.g., days in AR, denial rate, net collection) and customizable alerts
- HIPAA‑compliant data encryption, role‑based access control, and audit logging for secure handling of PHI