Chorrie provides an on-demand workforce of AI agents designed to automate repetitive Revenue Cycle Management (RCM) tasks for healthcare providers. This platform handles coding, billing, insurance follow-up, and denial management directly within existing EHRs and payer portals without requiring complex integrations. By deploying these purpose-built AI agents, Chorrie reduces administrative overhead and labor spend while improving operational efficiency in healthcare finance.
Funding
$500K 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
Medical claims processing is often slowed by manual verification, leading to formatting errors and rejected claims. This results in delayed payments and increased administrative costs for healthcare providers.
Solution
Chorrie is a no-code platform that leverages AI and large language models (LLMs) to automate medical claims verification. The platform allows medical professionals to build custom billing automation workflows tailored to their specific needs. By identifying and correcting common billing errors before submission, Chorrie enhances billing accuracy and increases the clean claims rate. This ultimately reduces accounts receivable turnaround time and improves revenue cycle management for healthcare practices.
Target Audience
Chorrie's primary customers are healthcare practices and medical billing companies seeking to automate their claims processing, reduce errors, and improve revenue cycle efficiency.
Features
- Automated correctness checks for outgoing claims to identify and correct common billing errors.
- No-code interface for building custom billing automation workflows.
- API integration for asynchronous checks or scheduled jobs directly from EHR or internal data sources.
- HIPAA-compliant data handling with zero-retention policies with LLM providers.
- Private and secure environment ensuring patient data safety.