White-Label AI Coding & RCM Solutions for BPOs
Scale your medical billing BPO automation. Our multi-tenant medical coding software serves as the technology backbone for RCMs, enabling you to expand faster, improve accuracy, and increase operational efficiency without doubling headcount.
A Mutual Win for BPOs and Their Clients
Revedy's AI engine is designed to drive profitability for your operations while delivering superior SLA accuracy and reduced denials for your healthcare clients.
For the BPO: Scale & Margin
Medical Coder Workforce Multiplier
Process higher claim volumes with your existing team. Turn data-entry coders into high-level auditors.
Reduce Cost-to-Collect
Automate the grunt work of chart review and code assignment, protecting your EBITDA margins.
Multi-Tenant Architecture
Keep different client data and EMR rules securely separated but accessible in one unified platform.
For the Client: Accuracy & Revenue
Pre-Bill Coding Accuracy AI
Catch NCCI edits and missing modifiers before the claim is generated, ensuring SLA error rates stay low.
Denial Prevention Software
Link coding directly to revenue outcomes by validating medical necessity against payer-specific rules.
Audit & Clawback Protection
Every code is backed by exact citations from the clinical note, reducing risk in highly regulated niches.
Enterprise-Grade Infrastructure
EMR-Agnostic AI Coding
Inherit whatever EMR your clients use (Epic, Cerner, eClinicalWorks). Our software sits on top of all of them.
API Medical Coding Integration
Build our AI directly into your proprietary billing engines with our robust, developer-friendly API.
Enterprise Security
HIPAA compliant, SOC 2 certified, and BAA standard. We protect your clients' PHI with enterprise-grade security.
Human-in-the-Loop
AI doesn't replace your team; it augments them. Our ICAT interface keeps your expert coders in control.
Ready to Transform Your BPO Operations?
Explore how Revedy AI can specifically impact your business model, or schedule a discovery call to see the platform in action.
