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XpertDox

The startup offers a revenue cycle management platform that automates tasks such as data entry, claims processing, and payment posting while integrating with electronic health record systems. This technology enhances operational efficiency and financial performance for healthcare administrative staff, addressing the challenges of claim denials and compliance management.

Traction 10/10
Scottsdale, United States · HQ
Founded 20158410K+ followers
  • Artificial Intelligence
  • Digital Health
  • Enterprise Software
  • Financial Technology
  • Healthcare Technology
  • Software Only
Updated today

Funding

Raised to date

$22.5MRaised 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.

across 3 rounds

BAKPSG

$20M · Series A

Announced Nov 2026

Disclosed cumulative: $22.5M

3/3

Founders

1 founder

C. Lal

CEO

Product

Problem

Healthcare organizations face significant revenue cycle challenges from manual medical coding, including high error rates, claim denials, delayed claim submissions, and substantial administrative costs. Traditional coding processes are time-consuming, require large coding teams, and often miss optimal billing levels or applicable CPT codes, directly impacting financial performance and operational efficiency.

Solution

XpertDox offers XpertCoding, an AI-powered medical coding engine that automatically codes medical claims with high accuracy and speed. The platform uses hybrid AI combining ensemble models, neural networks, symbolic reasoning, and payor guidelines to code clinical encounters, increasing charge capture, reducing denials, lowering costs, and shortening charge-entry lag. Claims are submitted daily, including weekends and holidays, with over 94% submitted within 24 hours. The solution integrates with electronic health record systems and includes a Business Intelligence Platform for performance analysis, enabling data-driven decisions on billing levels, claim volume, and provider performance.

Target Audience

Primary customers are healthcare organizations including Federally Qualified Health Centers (FQHCs), urgent care centers, primary care, pediatric care, behavioral health clinics, orthopedic facilities, dental and multispecialty medical groups, health systems, and RCM organizations.

Features

  • Hybrid AI engine combining ensemble models, neural networks, and symbolic reasoning with payor guidelines for coding precision
  • Over 99% coding accuracy with automated CPT code capture and optimal level of billing
  • Claims submitted every day including holidays, with >94% submitted within 24 hours and remaining <6% within 48 hours
  • Business Intelligence Platform with dashboards for Fee-for-Service, Quality Measures, and Risk Adjustment (HCC) coding
  • Daily reports covering level of billing, claim volume, and provider performance
  • Scalable design that adapts to seasonal demand and business growth
  • EHR integration for seamless data entry and retrieval
  • Automated Category II coding for quality score improvement
This profile is AI-generated and may contain inaccuracies.