Founded by two physician-scientists, the healthcare AI company is helping medical providers reduce administrative work and improve billing accuracy.
XpertDox has raised $20 million in a Series A led by Savant Growth, with financing support from Kennet Partners.
Founded in 2015 by Dr. Sameer Ather and Dr. Bhupesh Panwar, the Arizona-based company develops artificial intelligence technology for medical coding and healthcare revenue operations.
Its platform, XpertCoding, automatically translates clinical documentation into the standardized codes required for billing and reimbursement.
The Administrative Problem Behind Medical Care
Healthcare providers generate extensive clinical documentation during patient visits.
That information must be reviewed and converted into billing codes before insurance claims can be processed.
Mistakes can lead to payment delays, denied claims and costly manual reviews.
XpertDox uses proprietary machine learning models and rule-based systems to analyze electronic health records and generate codes.
The company reports that its software processes more than 91% of claims without manual intervention.
It also reports turnaround times below 24 hours and coding-related denial rates under 2%.
These results are company-reported operational metrics, not guarantees for every customer.
A Fast-Growing Healthcare AI Business
XpertDox says revenue doubled over the previous 12 months.
It also reported 126% net revenue retention and 95% customer retention.
The company processes millions of claims annually and is expanding its capacity to support larger healthcare organizations.
Its technology works with electronic health record systems including Epic, athenahealth, eClinicalWorks and NextGen.
Expanding Into Community Healthcare
XpertDox is targeting Federally Qualified Health Centers, which serve communities that often have limited access to healthcare.
These organizations operate with constrained administrative budgets and depend heavily on accurate reimbursement.
The company reports seven community health center customers across six US states.
Its new capital will support onboarding, engineering and expansion across medical specialties.
The opportunity is substantial because medical coding is an expensive and repetitive administrative function.
However, AI systems must maintain accuracy, patient privacy and regulatory compliance as their use expands.
XpertDox's next challenge is scaling automation while maintaining the reliability needed for clinical financial operations.
Sources: XpertDox; Business Wire (11 November).