
Founded by Ahmed Kerwan
Ahmed Kerwan, a practicing physician, experienced firsthand the immense burden of paperwork that detracted from his ability to provide care. Determined to find a solution, he pursued a fellowship at Harvard to explore the intersection of AI and healthcare.
In short, medical billing and coding allow healthcare providers to get paid for their services. However, the way it’s currently done is still largely manual and can take several hours per patient. In 2023, the U.S. healthcare system spent $4.8 trillion, with over 35% of costs attributed to administration, much of which stems from the need to manage vast amounts of unstructured and fragmented data. This situation results in healthcare professionals spending more time on paperwork than on patient care, which reduces service capacity, delays treatment, and drives up costs.

Taxo is starting by focusing on prior authorization, which requires the provider to get an agreement from the payer to cover specific treatments or medications. This process currently requires manually going through hundreds—sometimes thousands—of records to extract evidence and prove ‘medical necessity’ to the payer. By leveraging AI, Taxo has been able to reduce the amount of time it takes by 90%. Providers across the US invariably say this has been life-changing for them!
Prior authorizations are just the beginning. Taxo has already started working with their providers to build for other aspects of the medical billing and coding process: claim denials, insurance verification, patient letters etc. The founders believe humans in healthcare should focus on what they do best, caring for patients, and let AI handle the rest.
Medical billing and coding are relevant in all sorts of places. If you know decision-makers in any of these organizations, the founders would be super grateful for an introduction via email!
And tell them not to worry about hallucinations. All Taxo's output is referenced and directly links back to the original patient records!