
Taxo
AI-powered platform that automates medical billing and coding for healthcare providers, aiming to reduce administrative costs and improve efficiency in healthcare.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
* | $5.0m | Seed | |
Total Funding | 000k |
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Taxo.ai Inc. is a San Francisco-based company operating in the healthcare technology sector, specifically focusing on automating administrative tasks for healthcare providers and payers. The company was founded in 2024 by Dr. Ahmed Kerwan, a practicing physician who experienced firsthand the administrative burdens that detract from patient care. This personal experience motivated him to pursue a fellowship at Harvard and MIT to explore the applications of AI in healthcare, which ultimately led to the creation of Taxo.
The company's core offering is a proprietary AI-powered data extraction and reasoning engine named Apex™. This platform integrates with existing electronic health records (EHRs) to automate a wide range of administrative workflows. For healthcare providers, Taxo automates patient intake, benefits verification, prior authorizations, medical coding, claim submissions, and the management of denials and appeals. For payers, the platform streamlines claim intake, eligibility verification, adjudication, and denial management, while also providing data analytics and reporting to identify inefficiencies. By handling unstructured data from sources like PDFs and faxes, Taxo aims to significantly reduce the time and costs associated with claims processing, reporting a reduction of over 90% in some cases.
A key feature of Taxo's technology is its model-agnostic approach. Instead of developing its own foundational AI model, the company utilizes a "meta-layer" that sits on top of existing large language models, allowing it to adapt quickly to new advancements in AI. This engine is designed to be fully compliant with HIPAA and SOC2 standards, ensuring data security. Furthermore, to build trust with medical professionals who are often wary of "black box" solutions, every decision made by the AI is explainable and auditable, with direct references back to source documents. The company has reported achieving a 98% pre-authorized approval rate, a significant increase from the industry average. In March 2025, Taxo announced a $5 million seed funding round led by Y Combinator, General Catalyst, and Character, with the capital intended to further develop its AI platform and expand its team. The company serves clients including hospitals, physician offices, government agencies, and insurance companies, with notable clients such as Mass General Brigham, Stanford Medicine, and Boston Children's Hospital.
Keywords: healthcare administration automation, medical billing AI, revenue cycle management, prior authorization automation, medical coding software, claim processing AI, healthcare data extraction, AI reasoning engine, electronic health records integration, payer provider communication, denial management, HIPAA compliant AI, SOC2 compliant healthcare, clinical documentation AI, Apex language model, Dr. Ahmed Kerwan, Y Combinator healthcare, General Catalyst portfolio, healthcare workflow automation, patient intake automation