AKASA

Overview
News
Hospital Management?
Product stageSegments
Expansion
?
Revenue cycle management
?

AKASA is a healthcare technology company that leverages advanced generative AI and machine learning models to address administrative inefficiencies and financial challenges in the revenue cycle management (RCM) process. Their AI solutions are specifically trained on vast amounts of clinical and financial data to comprehend the nuances of the healthcare industry.

AKASA's platform is powered by large language models and generative AI capabilities akin to ChatGPT, but optimized and tailored for the healthcare domain. Their AI understands clinical context, grasps the intricate details of health systems, and is designed to integrate directly into staff workflows, enabling automation of routine tasks and improving operational efficiencies.

The company takes an "expert-in-the-loop" approach called Unified Automation, which combines machine learning with human expertise. This allows their technology to adapt to the dynamic nature of revenue cycle operations while benefiting from the judgement of AKASA's in-house team of RCM veterans with an average of over 15 years of industry experience.

AKASA's solutions aim to reduce the substantial administrative waste associated with billing and insurance communication failures, estimated at over USD 500 billion annually in the USD 4 trillion healthcare industry. By automating comprehensive and complex tasks, AKASA enables healthcare providers to reallocate staff toward patient-facing activities and enhance care delivery.


Sources

Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
400 Oyster Point Blvd Suite 222 San Francisco CA USA
Founded year:
2018
Employees:
101-250
IPO status:
Private
Total funding:
USD 205.0 mn
Last Funding:
USD 120.0 mn (Series C; Jun 2024)
Last valuation:
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