80% of health systems are taking action on GenAI in the revenue cycle. READ THE NEW REPORT.

careers | ENGINEERING

Engineering
at AKASA

We research, build, and implement solutions that improve the financial complexities of healthcare.
a circle of documents representing CDI documentation

Have an impact

Join our team and help fix healthcare

Have you ever been surprised by a medical bill? Most Americans have.

The revenue cycle (commonly referred to as medical billing) is the invisible financial infrastructure of healthcare. It’s also incredibly complicated. At AKASA, we’re using advanced technology (including generative AI, large language models, and machine learning) to help fix that.

We’re one of the first companies to deploy GenAI for practical use cases within the industry. Leading health systems across the country use our solutions every day and see incredible results.

And this is just the beginning.

Our Team

machine learning
machine learning

Machine learning

Productizing R&D to learn complex tasks from human experts.

platform

Core platform

Building a GenAI-powered platform trained on health system data.

deployment

Product engineering

Delivering full-service, innovative solutions for our clients.

Building bonds beyond code

Setting new standards for healthcare technology

Our offerings are built on the AKASA Platform, which integrates our proprietary generative AI technology and deep revenue cycle expertise to deliver exceptional impact for hospitals, health systems, and the patients they serve. We're the only AI company whose technology is trained on a health system’s own clinical data, enabling us to better understand an organization's specific nuances.

companies
companies
companies

AKASA is hiring

The engineering team embraces a work-from-anywhere attitude, where everyone is welcome.

Published research

employee using pen to touch folders on screens

Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

Accepted to MLHC 2021

READ PAPER ON ARVIX

employee using pen to touch folders on screens

Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

Accepted to MLHC 2021

READ PAPER ON ARVIX

employee using pen to touch folders on screens

Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

Accepted to MLHC 2021

READ PAPER ON ARVIX

employee using pen to touch folders on screens

Payer Response Prediction from Claims Date With Deep Learning

Accepted to ICML2020

READ PAPER ON ARVIX

employee using pen to touch folders on screens

Payer Response Prediction from Claims Date With Deep Learning

Accepted to ICML2020

READ PAPER ON ARVIX

employee using pen to touch folders on screens

Payer Response Prediction from Claims Date With Deep Learning

Accepted to ICML2020

READ PAPER ON ARVIX