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

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.

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

AKASA is hiring

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

Engineering talent at AKASA

Working at AKASA offers me a profound sense of purpose and fulfillment. I find immense satisfaction in knowing that our innovations directly contribute to enhancing the overall patient care experience. I’ve grown immensely as an engineer. I’m constantly presented with opportunities to expand my technical expertise and problem-solving skills. The collaborative atmosphere here at AKASA has been instrumental in my development; working with and learning from other talented and hard-working engineers offers me invaluable insights and new perspectives.

Aalique Grahame   Software Engineer

Engineering videos

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

Payer Response Prediction from Claims Date With Deep Learning

Accepted to ICML2020

READ PAPER ON ARVIX