Search company, investor...
AKASA company logo


Founded Year



Series B | Alive

Total Raised


Last Raised

$60M | 2 yrs ago


AKASA operates as artificial intelligence (AI) powered automation company. It uses machine learning to provide health systems with a single solution for automating revenue cycle operations. It was founded in 2018 and is based in South San Francisco, California.

Headquarters Location

400 Oyster Point Boulevard Suite 222

South San Francisco, California, 94080,

United States


ESPs containing AKASA

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Healthcare & Life Sciences / Health Insurance & RCM Tech

The healthcare robotic process automation market aims to address the inefficiencies and burdensome manual processes in the healthcare system, particularly in revenue cycle and utilization management. Technology vendors offer solutions that leverage artificial intelligence, robotic process automation, and process intelligence to automate administrative tasks, improve data interoperability, and redu…

AKASA named as Challenger among 8 other companies, including Cedar, Olive, and Notable.

Compete with AKASA?

Ensure that your company and products are accurately represented on our platform.

AKASA's Products & Differentiators

    Unified Automation

    Unified Automation is a flexible AI-based solution that operates within a healthcare system’s existing electronic health record (EHR) and revenue cycle infrastructure, automating complex administrative tasks, reducing errors, and improving efficiencies. Our expert-in-the-loop technology works with AKASA’s team of in-house revenue cycle experts to ensure that exceptions and edge cases are resolved - seamlessly blending human judgment and subject matter expertise with machine learning.

Research containing AKASA

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned AKASA in 5 CB Insights research briefs, most recently on Oct 14, 2022.

Expert Collections containing AKASA

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

AKASA is included in 6 Expert Collections, including Artificial Intelligence.


Artificial Intelligence

10,627 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


Health IT

2,952 items

Companies partnering with healthcare stakeholders to improve operational efficiency across payment, supply chain, data mgmt, and more.


Biopharma Tech

5,241 items

Companies involved in the research, development, and commercialization of chemically- or biologically-derived therapeutic & theranostic drugs. Excludes vitamins/supplements, CROs/clinical trial services.


Digital Health 150

300 items

The winners of the second annual CB Insights Digital Health 150.


Digital Health

10,341 items

The digital health collection includes vendors developing software, platforms, sensor & robotic hardware, health data infrastructure, and tech-enabled services in healthcare. The list excludes pureplay pharma/biopharma, sequencing instruments, gene editing, and assistive tech.


Digital Hospital

200 items

AKASA Patents

AKASA has filed 7 patents.

The 3 most popular patent topics include:

  • Content management systems
  • Electronic documents
  • Calling features
patents chart

Application Date

Grant Date


Related Topics




Artificial neural networks, Machine learning, Deep learning, Artificial intelligence, Classification algorithms


Application Date


Grant Date



Related Topics

Artificial neural networks, Machine learning, Deep learning, Artificial intelligence, Classification algorithms



Latest AKASA News

The Role of Artificial Intelligence in Medical Diagnostics

May 30, 2023

The application of artificial intelligence (AI) is expanding in medicine. It has improved, particularly in the diagnosis and the administration of medication. In recent times, various studies have investigated how AI might improve clinical decision-making. Accurate diagnosis is an essential component of all healthcare systems worldwide. The repercussions that a misdiagnosis can have on a patient are common knowledge. In this context, AI diagnosis, with a minor to nonexistent margin of error, plays an important role. Traditional methods, and AI-based approaches complement the interpretation of results by healthcare specialists. Doctors and nurses receive great help from the inclusion of AI-based tools. As a student, you can tell why you chose nursing in essay if you want to step into the medical field as a nurse. Recently, machine learning has developed vital tools that assist physicians in making diagnoses. Artificial intelligence can become a powerful support tool for healthcare specialists. It aids in handling a vast workload by supporting the diagnosis. Find out the role AI has to play in medical diagnosis. Table of Contents The Role AI Plays in Today’s Medical Diagnosis Artificial Intelligence (AI) has changed healthcare and medical analysis over time. Today, doctors and nurses have access to automated medical test results and biomarkers that can predict what will happen. Now, unlike years ago, many standard laboratory tests can be done by AI-powered programs. With clinical documentation tools that use AI, a doctor can do less work. This lets them focus on solving the system’s simple medical problems. With AI in medicine, doctors and nurses always discover new things about health. At school, medical students learn about how Artificial Intelligence can be used to make medical diagnoses. From being exposed to AI at a young age, they learn how AI improves medical care. It makes it easier for doctors and nurses to do their jobs. By writing a study paper, a student can find out how AI works together to make patient care better. Data and algorithms are becoming more common because the healthcare business needs them. AI Tools that Assist Medical Diagnosis Below is an overview of some of the most notable applications of AI that aid AI medical diagnosis: Enlitic Enlitic is an AI-powered platform for healthcare intelligence. It works to increase the precision of health data. This tool aims to improve patient care by providing a precision diagnosis. It also offers clinical decision support. This method can assist in the early detection of health issues. Thus, it enhances treatment decisions. It helps give a more accurate picture of the patient’s health. Enlitic intends to make data-driven care more available to patients. It offers patients access to their medical records in a safe environment. Twill Twill is reshaping the healthcare industry. It achieves this by integrating digital-first care with mental and physical health. Apps and tools focused on therapy and wellness can assist healthcare specialists. It aids in bridging the gap between treatment needs and available options. It employs techniques that enable individuals to take charge of their well-being. Twill recognizes trends in mental health through machine learning. It also applies natural language processing. Akasa Artificial intelligence assists in streamlining processes by automating administrative chores. This frees up employees to concentrate their efforts where they are most needed. The automation matches the specific requirements and goals of a facility. It also preserves accuracy in managing payments and revenue cycles. Microsure Surgeons can transcend the human physical restrictions they face because of Microsure robots. During surgical procedures, the motion stabilizer technology improves performance and precision. The company’s MUSA surgical robot can perform microsurgery. Engineers and doctors pioneered the design of this robot. Specialists can control it using joysticks The past decades have been critical in transforming the healthcare and diagnostic sector. The adoption of AI in medicine has progressed at a slower rate compared to other sectors. This is the result of broad requirements for data interchange and representation. The era of AI medical diagnosis in medicine has begun. Hence, the focus will increase on applying AI algorithms to various clinical conditions. This is to provide the most accurate diagnosis possible to patients. The application of AI in medicine has led to advancements in treatments. It influences patients’ experiences.

AKASA Frequently Asked Questions (FAQ)

  • When was AKASA founded?

    AKASA was founded in 2018.

  • Where is AKASA's headquarters?

    AKASA's headquarters is located at 400 Oyster Point Boulevard, South San Francisco.

  • What is AKASA's latest funding round?

    AKASA's latest funding round is Series B.

  • How much did AKASA raise?

    AKASA raised a total of $85M.

  • Who are the investors of AKASA?

    Investors of AKASA include Andreessen Horowitz, Costanoa Ventures, Bond and Jim Momtazee.

  • Who are AKASA's competitors?

    Competitors of AKASA include Janus and 5 more.

  • What products does AKASA offer?

    AKASA's products include Unified Automation.

Compare AKASA to Competitors


Flow Sigma is a medical imaging software company offering IPA and WFO software solutions and professional services for medical imaging specialties.

FelixHealthcare.AI Logo

FelixHealthcare.AI is a big data platform that uses machine learning to enhance patient engagement. DocSynk comprises a Patient Mobile App, a Doctor Platform and a powerful analytics engine.

Notable Logo

Notable is a AI platform that automates and structures every physician-patient interaction. It is a voice-driven app built for Apple Watch, which utilizes voice wake features that allow clinicians to complete an encounter. The smart assistant automatically structures conversations, dictations, orders, and recommends the appropriate billing codes.

Element5 Logo

Element5 develops healthcare intelligence software, quick deploy workflows, and Automation-as-a-Service that helps optimize home care. It was founded in 2019 and is based in San Jose, California.

Infinitus Systems

Infinitus Systems offers Voice Robotic Process Automation (VoiceRPA) software for businesses in the healthcare industry.

Waystar Logo

Waystar simplifies and unifies the healthcare revenue cycle with technology that empowers clients to collect more with less cost and less stress, so they can focus on their goals, patients, and communities.

Discover the right solution for your team

The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.

Request a demo

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.