Products

Generative AI for Healthcare Revenue Cycle
AKASA
Medical Billing & RCM
AKASA offers generative AI solutions for the healthcare revenue cycle, utilizing AI trained on clinical and financial data to reduce denials, improve margins, and increase revenue for health systems. It provides tools for prebill optimization, coding, CDI, AI-powered assistance, and automated authorization and claim status checks.

See all 1 product →

About AKASA

AKASA is a leading healthcare AI company specializing in advanced generative AI solutions for healthcare revenue cycle management. The company’s platform integrates proprietary generative AI technology with deep revenue cycle expertise, uniquely trained on a health system’s own clinical and financial data to understand specific nuances. This approach enables AKASA to streamline complex workflows, enhance operational efficiency, and improve financial outcomes for healthcare providers.

AKASA’s solutions are designed to address critical pain points in the revenue cycle, offering tools for areas such as prior authorization processes, coding recommendations to improve accuracy and comprehensiveness, automated claims status updates, and prebill optimization. By automating these tasks and providing intelligent insights, AKASA empowers revenue cycle teams to reduce administrative burdens, minimize denials, and ensure more accurate and timely reimbursements.

Ultimately, AKASA aims to help healthcare organizations improve revenue yield, achieve greater efficiency, and enable staff to focus more on patient care by remedying financial complexity. Their client base includes over 650 hospitals and 6,500 outpatient facilities across all 50 states in the United States.

Focus Areas

healthcare revenue cycle management generative AI medical coding clinical documentation integrity automation denials management authorization management

Business Intelligence

Key InvestorsAndreessen Horowitz, Coatue Management, Cultural Leadership Fund, BOND Capital, Costanoa Ventures, Jim Momtazee
PartnershipsCleveland Clinic, Nebraska Methodist
AcquisitionsNone
TechnologyCloud-native, proprietary generative AI (GenAI) technology, large language models (LLMs), trained on clinical and financial data, standards-based integrations with EHRs (API, EDI)

What Physicians Need to Know

Generative AI & Automation
AKASA leverages proprietary Generative AI (GenAI) and large language models (LLMs) specifically trained on clinical and financial data to automate and enhance complex revenue cycle workflows. Their Unified Automationu00ae platform learns and autonomously performs tasks, reducing manual effort.
Revenue Cycle Management (RCM)
Specializes in end-to-end RCM solutions, transforming processes from prior authorization and medical coding to claims management and denials appeals. The goal is to improve efficiency, reduce administrative burdens, and enhance financial outcomes for health systems.
Medical Coding & Clinical Documentation Integrity (CDI)
Offers GenAI-powered solutions like the Prebill Optimization Suite, Coding Optimizer, and CDI Optimizer to unify coding and CDI. These tools close documentation gaps, ensure accuracy, surface missed coding opportunities, and improve overall quality and compliance.
Denials Management
Automates denials appeals and actively works to reduce denied claims, contributing to stronger margins and improved revenue capture for healthcare providers.
Authorization Management
Streamlines prior authorization processes, including initiation and status checks, significantly reducing the manual follow-ups and administrative burden associated with obtaining authorizations.
Key Differentiators
AKASA stands out by building custom LLMs uniquely tailored to each health system's clinical and financial data, offering a 'human-in-the-loop' model for continuous learning and expert validation, and providing transparency with AI-generated justifications and direct chart references. They combine deep RCM expertise with cutting-edge AI.
Technology Stack
Their data-heavy stack includes Kubernetes, dbt, Redshift, PostgreSQL, Prefect, Grafana, and AWS CloudWatch. Core AI components utilize Llama and Claude, with standards-based integrations like FHIR and HL7.
Physician Tip

For physicians, AKASA's solutions translate directly into a reduced administrative burden, allowing more focus on patient care. By automating prior authorizations, improving coding accuracy, and streamlining denials management, practices can experience faster and more accurate reimbursements, fewer claim rejections, and improved financial stability. The AI-powered tools enhance the efficiency of revenue cycle teams, indirectly supporting clinical operations by ensuring financial health and reducing staff burnout.

AKASA's platform is designed for seamless integration with existing healthcare systems, including major Electronic Health Records (EHRs) such as Epic, Cerner, and Meditech. They utilize standards-based integrations (e.g., APIs, EDI) to connect smoothly with clinical data repositories, ensuring compatibility and minimizing disruptions to operational workflows during implementation.

Products by AKASA

1 product in the directory

Generative AI for Healthcare Revenue Cycle
AKASA
Medical Billing & RCM
AKASA offers generative AI solutions for the healthcare revenue cycle, utilizing AI trained on clinical and financial data to reduce denials, improve margins, and increase revenue for health systems. It provides tools for prebill optimization, coding, CDI, AI-powered assistance, and automated authorization and claim status checks.

Reviews & Opinions

No web reviews on file yet for AKASA. Check back later for aggregated opinions from across the web.

Videos

News, demos, and interviews about AKASA.

Loading videos...

Videos load interactively. If none appear, search YouTube for AKASA →

View all on YouTube

Press & Coverage

AKASA Press Release
AKASA Named One of the Top Healthcare Technology Companies of 2026
AKASA was recognized by the Healthcare Technology Report as one of the top healthcare technology companies of 2026 for its generative AI solutions in healthcare revenue cycle management. The company's AI helps health systems improve accuracy and strengthen clinical documentation and coding.
2026-07
AKASA Blog / Becker's Healthcare Podcast
How AI Is Reshaping Healthcare's Next Decade
AKASA CEO Malinka Walaliyadde discussed on a Becker's Healthcare podcast how AI is transforming healthcare operations, emphasizing the opportunity for AI to tackle complex, high-impact work in the revenue cycle. The conversation highlighted the shift from simple automation to using large language models for understanding clinical records and improving financial performance.
2026-07
AKASA Press Release
AKASA Launches Authorization Advisor, First in a Suite of Generative AI Assistants To Optimize Revenue Cycle for Healthcare Providers
AKASA launched Authorization Advisor, the first of its generative AI assistants designed to optimize revenue cycle management for healthcare providers. This new tool helps prior authorization specialists efficiently complete authorization submissions across various payer portals and EHR systems.
2024-03
Becker's Hospital Review
AKASA named among fastest growing generative AI startups to watch - Becker's Hospital Review
AIM Research recognized AKASA as one of the 'Fastest Growing GenAI Startups to Watch in the U.S. 2024' for its groundbreaking solutions that merge advanced AI technology with healthcare operations to streamline revenue cycle management. AKASA was one of only two healthcare companies on the list.
2025-01
Cleveland Clinic Newsroom
Cleveland Clinic and AKASA Announce Strategic Collaboration to Launch AI Tools for the Revenue Cycle
Cleveland Clinic and AKASA partnered to deploy generative AI tools to enhance efficiency and accuracy in medical coding practices across Cleveland Clinic's U.S. locations. This collaboration focuses on the mid-revenue cycle, aiming to improve documentation and coding accuracy.
2025-04
Digital Health News
Cleveland Clinic Expands AKASA Partnership for GenAI-Powered CDI and Coding
Cleveland Clinic expanded its partnership with AKASA to deploy a generative AI-powered Clinical Documentation Integrity (CDI) solution across all its U.S. locations, following the successful implementation of AKASA's AI coding tool. This initiative aims to enhance accuracy and efficiency in the mid-revenue cycle.
2025-11
Fierce Healthcare
Adoption of AI for hospital RCM surges, but cost, operational constraints slow progress - Fierce Healthcare
A survey by HFMA and AKASA revealed that 80% of health systems are exploring, piloting, or implementing generative AI tools for revenue cycle management in 2025, a significant increase from previous years. Finance leaders see opportunities in identifying missed reimbursement and documentation gaps.
2025-12
AKASA Blog
Elevating Our Business and Our Brand: AKASA Secures Additional Funding
AKASA announced a $60 million Series B funding round led by BOND, with participation from Andreessen Horowitz (a16z) and Costanoa Ventures. This funding will help scale operations, accelerate product delivery, and expand market presence for their generative AI platform in healthcare revenue cycle management.
2021-03

Frequently Asked Questions

AKASA leverages generative AI (GenAI), trained on clinical and financial data, to power its platform and solutions across the entire revenue cycle. This technology helps automate complex workflows, reduce denials, improve margins, and increase revenue by understanding clinical context and optimizing tasks from prior authorization to claims management.
AKASA offers a Prebill Optimization Suite, which includes the Coding Optimizer and CDI Optimizer, both powered by GenAI. The Coding Optimizer surfaces missed coding opportunities and boosts revenue integrity, while the CDI Optimizer uncovers documentation gaps and enables accurate patient documentation with a GenAI assistant.
AKASA's AI-powered automation streamlines complex and time-consuming tasks such as denials management and prior authorization status checks. By automating these processes, AKASA helps reduce manual follow-ups, improve turnaround times, and free up staff to focus on more complex cases. This ultimately leads to a reduction in claim denials and improved operational efficiency.
AKASA's security infrastructure is HIPAA-compliant and built on industry standards like HITRUST CSF, SOC 2, NIST-800-53, and CIS. They employ ZeroTrust VPN, FIPS 140-2 compliant encryption for data at rest and in transit, 24/7 monitoring, and detailed incident response policies to protect patient data.
AKASA primarily uses a SaaS model with multi-year enterprise contracts, often based on recurring subscription fees tied to claims volume or total patient accounting throughput. While specific pricing isn't publicly disclosed, their offerings are designed to deliver measurable improvements in efficiency and cost reduction, and they typically include free setup, training, and support.
AKASA has formed significant partnerships with major health systems like Cleveland Clinic and Duke University Health System, demonstrating the adoption and effectiveness of their solutions. The company's long-term viability is supported by its focus on GenAI for the revenue cycle, continuous product development, and recent funding rounds, including a USD 120 million investment in June 2024.

Investors

Who's funded AKASA.

Related Companies

e4health is a healthcare consulting and services company that provides innovative solutions to hospitals, health systems, outpatient providers, and physician practices. The company focuses on addressing data, quality, and revenue challenges within the healthcare ecosystem. Their services are designed to streamline health information data and workflows, optimize coding, quality, and clinical documentation integrity processes, and […]

PayZen is a healthcare fintech company that leverages AI and automation to address the growing challenge of healthcare affordability for patients and financial stability for providers. The platform offers personalized, interest-free payment plans, extending up to 60 months, tailored to each patient’s ability to pay. This approach aims to remove financial barriers to care, allowing […]

Healthcare Finance.AI is dedicated to optimizing healthcare revenue cycles through cutting-edge AI technologies. The company aims to improve financial outcomes for healthcare providers while supporting their commitment to quality care and efficiency. Their solutions are designed to enhance revenue cycle efficiency, reduce claim turnaround times, and improve patient billing accuracy. Their platform leverages advanced analytics […]

The American Academy of Family Physicians (AAFP) is one of the largest national medical organizations in the United States, representing over 130,000 family physicians, residents, and medical students. Founded in 1947, its core mission is to improve the health of patients, families, and communities by serving the needs of its members with professionalism and creativity. […]

Imperial College Business School, a faculty of Imperial College London, is a leading institution that integrates business education with science, engineering, medicine, and technology. For physicians and healthcare providers, the Business School offers specialized programs and research focused on the intersection of AI, digital transformation, and healthcare management. Their curriculum is designed to equip healthcare […]

Columbia University, through its online learning platform edX, offers a range of educational programs, including those focused on artificial intelligence and its applications in healthcare. While not a direct AI product company, Columbia University provides foundational and advanced courses that equip physicians and healthcare providers with the knowledge and skills to understand, evaluate, and potentially […]

AI Tool Finder
AI-powered search. Results may not be comprehensive.