Akasa

The company’s Claim Status Automation checks claim statuses to prioritize follow-up on problematic accounts.

Why leading health systems use AKASA CDI Optimizer to help capture missed quality, compliance, and revenue opportunities.

Why leading health systems use AKASA Coding Optimizer to review coded inpatient encounters and uncover missed revenue opportunities.

AKASA Auth Status helps health systems speed up status retrieval, keep up with volumes, and ease staff burden.

Clear, practical takes on how generative AI is reshaping coding, CDI, and the broader healthcare revenue cycle.

AKASA engineering leader reflects on four years of startup growth, AI-native healthcare engineering, LLMs, and product evolution.

Becker’s Healthcare Podcast: AKASA CEO Malinka Walaliyadde on generative AI, revenue cycle, LLMs, and health system impact.

The ACDIS 2026 recap discusses payer pressure, sampling limits, and quality risk facing CDI leaders, as well as the role of AI and 100% chart review.

AKASA names Nirav Kamdar VP of Clinical Strategy to advance AI revenue cycle solutions for health systems.

AKASA has been Certified by Great Place To Work for the sixth year in a row.

AKASA Named Best Place To Work by Built In 2026 - press release

AKASA named among top healthcare technology companies of 2026 for AI solutions in healthcare revenue cycle.

AKASA lists current job postings.

The page introduces leaders and advisors behind AKASA’s work to bring generative AI to the healthcare revenue cycle.

AKASA uses AI, ML, automation, and experts-in-the-loop in healthcare operations.

Talk with AKASA about using generative AI to capture the full patient story and protect revenue.

AKASA provides generative AI (GenAI) solutions for the healthcare revenue cycle, from prior auth to CDI to coding to claims management.

AKASA says it was started to use technology to address revenue cycle management challenges and that every dollar spent on healthcare matters.

GitHubRepository owner

AKASA introduces an autonomous AI platform for mid-cycle medical coding and clinical documentation, extending its AI capabilities beyond pre-bill review. The platform automates inpatient workflows to improve revenue cycle accuracy and documentation integrity. AKASA specializes in custom AI models tailored for healthcare revenue operations.

Oct 2026Built InNews article

AKASA introduces an AI-driven system that autonomously codes inpatient cases without human input. The tool marks another step in the company’s focus on automating mid-cycle revenue cycle management tasks. The solution aims to streamline coding processes traditionally handled by medical coders.

Oct 2026Rev Cycle ManagementNews article

AKASA introduces an autonomous AI platform designed to streamline inpatient medical coding and ensure clinical documentation integrity. The system automates workflows in revenue cycle management, addressing inefficiencies in hospital billing and record-keeping processes.

Oct 2026Fierce HealthcareNews article