AKASA

AKASA builds AI for healthcare revenue-cycle operations, with its current platform emphasizing inpatient coding and clinical documentation improvement. It reads the patient record and applies a health system’s documentation patterns, case mix and coding standards to support accurate reimbursement.

Autonomous Coding produces codes with supporting evidence, subject to the organization’s quality thresholds. The Prebill Optimization Suite combines Coding Optimizer and CDI Optimizer to identify missed opportunities, documentation gaps and compliance risks before billing.

AI Advisor helps revenue-cycle staff find answers and source material, while Auth Status and Claim Status automate administrative follow-up. AKASA’s implementation adapts to the individual health system rather than treating every provider’s rules and clinical documentation as interchangeable.

• Inpatient coding
• Revenue cycle
• Clinical documentation
• Coding standards
• Patient records
• Evidence review

Funding

$60 million Series B (March 2021)