AKASA Recognized by Forbes as One of America’s Best Startup Employers 2026

South San Francisco, Calif. — March 3, 2026 — AKASA, the leading provider of generative AI solutions for the healthcare revenue cycle, has earned a spot on Forbes’ list of America’s Best Startup Employers 2026. 

Presented in collaboration with Statista, the annual ranking recognizes the top 500 startup employers in the United States based on employer reputation, employee satisfaction, and company growth.

More than 20,000 companies were evaluated using over 7 million data points. Only 500 were selected.

“This recognition reflects the team we’ve built and the culture we’ve been intentional about from day one,” said Malinka Walaliyadde, CEO and co-founder of AKASA. “We are tackling one of the most important transformations in healthcare: bringing AI into the operational core of health systems. That requires exceptional people who are mission-driven, bold, and collaborative. I’m proud of the innovative team we’ve assembled, and energized by the impact we’re making together.”

At AKASA, our mission is to build the future of healthcare with AI. That starts with building an exceptional team. Being named to Forbes’ America’s Best Startup Employers underscores AKASA’s commitment to creating an environment where ambitious people can do career-defining work and transform healthcare.

To learn more about life at AKASA, visit our careers page.

About AKASA

AKASA is the leading provider of generative AI (GenAI) for healthcare revenue cycle management. It uses the latest technology to help leading health systems and academic medical centers get credit for the services they provide, producing better financial and quality outcomes while delivering more precise care. Powered by the AKASA Platform, our technology combines deep revenue cycle knowledge with custom large language models (LLMs) trained on a health system’s own clinical and financial data. Recognized by Black Book Market Research as the #1 healthcare RCM startup, AKASA helps organizations address complex workflows and capture the full value of care to deliver accuracy, compliance, and efficiency at scale.