Amperos Health Launches Amanda, the World's First AI Biller for Healthcare Denials and Collections

Amanda has recovered $120 million in annual revenue and automated 75,000+ insurance calls for RCM teams, in addition to a $4.2 million seed funding led by Uncork Capital

NEW YORK, June 4, 2025 /PRNewswire/ -- Today, Amperos Health announces the launch of Amanda, the world's first AI biller specifically created for healthcare providers, designed to reduce denials and recover outstanding claims for revenue cycle management (RCM) teams. Additionally, Amperos has secured a $4.2M seed funding round from top venture capital firms Uncork Capital, Neo, and Nebular, alongside strategic angel investors from OpenAI, Twilio, and Stripe, bringing its total funding to $5 million to date. 

Denied and unpaid claims represent a multi-billion-dollar issue for the healthcare industry, creating a significant administrative burden for providers. Each year, insurance denials increase by 10 percent, while providers spend $26 billion pursuing unpaid claims. At the same time, industry-wide staffing shortages impact 63 percent of RCM teams, leaving healthcare billers more overwhelmed than ever. This situation has become existential for many healthcare professionals who are faced with soaring operational costs, forcing them to reduce services or even shut down their practices entirely. 

"Our mission is to make getting paid by insurance so seamless for providers that it becomes an afterthought rather than a critical operational issue," said Amperos Health CEO Michal Miernowski. "That's why we built Amanda—so providers can spend more time growing their clinics and serving patients, not chasing payment."

Amanda works across different systems and tasks, such as insurance websites and calling payors, to determine how providers can reverse denials and get paid on outstanding claims. Trained by real healthcare billers to know precisely how to tackle any possible scenario, Amanda requires no configuration and can fit seamlessly into teams on day one. Most importantly, Amanda can also reason and execute chains of actions to provide her teams with a new level of automation never before possible. To date, Amanda has automated over 75,000 calls and collected $120 million in annual revenue for Amperos customers.

"We weren't even touching 27% of our claims before hiring Amanda, and the team was severely understaffed. Now with Amanda, our team has been able to address understaffing by helping us work through more unpaid claims, faster," said Janna Mullaney, Chief Operating Officer at EyeCare Service Partners. "Amperos has allowed our team to spend more time on the most valuable work, and less time doing the mundane tasks associated with collecting claims."

With its new seed funding, Amperos plans to continue expanding both Amanda's capabilities and introducing new AI coworkers for RCM teams, while expanding to support more customers across inpatient, outpatient, DSO, and DME providers.

"We value founder-market fit above all, and as someone who has spent years working with healthcare providers, Michal was built to help solve this deeply entrenched problem," said Susan Liu, Partner at Uncork Capital. "The problem of denials and collections of healthcare is one that has only gotten worse since COVID and we're excited to back a team and product that is driving not just meaningful ROI and cash in the door for providers, but also helping job satisfaction and give time back to healthcare teams for more essential work."

For more information or to make Amanda your next hire, please visit https://www.amperoshealth.com/.

About Amperos Health
Amperos Health is the first multi-modal AI biller designed specifically for healthcare providers to combat denials and streamline claims collections for revenue cycle management (RCM) teams. Fully HIPAA-compliant and equipped with bank-level security, Amperos empowers teams to resolve 2-5x more denials, recover more revenue, and significantly improve productivity. To learn more, visit www.amperoshealth.com.

SOURCE Amperos Health