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Home Market Research Startups

Amperos Health Raises $4.2M Seed to Tackle $26B Medical Claims Collection Crisis with AI – AlleyWatch

by TheAdviserMagazine
6 months ago
in Startups
Reading Time: 6 mins read
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Amperos Health Raises .2M Seed to Tackle B Medical Claims Collection Crisis with AI – AlleyWatch
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The U.S. healthcare system faces a mounting financial crisis, with providers spending $26 billion annually pursuing unpaid claims while insurance denial rates surge by 10% each year. This administrative burden has created an existential threat for healthcare practices, with 63% of revenue cycle management teams experiencing critical staffing shortages that force providers to reduce services or shut down entirely. Amperos Health is addressing this crisis with Amanda, the world’s first AI biller specifically designed to automate healthcare claims collections and denials recovery. Amanda leverages multi-modal reasoning capabilities to navigate insurance phone systems, handle complex conversations with agents, and execute chains of actions that mirror experienced human billers – all while achieving over 90% accuracy rates. To date, Amanda has automated over 75,000 calls and recovered $120M in annual revenue for healthcare providers, enabling collections teams to increase productivity by 3-5 times while reducing costs by 80%.

AlleyWatch sat down with Amperos Health CEO and Founder Michal Miernowski to learn more about the business, its future plans, recent funding round, and much, much more…

Who were your investors and how much did you raise?

We secured a $4.2M seed funding round led by Susan Liu at Uncork Capital and from top venture capital firms Neo and Nebular, alongside strategic angel investors from OpenAI, Twilio, and Stripe.

Tell us about the product or service that Amperos Health offers.

Our first product is Amanda, the world’s first AI biller specifically created for healthcare providers. Amanda is designed to reduce denials and recover outstanding claims for revenue cycle management (RCM) teams. 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. To date, Amanda has automated over 75,000 calls and collected $120M in annual revenue for our customers. 

What inspired the start of Amperos Health?

I spent years working with admin leaders at healthcare clinics and I realized that instead of discussing how we can serve more patients and provide more treatments, we were spending hours just trying to figure out how we can get enough cash in the door to pay staff and keep operating. For example, I worked with a CFO who had 100 doctors but 300 people working in collections, to ensure those doctors got paid for their work. The imbalance struck me, and I thought this inefficiency needed to be fixed. Claims take so long to pay that a lot of clinics are forced to shut down or pull back services. That’s why I started Amperos and built Amanda.

 How is Amperos Health different?

We are the first company in this space automating a chain of actions for billers that actually makes sense. While other healthcare AI agent companies require their customers to set up scripts, or go through long implementation cycles, Amanda comes “fully trained” right out of the box–no configuration required. Trained by real healthcare billers to know precisely how to tackle any possible scenario, Amanda fits 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.

What market does Amperos Health target and how big is it?

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 $26B 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.

What’s your business model?

We partner with healthcare providers and integrate directly with their billing systems to provide a highly customized, white glove solution for our customers. Our subscription pricing model is volume-based, so we only earn revenue if our customers successfully adopt our AI.

How are you preparing for a potential economic slowdown?

Our product is very high ROI, with customers earning $5-10 for every dollar they spend on Amperos. Given that, if there was an economic slowdown, we’d expect healthcare providers to see solutions to improve the financial viability of their own businesses, which we’d expect to drive more interest in our AI, Amanda. Given that and the need in the market, we think that our team will succeed regardless of the economic environment–and that’s on top of having substantial funding from great investors, and a top-tier team with years of experience in LLMs and AI agents.

What was the funding process like?

We participated in Neo’s accelerator program in 2024, with other companies backed by Neo including Scale AI, Cursor, Ramp, Vanta, and more. We participated in the accelerator’s demo day, and given the strong growth from our initial beta launch in July, we were able to finish our funding process within 2 weeks of starting it.

What are the biggest challenges that you faced while raising capital?

I’d say the biggest challenge was just the fact that our team was first-time founders. While the 3 cofounders had experience across healthcare, enterprise product, and AI agents, it was the first time any of us would have to build, scale, and sell a product, while hiring a team. We’ve been fortunate to be backed by amazing investors, including Unlock, Neo and Nebular; who understood our vision from the beginning. 

What factors about your business led your investors to write the check?

Our investors recognized the scope of the problem and how costly this is for providers–and that we’re the team to solve it. I’ve spent years working with providers on their operations, in investment and advisory roles across healthcare and financial service. CPO Alvin Wu has led product and engineering teams at top-tier companies including Samsara, Fitbit, and Backbone. CTO Wilson Wang, building LLM and voice agents since the earliest days of ChatGPT, previously worked at Amazon. Our co-founding team combines deep expertise in AI, healthcare, and enterprise systems.

Our investors recognized the scope of the problem and how costly this is for providers–and that we’re the team to solve it. I’ve spent years working with providers on their operations, in investment and advisory roles across healthcare and financial service. CPO Alvin Wu has led product and engineering teams at top-tier companies including Samsara, Fitbit, and Backbone. CTO Wilson Wang, building LLM and voice agents since the earliest days of ChatGPT, previously worked at Amazon. Our co-founding team combines deep expertise in AI, healthcare, and enterprise systems.

What are the milestones you plan to achieve in the next six months?

We plan to use our new funding to continue developing the product suite and start scaling a sales team.

What advice can you offer companies in New York that do not have a fresh injection of capital in the bank?

Focus on identifying burning problems customers have, and build solutions that solve those problems. If that works, you will get traction and investors will become interested. 

Where do you see the company going now over the near term?

 With our new funding, we’ll be doubling down on growth by hiring in GTM, while also working to develop and launch new AI coworkers for RCM teams.

What’s your favorite spring destination in and around the city?

Prospect Park! Its winding paths and beautiful greenery make every picnic, walk or run feel like a new experience.

 

The Weekly Notable Startup Funding Report: 12/8/25 – AlleyWatch

 

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