SuperDial raised $15 million
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We Just Raised $15M to Automate Healthcare’s Endless Phone Calls
For Everyone

We Just Raised $15M to Automate Healthcare’s Endless Phone Calls

When we started SuperDial, the problem felt almost too absurd to be real: billions of dollars and countless hours were being wasted each year on phone calls to health insurers. These weren’t one-off exceptions—they were daily, repetitive, and entirely predictable. Every provider, every billing team, every RCM company was stuck navigating phone trees, waiting on hold, and talking to payer reps just to get basic information.

It’s a broken system. But it’s also a massive opportunity for change.

Today, we’re thrilled to share that we’ve raised $15 million in Series A funding to accelerate that change. The round was led by SignalFire, with participation from Slow Ventures, BoxGroup, and Scrub Capital, and includes $3 million in venture debt to fuel our growth. This brings our total funding to over $20 million.

This is also one of the first investments from SignalFire’s new $1B fund focused on applied AI—and we’re proud to be building exactly that: a real-world application of AI that delivers measurable impact for healthcare organizations.

Why this problem matters

U.S. healthcare spends over $150 billion annually on revenue cycle operations. A shocking portion of that is still tied up in manual phone calls—calls to check benefits, follow up on claims, or get a prior authorization. These calls often take an hour or more and steal capacity from teams already stretched thin.

We know this pain firsthand. Before SuperDial, we built a healthcare billing company that spent thousands of hours on payer calls. We looked for tools to automate them—nothing existed. So we built one ourselves.

And now, Becker's and Axios are talking about it! Here's why.

The SuperDial approach

SuperDial creates AI agents that make outbound calls on behalf of revenue teams. These agents:

  • Navigate phone trees

  • Wait on hold

  • Talk to live payer reps

  • Collect and return data from the call

  • Document everything back into the EHR, automatically

If a call can’t be handled fully by AI, our human ops team steps in—ensuring reliability while constantly improving the model. It’s a tight human-in-the-loop system that drives real outcomes. 

Our customers—primarily RCM companies, DSOs, MSOs, and large provider groups—use SuperDial to increase productivity by up to 4x, cut call costs by 3x, and reduce AR days across the board.

For example, at West Coast Dental, SuperDial now handles over 10,000 claim status calls a month—calls that once sat in a backlog of 70,000 and would have required five new hires to process.

What’s next

We’re scaling fast. Since launching at the end of 2023, we’ve grown to seven figures in revenue and tens of thousands of calls per week. We acquired MajorBoost earlier this year, whose expertise in navigating complex payer systems has strengthened our platform and team.

The future is already here: we’re hard at work on building deeper integrations to unlock additional admin workflows and improve outcomes with smarter AI agents. Healthcare never built the APIs needed for clean, digital communication between systems. So we’re building the next best thing—a network of AI agents that can talk to each other on behalf of the organizations they serve.

Our long-term vision is a 21st-century healthcare system that is seamless, reliable, and built on modern data infrastructure and automation rather than technology from the 1800s. By eliminating administrative friction, we empower healthcare heroes to focus on their core mission: helping patients.

Thank you

We’re incredibly grateful to our customers, team, and investors who have believed in this mission from day one.

If you’re building in this space, working on revenue ops in healthcare, or just curious to see where AI is headed—let’s talk.
👉 www.superdial.com

And yes—we’re hiring.

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About the Author

Sam Schwager - SuperBill
Sam Schwager

Sam Schwager co-founded SuperBill in 2021 and serves as CEO. Having personally experienced the frustrations of health insurance claims, his mission is to demystify health insurance and medical bills for other confused patients. Sam has a Computer Science degree from Stanford and formerly worked as a consultant at McKinsey & Co in San Francisco.