SuperDial Raises $15M to Automate Healthcare’s Most Costly Pain Point: Administrative Phone Calls

n a major move to modernize one of the healthcare industry’s most stubborn inefficiencies, SuperDial, a voice AI startup focused on automating administrative phone calls, has raised $15 million in Series A funding. The round, a mix of equity and venture debt, was led by SignalFire and backed by Slow Ventures, Box Group, and Scrub Capital. The funding will enable SuperDial to scale its AI-driven platform that’s already helping healthcare providers reclaim thousands of hours and millions of dollars lost to endless insurer calls.

As part of one of the first investments from SignalFire’s new $1 billion applied AI fund, this raise positions SuperDial as a leader in the fast-emerging category of agentic AI—autonomous agents capable of carrying out complex tasks traditionally handled by humans.

Tackling Healthcare’s Most Expensive Bottleneck

Despite widespread digital transformation, the U.S. healthcare system still relies heavily on manual phone calls for essential tasks like insurance verification, claims follow-up, credentialing, and prior authorization. These calls, often routed through labyrinthine phone trees and prolonged hold times, cost provider organizations billions each year—both in time and unpaid claims.

SuperDial’s AI agents replace this outdated process with end-to-end automation. The agents can navigate complex IVR systems, engage in live conversations with insurance representatives, and extract structured data—all without human intervention. When a situation exceeds the AI’s capabilities, SuperDial’s human fallback team ensures continuity, training the system further in the process.

From Stanford Side Project to Sector Disruptor

SuperDial was founded by Sam Schwager and Harrison Caruthers, both Stanford graduates with deep backgrounds in AI and healthcare operations. The company emerged from their firsthand experience running a healthcare billing company, where they spent thousands of hours on repetitive payer calls.

What began as a tool to ease their own operational burdens has evolved into a full-scale platform with EHR and PMS integration, HIPAA and SOC 2 Type 2 compliance, and robust APIs for bulk call placement. Clients can deploy SuperDial via API, CSV uploads, or direct portal input, and receive results in real time—written back into their systems or exported via webhook.

Since its commercial launch in late 2023, SuperDial has grown rapidly, now handling tens of thousands of calls per week and generating seven-figure revenue. A key milestone came earlier this year with its acquisition of MajorBoost, a voice AI company specializing in complex phone tree navigation. The acquisition strengthened SuperDial’s technical depth and solidified its leadership in healthcare-specific call automation.

Real-World Results: From Backlogs to Breakthroughs

SuperDial’s platform is already delivering transformative impact. At West Coast Dental, SuperDial now handles over 10,000 calls per month to check claim statuses—a process that previously resulted in 70,000 claims in backlog and would have required five additional staff hires. With SuperDial, the team dramatically reduced accounts receivable (AR) days and gained real-time visibility into claims.

Healthcare organizations using SuperDial report 3x cost savings per call and 4x productivity gains across revenue cycle management (RCM) operations. This kind of efficiency doesn’t just improve the bottom line—it reduces burnout and frees up human teams to focus on more strategic, patient-centered work.

The Tech Behind the Talk: What Makes SuperDial Work

SuperDial’s platform leverages natural language processing (NLP) and reinforcement learning to train its AI agents on real-world insurance conversations. Unlike traditional chatbots or pre-scripted systems, these agents are built to be adaptive—able to respond in real time, adjust to dynamic call flows, and learn from both successful and failed outcomes.

This is a textbook example of agentic AI, where software agents are not just tools but autonomous performers of multi-step tasks with minimal human oversight. SuperDial’s agents are capable of intent recognition, contextual reasoning, and decision-making—all of which are critical when navigating high-stakes, variable healthcare workflows.

And because healthcare lacks standardized APIs across payers and providers, SuperDial’s voice agents are becoming the interface layer between fragmented systems—essentially acting as human-like bridges in an industry starved for interoperability.

SignalFire’s Bet on Applied AI

“We believe agentic AI infrastructure is inevitable,” said Yuanling Yuan, Partner at SignalFire. “SuperDial isn’t just automating phone calls—they’re redefining how healthcare communicates. Their rapid traction, visionary team, and deeply technical product make them a standout investment in our new applied AI fund.”

SignalFire’s investment underscores a larger trend: as AI models grow more capable, the race is on to apply them in sectors where inefficiencies are ripe for disruption. And in healthcare—where administrative costs are ballooning and staffing shortages are persistent—AI is no longer a futuristic concept. It’s an immediate necessity.

The Future of Healthcare Communication Is AI-to-AI

The healthcare industry is standing at the edge of a fundamental transformation—not just in how care is delivered, but in how the entire ecosystem communicates. For decades, insurers, providers, and pharmacies have relied on fragmented workflows, outdated portals, and phone calls routed through human intermediaries. But that patchwork is being rewired.

A new infrastructure is emerging—one not built on standardized APIs or shared databases, but on AI agents capable of interpreting context, initiating conversations, and making decisions. These agents aren’t just tools to speed up existing tasks; they represent a shift in how coordination happens altogether. Rather than staff spending hours on hold or manually updating records, AI agents can interact directly with systems, extract the right data, and document outcomes in real time.

In this future, administrative communication becomes agent-to-agent—automated dialogues between payers, providers, labs, and other entities that replace much of the manual friction that has long defined healthcare operations. It’s a model built on machine learning, natural language understanding, and continual adaptation—one where human staff are freed to focus on complex exceptions and patient care, not paperwork.

The rise of agentic infrastructure marks a pivotal moment: instead of building brittle, one-off integrations across siloed platforms, organizations can deploy intelligent intermediaries that learn, evolve, and scale across workflows. Voice AI is just the beginning. As capabilities grow, this layer of digital coordination will expand into credentialing, enrollment, compliance, and beyond.

SuperDial represents a broader shift—where intelligent agents, not human staff, become the primary interface for administrative coordination across the healthcare system.