If healthcare had a front door, it would be a phone line. But more often than not, that door is jammed.
Between long wait times, staffing shortages, and overwhelmed systems, patients trying to schedule appointments or ask urgent questions are frequently met with silence, voicemail loops, or endless holds. Hospitals across the U.S. operate call centers under immense strain—many running at roughly 60% staffing capacity, according to internal estimates.
Now, a new AI startup is stepping in to rewire that infrastructure.
Attuned Intelligence, a healthcare voice AI company based in Orlando, has emerged from stealth with $13 million in seed funding, led by Radical Ventures and Threshold Ventures. The capital is aimed at scaling a supervised voice AI platform built specifically for hospital call centers. In short, a system that can answer every call immediately—and safely automate up to 70% of them.
“We founded Attuned to rise to one of healthcare’s hardest access challenges: to answer and resolve all patient phone calls,” said Domenic Donato, co-founder and CEO of Attuned Intelligence.
An AI Voice Agent for the Most Critical Calls
The company’s core product is a supervised voice AI platform designed to serve the complex and high-risk environment of hospital main lines. The system takes in every call—urgent or routine—and triages using layered AI agents. Some AI agents handle language understanding and context, while others monitor for safety, escalation triggers, and compliance. Human oversight remains in the loop, especially for edge cases or sensitive issues.
Unlike many generic call automation tools, Attuned Intelligence’s platform is designed for rapid deployment. Hospitals can begin routing calls to the system in days via basic call forwarding. Full integration with existing electronic health records (EHR) systems follows soon after.
The platform is already deployed across multiple hospitals and safety-net providers. One implementation, at Lowell Community Health Center (Lowell CHC) in Massachusetts, went live in just 10 days and now handles over 6,000 calls per week across multiple languages.
“Our work with Attuned has been an important step in supporting our team,” said Padma Sastry, Chief Information Officer at Lowell CHC. “It’s helping us meet our goals around access, language equity, and patient experience.”
Not Just Another AI Startup
The timing of Attuned Intelligence’s launch reflects the convergence of two critical forces: worsening hospital labor shortages and growing comfort with AI as operational infrastructure.
But what differentiates the startup—according to its investors—is its depth of domain understanding.
“What Attuned has architected is fundamentally different,” said Aaron Rosenberg, Partner at Radical Ventures. “They have over half a dozen specialized AI agents working in concert on every call—plus real-time observability for operators. This is built for the stakes of hospital systems, not call center convenience.”
Lisa Xu, Partner at Threshold Ventures, added: “This is the kind of AI product that operations leaders have actually been waiting for—one that starts with safety and patient experience, not automation for automation’s sake.”
The company’s leadership, including Donato and a multidisciplinary founding team, has deep roots in AI systems design and healthcare operations. The result is a system that doesn’t just answer phones—it tracks how decisions are made, flags risks, and learns continuously across diverse clinical and administrative scenarios.
Editorial Perspective: Why This Matters Now
At a glance, voice AI for hospital call centers might not sound like frontier tech. But for healthcare systems, it’s potentially transformative.
Call centers are among the most operationally expensive and least tech-enabled parts of hospital infrastructure. They’re also essential. Delays in handling calls don’t just create frustration—they lead to missed appointments, delayed care, and ultimately worse health outcomes, especially for underserved populations.
Attuned Intelligence’s focus on supervised AI, where safety and transparency are core to design, is a sharp contrast to the current wave of large language model-based tools being shoehorned into every industry. In healthcare, stakes are too high for experimentation without oversight.
By targeting the hospital main line—a complex, multilingual, unpredictable environment—and delivering measurable impact in days, Attuned Intelligence is positioning itself not just as a tool, but as infrastructure.
And if it succeeds, it might quietly change the first step of healthcare access for millions.
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