Prosper AI has raised $5 million to become the voice AI platform for healthcare, targeting the $450 billion spent annually on administration. Prosper’s AI agents already handle hundreds of thousands of calls for a Providence-affiliated hospital network, a Fortune 50 pharma hub, a 30,000-employee medical billing company, and one of the largest practice management software in the U.S. with over 100,000 physicians, helping Prosper quadruple revenue in the last three months. The seed round was led by Emergence Capital, with participation from Y Combinator, CRV, and Company Ventures.
Prosper co-founders Xavier de Gracia and Josep Mingot.
Krasnaok
By automating appointment scheduling, benefits verification, prior authorizations, and claims follow-ups, Prosper AI aims to reduce the armies of staff answering phones and chasing insurers, cutting costs and speeding care. “We’re attacking the $450 billion of administrative work that’s being done manually in medical practices,” co-founder Xavier de Gracia told me. “Our mission is to make healthcare affordable by reducing all this administrative work.”
De Gracia and co-founder Josep Mingot met while studying at Harvard and MIT. After stints at Bain & Company, where de Gracia advised large enterprises on operations, and at a public tech company running operations, he turned to entrepreneurship. “I got exposure to how call centers work and saw thousands of people doing manual work that wasn’t really adding value,” he said. “Together with Josep, who brought experience in AI and insurance, we wanted to automate the repetitive calls so staff could focus on the complex cases.”
The result is a voice AI platform fine-tuned for healthcare workflows like appointment scheduling, benefits verification, prior authorizations, and claims follow-up. Prosper AI fine-tunes multiple large language models from providers like OpenAI and Google while leveraging its own orchestration on top. Calls are transcribed in real time, routed through instruction sets, and delivered back as natural-sounding speech with half-second latency. “It really does sound natural to the human who’s interacting with it,” de Gracia said.
Deployments typically take three to five weeks. Prosper arrives with “battle-tested” agents for each workflow and adapts them to a practice’s standard operating procedures. Early pilot calls are monitored and reviewed by staff before ramping up to full volume. Once running, Prosper handles routine transactions and passes edge cases to human staff. The result, de Gracia said, is both cheaper operations and faster reimbursement. “Our AI Agents are more cost effective than humans, commit fewer errors and enable faster payments from insurance,” he said.
The impact is measurable. At Synergy Healthcare Associates, a large multispecialty group, Prosper automates more than 50 percent of front-desk calls, cutting wait times and freeing staff to deal with complex benefits and authorizations. “Prosper has redefined how our call center runs,” said Nathan Woelfel, Synergy’s COO, in the company’s announcement.
Prosper’s platform is designed specifically for healthcare. For patients, the system automates scheduling, billing questions, and follow-up, hitting a 50–70 percent automation rate for inbound calls. For payor calls, Prosper can skip payer IVR menus, wait on hold with insurers, extract coverage information, and write results back into the EHR. The company reports 99 percent accuracy in navigating menus and sub-two-hour turnaround for complex benefit checks.
The company has scaled to 15 employees and has already proven it can win major enterprise customers. De Gracia credits their ability to move quickly and integrate deeply with client systems. “We’ve been able to prove our value to very large customers early,” he said. “I think it comes from our background working with enterprises and the fact that AI is finally ready to deliver real value.”
With fresh capital, Prosper plans to expand its sales team, deepen EHR integrations, and train agents to take on new tasks such as reading faxes and acting on API data. The long-term goal, de Gracia said, is to become the default AI workforce for healthcare.