In a Northeast gastroenterology practice with more than 100 providers, a new kind of staff member started handling the phones. It didn't need a lunch break, could verify a patient's insurance benefits in under two hours, and within weeks was managing over half of all scheduling and waitlist calls [getprosper.ai, 2026]. The agent was software, built by Prosper AI, a New York startup aiming to automate the crushing administrative load carried by U.S. healthcare's front desks and back offices.
Prosper AI's bet is that the most immediate, tangible waste,the hundreds of billions spent on manual phone work,is also the most automatable. Their wedge is a voice AI platform that connects directly to a clinic's existing phone lines, electronic health record (EHR), and payer clearinghouses to handle tasks end-to-end [MobiHealthNews, May 2025].
The Wedge: Phones, Faxes, and 99% Accuracy
Prosper AI targets specific, high-volume, rule-based workflows that dominate administrative labor. The core use cases are patient access, scheduling, eligibility checks, waitlist management, and revenue cycle functions like prior authorization status updates, claims follow-ups, and balance reminders [MobiHealthNews, May 2025].
Prosper's agents are designed to connect phones, faxes, and clearinghouses in a single automated flow [MobiHealthNews, May 2025]. The company claims its system can verify benefits or check on prior authorizations with 99% accuracy, and it integrates with over 80 EHR and practice management systems [getprosper.ai, 2026]. This allows a clinic to go-live with configured agents in about three weeks [Y Combinator].
Traction in a Regulated Landscape
The company is young, founded in 2024, but has assembled a seed round and a client roster that speaks to early enterprise credibility. The $5 million seed was led by Emergence Capital, with participation from Y Combinator, CRV, and Company Ventures [MobiHealthNews, May 2025]. Prosper says it now handles hundreds of thousands of calls across hospital, pharmaceutical, billing company, and EHR vendor environments [getprosper.ai, 2026].
| Client Type | Example Use Case |
|---|---|
| Hospital System | Patient scheduling, waitlist management |
| Fortune 50 Pharma | Prior authorization status checks |
| Medical Billing Company | Claims follow-ups, balance reminders |
| EHR Vendor | Integrated workflow automation for provider clients |
The Team and the Backing
The co-founders, Josep Mingot and Xavier de Gracia, met in Boston while Mingot was at MIT and de Gracia was pursuing an MBA at Harvard [hitconsultant.net, 2025]. Their professional backgrounds,Mingot in product management at Aon and de Gracia as a VP/GM at Angi,point to operational and scaling experience [Crunchbase]. The lead investor, Emergence Capital, is a known entity in enterprise SaaS with a keen eye for platform plays.
The Competitive and Regulatory Field
Prosper AI does not operate in a green field. Competitors range from focused startups like Assort Health and Infinitus to broader conversational AI platforms like Hyro and PolyAI. The differentiation claim rests on healthcare-specific, workflow-native integration rather than general-purpose voice AI. A significant strategic choice is offering optional on-premises deployment, a nod to the stringent data security requirements of large health systems [getprosper.ai, 2026].
Prosper's answer appears to be a narrow focus on automating known, repetitive processes rather than attempting open-ended dialogue. The value proposition is purely economic and operational, which can simplify the buyer's decision.
The Road Ahead and the Standard of Care
The problem Prosper AI is tackling is the disease of administrative bloat, and the patient population is every U.S. healthcare provider drowning in phone calls, faxes, and payer paperwork. The standard of care today is largely manual. Staff members, already in short supply, spend hours on hold with insurance companies, manually keying data between systems, and playing phone tag with patients. This contributes to burnout, delays in care, and the estimated $450 billion in annual administrative costs that weigh down the system [finance.yahoo.com, 2025]. Prosper's bet is that this work is fundamentally procedural, and that a carefully bounded AI agent, built for healthcare's byzantine rules, can start to clear the backlog.