Prosper AI
Voice AI agents automating healthcare phone workflows for patient access, RCM, and payer interactions to cut costs and speed care.
Visit WebsiteOverview
Prosper AI builds LLM-native voice AI agents that automate both patient-facing (front office) and payer-facing (back office/RCM) phone workflows for healthcare organizations. This “full-stack” approach is its primary claimed differentiator: while Infinitus and SuperDial focus primarily on outbound payer calls, Prosper covers inbound patient scheduling, appointment reminders, billing Q&A, and prescription refills alongside outbound benefits verification, prior authorization, claims follow-up, and denial appeals (Prosper AI website).
The product deploys via pre-built role-specific agents called “Blueprints” — named AI personas (Anna for scheduling, Alex for benefits verification, Kate for prior auth, etc.) that are pre-trained on real healthcare call data and customizable to each client’s SOPs without code (GlobeNewswire). The platform integrates with 80+ EHR/PM systems (Epic, athenahealth, Cerner, MEDITECH, eClinicalWorks, NextGen, and others), claims sub-500ms voice latency, 99% payer IVR navigation accuracy, and sub-2-hour turnaround SLAs for benefits verification and prior authorization (Elion Health).
Competitive Positioning
Prosper AI is earlier-stage and smaller than Infinitus ($5M vs. $102.9M) and SuperDial ($5M vs. $20M+), but differentiates on three dimensions: (1) Full-stack coverage — patient-facing + payer-facing in one platform, while SuperDial is payer-only and Infinitus only recently added patient-facing; (2) Broadest stated EHR integration footprint — 80+ native connectors vs. Infinitus’s Salesforce/FHIR focus and SuperDial’s ~5 named EHRs; and (3) No-code customization — non-technical healthcare teams can modify workflows without engineering support (Prosper AI website).
Notably, Prosper is the only company in this batch that has explicit pharma hub traction at the seed stage — it already serves a Fortune 50 pharma hub for benefit verification and prior authorization, and co-founder Xavier de Gracia spoke at the 2025 PAP (Patient Assistance & Access Programs) conference as “the first company to build LLM-native Phone AI agents for Patient Access teams” (Informa Connect).
Recent Developments (2024-2026)
- Summer 2023: Founded; accepted into Y Combinator S23 batch
- September 2025: $5M seed led by Emergence Capital (first backers of Salesforce, Veeva, Zoom) with YC, CRV, and Company Ventures; revenue had grown 4x in the prior quarter (Forbes)
- November 2025: Signed 8 new customers in 60 days; went live with a $5B healthcare organization; +30% MoM revenue growth (LinkedIn)
- February 2026: Strategic partnership with Firstsource Solutions (global BPO, NSE: FSL) — deploying Prosper AI across RCM workflows for large health systems; now serves 35+ healthcare enterprises (BusinessWire)
Client Types
Prosper targets health systems, specialty group practices, medical billing companies, HealthTech/EHR vendors (white-label), insurance payers, and pharma hubs. Named or identified clients include a Providence-affiliated hospital (125K employees), a Fortune 50 pharma hub, a 30,000-employee billing company, a 100K+ provider EHR platform, Synergy Healthcare Associates (multispecialty, Texas), and Firstsource Solutions (BusinessWire). The pharma hub presence is a meaningful early signal that Prosper is not purely an RCM play.
Technology Platform
Prosper uses a modular pipeline combining OpenAI and Google LLMs with proprietary orchestration, achieving sub-500ms voice latency. Blueprints are pre-trained on thousands of real patient and payer calls, deployed as starting points and customized to client SOPs. An AI-powered QA layer automatically reviews every call for accuracy and compliance, providing transcripts and confidence scores. The IVR navigation engine achieves 99% accuracy (Prosper AI website). Compliance: HIPAA with BAA, SOC 2 Type II, AES-256 encryption, on-premises deployment option available. The platform is expanding into multi-modal capabilities (voice + fax reading + EHR API actions).
Financial Context
| Metric | Value |
|---|---|
| Total funding | ~$5M |
| Latest round | Seed, $5M (Sept 2025, led by Emergence Capital) |
| Valuation | ~$25M (estimated; SalesTools) |
| Revenue growth | 4x in Q2-Q3 2025; +30% MoM Nov 2025 |
| Employees | ~25-35 |
| Revenue stage | Pre-Series A, rapidly scaling |
| Enterprise clients | 35+ as of Feb 2026 |
| Key investors | Emergence Capital, Y Combinator, CRV, Company Ventures |
Analyst Observations
Defensibility: Early-stage but promising. Prosper’s full-stack approach (patient + payer) is genuinely differentiated in this market. The Emergence Capital backing (first backers of Salesforce and Veeva) provides enterprise GTM credibility, and the YC network offers distribution. However, the technology stack (OpenAI + Google LLMs with custom orchestration) is less proprietary than Infinitus’s patented discrete action space — creating substitution risk if LLM-native voice AI becomes commoditized.
Commoditization risk: Moderate-high. Prosper’s LLM-native architecture is easier to replicate than Infinitus’s proprietary multi-model ensemble. The 80+ EHR integrations claim is a strong differentiator if verified at depth, but breadth of integration connectors does not guarantee depth of bidirectional data flow. The no-code customization and Blueprints are compelling for mid-market adoption but may not provide durable moats against well-funded competitors.
Acquisition target potential: High. Natural acquirers include EHR vendors (athenahealth, eClinicalWorks — embed voice AI natively), RCM BPOs (Firstsource is already a strategic partner and could acquire), Infinitus (acquire full-stack patient-facing capability to complement payer-facing core), or large health systems’ innovation arms. The $25M valuation makes this an accessible acquisition.
What differentiates winners from losers: Prosper’s speed of enterprise traction (35+ clients in ~2 years, Fortune 50 pharma hub, Providence-affiliated hospital) is impressive for its funding level. The risk is runway — $5M is thin for enterprise healthcare sales cycles, and the company will likely need a Series A soon to sustain growth. Xavier de Gracia’s background running 800+ person call centers at Angi provides deep operational understanding of the problem space.
Therapeutic Focus
broad/all
Target Customers
Health systems/hospitals, specialty groups/practices, medical billing firms, EHR/practice management vendors, pharma hubs/patient services, RCM providers, insurance payers
Sources
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