Automation

Prosper AI Raises $30M to Automate Healthcare Scheduling and Billing

The healthcare automation platform now manages over $1.3 billion in patient care across 150,000 providers after 5x revenue growth in six months.

Omega Editorial· June 24, 2026· 3 min read

Prosper AI Secures Major Funding Round

Prosper AI has closed a $30 million Series A financing round led by Andreessen Horowitz, with participation from Base10 Partners and continued investment from Emergence Capital and Y Combinator. The healthcare automation company disclosed the funding alongside striking growth metrics: 5x organic revenue expansion over six months and a platform now orchestrating more than $1.3 billion in patient care across 150,000 providers.

The financing arrives as the company captures 80% of competitive evaluations against both standalone voice automation vendors and point-solution scheduling applications, according to details first reported by HIT Consultant.

Beyond Basic Appointment Booking

Prosper AI distinguishes itself from first-generation voice bots by delivering what the company calls "financially cleared appointments"—a unified workflow that handles scheduling, real-time insurance verification, and billing coordination in a single system rather than requiring providers to stitch together multiple tools.

The platform integrates directly with major ambulatory EHR systems including athenahealth, ModMed, Veradigm, and eClinicalWorks, as well as billing engines like ImagineSoftware. When patients call an outpatient facility, Prosper AI's autonomous system answers, interprets intent across more than 25 medical specialties, and books appointments directly into practice schedules.

What happens next separates the technology from conventional scheduling automation. Once a calendar slot is secured, the platform automatically cross-references the patient's insurance profile against live clearinghouse rules to identify coverage layers, co-pays, and deductible requirements. When the system detects benefits anomalies or missing authorization data, specialized AI agents place outbound calls to insurance payors to extract coverage information directly from representatives.

Why It Matters

Healthcare providers lose billions annually to scheduling no-shows and denied claims stemming from insurance verification failures. By calculating exact patient financial responsibilities before care delivery, Prosper AI addresses a core revenue cycle vulnerability while giving patients cost transparency upfront. The company reports the approach can lower healthcare administrative operating costs by up to 40%—a meaningful reduction in an industry where administrative expenses consume an estimated 25% of total healthcare spending.

Enterprise Adoption Accelerates

The platform's enterprise customer base now includes Jackson Memorial Hospital in Florida, PE-backed practice groups like Piedmont Dermatology, and healthcare technology companies athenahealth and ImagineSoftware, which have embedded Prosper AI's capabilities within their own infrastructures.

In side-by-side deployments, provider networks including The 44 Group—representing over 600 physicians—found that Prosper AI automated more than 50% of complex patient conversations end-to-end immediately upon implementation, compared to a 20% baseline for legacy single-point schedulers.

"Healthcare providers don't want separate tools for scheduling, insurance verification, and billing," said Xavier de Gracia, Co-Founder and Co-CEO of Prosper AI. "They want a single platform capable of managing the workflows that determine whether care happens and whether providers ultimately get paid."

Jay Rughani, Partner at Andreessen Horowitz, noted that organizations initially deploying Prosper AI for scheduling rapidly expand usage to insurance verification, billing coordination, and automated payment tracking as the technology builds operational trust.

Details of the funding and growth metrics were first reported by HIT Consultant.

#healthcare automation#prosper ai#andreessen horowitz#revenue cycle management#insurance verification#ai agents

This is an original analysis by the Omega editorial team. Source reporting: Automation Watch.

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