Pearl Health Raises $110M to Scale AI Platform for Value-Based Medicare Care

Pearl Health has raised $110 million to expand its AI platform for Medicare providers, marking another major vote of confidence in technology built for the shift from fee-for-service medicine to value-based care. The financing includes a $50 million equity round led by Andreessen Horowitz, with participation from Viking Global Investors, AlleyCorp and Ulysses Capital, alongside a $60 million credit facility led by Trinity Capital. The company says the new capital will support platform expansion, enterprise health system and payer partnerships, Medicare Advantage growth and new risk offerings.

The timing is notable. Medicare spending reached $1.118 trillion in 2024, accounting for 21% of total U.S. national health expenditures, while CMS has continued pushing more Traditional Medicare beneficiaries into accountable care relationships tied to quality and total cost of care. Pearl Health is building for that environment: one where providers are increasingly expected to manage patient populations proactively, reduce avoidable utilization and perform under contracts that reward outcomes rather than volume.

Turning Medicare Data Into Earlier Intervention

Founded in 2020, Pearl Health works with providers and health systems participating in value-based care arrangements, giving them tools to identify risk, prioritize patients and coordinate action across care teams. The company describes its platform as a system that combines AI-powered predictive insights, financial risk modeling and workflow automation to help clinicians intervene before patient issues become costly emergencies.

That distinction matters because the core challenge in value-based care is not simply having more data. Providers already have claims data, EHR data, hospital admission-discharge-transfer feeds, quality measures and utilization reports. The harder problem is turning those signals into timely, specific and operationally realistic actions. Pearl’s technology is designed to surface high-urgency patients, recommend next steps and automate routine workflows such as scheduling follow-ups, closing care gaps or supporting post-discharge outreach.

The company is also expanding what it calls Performance Intelligence, described as AI-driven, chat-enabled expertise for population health leaders and care teams. The goal is to give organizations real-time visibility into total cost of care, quality and utilization patterns, while surfacing the actions most likely to move clinical and financial outcomes. Pearl is also developing Care Orchestration AI agents to automate administrative workflows such as annual wellness visit scheduling, post-discharge follow-ups and care management outreach.

Why Value-Based Care Needs Better Infrastructure

Value-based care changes the economics of healthcare by rewarding providers for quality, equity, cost-effectiveness and long-term outcomes rather than simply paying for each visit or procedure. In practice, that means providers need to know which patients are most likely to deteriorate, which interventions are clinically appropriate, which quality measures are at risk and how each action affects performance under Medicare contracts.

CMS has been steadily expanding accountable care participation. As of January 2025, 53.4% of Traditional Medicare beneficiaries were in an accountable care relationship with a provider, representing more than 14.8 million people. The Medicare Shared Savings Program had 476 ACOs serving more than 11.2 million Traditional Medicare beneficiaries for performance year 2025, while ACO REACH included 103 ACOs serving an estimated 2.5 million people.

This creates a growing need for platforms that can bridge finance, analytics and clinical operations. In a risk-based Medicare model, a missed follow-up after hospitalization, a delayed chronic disease intervention or an overlooked care gap can affect both patient outcomes and provider economics. Pearl’s thesis is that AI can help make these models more workable by narrowing the distance between insight and action.

Pearl’s Growth Signals a Maturing Market

Pearl says it now supports more than 10,000 providers across more than 40 states, caring for over 250,000 Medicare beneficiaries. The company manages approximately $3.6 billion in annualized medical spend, up from $2.4 billion the previous year and $1.6 billion the year before that. Pearl also says it reached profitability in 2025 and is projected to generate $500 million in gross healthcare system savings while tripling its patient base from 2024 through the end of 2026.

Those figures help explain why the fundraise stands out in a digital health market where capital is increasingly concentrated among companies that can demonstrate scale, revenue quality and operational relevance. Rock Health reported that digital health startups raised $4.0 billion across 110 deals in Q1 2026, with 59% of capital going to just 12 mega-deals of $100 million or more.

Pearl is operating in a category where AI is becoming less of a standalone feature and more of an execution layer. The company is not positioning AI as a replacement for clinicians, but as a way to reduce administrative burden, identify risk earlier and help care teams focus on interventions that are most likely to matter.

Medicare Advantage Adds Another Growth Vector

The company’s planned expansion into Medicare Advantage gives the raise another strategic dimension. Medicare Advantage continues to grow as a share of the Medicare market, with KFF reporting that 55% of eligible Medicare beneficiaries were enrolled in Medicare Advantage plans in 2026, up from 19% in 2007. Enrollment grew by about 1.1 million beneficiaries between 2025 and 2026, and the Congressional Budget Office projects Medicare Advantage will reach 63% of all Medicare beneficiaries by 2034.

For Pearl, this creates a larger addressable market beyond Traditional Medicare accountable care models. Medicare Advantage plans and provider groups face similar challenges around risk adjustment, care coordination, utilization management and quality performance. The operational complexity is different, but the need for predictive, workflow-integrated infrastructure is closely aligned.

The Broader Implication for AI in Healthcare

Pearl Health’s $110 million raise reflects a broader shift in healthcare AI: the most valuable systems are likely to be those embedded directly into reimbursement, care delivery and operational workflows. Healthcare organizations do not simply need another dashboard. They need systems that can help determine which patients need attention, what action to take, who should take it and how that action affects both outcomes and economics.

The challenge will be execution. Predictive models must be accurate enough to earn trust, but also transparent enough for care teams to understand. Automation must reduce burden without introducing new risks. AI agents must fit into regulated, fragmented healthcare environments where clinical safety, privacy and accountability matter as much as efficiency.

Pearl’s fundraise suggests investors see value in that harder, infrastructure-level problem. As Medicare costs rise and value-based care expands, the companies that can turn healthcare data into timely action may become increasingly central to how providers manage risk, improve outcomes and operate sustainably.