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Alaffia Health raises $55M Series B for AI claims review platform

The New York startup's hybrid model combines AI for clinical fact extraction with clinician oversight, targeting payment integrity and utilization management for health plans. Customers report 20% savings on high-cost facility claims, though the long-term model for healthcare admin AI remains unproven.

Alaffia Health closed a $55 million Series B on February 3, led by Transformation Capital, with participation from FirstMark Capital, Tau Ventures, and Twine Ventures. Total funding now exceeds $73 million for the New York-based startup founded in 2020.

The company's agentic AI platform targets health plan claims operations: payment integrity, utilization management, and appeals. The pitch is straightforward: healthcare admin waste runs to $570 billion annually, much of it from manual review processes that create overpayments and delays.

Alaffia's approach is hybrid rather than pure automation. AI handles clinical fact extraction from claims data, then clinicians review the output for final decisions. CEO Oluseyi Ademiluyi positions this as necessary for transparency, compliance, and explainability in an industry where black-box AI won't fly with regulators or customers.

The numbers: customers have saved over $100 million in medical costs, with 20% average savings on high-cost facility claims and review cycles reduced from weeks to days. Regional and national health plans use the platform, competing against legacy manual review vendors and pure AI tools that lack clinical oversight.

Investor Todd Cozzens from Transformation Capital notes payment integrity remains underpenetrated despite the obvious ROI, citing payer complexity as a barrier. Ademiluyi acknowledges the unproven nature of long-term adoption models for healthcare admin AI, even with current traction.

The timing is notable. Health plans face mounting pressure to control costs while managing claims volume growth. AI-driven claims automation is moving from pilot to production, with use cases spanning denial prediction, coding assistance, and risk assessment. The market question is whether hybrid models like Alaffia's find a sustainable middle ground or get squeezed between full automation and traditional manual review.

The broader pattern: healthcare AI funding continues despite economic headwinds, but the money flows to companies with measurable outcomes and regulatory-friendly architectures. Alaffia fits that profile. Whether $73 million proves sufficient to capture meaningful market share in an industry dominated by entrenched vendors remains to be seen.