Purpose built AI—for the full journey

Most healthcare AI is built on third-party or public data. RevSpring AI is built on healthcare data we own and enrich — verified provider attributes, patient billing and payment insights, and engagement signals across the full care journey. The result is intelligence that doesn’t stop at a recommendation. Across patient access, engagement, and revenue cycle, it enhances and completes workflows, drives faster outcomes, and delivers better experiences for patients and staff.

Proprietary analytics and predictive intelligence powers AI across the journey—driving better access, stronger engagement, and faster payments

The verified data layer that makes healthcare AI trustworthy

RevSpring’s MCP Suite (Model Context Protocol) powers purpose-built AI grounding architecture. Where language models handle reasoning, the MCP handles data — returning verified provider records, real insurance network status, and live availability in milliseconds. Grounded, not generated.

A verified record for 4M active providers
740+ health systems
2,400+ ambulatory provider organizations
110+ health plan brands

Guide staff to the right patient decisions at every interaction

SeatMate guides staff in real time during payment interactions, turning patient intent into clear next steps. It surfaces the right payment and financial assistance options to drive faster, more consistent experiences and better outcomes.

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Enable self-service payment conversations anytime, anywhere

Let’s Talk is self-service conversational AI that helps patients take action on their own. Available via QR codes or by phone, it answers questions and guides patients to the right next step, reducing call volume and resolving inquiries faster.

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Increase yield and reduce cost to collect with personalized engagement

EngageIQ increases yield and reduces cost to collect by personalizing outreach and payment options for each patient. It optimizes timing, channel, and messaging to drive higher engagement and more efficient collections at scale.

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