Hyro
Conversational AI agent platform built for healthcare since inception rather than adapted to it, spanning call centers, websites, SMS, and mobile apps. The architecture is deliberately hybrid: large language models combined with a proprietary conversational engine, small language models tuned for healthcare, and knowledge graphs purpose built for the domain, which the company positions as more controllable than a general model alone. Agents integrate through API into EHRs and CRMs to complete tasks autonomously, including registration, routing, scheduling, and prescription refills, with contextual transfer to a live human when needed, and all interactions captured in a Patient Intelligence Dashboard. The company reports resolving up to 85 percent of routine patient interactions, deployment across more than 45 to 50 US health systems, and over 30 million patients engaging with its agents. Named clients include Intermountain Health, Baptist Health, Hackensack Meridian Health, and Bon Secours Mercy Health, which also invested. Founded 2018 by Israel Krush and Rom Cohen as a Cornell Tech spinout with offices in New York and Tel Aviv; $95 million raised in total including a $45 million round in October 2025 led by Healthier Capital with ServiceNow Ventures participating. Named to Fierce Healthcare's Fierce 15 for 2026.
Capability Axes
Conversational agents are the entire product, and the company has built for healthcare exclusively since 2018 rather than adapting a general platform, which shows in the architecture.
Agents act autonomously on scheduling, registration, routing, and prescription refills, with the stated design principle that contextual transfer to a live human enhances rather than replaces staff, and full interaction capture in a dashboard for review. Held back from A because the transfer trigger criteria are not published: knowing that escalation exists matters less than knowing when it fires, particularly for prescription related requests.
The clearest architectural disclosure among the voice agent vendors in this index. The company describes a specific hybrid: large language models combined with a proprietary conversational engine, small language models tuned for healthcare, and purpose built knowledge graphs. That composition is a substantive engineering claim rather than a capability boast, and it explains the control argument, since a knowledge graph constrains what an agent can assert in a way an unconstrained model does not. Buyers can interrogate a stated architecture; they cannot interrogate a black box.
Adoption is substantial and independently corroborated: more than 45 to 50 US health systems, over 30 million patients engaged, and named clients including Intermountain, Baptist Health, and Hackensack Meridian. Bon Secours Mercy Health invested as a long standing client, which is a stronger signal than a logo since an existing customer put capital behind the relationship. Selection to Fierce Healthcare's 2026 Fierce 15 is third party recognition. Held back from A because the operative metric, up to 85 percent resolution of routine interactions, is vendor stated without a definition of routine or a published measurement method, and containment definitions vary widely across this category.
Integration is the stated differentiator and the claim is specific: direct API connections into leading EHRs including Epic and into CRMs, allowing agents to complete tasks such as booking an appointment or refilling a prescription rather than only answering questions. The company also cites multi modal data ingestion across websites, call centers, SMS, and apps. Completing the transaction rather than routing it is what separates this tier from IVR replacement.
No public pricing. Contact the vendor. Third party review positions the platform in the premium tier, chosen by large health systems that can absorb the investment, and notes that smaller practices are typically served by more accessible general purpose alternatives. That positioning is useful context even without a rate card.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | BAA Tier | Implementation | Source |
|---|---|---|---|---|
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Contact the vendor
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Enterprise agreements with health systems | — | — | Third Party Estimated |
No rate card published. Enterprise agreements with health systems. Third party review characterizes the platform as premium tier, selected by large sophisticated health systems that want the deepest healthcare specific capability and can fund it, with independent practices and small groups typically better served by general purpose AI receptionist products configured for healthcare. That is a useful buyer signal: the comparison set differs sharply by organization size, and a small practice comparing this against Assort or a general voice platform is not comparing like for like on cost.