Agentic Index

Agentic Index

Hyro vs PolyAI (2026)

Both answer patient calls with AI, and the difference is how far each reaches beyond healthcare. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Hyro is built for healthcare. Its agents answer from a knowledge graph of the organization's own webpages, APIs and Epic data, schedule through Epic, refill prescriptions through Epic's Willow module and search for physicians. Staff can trace every answer back to its sources. PolyAI serves contact centers in many industries, healthcare among them, and connects to Epic as one integration of many. Its agents run on its own Raven models or a model the customer picks, remember each caller between conversations, and are tested with simulated callers in CI. Your team can build them in Agent Studio or in code, or PolyAI's own team can run the deployment as a managed service. Choose Hyro for Epic workflows that come ready, and PolyAI for a voice platform your team can tune and extend.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Hyro and PolyAI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Hyro if

  • Scheduling, refills and physician search through Epic should arrive as named skills that deploy without training data.
  • Staff should be able to unpack any answer to the logic pathway and the sources behind it.
  • Payer coverage outreach through ARMR and the IT help desk belong on the same platform as patient access.
  • The knowledge behind the agents should come from your own website and Epic data, and update itself as they change.

Choose PolyAI if

  • Callers should be recognized between conversations, with their preferences and booking history carried forward.
  • Your team wants to choose the model behind the agent, from PolyAI's Raven family to OpenAI models, Claude on Amazon Bedrock or your own endpoint.
  • Every change should pass simulated caller tests that check the backend actions the agent triggered, before publishing and in CI.
  • Engineers will extend agents through the Agents, Conversations and Outbound APIs, iOS and Android SDKs and the Agent Development Kit.
  • Access should be set per area, such as knowledge, flows and deployments, with each member given no access, read access or edit rights.
Feature
H
Hyro
P
PolyAI
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.
Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.
Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.
Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.
Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.
Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
H
Hyro
P
PolyAI

Entry price

Lowest public entry point

 Contact sales Contact for a quote. Use is billed per minute.

Pricing confidence

How public the numbers are

 Contact only Contact only

Billing

Primary billing axis

 — Per minute of voice agent use.

Variable cost

Workload / overage exposure

 Medium variable cost Medium variable cost

Free tier / trial

Try before you buy
No free tier
No free tier

Buying motion

Self-serve vs sales call

 Sales call Sales call

Neither publishes a rate. PolyAI bills per minute, with support, a 99.9 percent uptime SLA and ongoing improvements included, and sets the price after a demo. Hyro sells through a demo and offers a savings calculator.

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