Agentic Index

Parloa vs PolyAI (2026)

Parloa and PolyAI are both enterprise voice agent platforms for large contact centers, and neither publishes a price. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Parloa's pricing is consumption based, tied to the complexity of the work its agents do rather than to seats or flat rates, and is quoted through sales with no free trial. PolyAI prices ongoing use per minute after a demo, and says the rate includes around the clock support, a 99.9 percent uptime SLA, monitoring and continued performance improvements. On the grid PolyAI documents more: model choice across its own Raven models, OpenAI, Amazon Bedrock or the customer's own, memory across calls, retrieval grounded answers, fuller observability and a full API, where Parloa is None or Partial on each. Parloa is Full on human oversight where PolyAI is Partial. Choose PolyAI for documented depth; choose Parloa if its oversight controls and consumption model fit how you run the center.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Parloa 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 Parloa if

  • Human oversight controls must be documented in full; Parloa is Full there and PolyAI Partial.
  • Paying by the complexity of the work the agents do fits how you value automation.
  • One platform to design, simulate, deploy and govern agents across the contact center is the scope.

Choose PolyAI if

  • You want to choose the model behind the agent, from PolyAI's own Raven family to OpenAI, Amazon Bedrock or your own.
  • Callers should be remembered across calls, with answers grounded in your own content.
  • A per minute price that includes support, an uptime SLA and ongoing tuning simplifies the contract.
Feature
P
Parloa
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
P
Parloa
P
PolyAI

Entry price

Lowest public entry point

Consumption based (contact for pricing) 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

High 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

Other matchups in voice agents

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