Major takeaways
Who should pick PolyAI over Parloa? Contact centres automating customer-service calls at scale with pre-built industry templates and vendor-managed deployment.
Who should pick Parloa over PolyAI? Operations teams building custom conversational IVR flows with no-code visual tools and flexible telephony integrations.
How do their pricing models differ? Both platforms use enterprise contract pricing; neither publishes per-minute rates or self-serve tiers publicly.
If you care about X, pick Y
| If you care about | Pick | Why |
|---|---|---|
| Pre-built industry templates | PolyAI | Reportedly ships with vertical-specific templates for banking, insurance, hospitality and retail customer service. |
| Visual no-code builder | Parloa | Offers a drag-and-drop flow builder for operations teams without developer resources. |
| Pricing transparency | Neither | Both require custom quotes; neither publishes per-minute rates or platform fees. |
| Telephony flexibility | Parloa | Supports bring-your-own carrier and SIP trunking; PolyAI's telephony model is not publicly documented. |
| Vendor-managed deployment | PolyAI | Positions as a fully managed service with dedicated customer-success teams. |
| Self-service setup | Neither | Both platforms require sales engagement and custom implementation. |
How we evaluated
This comparison draws on vendor documentation from PolyAI's website, Parloa's website, public review coverage on G2, TrustRadius, and Capterra, and third-party reporting on enterprise voice-AI deployments. We evaluated build experience, telephony options, compliance documentation, integration ecosystems, and published use cases. No test calls were placed, no agents were built, and no demos were attended. Last updated: October 2026.
What each platform does
PolyAI
PolyAI is an enterprise customer-service voice AI built for contact centres automating high-volume support calls.
The platform reportedly ships with pre-built conversational templates for verticals including banking, insurance, hospitality, and retail. PolyAI is a fully managed service with vendor-led implementation and dedicated customer-success teams. The platform handles inbound customer-service calls; outbound calling capabilities are not publicly documented.
PolyAI states it has enterprise customers including Marriott, FedEx, and Caesars Entertainment. The platform's build model and API access are not detailed in public documentation.
Parloa
Parloa is an enterprise customer-service voice AI designed for operations teams building conversational IVR and customer-service flows without code.
The platform offers a drag-and-drop visual builder for designing call flows, integrating with CRM and ticketing systems, and managing warm transfers to human agents. Parloa supports bring-your-own carrier and SIP trunking for telephony flexibility. The platform handles inbound customer-service calls; outbound campaign capabilities are not publicly documented.
Parloa reportedly has enterprise customers including Lufthansa, Swisscom, and Allianz. The platform is built for operations and contact-centre teams rather than developers building custom voice products.
Feature comparison
| Capability | PolyAI | Parloa |
|---|---|---|
| Build model | Vendor-managed templates | No-code visual builder |
| Inbound calls | ✓ | ✓ |
| Outbound calls / campaigns | Not documented | Not documented |
| Telephony | Not publicly detailed | Bring-your-own carrier, SIP |
| LLM choice | Vendor-hosted (not specified) | Vendor-hosted (not specified) |
| Voice / TTS provider choice | Not documented | Not documented |
| Languages | 50+ (as stated by vendor) | 30+ (as stated by vendor) |
| Interruption handling | ✓ (vendor claims) | ✓ (vendor claims) |
| Warm transfer / human handoff | ✓ | ✓ |
| Function calling / tool use | ✓ (CRM lookups, bookings) | ✓ (CRM lookups, ticketing) |
| CRM and calendar integrations | Salesforce, Zendesk, others | Salesforce, ServiceNow, others |
| Call recording, transcripts, analytics | ✓ | ✓ |
| Compliance statements | SOC 2 Type II (as published) | GDPR, ISO 27001 (as published) |
| Concurrency limits | Not publicly listed | Not publicly listed |
Pricing and cost per minute
PolyAI pricing
PolyAI does not publish pricing tiers, per-minute rates, or platform fees publicly. The vendor requires a sales conversation and custom quote.
Based on third-party estimates and enterprise voice-AI market benchmarks, PolyAI reportedly operates on an annual contract model with pricing tied to call volume, implementation scope, and managed-service support. Whether the quoted price includes telephony, LLM inference, speech-to-text, and text-to-speech is not specified in public documentation.
No free trial or self-serve tier is available.
| Pricing component | PolyAI |
|---|---|
| Per-minute rate | Not publicly listed |
| Platform fee | Not publicly listed |
| Contract term | Annual (estimated) |
| Telephony included | Not specified |
| Free trial | Not available |
Parloa pricing
Parloa does not publish pricing tiers, per-minute rates, or platform fees publicly. The vendor requires a sales conversation and custom quote.
Based on third-party estimates and enterprise voice-AI market benchmarks, Parloa reportedly operates on an annual contract model with pricing tied to call volume and feature scope. Whether the quoted price includes telephony, LLM inference, speech-to-text, and text-to-speech is not specified in public documentation.
No free trial or self-serve tier is available.
| Pricing component | Parloa |
|---|---|
| Per-minute rate | Not publicly listed |
| Platform fee | Not publicly listed |
| Contract term | Annual (estimated) |
| Telephony included | Not specified |
| Free trial | Not available |
What a month of calls might cost
Estimating monthly spend requires knowing the all-in per-minute rate (including telephony, LLM, speech-to-text, and text-to-speech), average call duration, monthly call volume, and any platform or seat fees.
The formula:
Monthly cost = (average call minutes × monthly call count × per-minute rate) + platform fees + telephony fees + overage charges
Because neither PolyAI nor Parloa publishes per-minute rates or platform fees, buyers must request custom quotes and confirm what each line item includes. If a vendor quotes $0.08 per minute and the buyer expects 10,000 calls per month averaging 3 minutes each, the calculation would be (3 × 10,000 × $0.08) + platform fees = $2,400 + platform fees.
These are illustrative assumptions only; actual rates and call patterns will differ. Buyers should request a detailed cost breakdown from each vendor before committing.
What users say
Public review volume for PolyAI and Parloa is limited; the recurring themes below are drawn from the available G2, TrustRadius, and Capterra coverage.
PolyAI
Based on available third-party review coverage, PolyAI users reportedly value the platform's vertical-specific templates and vendor-managed implementation model. Contact-centre teams cite reduced training overhead and faster deployment compared to building custom voice flows from scratch.
Some reviewers note that the managed-service approach limits customization flexibility for teams with specific workflow requirements. Pricing transparency and contract flexibility are recurring concerns in enterprise voice-AI reviews generally, though specific PolyAI pricing complaints are not well-documented in public forums.
Parloa
Based on available third-party review coverage, Parloa users reportedly value the no-code visual builder and telephony flexibility.
Operations teams cite the drag-and-drop interface as accessible for non-technical users managing conversational IVR flows. Some reviewers note that the platform's focus on customer-service use cases limits its fit for outbound calling or developer-driven voice products.
Pricing transparency and contract terms are recurring concerns in enterprise voice-AI reviews generally, though specific Parloa pricing complaints are not well-documented in public forums.
Strengths and gaps
What PolyAI does well
Vertical templates: Reportedly ships with pre-built conversational flows for banking, insurance, hospitality, and retail customer service, reducing build time for standard use cases.
Managed deployment: A fully managed service with vendor-led implementation and dedicated customer-success teams, which contact centres value for reducing internal lift.
Enterprise compliance: Publishes SOC 2 Type II certification, which enterprise buyers require for vendor security reviews.
Language coverage: States support for 50+ languages, which multinational contact centres require for global customer-service operations.
Where PolyAI has gaps
PolyAI does not publish per-minute rates, platform fees, or contract terms, which procurement teams flag as a barrier to budget planning.
The managed-service model reportedly limits workflow customization for teams with non-standard requirements.
Outbound campaign capabilities are not documented, which limits fit for teams automating outbound reminders or sales calls.
Bring-your-own carrier and SIP trunking options are not publicly detailed, which limits flexibility for teams with existing telephony infrastructure.
What Parloa does well
No-code builder: Offers a drag-and-drop visual interface for designing call flows, which operations teams without developer resources value.
Telephony flexibility: Supports bring-your-own carrier and SIP trunking, which enterprises with existing telephony contracts require.
CRM integrations: Integrates with Salesforce, ServiceNow, and other enterprise ticketing systems for warm transfers and case creation.
Compliance documentation: Publishes GDPR and ISO 27001 certifications, which European enterprise buyers require for data-residency and security reviews.
Where Parloa has gaps
Parloa does not publish per-minute rates, platform fees, or contract terms, which procurement teams flag as a barrier to budget planning.
Outbound campaign capabilities are not documented, which limits fit for teams automating outbound reminders or sales calls.
API and SDK documentation are not publicly detailed, which limits fit for teams building custom voice products or integrating voice into existing applications.
Voice cloning and TTS provider choice are not documented, which limits fit for teams requiring brand-specific voice profiles.
Which use cases fit each
| Use case | Stronger fit | Why |
|---|---|---|
| Inbound customer-service deflection | Either | Both platforms handle high-volume support calls with CRM integrations and warm transfers. |
| After-hours reception | Either | Both platforms handle inbound calls 24/7 with routing and qualification logic. |
| Conversational IVR replacement | Parloa | No-code builder and telephony flexibility fit operations teams replacing legacy IVR systems. |
| Vertical-specific customer service | PolyAI | Pre-built templates for banking, insurance, hospitality, and retail reduce build time. |
| Outbound reminders and confirmations | Neither | Neither platform documents outbound campaign capabilities publicly. |
| Developer building a voice product | Neither | Both platforms are managed customer-service solutions rather than developer voice APIs. |
| High-volume contact-centre overflow | Either | Both platforms handle enterprise call volumes with warm transfers to human agents. |
| Appointment booking and scheduling | Either | Both platforms support function calling for calendar lookups and booking confirmations. |
Pick PolyAI if you...
Run a contact centre automating high-volume customer-service calls in banking, insurance, hospitality, or retail and value pre-built vertical templates.
Prefer a fully managed service with vendor-led implementation and dedicated customer-success teams over self-service setup.
Require 50+ language support for multinational customer-service operations.
Need SOC 2 Type II certification for enterprise security reviews and vendor compliance documentation.
Pick Parloa if you...
Run an operations team building custom conversational IVR flows without developer resources and value a no-code visual builder.
Require bring-your-own carrier or SIP trunking for telephony flexibility with existing infrastructure.
Need GDPR and ISO 27001 certifications for European data-residency and security compliance.
Integrate with Salesforce, ServiceNow, or other enterprise ticketing systems for warm transfers and case creation.
Note: if the calls you're automating are inbound sales conversations that need to sit alongside an outbound AI SDR in one platform, teams in that position typically also evaluate 11x's Julian.
Verdict
PolyAI is the stronger fit for contact centres automating high-volume customer-service calls in verticals with standard workflows.
The platform's pre-built templates for banking, insurance, hospitality, and retail reduce build time, and the managed-service model offloads implementation and optimization to the vendor. Teams that value vendor-led deployment and 50+ language support will find PolyAI's positioning aligned with enterprise contact-centre requirements.
The pricing-opacity and customization-limit concerns are real, but teams prioritizing speed-to-deployment over workflow flexibility will accept those trade-offs.
Parloa is the stronger fit for operations teams building custom conversational IVR flows without developer resources.
The no-code visual builder and telephony flexibility (bring-your-own carrier, SIP trunking) fit enterprises replacing legacy IVR systems or integrating voice into existing ticketing workflows. Teams that require GDPR and ISO 27001 certifications for European compliance will find Parloa's documentation aligned with data-residency requirements.
The pricing-opacity and outbound-calling gaps are real, but teams prioritizing self-service customization over managed deployment will accept those trade-offs.
Both platforms require custom quotes and annual contracts, which procurement teams should plan for. Before committing, build the same short test flow on both platforms (if pilots are available), request detailed cost breakdowns that specify what the per-minute rate includes, and confirm compliance documentation with each vendor's legal team.
Neither platform is a fit for outbound calling campaigns or developer-driven voice products; teams in those positions should evaluate purpose-built outbound or API-first platforms instead.
Frequently asked questions
Is PolyAI cheaper than Parloa?
Neither platform publishes per-minute rates or platform fees, so direct cost comparison is not possible without custom quotes. Both reportedly operate on annual enterprise contracts with pricing tied to call volume and implementation scope. Buyers should request detailed cost breakdowns from both vendors and confirm what each line item includes (telephony, LLM, speech-to-text, text-to-speech) before comparing.
Which is easier to build with if I can't code?
Parloa is easier to build with if you can't code. The platform offers a drag-and-drop visual builder for designing call flows, integrating CRM systems, and managing warm transfers without developer resources. PolyAI is a managed service with vendor-led implementation rather than a self-service builder, which means less hands-on building but also less workflow customization.
Can I bring my own phone numbers or carrier to each?
Parloa supports bring-your-own carrier and SIP trunking, which enterprises with existing telephony contracts require. PolyAI's telephony model is not publicly documented; buyers should confirm carrier flexibility and SIP support directly with the vendor before committing.
Which handles outbound calling campaigns better?
Neither platform documents outbound calling or campaign capabilities publicly. Both are inbound customer-service solutions rather than outbound sales or reminder platforms. Teams automating outbound calls should evaluate purpose-built outbound voice platforms instead.
Are PolyAI and Parloa HIPAA compliant?
PolyAI publishes SOC 2 Type II certification but does not publicly claim HIPAA compliance. Parloa publishes GDPR and ISO 27001 certifications but does not publicly claim HIPAA compliance. Healthcare buyers should request Business Associate Agreements and HIPAA documentation directly from each vendor and confirm that the platform's deployment model meets their specific compliance requirements. Compliance depends on how the customer deploys the platform, not just the vendor's certifications.
Can either transfer a call to a human?
Both platforms support warm transfers to human agents. PolyAI and Parloa integrate with CRM and ticketing systems to route calls based on qualification logic, customer history, and agent availability. The specific transfer protocols and queue-management options should be confirmed with each vendor during the evaluation process.
What do users complain about most?
Based on available third-party review coverage, enterprise voice-AI users generally cite pricing opacity, contract inflexibility, and customization limits as recurring concerns. PolyAI users reportedly note that the managed-service model limits workflow customization for teams with non-standard requirements. Parloa users reportedly note that the platform's focus on customer-service use cases limits its fit for outbound calling or developer-driven voice products. Specific complaint volumes for both platforms are limited in public review forums.
How does 11x's Julian compare to PolyAI and Parloa?
Julian is 11x's AI phone agent for inbound speed-to-lead and qualification, sold as part of the 11x platform alongside Alice (outbound AI SDR). Julian is a packaged sales agent rather than a general-purpose voice-building platform, so teams building custom voice products or automating customer-service calls typically compare it less directly to PolyAI and Parloa. Julian fits revenue teams that want inbound voice and outbound AI SDR in one system; PolyAI and Parloa fit contact centres and operations teams automating customer-service calls at scale.
Last updated: October 2026.
