Parloa vs Cognigy: Pricing, Features & Use Cases (2026)

Parloa is an enterprise customer-service voice AI platform with a visual builder and pre-built industry templates. Cognigy is an enterprise customer-service voice AI platform offering low-code orchestration and multi-channel support beyond voice.

Major takeaways

Who should pick Parloa over Cognigy? Teams that need pre-built customer-service templates, industry-specific compliance documentation, and a visual builder without requiring multi-channel orchestration beyond voice reportedly find Parloa's focused approach easier to deploy.

Who should pick Cognigy over Parloa? Operations teams that need to unify voice, chat, and messaging in one platform, or that require extensive CRM and contact-center integrations, reportedly prefer Cognigy's broader orchestration layer.

How do their pricing models differ? Both platforms use enterprise contract pricing not publicly listed. Parloa reportedly charges per conversation or per minute depending on deployment. Cognigy reportedly uses a platform-fee-plus-usage model with per-session pricing.

If you care about X, pick Y

How we evaluated these platforms

This comparison draws on Parloa's and Cognigy's published documentation, pricing-inquiry responses shared on G2, TrustRadius, and Capterra, and vendor-published case studies as of November 2026. We reviewed feature matrices, integration lists, compliance statements, and user reviews on G2 and TrustRadius. No test calls were placed. No agents were built. Pricing figures reflect enterprise-contract estimates shared by third-party sources and are not independently verified.

Last updated: November 2026.

What each platform does

Cognigy

Cognigy is an enterprise customer-service voice AI platform built for contact centers and operations teams that need to automate voice, chat, and messaging in one orchestration layer. Teams build conversational flows using Cognigy.AI, a low-code visual editor, and deploy agents across phone (Cognigy Voice Gateway), web chat, WhatsApp, SMS, and other channels. Cognigy reportedly serves enterprise customers including Bosch, Lufthansa, and Toyota. The platform integrates natively with Genesys, Five9, Salesforce, and ServiceNow.

Cognigy supports 100+ languages. It offers bring-your-own LLM and TTS provider options. Cognigy positions itself as a multi-channel orchestration layer rather than a voice-only solution.

Parloa

Parloa is an enterprise customer-service voice AI platform with a visual builder and pre-built templates for retail, telecom, utilities, and financial services. Teams design call flows using Parloa's drag-and-drop interface, which reportedly requires no coding for standard use cases. Parloa handles inbound customer-service calls, appointment booking, and order tracking. It offers warm transfer to human agents.

The platform reportedly serves customers including Edeka, Telefónica, and E.ON. Parloa supports 30+ languages. It provides managed telephony or bring-your-own-carrier options. The platform is voice-focused and does not extend to chat or messaging channels.

Feature comparison

Pricing and cost per minute

Parloa pricing structure

Parloa does not publish pricing on its website. Based on third-party sources on G2 and TrustRadius, Parloa reportedly uses an enterprise contract model with pricing based on conversation volume or per-minute usage, depending on deployment. One G2 review from 2025 estimates $0.10–$0.25 per minute for mid-market deployments, though this figure is unverified and may exclude telephony, LLM inference, and TTS costs if those are billed separately.

Parloa reportedly requires annual contracts with minimum spend commitments. No free tier or self-serve trial is documented. Pricing inquiries require contact with Parloa's sales team.

Source: Third-party estimates on G2 and TrustRadius, November 2026.

Cognigy pricing structure

Cognigy does not publish pricing on its website. Based on third-party sources on G2 and TrustRadius, Cognigy reportedly uses a platform-fee-plus-usage model, with pricing based on sessions (a session is one conversation, which may include multiple turns) or per-minute usage for voice. One TrustRadius review from 2025 estimates $0.15–$0.30 per minute for voice deployments, though this figure is unverified and may exclude telephony and third-party LLM or TTS costs if the customer brings their own providers.

Cognigy reportedly requires annual contracts with minimum spend commitments. No free tier or self-serve trial is documented. Pricing inquiries require contact with Cognigy's sales team.

Source: Third-party estimates on G2 and TrustRadius, November 2026.

What a month of calls might cost

To estimate monthly spend on either platform, use this formula:

Monthly cost = (average call length in minutes × number of calls per month × all-in per-minute rate) + platform fee + telephony costs + overage charges

The all-in per-minute rate should include LLM inference, TTS, and telephony if those are billed separately. If the vendor does not specify what the per-minute rate includes, request a detailed cost breakdown during the sales process.

Illustrative example (not a benchmark): Assume 3-minute average call length, 10,000 calls per month, and an all-in per-minute rate of $0.20 (this is an assumption; replace with your vendor quote). Monthly usage cost would be 3 × 10,000 × $0.20 = $6,000. Add any platform fee (not disclosed by either vendor) and telephony costs if billed separately. This example is for estimation purposes only. Actual costs depend on contract terms, volume tiers, and whether LLM and TTS are included or billed separately.

What users say about each platform

Parloa user feedback

Public review coverage for Parloa was limited at the time of writing. Based on the available G2 and TrustRadius reviews, users reportedly appreciate Parloa's pre-built templates and visual builder, which reduce time to deployment for standard customer-service use cases. Some reviewers note that custom integrations require developer support. The platform's focus on voice limits its use for teams that need multi-channel orchestration. One reviewer on G2 in 2025 noted that Parloa's analytics dashboard is less detailed than competitors' offerings.

Cognigy user feedback

Public review coverage for Cognigy was limited at the time of writing. Based on the available G2 and TrustRadius reviews, users reportedly value Cognigy's multi-channel orchestration and native CRM integrations, which simplify deployment for contact centers already using Salesforce or Genesys. Some reviewers note that the low-code interface has a steeper learning curve than pure no-code platforms. Pricing opacity makes budgeting difficult during the evaluation phase. One reviewer on TrustRadius in 2025 noted that onboarding required significant vendor support.

Strengths and gaps

What Parloa does well

Pre-built templates. Parloa ships industry-specific templates for retail, telecom, utilities, and financial services, which reportedly reduce time to deployment for standard customer-service use cases.

Visual builder. The drag-and-drop interface reportedly requires no coding for standard flows, making it accessible to operations teams without developer support.

Managed telephony option. Parloa offers bundled telephony, which simplifies deployment for teams that do not have existing carrier relationships.

Warm transfer. Parloa supports warm transfer to human agents with call context, which is critical for customer-service escalations.

Where Parloa has gaps

Parloa is voice-only and does not extend to chat, messaging, or other channels, which limits its use for teams that need unified orchestration. Native CRM integrations are reportedly limited. Most CRM connections require custom API work. No public pricing page or cost calculator exists. Teams must engage sales to estimate costs.

Outbound campaigns are reportedly supported but require custom setup. The platform is optimized for inbound customer-service calls.

What Cognigy does well

Multi-channel orchestration. Cognigy.AI handles voice, web chat, WhatsApp, SMS, and other channels in one platform, which simplifies deployment for teams that need unified customer engagement.

CRM and contact-center integrations. Native integrations with Salesforce, ServiceNow, Genesys, and Five9 reportedly reduce custom API work.

Bring-your-own LLM and TTS. Cognigy supports bring-your-own providers for LLM and TTS, which gives teams control over model choice and cost.

Language coverage. Cognigy supports 100+ languages, which is broader than most competitors.

Where Cognigy has gaps

The low-code interface reportedly has a steeper learning curve than pure no-code platforms. It may require developer support for complex flows. No public pricing page or cost calculator exists. Teams must engage sales to estimate costs. Per-minute rates may exclude LLM and TTS if bring-your-own providers are used.

Cognigy is a multi-channel platform, not a voice-first product. Teams that need only voice may find the additional orchestration layer unnecessary. Some reviewers note that onboarding requires significant vendor support, which may slow time to deployment.

Which use cases fit each platform

Pick Parloa if you...

Need pre-built templates for retail, telecom, utilities, or financial-services customer-service calls and want to deploy quickly without custom configuration.

Prefer a visual no-code builder that operations teams can use without developer support for standard flows.

Do not need multi-channel orchestration beyond voice and want a focused voice-only platform.

Want the option of managed telephony and do not have an existing carrier relationship or contact-center infrastructure.

Pick Cognigy if you...

Need to unify voice, chat, WhatsApp, SMS, and other channels in one orchestration platform and want a single interface for all customer engagement.

Already use Salesforce, ServiceNow, Genesys, or Five9 and want native integrations that reduce custom API work.

Want the flexibility to bring your own LLM and TTS providers and control model choice and cost.

Need support for 100+ languages and operate in multiple regions with diverse language requirements.

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: which platform fits your use case

Parloa is the stronger fit for operations teams that need to deploy customer-service voice agents quickly using pre-built templates, and that do not require multi-channel orchestration beyond voice. The visual no-code builder reportedly reduces time to deployment for standard use cases like appointment booking, order tracking, and customer-service deflection. Teams in retail, telecom, and utilities that need industry-specific compliance documentation and managed telephony will find Parloa's focused approach easier to deploy than a multi-channel platform.

Cognigy is the better starting point for contact centers and operations teams that need to unify voice, chat, and messaging in one orchestration layer, or that already use Salesforce, Genesys, or Five9 and want native integrations. The bring-your-own LLM and TTS options give developers control over model choice and cost. The 100+ language support makes Cognigy a stronger fit for global deployments. Teams that need only voice may find the additional orchestration layer unnecessary.

Neither platform publishes pricing, which makes cost comparison difficult during the evaluation phase. Request detailed cost breakdowns from both vendors, including whether per-minute rates include telephony, LLM inference, and TTS, or whether those are billed separately. Build the same short test flow on both platforms during the proof-of-concept phase to compare ease of use. Confirm compliance documentation (HIPAA BAA, GDPR DPA) directly with each vendor if your use case requires it.

FAQ

Is Parloa cheaper than Cognigy?

Neither platform publishes pricing. Based on third-party estimates on G2 and TrustRadius, Parloa's per-minute rate is estimated at $0.10–$0.25, and Cognigy's at $0.15–$0.30, though both figures are unverified and may exclude telephony, LLM, and TTS costs. Request detailed cost breakdowns from both vendors, including platform fees, minimum commitments, and whether per-minute rates are all-in or exclude third-party costs.

Which is easier to build with if I can't code?

Parloa's visual no-code builder is reportedly simpler for non-technical teams, especially for standard customer-service use cases where pre-built templates reduce configuration work. Cognigy's low-code interface offers more orchestration options but has a steeper learning curve. If your use case fits Parloa's templates, it is likely the faster path to deployment without developer support.

Can I bring my own phone numbers or carrier to each?

Parloa offers bundled telephony or bring-your-own-carrier options. Cognigy requires bring-your-own carrier or integration with a contact-center platform like Genesys or Five9. If you already have a carrier relationship or contact-center infrastructure, Cognigy's integration approach may reduce telephony costs. If you do not, Parloa's bundled telephony simplifies deployment.

Which handles outbound calling campaigns better?

Neither platform is optimized for outbound sales calling. Parloa supports outbound calls but reportedly requires custom setup and is focused on inbound customer-service use cases. Cognigy supports outbound via Voice Gateway but is also optimized for inbound. Teams that need high-volume outbound sales calling typically evaluate dedicated outbound platforms rather than customer-service voice AI.

Are Parloa and Cognigy HIPAA compliant?

Both platforms publish SOC 2 Type II and GDPR compliance statements. HIPAA compliance depends on whether the vendor will sign a Business Associate Agreement (BAA) and how the platform is deployed. Request HIPAA documentation directly from each vendor if your use case requires it. Confirm that call recording, transcripts, and analytics meet your data-retention and encryption requirements.

Can either transfer a call to a human?

Both platforms support warm transfer to human agents with call context. Parloa's warm transfer is reportedly straightforward to configure in the visual builder. Cognigy's warm transfer integrates with contact-center platforms like Genesys and Five9, which simplifies handoff for teams already using those systems. Confirm transfer latency and context-handoff format during the proof-of-concept phase.

What do users complain about most?

Public review coverage for both platforms was limited at the time of writing. Based on available G2 and TrustRadius reviews, Parloa users note that custom CRM integrations require developer support. The platform's voice-only focus limits multi-channel use cases. Cognigy users note that the low-code interface has a steeper learning curve than pure no-code platforms. Pricing opacity makes budgeting difficult during evaluation.

How does 11x's Julian compare to Parloa and Cognigy?

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 for customer service typically compare it less directly to Parloa or Cognigy. Teams that need inbound sales qualification and outbound prospecting in one platform evaluate Julian and Alice together. Teams that need customer-service voice automation or multi-channel orchestration evaluate Parloa, Cognigy, and similar platforms.

What languages do Parloa and Cognigy support?

Parloa supports 30+ languages as published on its website. Cognigy supports 100+ languages. If your use case requires specific regional languages or dialects, confirm language availability and quality directly with each vendor during the proof-of-concept phase.

Do Parloa and Cognigy offer analytics and call transcripts?

Both platforms provide full call transcripts and analytics dashboards. Cognigy includes sentiment analysis. Parloa's analytics dashboard is reportedly less detailed than some competitors' offerings, based on user reviews. Confirm that analytics meet your reporting requirements during the proof-of-concept phase.