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Head-to-head · AI Voice Agents

Retell AI vs Cognigy

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Retell AI #1 in AI Voice Agents 9.4/10 Paid ✓ 4 of 4 features Visit Retell AI
Cognigy #7 in AI Voice Agents 8.8/10 Pricing on request ✓ 1 of 4 features Visit NiCE Cognigy

Retell AI leads on 0 checks, Cognigy on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreRetell AI · 9.4/10
  • Most featuresRetell AI · 4 of 4

Retell AI scores higher on our rubric for ai voice agents: 9.4 against 8.8 out of 10; our editors rank them #1 and #7.

Retell AI is the better fit for teams needing practical phone automation quickly. Cognigy is the better fit for enterprises coordinating voice and digital service.

  • Retell AI fits best

    Teams needing practical phone automation quickly

  • Cognigy fits best

    Enterprises coordinating voice and digital service

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Side by side

Feature Retell AI 9.4/10 Visit ↗ Cognigy 8.8/10 Visit ↗
At a glance
Editor score 9.4 8.8
Ranking #1 in AI Voice Agents #7 in AI Voice Agents
Best for Teams needing practical phone automation quickly Enterprises coordinating voice and digital service
Pricing model Paid Paid
Starting price $0.07 usage-based Pricing on request
Free plan — Not checked yet
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Integrations 12 integrations 16 integrations
Features Retell AI 4/4 · Cognigy 1/4
Inbound calls ✓ (best) Not checked yet
Outbound calls ✓ (best) Not checked yet
Human handoff ✓ ✓
Custom phone numbers ✓ (best) Not checked yet
Specs
Supported languages 55 languages Not checked yet
Concurrent calls 20 calls Not checked yet
Our review
Pros
  • Handles inbound calls, outbound campaigns, IVR, and DTMF navigation
  • Transfers callers with transcript context and supports knowledge-base responses
  • Includes analytics, transcripts, simulation testing, and CRM integrations
  • Design flows visually and generate nodes and content with AI assistance
  • Deploy across voice, webchat, messaging, and third-party endpoints
  • Connect knowledge, multiple LLM providers, analytics, and human handoff
Cons
  • Usage-based pricing can vary by model, voice, telephony, and add-ons
  • Enterprise features such as SSO and role-based access require custom pricing
  • The platform is focused on business phone operations rather than general voice use
  • Pricing is contact-sales rather than published as standard plans
  • Complex flow, channel, and knowledge needs may exceed smaller teams' needs
  • Support channels are limited to tickets and documentation
Our verdict

Retell AI is a platform for building, testing, deploying, and monitoring AI voice agents for business phone operations. It supports inbound call answering, outbound batch calling, appointment booking, record updates, IVR navigation, DTMF…

Read the review →

Cognigy is an enterprise conversational AI platform for automating customer-service interactions across voice, webchat, messaging, and contact-center channels. Its visual flow editor, generative assistance, knowledge management, and…

Read the review →
  1. Retell AIAI Voice Agents 9.4Paid
  2. CognigyAI Voice Agents 8.8Pricing on request

Strengths and trade-offs

  • Retell AI — where it wins

    • Handles inbound calls, outbound campaigns, IVR, and DTMF navigation
    • Transfers callers with transcript context and supports knowledge-base responses
    • Includes analytics, transcripts, simulation testing, and CRM integrations

    Where it doesn't

    • Usage-based pricing can vary by model, voice, telephony, and add-ons
    • Enterprise features such as SSO and role-based access require custom pricing
    • The platform is focused on business phone operations rather than general voice use
  • Cognigy — where it wins

    • Design flows visually and generate nodes and content with AI assistance
    • Deploy across voice, webchat, messaging, and third-party endpoints
    • Connect knowledge, multiple LLM providers, analytics, and human handoff

    Where it doesn't

    • Pricing is contact-sales rather than published as standard plans
    • Complex flow, channel, and knowledge needs may exceed smaller teams' needs
    • Support channels are limited to tickets and documentation

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update