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Head-to-head · AI Voice Agents

Tone vs Cognigy

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Tone #2 in AI Voice Agents 9.3/10 Free plan Free plan✓ 4 of 4 features Visit Tone
Cognigy #7 in AI Voice Agents 8.8/10 Pricing on request ✓ 1 of 4 features Visit NiCE Cognigy

Tone 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 scoreTone · 9.3/10
  • Free planonly Tone
  • Most featuresTone · 4 of 4

Tone scores higher on our rubric for ai voice agents: 9.3 against 8.8 out of 10; our editors rank them #2 and #7.

Tone is the better fit for teams wanting a complete open-source voice platform. Cognigy is the better fit for enterprises coordinating voice and digital service.

  • Tone fits best

    Teams wanting a complete open-source voice platform

  • Cognigy fits best

    Enterprises coordinating voice and digital service

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Tone 9.3/10 Visit ↗ Cognigy 8.8/10 Visit ↗
At a glance
Editor score 9.3 8.8
Ranking #2 in AI Voice Agents #7 in AI Voice Agents
Best for Teams wanting a complete open-source voice platform Enterprises coordinating voice and digital service
Pricing model Free plan + paid Paid
Starting price $0.09 usage-based Pricing on request
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Integrations 20 integrations 16 integrations
Features Tone 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 29 languages Not checked yet
Concurrent calls Not checked yet Not checked yet
Our review
Pros
  • Self-hosting includes unlimited agents, calls, workflows, and integrations.
  • Visual workflows support conditional branches and human handoff.
  • Testing, call observability, and knowledge citations are built in.
  • 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
  • Self-hosting requires teams to bring their own LLM, voice, and telephony.
  • Cloud usage is billed per minute rather than through a fixed plan.
  • Enterprise pricing is not specified in the published plan details.
  • 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

Tone is an open-source platform for teams building phone and other conversational agents. It supports inbound and outbound calls, web widgets, chat, and SMS, with a runtime, workflow builder, knowledge base, testing tools, and…

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. ToneAI Voice Agents 9.3Free plan
  2. CognigyAI Voice Agents 8.8Pricing on request

Strengths and trade-offs

  • Tone — where it wins

    • Self-hosting includes unlimited agents, calls, workflows, and integrations.
    • Visual workflows support conditional branches and human handoff.
    • Testing, call observability, and knowledge citations are built in.

    Where it doesn't

    • Self-hosting requires teams to bring their own LLM, voice, and telephony.
    • Cloud usage is billed per minute rather than through a fixed plan.
    • Enterprise pricing is not specified in the published plan details.
  • 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