First, match the provider to the call job

Compare Cognigy.AI and Hume EVI for AI phone agents, then match channels, workflows, and deployment models to your call flow.

Both profiles checked 2026-09-04.

Use the table below to compare each provider’s documented scope.

Before you decide

Cognigy.AI vs Hume EVI: buying questions

How should I compare Cognigy.AI and Hume EVI pricing?

Cognigy.AI: Not publicly documented Hume EVI: Monthly plans include EVI minutes; additional EVI 3 usage is billed per minute on Pro, Scale, and Business, while TTS uses separate character allowances and rates. Ask both vendors to quote the same expected workload, required channels, and implementation scope. Include required subscriptions and usage charges before comparing the total; the listed starting prices alone may cover different work.

Can Cognigy.AI and Hume EVI use my existing data?

The recorded knowledge and data sources for Cognigy.AI include Not publicly documented. For Hume EVI, they include Not publicly documented. Ask each provider to demonstrate access for the exact systems you use, with permissions, freshness, and failure behavior. A source missing from this directory is not proof that a provider cannot support it.

What should I test in a Cognigy.AI vs Hume EVI pilot?

Use the same representative calls, approved instructions, and escalation rules in both pilots. How does it handle interruption and uncertainty? Which actions can it complete, and which require approval? What context reaches a human during transfer? Record conversation quality, completed tasks, human handoffs, and total cost in the buyer worksheet. Check these specific cautions before launch: Cognigy.AI: Confirm current architecture, availability, call controls, data handling, language coverage, and complete cost in a scoped pilot. Hume EVI: Empathic positioning is not proof of accurate emotion inference. Test false interpretations, cultural variation, consent, sensitive uses, and escalation.

Record your requirements and pilot results in the buyer worksheet →

Swipe or scroll the table to see every column.

Features, pricing, and fit
CriterionCognigy.AIEmpathic Voice Interface
Provider typeEnterprise conversational AI platformExpressive native voice model API
Best fitTeams that need one flow reachable through phone, web, API, and custom endpoint surfaces.Developers evaluating prosody-aware spoken interactions with configurable voices and optional supplemental LLMs.
Key capabilitiesvisual flows; Voice Gateway; agent assist; analytics; toolsprosody-aware interaction; expressive output; realtime sessions; tools
Team sizesenterprise; contact centersstartup; mid-market; enterprise; developer
Call surfacesphone / PSTN; API / SDKWebSocket; web; mobile; telephony integrations
Voice stackCascaded pipeline with configurable STT and TTS vendorsNative speech-to-speech with prosody-sensitive processing
TelephonySIP; contact-center integrations; Voice GatewayNot publicly documented
Call controlsNot publicly documentedNot publicly documented
LanguagesNot publicly documentedNot publicly documented
IntegrationsNot publicly documentedNot publicly documented
Knowledge and dataNot publicly documentedNot publicly documented
Pricing modelNot publicly documentedMonthly plans include EVI minutes; additional EVI 3 usage is billed per minute on Pro, Scale, and Business, while TTS uses separate character allowances and rates.
Pricing signalNot publicly documented.EVI 3: Pro $70/month with 1,200 minutes and $0.06/min additional; Scale $200 with 5,000 and $0.05; Business $500 with 12,500 and $0.04.
Free plan or trialNot publicly documentedFree plan includes 5 EVI minutes; confirm the selected EVI version and current terms.
What stands outCognigy separates endpoint choice from speech-provider choice: Voice Gateway connects SIP, while its reference lists cloud and on-prem STT/TTS vendors plus custom providers.EVI’s structured WebSocket messages expose both transcript and vocal-expression measures alongside generated text/audio; EVI versions differ in language coverage and supplemental-LLM requirements.
ConsiderationsConfirm current architecture, availability, call controls, data handling, language coverage, and complete cost in a scoped pilot.Empathic positioning is not proof of accurate emotion inference. Test false interpretations, cultural variation, consent, sensitive uses, and escalation.

Cognigy.AI: fit and scope

Teams that need one flow reachable through phone, web, API, and custom endpoint surfaces.

Cognigy separates endpoint choice from speech-provider choice: Voice Gateway connects SIP, while its reference lists cloud and on-prem STT/TTS vendors plus custom providers.

Empathic Voice Interface: fit and scope

Developers evaluating prosody-aware spoken interactions with configurable voices and optional supplemental LLMs.

EVI’s structured WebSocket messages expose both transcript and vocal-expression measures alongside generated text/audio; EVI versions differ in language coverage and supplemental-LLM requirements.

Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.

Evaluate language support in real calls

Test recognition, speech quality, interruptions, language switching, tool use, and human transfer with your own calls in the required language. Availability can vary by model, plan, and phone route.

DocsBot documents multilingual voice workflows and Japanese support. Verify the exact voice, phone path, and transfer behavior in your pilot. Review DocsBot language information ↗

Other providers’ language claims reflect cited vendor material; confirm Japanese and other required languages directly with each provider.

Listing does not imply endorsement or a performance guarantee. This directory is published by DocsBot. Editorial policy

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