Questions to ask

How providers are classified
Amazon Connect Customer AI with Nova Sonic vendor website preview

Amazon Connect Customer AI lets a Connect bot locale select Nova Sonic speech-to-speech while Connect retains orchestration, intents, and flows.

Contact-center AI and native speech-to-speech model
Scope and signals

Best fit: Amazon Connect contact centers evaluating native speech-to-speech within existing bot locales and flow tooling.

Voice stack: Configurable Connect pipeline with native Nova Sonic option

Telephony: Amazon Connect telephony

voice agentsvoice API runtimecontact-center AI
Pricing signalVendor website ↗
Customer AI voice $0.038/min plus telephony and other AWS services.

Cognigy.AI

by Cognigy

Cognigy.AI vendor website preview

Conversational AI platform with Webchat, SIP Voice Gateway, Voice Copilot, REST, Socket, Webhook, and MCP endpoints.

Enterprise conversational AI platform
Scope and signals

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

Voice stack: Cascaded pipeline with configurable STT and TTS vendors

Telephony: SIP, contact-center integrations, Voice Gateway

voice agentscontact-center AIconversation builder
Pricing signalVendor website ↗
Not publicly documented.
Copilot Studio Voice vendor website preview

Copilot Studio real-time agents deploy to voice and digital channels with a selectable GPT-Realtime native mode or GPT-5-Chat preview plus Neural TTS.

Enterprise agent builder and contact-center AI
Scope and signals

Best fit: Microsoft teams that need Copilot Studio topics, tools, knowledge, handoffs, and explicit voice configuration across channels.

Voice stack: Native GPT-Realtime mode or cascaded GPT-5-Chat mode

Telephony: Dynamics 365 Contact Center and Azure integration paths

conversation buildervoice agentscontact-center AI
Pricing signalVendor website ↗
Dynamics Voice $95/user/month, Contact Center $110, Premium $195, plus Azure/Copilot and telephony.

Decagon Voice

by Decagon

Decagon Voice vendor website preview

Voice customer-service agent with configurable voice profiles, outbound calling, human handoff summaries, guardrails, and support-stack integrations.

Enterprise customer-service agent platform
Scope and signals

Best fit: Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems.

Voice stack: Not publicly documented

Telephony: Not publicly documented

voice agentscontact-center AI
Pricing signalVendor website ↗
Not publicly documented.
Kore.ai AI for Service vendor website preview

Enterprise conversation platform whose Talk to Bot surface lets teams test voice or chat tasks and inspect execution logs.

Enterprise conversational AI platform
Scope and signals

Best fit: Teams that want a task-oriented builder with an explicit recognition, synonym, and flow-debugging loop.

Voice stack: Cascaded speech pipeline

Telephony: Not publicly documented

voice agentscontact-center AIconversation builder
Pricing signalVendor website ↗
Not publicly documented.

Parloa AMP

by Parloa

Parloa AMP vendor website preview

End-to-end agent management platform that turns natural-language briefs into governed voice and digital workflows, then simulates, deploys, and monitors them.

Enterprise contact-center voice AI
Scope and signals

Best fit: Large contact centers needing centralized lifecycle control across brands, regions, channels, and task complexity.

Voice stack: Cascaded speech pipeline

Telephony: Not publicly documented

voice agentscontact-center AIconversation builder
Pricing signalVendor website ↗
Consumption and task-complexity based enterprise contract; no public rate.
PolyAI Voice Assistants vendor website preview

Enterprise voice-and-chat platform with Agent Studio, a Git-oriented Python ADK, REST APIs, knowledge/flows, and analytics.

Enterprise contact-center voice AI
Scope and signals

Best fit: Enterprise service teams that need managed voice agents plus visual, code-first, or programmatic build surfaces.

Voice stack: Cascaded ASR-LLM-TTS architecture

Telephony: Not publicly documented

voice agentscontact-center AI
Pricing signalVendor website ↗
Not publicly documented.
Regal AI Agents vendor website preview

Revenue and contact-center platform with a no-code voice-agent builder, unified customer profiles, event-triggered journeys, IVR/routing, and cross-channel outreach.

Revenue and contact-center voice agent platform
Scope and signals

Best fit: Revenue or service teams coordinating inbound and outbound voice with customer-signal-driven journeys.

Voice stack: Not publicly documented

Telephony: Not publicly documented

voice agentsoutbound voicecontact-center AI
Pricing signalVendor website ↗
Not publicly documented.
Replicant vendor website preview

Contact-center automation platform that analyzes human conversations, builds LLM agents with code-based guardrails, then tests, deploys, and improves them.

Enterprise contact-center voice AI
Scope and signals

Best fit: Contact centers automating defined call types with historical conversations, business logic, and controlled escalation paths.

Voice stack: Cascaded speech pipeline

Telephony: Not publicly documented

voice agentscontact-center AI
Pricing signalVendor website ↗
Custom enterprise tiers; no public rate.

Sierra Agent

by Sierra

Sierra Agent vendor website preview

Customer-service agent platform for inbound/outbound voice, messaging, email, live assist, and ChatGPT channel publishing.

Enterprise customer-service agent platform
Scope and signals

Best fit: CX organizations that want one agent model across voice and digital channels with brand-persona controls.

Voice stack: Not publicly documented

Telephony: Not publicly documented

voice agentscontact-center AI
Pricing signalVendor website ↗
Outcome-based enterprise pricing; no public rate.

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Before you decide

Contact-center AI: Questions buyers ask

How should a contact center define containment?

Define a successful resolution, repeat-contact window, exclusions, abandoned calls, transfer treatment, and caller confirmation before testing. Avoid counting every non-transfer as a success.

How should a contact center define containment?

Define successful resolution, repeat-contact window, exclusions, abandoned calls, transfer treatment, and caller confirmation before testing. A non-transfer is not automatically a successful resolution.

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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