First, match the provider to the call job

Compare LiveKit Agents and Regal AI 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

LiveKit Agents vs Regal AI: buying questions

How should I compare LiveKit Agents and Regal AI pricing?

LiveKit Agents: Tiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing. Regal AI: Not publicly documented 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 LiveKit Agents and Regal AI use my existing data?

The recorded knowledge and data sources for LiveKit Agents include Not publicly documented. For Regal AI, 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 LiveKit Agents vs Regal AI 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: LiveKit Agents: Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations. Regal AI: Architecture is undisclosed. Outbound consent, suppression, caller identity, pacing, and jurisdiction rules remain buyer responsibilities.

Record your requirements and pilot results in the buyer worksheet →

Swipe or scroll the table to see every column.

Features, pricing, and fit
CriterionLiveKit AgentsRegal AI Agents
Provider typeRealtime voice agent framework and infrastructureRevenue and contact-center voice agent platform
Best fitEngineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.Revenue or service teams coordinating inbound and outbound voice with customer-signal-driven journeys.
Key capabilitiesopen-source framework; WebRTC; SIP; provider plugins; deployment toolinginbound agents; outbound agents; event-driven outreach; CRM integration; human routing
Team sizesstartup; mid-market; enterprise; developermid-market; enterprise; revenue teams
Call surfacesWebRTC; SIP; phone / PSTN; mobile; webphone / PSTN; API / SDK
Voice stackConfigurable pipeline with native realtime model supportNot publicly documented
TelephonySIP trunking; carrier integrationNot 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 modelTiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing.Not publicly documented
Pricing signalCalculator examples include roughly $0.01 session, $0.01 telephony, $0.0014 LLM, $0.0058 STT, $0.03 TTS, and $0.01 observability; inputs vary.Not publicly documented.
Free plan or trialNot publicly documentedNot publicly documented
What stands outLiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony.Regal documents operational voice controls such as fallback voices, DTMF collection, voicemail settings, and IVR/routing alongside its event-triggered Journey Builder.
ConsiderationsCalculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations.Architecture is undisclosed. Outbound consent, suppression, caller identity, pacing, and jurisdiction rules remain buyer responsibilities.

LiveKit Agents: fit and scope

Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.

LiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony.

Regal AI Agents: fit and scope

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

Regal documents operational voice controls such as fallback voices, DTMF collection, voicemail settings, and IVR/routing alongside its event-triggered Journey Builder.

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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