Features, pricing, and fit
Compare Kore.ai AI for Service and LiveKit Agents on voice capabilities, pricing, and fit.
Compare Kore.ai and LiveKit Agents for AI phone agents, then match channels, workflows, and deployment models to your call flow.
Enterprise conversation platform whose Talk to Bot surface lets teams test voice or chat tasks and inspect execution logs.
Teams that want a task-oriented builder with an explicit recognition, synonym, and flow-debugging loop.
Explore its buying criteria: AI phone agents · Contact-center AI · Conversation builders.
Realtime agent framework and Cloud platform supporting STT-LLM-TTS pipelines, native realtime models, half-cascade paths, WebRTC, and telephony.
Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.
Explore its buying criteria: AI phone agents · Voice AI platforms.
Both profiles checked 2026-09-04.
Use the table below to compare each provider’s documented scope.
Before you decide
Kore.ai: Not publicly documented LiveKit Agents: Tiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing. 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.
The recorded knowledge and data sources for Kore.ai include Not publicly documented. For LiveKit Agents, 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.
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: Kore.ai: Confirm modules, providers, channel adapters, services, and environments. Vendor trust material is not an independent audit conclusion. LiveKit Agents: Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations.
Record your requirements and pilot results in the buyer worksheet →
Swipe or scroll the table to see every column.
| Criterion | Kore.ai AI for Service | LiveKit Agents |
|---|---|---|
| Provider type | Enterprise conversational AI platform | Realtime voice agent framework and infrastructure |
| Best fit | Teams that want a task-oriented builder with an explicit recognition, synonym, and flow-debugging loop. | Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic. |
| Key capabilities | visual builder; voice self-service; agent assist; enterprise search; governance | open-source framework; WebRTC; SIP; provider plugins; deployment tooling |
| Team sizes | enterprise; contact centers | startup; mid-market; enterprise; developer |
| Call surfaces | phone / PSTN; API / SDK | WebRTC; SIP; phone / PSTN; mobile; web |
| Voice stack | Cascaded speech pipeline | Configurable pipeline with native realtime model support |
| Telephony | Not publicly documented | SIP trunking; carrier integration |
| Call controls | Not publicly documented | Not publicly documented |
| Languages | Not publicly documented | Not publicly documented |
| Integrations | Not publicly documented | Not publicly documented |
| Knowledge and data | Not publicly documented | Not publicly documented |
| Pricing model | Not publicly documented | Tiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing. |
| Pricing signal | Not publicly documented. | Calculator examples include roughly $0.01 session, $0.01 telephony, $0.0014 LLM, $0.0058 STT, $0.03 TTS, and $0.01 observability; inputs vary. |
| Free plan or trial | Not publicly documented | Not publicly documented |
| What stands out | Kore’s documented test workflow switches between Voice and Chat, exercises varied phrasings, and exposes timestamped node execution in a debug window. | LiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony. |
| Considerations | Confirm modules, providers, channel adapters, services, and environments. Vendor trust material is not an independent audit conclusion. | Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations. |
Teams that want a task-oriented builder with an explicit recognition, synonym, and flow-debugging loop.
Kore’s documented test workflow switches between Voice and Chat, exercises varied phrasings, and exposes timestamped node execution in a debug window.
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.
Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.
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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