[KongchangAI]
ProductRetell AI

Retell

A platform focused on voice AI agent orchestration, providing capabilities including conversational flow management, low-latency response, interruption detection, and telephony system integration. It is positioned as an integrated solution for upper-layer agent orchestration.

Core Facts

Timeline (last 90 days)

Oct 27

The Retell platform carries 100 million calls per month.

Unverified50%
Oct 27

The test set and scoring criteria of Retell's voice agent benchmark test are not disclosed in the source material, making external reproduction difficult.

Unverified50%
Oct 27

Deep reliance on a single model vendor reduces integration complexity, but it also means a high degree of dependence on a single vendor.

Unverified50%
Oct 27

Retell is deeply tied to OpenAI's single-model system rather than widely diversified across multiple vendors.

Unverified50%
Oct 27

The introduction of Codex helped Retell achieve an annualized revenue run rate of $1.6 million per employee.

Unverified50%
Oct 27

GPT-6 Astra ranks first in Retell's voice agent benchmark test.

Unverified50%
Oct 25

The operator of a small residential roofing company routed missed calls to an AI receptionist, using Retell configured with the GPT 5.6 Terra model, ElevenLabs' Jeremy voice, accurate transcription mode, dynamic response waiting, interrupt sensitivity set to 0.6, and real call latency of about 1.0 to 1.8 seconds.

Unverified50%
Oct 19

The Retell platform offers three ways to structure a voice agent: single prompt, multi-prompt (state machine), and conversation flow (visual graph).

Unverified50%
Oct 8

If the core requirement is conversation orchestration and call stability, a mature agent platform (such as Retell) may still hold engineering advantages; if voice naturalness is the biggest selling point and the team can handle conversation orchestration independently, the updated ElevenLabs may be worth considering.

Unverified50%
Oct 8

Platforms like Retell add a conversation orchestration layer on top of the ASR, LLM, and TTS modules, responsible for managing state machines, invoking external tools, handling interruption logic, and managing integration with PSTN or VoIP.

Unverified50%

3 more timeline events

All Facts (14)

Verified

传统语音AI普遍采用级联式架构,先用ASR将语音转文字,再交给语言模型处理,最后用TTS合成输出

75%
Unverified

The test set and scoring criteria of Retell's voice agent benchmark test are not disclosed in the source material, making external reproduction difficult.

50%
Unverified

The Retell platform carries 100 million calls per month.

50%
Unverified

GPT-6 Astra ranks first in Retell's voice agent benchmark test.

50%
Unverified

The introduction of Codex helped Retell achieve an annualized revenue run rate of $1.6 million per employee.

50%
Unverified

Retell is deeply tied to OpenAI's single-model system rather than widely diversified across multiple vendors.

50%
Unverified

Deep reliance on a single model vendor reduces integration complexity, but it also means a high degree of dependence on a single vendor.

50%
Unverified

The operator of a small residential roofing company routed missed calls to an AI receptionist, using Retell configured with the GPT 5.6 Terra model, ElevenLabs' Jeremy voice, accurate transcription mode, dynamic response waiting, interrupt sensitivity set to 0.6, and real call latency of about 1.0 to 1.8 seconds.

50%
Unverified

The Retell platform offers three ways to structure a voice agent: single prompt, multi-prompt (state machine), and conversation flow (visual graph).

50%
Unverified

Retell is a platform focused on voice agent orchestration, with strengths in conversation flow management, low-latency response, and engineering optimization for call stability.

50%
Unverified

Platforms like Retell add a conversation orchestration layer on top of the ASR, LLM, and TTS modules, responsible for managing state machines, invoking external tools, handling interruption logic, and managing integration with PSTN or VoIP.

50%
Unverified

If the core requirement is conversation orchestration and call stability, a mature agent platform (such as Retell) may still hold engineering advantages; if voice naturalness is the biggest selling point and the team can handle conversation orchestration independently, the updated ElevenLabs may be worth considering.

50%
Unverified

For the prototype validation stage, it is recommended to prioritize the free credits of all-in-one platforms like Vapi and Retell; for small-scale launch, switch to Telnyx or Plivo; and for large-scale production, choose Twilio or a self-built solution.

50%
Unverified

The backend of GPT-6 Astra's voice mode calls Codex as the execution engine.

50%

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