Retell 营收年化破 1 亿美元，发布语音智能体模型 Tell 1
做语音智能体的朋友可以看看这个：Retell 年化收入过 1 亿美元了，还发了用 100 万小时客服通话训的 Tell 1，主打推理不卡顿。配套的 Conductor 能自动分析失败通话并给修复方案，比纯语音 API 更像一套呼叫中心方案。做企业电话客服自动化的团队值得对比测试。
Retell 宣布年化营收突破 1 亿美元，同时发布其首个自研语音模型 Tell 1，面向企业呼叫中心的语音智能体场景。Tell 1 使用超过 100 万小时真实客户通话数据进行训练，官方称可在处理复杂请求时不让来电者等待，即边推理边响应。
除模型外，Retell 还推出配套工具 Conductor，用于分析失败通话、自动生成测试用例并提交修复建议供用户审批，形成从模型到质量管理的完整工作流。
语音智能体赛道此前多由 ElevenLabs、Vapi 等提供通用语音能力，Retell 选择自研专用于客服通话的模型，以垂直数据换取更低延迟和更高接通质量。对需要大规模部署电话客服自动化的企业来说，这条模型加运维工具的组合值得关注。
Retell crossed a $100M revenue run rate and introduced Tell 1, its first AI model designed to power the voice agents used in enterprise contact centers.
According to Retell, Tell 1 was trained on more than 1 million hours of customer calls, which allows it to reason through complex requests without making the caller wait.
Retell users can also use Conductor, a tool that analyzes failed calls, creates test cases, and proposes fixes for approval.
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Retell, Tell 1, 语音智能体, Conductor.
Source attribution: curated from TestingCatalog (@testingcatalog).
