客服团队和语音 AI 开发者可以亲眼看到：小模型专精化路线在延迟和效果上碾压通用大模型，PolyAI 的新工具让 10 分钟部署语音代理成为现实，值得立即关注。
PolyAI 发布 Raven 3.5，一个专为客服场景设计的小型语音 AI 模型，在四个客服基准测试中全面超越 GPT-5 和 Claude Sonnet 4.6，且延迟低于 300 毫秒。该研究证明了领域专用模型在特定任务上可以大幅超越百倍规模的通用模型。同时，PolyAI 推出两款新产品：ADK（代码优先的智能体开发工具包）和 PolyPhone（10 分钟将网站转为语音 AI 代理），推动企业语音 AI 从呼叫中心项目走向快速部署的基础设施。
Can a smaller model purpose-built for one domain b…
Can a smaller model purpose-built for one domain beat a frontier general model that's 100× its size?
A recent paper showed yes — and not by a small margin.
Raven 3.5 from PolyAI shows that a smaller specialist model can beat bigger general models on customer service calls.
It beats GPT-5 and Claude Sonnet 4.6 on all 4 customer service benchmarks while staying under 300ms latency.
This is one of the live debates in ML. Every researcher is asking this question. The paper is the empirical answer.
PolyAI's research team published “Raven 3.5: The post-training recipe that beats GPT-5 for customer service”
—- Voice agents are moving from call-center software into everyday product infrastructure.
PolyAI’s launch targets the gap between website traffic and real customer conversations.
Made every website capable of answering out loud.
PolyAI helps enterprises fix slow phone support, long wait times, costly contact centers, robotic IVRs, and missed revenue from abandoned calls. Its voice agents handle customer conversations 24/7 across voice, chat, SMS, and social channels in 45+ languages. The result is faster support, lower operating cost, more consistent answers, and better customer experience at enterprise scale.
📞 PolyAI is launching 2 new voice AI products: ADK, a code-first Agent Development Kit for building production voice agents from your own IDE, and PolyPhone, which turns any website into a live voice AI agent in about 10 minutes.
ADK connects directly into Agent Studio, so developers can build, manage, and deploy agents from the terminal.
PolyPhone reads a website, understands things like FAQs and product details, then creates a voice agent that can be embedded on any webpage without needing telephony setup.
The bigger point: enterprise voice AI is moving from “contact center project” to “something teams can build and ship much faster.”
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