PolyAI现已向所有企业开发者开放其Agentic Dialog平台,将语音AI服务从高昂的年度合约变为可通过终端免费试用的产品。该平台的核心目标并非语音识别,而是攻克在通话中动态追踪复杂、多变的人类意图这一难题。其专有模型Raven将代理行为直接内置于模型本身,避免了冗长提示词在复杂对话中的失效问题。该模型已为FedEx等大品牌处理超10亿次对话。平台支持集成Raven或GPT-5等外部模型,使任何团队都能轻松构建、测试并部署企业级对话智能体。
Voice AI might be the biggest productivity boost you can add to almost any office job.
And with PolyAI’s Agentic Dialog Platform now open to every enterprise builder, Voice AI has gone from a 6-figure annual contract to a free trial you can install straight from your terminal.
The hard part is not speech recognition, because the real challenge is keeping track of messy human intent while a caller changes details, adds urgency, or asks for something the system did not expect.
Their proprietary model Raven, has the agent behavior built into the model itself instead of relying on long prompts that can drift when calls get complicated.
Starting today, we're opening our Agentic Dialog Platform to every enterprise builder. Our dialog agents have resolved 1 billion+ customer conversations for clients like FedEx, Unicredit, PG&E, Marriott, Foot Locker, and many more. These aren't easy conversations. They solve problems like: > A patient booking medical transport who needs insurance verified on the spot. > A homeowner calling their utility company about a gas leak. > A cardholder figuring out why their must-have purchase was declined. Standard conversational AI was never built for this. It was designed for chat, adapted for voice later. It generates responses, but can't do what dialog requires: hold context under pressure, navigate ambiguity in real time, and actually resolve problems. So we built a better model. Our proprietary model Raven was built from the ground up specifically for dialog. Agent harness in the weights, not bolted on through prompts that drift under pressure. And in our platform, you can deploy Raven as your default or bring in GPT-5, Claude, Gemini, whatever model fits your use case or regulatory requirement. Now that the Agentic Dialog Platform is open, any team can create, test, and deploy dialog agents on the same model and infrastructure the world’s top brands trust on their hardest days. This opens up the pool of builders across your entire enterprise. The person who knows customers best, who runs operations, who owns the customer journey: they're all builders now. Two ways to build: > Poly Agent Builder: Describe your use case in natural language, and it configures your agent, knowledge base, and conversation flows automatically. Production-ready in ten minutes. > Agent Development Kit (ADK): Developers use this to build dialog agents the same way they build everything else. Use your own IDE, a coding assistant like Claude, version with Git, deploy from your terminal. Get started now: http://studio.poly.ai/在 X 查看被引用的帖子
来源:Rohan Paul · x.com