PolyAI opens Agentic Dialog Platform to every enterprise builder with free trial
PolyAI opened its Agentic Dialog Platform to every enterprise builder. The platform enables creation and deployment of voice-based dialog agents through a built-in interface for project creation and editing along with an SDK for integration into local coding environments. It supports real-time handling of complex customer interactions where callers alter details, add urgency, or introduce unexpected requests. Access now includes a free trial route installable directly from a terminal, shifting from prior enterprise contract models.
#914Matt Henderson@MATTHEN2PolyAI platform is now fully open 🎉
The UI has a built in agent for creating and editing your project. And the sdk allows you to bring this into your local coding agent setup.
Have a go and share any feedback!
PolyAI@polyaivoiceStarting 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/
#1032Rohan Paul@ROHANPAUL_AIVoice 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.
PolyAI@polyaivoiceStarting 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/
