PolyAI

PolyAI helps enterprises show up as the best versions of themselves in every conversation.

[PolyAI @polyaivoice]

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: https://t.co/ifZOy1uEBz

[PolyAI @polyaivoice]

🇨🇦 PolyAI is coming to Toronto!

Toronto has one of the deepest concentrations of AI talent anywhere in the world, and our North American customers are growing fast. Being on the ground means we can move with them and recruit the teams who will define the next phase of our platform.

Our team there will be focused on agent design, deployment engineering, and business development.

Read about where we're headed next: https://t.co/CI2nbTlFpU

[PolyAI @polyaivoice]

Our Agentic Dialog Platform is now open to every enterprise builder. On the latest Deep Learning, PolyAI's Senior Forward Deployed AI Engineer, Ruari Phipps, and Director of Product Management, Frank Ferro, show what that looks like in practice.

Using the Agent Development Kit (ADK), they go from a blank project and a one-page spec to a fully working agent that handles knowledge base Q&A and a multi-step booking flow, plus is ready to deploy across voice, chat, and SMS.

However you prefer to build, there's a path for you. Describe what you need in natural language with our Agent Builder, or go code-first with the ADK: your IDE, your Git workflow, your terminal.

Build your agent today at https://t.co/dyJjpHO9EP

Watch the full episode: https://t.co/aWg89jkAMa

[PolyAI @polyaivoice]

@bally_kehal We're excited to hear what you build with it: https://t.co/eBX0s5ZMyc

[PolyAI @polyaivoice]

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: https://t.co/ifZOy1uEBz

[PolyAI @polyaivoice]

@saidul_dev That's exactly the distinction that matters. Generating a response and actually resolving a problem are very different things.

[PolyAI @polyaivoice]

@AhsanJaveriya Those conversations are exactly what shaped how we built Raven.

[PolyAI @polyaivoice]

@trikcode A lot of hard work went into getting here! We're excited for you to try it: https://t.co/VvsrvMUpqt

[PolyAI @polyaivoice]

@JafarNajafov Exactly! The people who understand the problem best should have access to the solution 🙌

[PolyAI @polyaivoice]

@floriandarroman Hospitality is one of our strongest use cases. High volume, repetitive queries, and customers who just want a quick answer. Excited for you to try it 🙌

[PolyAI @polyaivoice]

@AIbyMaryam The goal was to get the people who know the customer problems best building solutions themselves, without needing an engineering team behind them.

[PolyAI @polyaivoice]

@itsolelehmann That was the goal. Get something production-ready in minutes, not months.

[PolyAI @polyaivoice]

@JamesonCamp We'd love to hear how it goes as you build it out!

[PolyAI @polyaivoice]

@sukh_saroy That's exactly it. Built for dialog from the ground up, not retrofitted!

[PolyAI @polyaivoice]

@systemdesignone Excited for you to try it. Let us know how you get on!

[PolyAI @polyaivoice]

@Igor_Buinevici Lots more where this came from!

[PolyAI @polyaivoice]

@pankajkumar_dev We can't wait for you to try it 🙌

[PolyAI @polyaivoice]

Please join us in welcoming all four on board!

[PolyAI @polyaivoice]

PolyAI is growing fast, and we're bringing in a bench of incredible leaders to keep building.

Read more about the hires, our new Toronto hub, and where we're headed next: https://t.co/HQaoRrCILz

[PolyAI @polyaivoice]

Danielle Waknine joins our Canadian operations to lead GTM expansion into new verticals. She comes from Shopify, where she scaled the B2B vertical from zero to $100M in under a year.