PolyAI opens its Agentic Dialog Platform to developers and enterprises, enabling production-ready conversational AI agents for complex customer interactions at scale.
PolyAI has opened its Agentic Dialog Platform to developers and enterprise teams, making its conversational AI infrastructure available for broader production deployment across customer experience operations.
The platform, which powers conversational systems for enterprises including Marriott, FedEx, Caesars Entertainment, and UniCredit, is now accessible to builders through self-service tools and developer workflows.
According to the company, users can build and deploy production-ready dialog agents in under ten minutes using the same infrastructure and dialog models currently supporting enterprise deployments across 75 languages and 25 countries.
PolyAI stated that the platform is designed specifically for high-complexity customer interactions where conversational systems must maintain context, manage ambiguity, and resolve operational workflows without requiring human intervention.
The company also confirmed that the platform will be available for free for the first two months as part of the public rollout.
“Everyone wants to move at the speed of thought right now: writing code, shipping products, using AI to do in minutes what used to take days. But dialog with complexity, the kind where an agent must participate in a real, high-stakes conversation and actually deliver a resolution, is a problem that hasn’t been cracked at scale,” said Nikola Mrkšić, Co-Founder and Chief Executive Officer, PolyAI.
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Production-Ready Conversational AI Deployment
PolyAI stated that the platform was built to support complex customer conversations across industries, including hospitality, banking, utilities, restaurants, and telecommunications.
According to the company, the platform currently supports enterprise use cases such as:
- Medical appointment screening
- Utility emergency support
- Payment and transaction enquiries
- Hospitality reservations
- Restaurant ordering and customer service
The company stated that some enterprise deployments currently perform work equivalent to more than 1,000 full-time employees per organisation.
New Builder and Development Capabilities
As part of the rollout, PolyAI introduced several platform capabilities designed for enterprise AI deployment and developer accessibility:
- Poly Agent Builder: Generates production-ready dialog agents, knowledge bases, and conversation flows using natural language instructions.
- Agent Development Kit (ADK): Provides API access, CLI support, native integrations, and developer tooling for AI agent deployment workflows.
- Shareable Testing Environments: Enables teams to validate live conversational behaviour across channels before production rollout.
According to PolyAI, the tools are designed to simplify deployment workflows while maintaining enterprise-grade scalability and governance.
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Built on a Purpose-Built Dialog Model
At the core of the platform is Raven, PolyAI’s proprietary dialog model trained on more than one billion enterprise conversations.
The company stated that Raven was designed specifically for conversational workflows rather than adapting traditional chat-focused models for voice interactions.
“Most models treat dialog as an afterthought, with prompts layered on top after the fact. With Raven, agent behaviour is in the weights, not bolted on through prompts that drift under pressure,” said Shawn Wen, Co-Founder and Chief Technology Officer, PolyAI.
According to PolyAI, enterprises can also integrate external models, including GPT-5, Claude, and Gemini, alongside Raven, depending on operational, regulatory, and language requirements.
Expanding Enterprise AI Customer Operations
PolyAI stated that the launch reflects broader enterprise demand for AI systems capable of managing complex operational customer interactions at a production scale.
The company stated that opening the platform enables CX, operations, and product teams to deploy conversational AI more quickly while maintaining enterprise controls, scalability, and workflow integration capabilities.
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