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PolyAI Review

PolyAI is a conversational AI platform providing ultra-realistic, multilingual voice assistants for enterprise customer service.

shipped Jul 17, 2026paid
PolyAI — product screenshot

Why it matters

1PolyAI closed an $86 million Series D funding round in December 2025, bringing its total funding to over $200 million.
2As of 2023, PolyAI reported a 93% customer satisfaction score and a 97% customer resolution rate.
3The platform offers a Basic free tier and an API for developers, with usage pricing at $0.05 per call.
4PolyAI was ranked the #1 fastest-growing AI company in the Deloitte UK Technology Fast 50.

About PolyAI

Business Model
Subscription SaaS
Usage Pricing
$0.05/call per call
Free Credits
100 free API calls
Headquarters
London, UK
Founded
2015
Team Size
51-200
Funding
Series A
Total Raised
$40M
Platforms
Web, API
Target Audience
Enterprise businesses looking to implement AI-driven customer engagement solutions.

Pricing Plans

Basic
Free
  • Access to Agent Builder
  • Basic support
Enterprise
Contact for pricing / monthly
  • Full support
  • Integrations
  • Enterprise-grade security

Cost Examples

  • Make 1 call: ~$0.05

Leadership

Eleanor C. ReddickCEOLinkedIn

Investors

Canaan Partners, Notion Capital

Specs

API Available

Yes, public API

Screenshots

overview

What is PolyAI?

PolyAI is a conversational AI platform tool developed by PolyAI that enables large enterprises with high call volumes to automate complex customer service calls using human-like voice agents. It focuses on high call containment and direct integration into existing contact center infrastructure. The platform is designed to handle high volumes of calls with lifelike voices, supporting diverse languages for global operations. It targets large-scale enterprise deployments, including hotel brands, offering capabilities for brand-specific identity alignment and deep Property Management System (PMS) integration.

PolyAI builds AI-powered voice assistants that engage in natural, human-like conversations with customers. The platform leverages advanced Natural Language Processing (NLP) and machine learning to understand intent, context, and even subtle emotional cues, responding in a fluid, unscripted manner. The assistants can authenticate callers, complete transactions, manage orders, guide troubleshooting, and answer frequently asked questions, often resolving a significant portion of calls without human intervention.

Recent developments include an $86 million Series D funding round in December 2025, co-led by Georgian, Hedosophia, and Khosla Ventures, with participation from NVentures (NVIDIA), Citi Ventures, Zendesk Ventures, and Point72 Ventures, bringing total funding to over $200 million. In April 2026, PolyAI launched its Agent Development Kit (ADK), providing a developer-first approach for building, deploying, and improving AI agents. The Agentic Dialog Platform was opened in May 2026, and a new Agent Studio layout was rolled out in June 2026, consolidating over 25 pages into 15 grouped sections and featuring a "Studio Assistant" for prompt-based agent building. PolyAI maintains partnerships with entities such as AWS for enterprise deployment and OpenTable for reservation workflows.

features

Key Features of PolyAI

PolyAI's platform incorporates a range of features designed for enterprise-grade conversational AI, focusing on realistic voice interaction and robust integration capabilities. These features support high call containment and provide a customizable experience for large organizations.

  • Ultra-realistic, multilingual voice assistants
  • High call containment for enterprise customer service
  • Direct integration into existing infrastructure
  • Real-time adaptation of dialog agents
  • Multi-language support for global operations
  • Enterprise-grade security protocols
  • User-friendly interface for agent management
  • API available for custom development and integration
  • Brand-specific identity alignment for voice agents
  • Deep Property Management System (PMS) integration for hospitality clients

use cases

Who Should Use PolyAI?

PolyAI is primarily designed for large enterprises with substantial call volumes and complex customer service requirements. Its capabilities are tailored to industries that benefit from automating routine interactions while maintaining a high standard of conversational realism.

  • Large enterprises with high call volumes, such as financial services, hospitality, and telecommunications, for automating inbound customer service calls.
  • Organizations with phone-heavy operations, including airlines and utilities, for customer authentication and account management.
  • Companies in regulated industries like finance and healthcare, for transactional workflows, billing inquiries, and scheduling appointments.
  • Enterprise builders (technical and non-technical teams) seeking to deploy and customize AI agents using developer-first tools like the Agent Development Kit (ADK).

how to use

How to Use PolyAI

Implementing PolyAI typically involves an enterprise-level engagement, starting with consultation and integration into existing contact center systems. The platform provides tools for building and managing conversational AI agents.

  • 1Contact PolyAI for an enterprise consultation to define specific customer service automation needs.
  • 2Integrate PolyAI's voice AI agents with existing CRM, telephony systems, and Interactive Voice Response (IVR) infrastructure.
  • 3Utilize the Agent Development Kit (ADK) to build and customize conversational flows using preferred programming languages.
  • 4Deploy multilingual voice assistants to handle high volumes of inbound customer service calls.
  • 5Monitor agent performance and leverage the Agent Studio for ongoing improvements, updates, and prompt-based agent building.

pricing

PolyAI Pricing & Plans

PolyAI offers a tiered pricing structure that includes a free basic option and custom enterprise plans, alongside usage-based charges for calls. The platform is primarily designed for enterprise deployments, with pricing reflecting the scale and complexity of such implementations.

  • Basic: Free (includes 100 free API calls)
  • Enterprise: Contact for pricing (custom quotes based on deployment scale and features)
  • Usage Pricing: $0.05 per call

Pros

  • +Delivers ultra-realistic, human-like voice quality and conversational realism, effectively handling interruptions and topic shifts.
  • +Achieves high call containment and customer satisfaction, reporting a 97% resolution rate and 93% CSAT as of 2023.
  • +Offers strong integration capabilities with existing CRM, telephony systems, and IVRs for seamless enterprise deployment.
  • +Provides multilingual support, enabling global operations with diverse language requirements.
  • +Utilizes proprietary voice models, ensuring low latency and high voice quality independent of third-party LLMs.
  • +Features an Agent Development Kit (ADK) and Agent Studio for developer-first customization and efficient agent building.

Cons

  • Primarily enterprise-focused, lacking self-serve capabilities or a free trial for individual users or smaller businesses.
  • Pricing for enterprise tiers is not publicly transparent, requiring custom quotes and potentially longer sales cycles.
  • Some users have reported occasional performance issues, including slowness or lagging during operation.
  • The platform's enterprise-centric model may involve longer planning and implementation cycles compared to more agile solutions.

Policies

Pricing Page

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PolyAI vs Competitors

PolyAI positions itself as an enterprise voice AI platform for large organizations with high call volumes, emphasizing conversational depth, natural interaction, and reliability at scale. A key differentiator is its use of proprietary voice models, which provides tight control over latency and voice quality, rather than relying on third-party Large Language Models (LLMs) like OpenAI or ElevenLabs.

1

Cognigy emphasizes platform flexibility and orchestration depth across both voice and digital channels, allowing for comprehensive conversational control.

Compared to PolyAI's primary focus on highly natural, phone-first autonomous containment, Cognigy offers a broader enterprise-grade platform for omnichannel automation, including chat, email, and social messaging, designed for complex workflows and unified customer experiences.

2

Kore.ai provides an enterprise conversational AI platform with pre-built templates, full agent lifecycle management, and strong governance, making it ideal for regulated industries.

While PolyAI specializes in ultra-realistic voice assistants for high call containment, Kore.ai offers a more expansive platform for both voice and digital channels, featuring robust CRM integrations and industry-specific templates for diverse enterprise needs.

3

Genesys Cloud CX offers a complete contact center infrastructure with integrated AI, providing an end-to-end solution for omnichannel customer experiences.

Unlike PolyAI, which typically functions as a voice AI layer on top of existing contact centers, Genesys Cloud CX provides the option to replace both the legacy contact center and AI components with a single, unified platform.

4

Retell AI is a developer-focused Voice AI Agent platform that emphasizes API-driven customization, composable voice infrastructure, and transparent pricing for building programmable voice automation.

Retell AI offers a low-code and API-friendly environment, giving teams more direct control over updates and logic with publicly listed pay-per-minute rates, in contrast to PolyAI's managed enterprise deployment model and custom enterprise quotes.

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