Poly ai

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Customer-Led Voice Assistants

Consistently deliver your best brand experience, achieve accurate resolution and uncover data-driven business opportunities

// Overview

Put your customers in the driver’s seat

Like talking to a real person, speak naturally, interrupt, ask questions, and dive in and out of different topics.

Fully resolve over 50% of all customer calls

Rapidly improve resolution rates, accurately map to business rules, eliminate wait times with 24×7 availability, and free your people to add higher value.

Game-changing insights at your fingertips

Utilize relevant data throughout the flow of the conversation, inform operational improvements, and discover opportunities.

Co-create custom voice assistants to meet your brand’s specific needs

We collaborate with you, delivering an innovative, customized solution typically in 6 weeks or less.

What could a customer-led voice assistant do for you?

Who we are

PolyAI builds enterprise voice assistants that carry on natural conversations with customers to solve their problems. Our voice assistants understand customers, regardless of what they say or how they say it.

We serve enterprises where customer conversation is an important part of doing business. Our customers include some of the leading names in banking, hospitality, insurance, retail, and telecommunications.

Our enterprise clients deploy PolyAI voice assistants to cut down on wait times and free up live staff to focus on calls requiring empathy and judgment. As a result, our enterprise clients see improved customer satisfaction, employee retention and operational efficiency.

PolyAI was born in the same University of Cambridge lab that pioneered speech recognition. Together, we have published over 200 papers which have been cited over 12,000 times, and registered 6 patents with 3 more pending. PolyAI has previously been recognized by Gartner as a Cool Vendor in Conversational AI, by Forbes in the 2023 AI 50 list, and by CB Insights in the 2021 AI 100 list. PolyAI has been featured in Bloomberg, The Washington Post, The Wall Street Journal, The New York Times, Forbes and TechCrunch.

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