PolyAI Blog

London, UK – PolyAI, a leading global provider of customer-led voice assistants, announced its products are now available on AWS Marketplace – Amazon’s digital catalogue that makes it easy for enterprises to find, buy, deploy, and manage third-party software, data, and services that run on Amazon Web Services (AWS). PolyAI’s customer-led voice assistants are designed […]

In most cases, we trust technology to do its literal job. Every time you make a phone call or turn on your television, you expect that the technology will respond accordingly. You do A; therefore, the technology will do B. But this trust is often missing in interactions with conversational technologies. I remember using a […]

As contact centers struggle to handle high call volumes, many turn to conversational assistants to resolve common customer queries. But what kind of calls are suitable for AI conversational assistants? One rubric our customers often use is a classification of call types based on customer call urgency and business priority. Customer urgency: Urgency is defined […]

I met my co-founders Tsung-Hsien Wen and Pei-Hao Su in 2014 during our time at the Cambridge Dialogue Systems Group. Even back then, academics were saying the problem of speech recognition was ‘solved’. The technology had reached “human-level performance” – meaning it was about as good as it could get. But it still wasn’t good […]

We’re delighted to announce that PolyAI has been named a Cool Vendor in Gartner’s latest Cool Vendors in Conversational AI Platforms report. The report – which focuses on vendors representing rising trends in conversational technologies – finds that “voice is becoming increasingly common, with end-to-end, human-like voice dialogues now possible within limited scopes.” Transactional Dialogue […]

We’re thrilled to announce our recently published paper on the PolyAI ConVEx framework. Our new technique, ConVEx (Conversational Value Extractor), is the most accurate value extractor on the market. It requires significantly less data than previous best systems, which means that PolyAI can create virtual assistants faster and better than anyone else, across any customer […]

At PolyAI, our conversational agents are powered, in part, by machine learning models that detect the intent behind what a user says. For example, in a banking environment, if a customer says “When did you send me my new card?”, the models will detect that you’re enquiring about card arrivals and the agent will route […]

The latest State of AI report from Nathan Benaich and Ian Hogarth has just been released and we’re thrilled that PolyAI has featured – twice! The report highlights the vast costs of training a model. “Based on variables released by Google et al., you’re paying circa $1 per 1,000 parameters. This means OpenAI’s 175B parameter […]

This summer, Google has been deploying its AI voice assistant called Duplex to call bars and restaurants in order to update their opening hours on Google Maps listings. Here’s a call their system had with our virtual assistant for restaurants.  As far as we’re aware, this is the first naturally-occurring conversation between AI voice […]