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Categories

How PolyAI Updates Customer Service AI Agents in Minutes

Two of the main barriers holding companies back from embracing conversational AI are cost and previous bad experiences. More often than not, these two barriers are linked. Conversational AI companies have previously over-promised and under-delivered, thanks to complex technological approaches that are costly and unsustainable. In this post, we’ll explain how most conversational AI companies […]

PolyAI Encoder Model: Understanding as a Service

One of the fundamental building blocks of conversational AI is understanding natural language. AI agents need to understand what a user has just said in order to react accordingly. In this post I’ll give an intuitive explanation about how we solve this problem using the PolyAI Encoder model. Let’s start by looking at how humans […]

Using Conversational AI to Manage Bookings and Appointments

We’ve recently been working on a voice assistant that uses conversational AI to manage bookings and appointments. In this post, we’re going to look at the nuances involved in virtual agents to manage bookings and appointments, and share how we’ve been able to craft a reliable solution, soon to be rolled out over restaurants across […]

PolyAI awarded ‘Company of the Year 2019’ by the Cambridge Computer Lab Ring

We are happy to announce that PolyAI was named ‘Company of the Year 2019’ by the Cambridge Computer Lab Ring, the graduate association of the Department of Computer Science and Technology, University of Cambridge. Previous Company of the Year recipients include Deepmind Technologies, Improbable, SwiftKey, and Raspberry Pi. Founded in 2002, the Cambridge Ring has […]

We’re Building the Most Accurate Intent Detector on the Market

Intent detection is the task of classifying a user’s intent. For example, in the hospitality industry, intent categories might be ‘make a reservation’, ‘cancel reservation’, ‘update reservation’ etc. While this is a key part for any conversational AI platform, it is a somewhat under-resourced area of research. Publicly available intent datasets are usually very small […]

Using Conversational AI to Manage ID&V in Contact Centers

We’ve recently been working with large contact centers to explore the best potential opportunities for automation for their clients. We focused on a large UK retailer who employ contact centers to handle calls about deliveries, refunds, existing order enquiries, and placing new orders. We ruled out automating the process of placing new orders. We generally […]

Towards Composing Multilingual Conversations

Speaking more languages simply means reaching more people. This statement is equally true when it relates to humans or to conversational AI systems. The transformative nature of polyglot AI technology opens up new opportunities by catering to wider audiences and offering multilingual solutions. At PolyAI, our mission is to overcome the language barriers through our […]

A Repository of Conversational Datasets

Progress in Machine Learning is often driven by large datasets and consistent evaluation metrics. To this end, PolyAI is releasing a collection of conversational datasets consisting of hundreds of millions of examples, and a standardised evaluation framework for models of conversational response selection. Conversational response selection, the task of identifying a correct response to a […]

The Magic Triangle of Dialogue Data Collection

Data is the driving force behind all our machine learning models. Although the word data itself buzzes a lot, the craft of getting and leveraging data for building conversational AI is unknown to many. A simple yet governing credo here at PolyAI is “no good data, no conversational AI” — which is also where our culture of […]

Neural Language Understanding of People’s Names

This is a deep-dive into one of the problems we face when we model dialogue: understanding mentions of people’s names in a restaurant booking system. This article presents how we approached the problem and solved it using some creative neural network structures. At PolyAI, we use datasets of billions of conversations and unstructured natural language […]

Towards AI-Assisted Customer Support Automation

There is a growing need for customer support automation using the latest AI technology, and it has the potential to completely change the industry landscape. The following roadmap outlines how PolyAI plans to achieve the ambition through step-by-step milestones, which also provide insights to contact center owners on how technology can be leveraged to transform […]

Moving from Engineering to Orchestrating Conversations

The idea of engineering chatbots has failed us for way too long. It’s time to embrace a new philosophy and start orchestrating conversations, through data! At PolyAI, it has been the cornerstone of an approach which has empowered us to innovate and challenge the status quo. Ever since the imitation game was proposed by Turing […]

The Age of Personal Assistants: More Machine Learning, Less Hand-Crafting!

The first phone call was placed on March 10, 1876. Graham Bell shouted at his assistant: “Mr Watson, come here — I want to see you!” This was a game changer. For the first time in history, we had real-time remote communication, and with it, the ability to remotely automate all kinds of services. In his case, […]

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