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Categories

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 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 been holding […]

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

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 automating customer support 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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