⚠️ Unsupported Browser

Your browser is not supported.

The latest version of Safari, Chrome, Firefox, Internet Explorer or Microsoft Edge is required to use this website.

Click the button below to update and we look forward to seeing you soon.

Update now

Categories

PolyAI Maintains Lead Over IBM Watson Assistant and Other Popular Language Understanding Models

In December 2020, the team at IBM published a blog post and technical paper in which they benchmarked the performance of a new-and-improved Watson Assistant against other conversational AI platforms from Google, Microsoft and Rasa. Naturally, we were very curious.  As it happens, some of the training datasets used in the benchmark test were the […]

PolyAI’s ConveRT Model Outperforms BERT and GPT-Based Models in Salesforce Research Evaluation

In a recent evaluation by Salesforce Research, PolyAI’s ConveRT model performed top across a range of metrics, while using a fraction of the computational resources. Salesforce’s recent paper, Probing Task-Oriented Dialogue Representation from Language Models, compared ConveRT to other pre-trained models, evaluating their ability to encapsulate conversational knowledge in application to Conversational AI tasks. ConveRT […]

So You Think You Can Build Your Own Conversational AI: Why DIY conversational AI won’t achieve performance at scale

We come across a lot of companies that are experimenting with DIY conversational voice assistant capabilities offered by the likes of Google Dialogflow, Amazon Lex or IBM Watson, or open-source frameworks like Rasa. But when we get further into discussions, most of these companies have not put their voice assistant into action with real customers. […]

Intent Classification with Geometrically-Friendly Embeddings

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 State of AI 2020: Creating a Model That Performs Better than Google, at a Fraction of the Cost

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 […]

Our Voice Assistant Spoke to Google Duplex. Here’s What Happened…

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 […]

Why Businesses Regret Using Self-Build Solutions to Create Virtual Assistants

When it comes to building a virtual assistant, many companies will turn to bot-building platforms like Google Dialogflow, Amazon Lex and Microsoft Bot Framework. The appeal of developing virtual assistants in-house is understandable, but it’s a decision that many companies come to regret. In this post, we’ll look at the pitfalls of bot-building platforms, highlighting […]

The Truth About End-to-End and Unsupervised Learning

There’s a common perception that creating an AI agent can be a simple process of end-to-end learning, where labelled data is fed to a model, and spat out neatly as a conversational agent. In conversational AI, end-to-end learning typically involves feeding a large amount of labelled conversations into a neural network model so that it […]

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 […]