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Customers want self-service options that are smarter, faster, and more convenient, but often businesses are not meeting these demands.

Raffle provides a turnkey solution for unlocking employee productivity by giving employees greater access to information.

Raffle Workplace Search offers a seamless search experience of the company's knowledge database, which is key for a good onboarding experience and moving your employees into the future.

Hear from Jesper, Knowledge Manager in Technology company Visma, how his colleagues can't live without Raffle.

Hear from Nora, from Energy company E.on, how using Raffle not only saves time but also helps with onboarding.

Hear from Kristian E. Beyer, Head of Communications, in Energy company Frederiksberg Forsyning, how Raffle Site Search took the guessing out of customer service.

These days AI is an over-hyped buzzword, and not many people really know what real AI is.

AI is reshaping how companies do business by developing computer systems to be able to perform tasks that normally require human intelligence.

We propose a Neural Machine Translation model with a hierarchical char2word encoder that takes individual characters as input and output.

Read this list of statistics that underline the importance of self-service in the digital customer experience and how Raffles Site Search uses AI to deliver them to the customer.

Learn more about recurrent relational networks to train AI to mimic human behaviors.

Deep generative models parameterized by neural networks have recently achieved state-of-the-art performance in unsupervised and semi-supervised learning.

We present an autoencoder that leverages learned representations to better measure similarities in data space.

View CEO Suzanne Laurizten's interview with the Danish newspaper Børsen regarding Raffle's advanced search.

Raffle, an AI-driven search tool for businesses, is already being approached by potential investors and growing to new heights.

Learn more about hash embeddings, an efficient method for representing words in a continuous vector form.

Chatbots were all the rage a few years ago, yet they have major limitations. Let's examine the reasons why.

Watch a discussion between Raffles CEO and CRO about recent megatrends in AI and opportunities for companies to expand their competencies.

Dive into the conversation around unsupervised learning and its impact within Raffle to understand our unique structure.

We believe in a data-driven approach to train data instead of defining rules allowing for an advanced search. See how!

Deep generative models trained with large amounts of unlabelled data have proven to be powerful within the domain of unsupervised learning.

Chatbots are just bad customer service as customers are forced to go through a decision tree-based conversation- discover how Raffle is better.

This is the first of a series of four posts about the technology behind Raffle products, the future of AI, and NLP.

Find out how easy it is to deploy Raffle's advanced search in this video.

Discover why chatbots are yesterday's news in our video.

Learn the evolution of AI from a symbolic algorithm to a machine that can mimic human intelligence.

Here are some tips and tricks on how to improve the remote work experience and deliver excellent customer service.

Why is it better to empower your customers with self-service rather than "deflect" them away from contacting you? Find out more here.

Read about how Raffle employees have contributed to an AI-powered customer service tool that’s easy to use and looks nice too!

Raffle presents 6 solutions that are efficient and cost-effective ways to solve many of your customer service challenges.

What is NLP? Read more about natural language processing within Raffle and how the software understands contextual meaning from text.

We propose the Attend, Copy, Parse architecture, a deep neural network model trained directly on end-to-end data, bypassing the need for word-level labels.

Why do chatbots not work? They are fake conversations with no real solutions, while Raffle delivers quick and accurate solutions.

Come spend day with a Raffle Data Scientist to understand the job description and Raffle operations.

Get an insight into the technical aspect of the raffle search engine and learn why this is a better way to empower your customers.

Discover Raffle's deep learning framework and models to create our unique AI algorithms that are the core of our products.

Uncover the benefits AI technology can have for employee productivity and customer service within this post detailing 5 ways to do so effectively.

How do we cover the whole customer cycle with our AI tools for customer support? It starts with a question and is explained in this video.

Watch the webinar and learn how ViaBill uses Raffle to cope with busy times as Black Friday rolls into full swing.

Find out what the future of conversational AI has to offer and how Raffle plans to be a part of technological innovation.

Denmark is known as a progressive country, leading the way in green innovations, quality of life, and opportunities! See how Raffle seizes it all.

In this post, we defend the main reasons for implementing 24/7 customer support, how Artificial Intelligence (AI) can help, and offer some next steps.

Why BERT? See why Raffle adopted the language model BERT to create our advanced search.

Gain insight into the latest trends in AI based on Raffle's utilization of the latest developments in machine learning for natural text analysis.

Listen to Raffle's CRO, Ole, as he looks at the deep learning revolution that lets your employees find what they are looking for instantly.

See how 49% of ViaBill's website visitors find their answers through Raffle Site Search.

Read more on how open source increases the ease of using deep learning and how Raffle has built on this technology.

Hear about the challenges of Raffle presented by its founders as they discover the vast potential of AI for employees and customers.

Unearth the future of conversational AI and how Raffle places itself in AI history.

Listen to Ole talk about the latest methods and how Raffle uses these techniques to create its advanced search.